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Kumari P, Singh HP, Singh S. Mathematical model for understanding the relationship between diabetes and novel coronavirus. Gene 2025; 934:148970. [PMID: 39357581 DOI: 10.1016/j.gene.2024.148970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2024] [Revised: 09/15/2024] [Accepted: 09/25/2024] [Indexed: 10/04/2024]
Abstract
A new model is proposed to explore interactions between diabetes and novel coronavirus. The model accounted for both the omicron variant and variants varying from omicron. The model investigated compartments such as hospitalization, diabetes, co-infection, omicron variant, and quarantine. Additionally, the impact of different vaccination doses is assessed. Sensitivity analysis is carried out to determine disease prevalence and control options, emphasizing the significance of knowing epidemics and their characteristics. The model is validated using actual data from Japan. The parameters are fitted with the help of "Least Square Curve Fitting" method to describe the dynamic behavior of the proposed model. Simulation results and theoretical findings demonstrate the dynamic behavior of novel coronavirus and diabetes mellitus (DM). Biological illustrations that illustrate impact of model parameters are evaluated. Furthermore, effect of vaccine efficacy and vaccination rates for the vaccine's first, second, and booster doses is conducted. The impact of various preventive measures, such as hospitalization rate, quarantine or self-isolation rate, vaccine dose-1, dose-2, and booster dose, is considered for diabetic individuals in contact with symptomatic or asymptomatic COVID-19 infectious people in the proposed model. The findings demonstrate the significance of vaccine doses on people with diabetes and individuals infectious with omicron variant. The proposed work helps with subsequent prevention efforts and the design of a vaccination policy to mitigate the effect of the novel coronavirus.
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Affiliation(s)
- Preety Kumari
- Faculty of Mathematical Science, University of Delhi, Delhi 110007, India; School of Engineering & Technology, Central University of Haryana, Mahendergarh 123031, India.
| | | | - Swarn Singh
- Sri Venkateswara College, University of Delhi, Delhi 110021, India.
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2
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Gao X, Yeo YH, Lv F, He X, Park J, Samaan J, Zhao Y, Han Ng W, Wang J, Ji F, Melmed GY. Increased gastrointestinal bleeding-related mortality during the COVID-19 pandemic. Therap Adv Gastroenterol 2025; 18:17562848241311006. [PMID: 39758969 PMCID: PMC11694306 DOI: 10.1177/17562848241311006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2024] [Accepted: 12/10/2024] [Indexed: 01/07/2025] Open
Abstract
Background Despite its significant health burden, there is a lack of national-level temporal patterns in gastrointestinal bleeding (GIB) mortality. Objectives To comprehensively decipher the annual and monthly trend of GIB-related mortality in the United States. Design Cross-sectional study. Methods We analyzed the National Vital Statistic System database, which documents more than 99% of the annual deaths in the United States for GIB-related deaths from January 2010 to May 2023. Annual and monthly age-standardized mortality rates were estimated and categorized by age, sex, and bleeding site. Joinpoint regression was performed for trend analysis. Prediction modeling was conducted to determine the GIB-associated excess mortality. Results A total of 529,094 and 210,641 GIB-associated deaths occurred before and after 2020, respectively. Following a stably decreasing trend between 2010 and 2019, there was an excess mortality rate during the pandemic which peaked in 2021. The monthly mortality trend showed spikes corresponding to the outbreak of variants. Importantly, excess GIB-related mortality resolved in 2023, with the convergence of predicted and observed mortality rates. Subgroup analysis showed that young males (aged 19-44 years) were affected the most during the pandemic, with excess mortality rates of 35.80%, 52.77%, and 31.46% in 2020, 2021, and 2022, respectively. While the increasing trend of upper GIB was accentuated during the pandemic, lower GIB showed a reversal of the pre-pandemic decreasing trend. Conclusion Our findings demonstrate the trend of GIB-related mortality, underscoring an increased excess death during the pandemic followed by a resolution in 2023. We identify subpopulations vulnerable to the pandemic.
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Affiliation(s)
- Xu Gao
- Division of Gastroenterology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Yee Hui Yeo
- Karsh Division of Gastroenterology and Hepatology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Fan Lv
- School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China
| | - Xinyuan He
- Department of Infectious Diseases, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Justin Park
- Division of General Internal Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jamil Samaan
- School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, China
| | - Yunyu Zhao
- Department of Infectious Diseases, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Wee Han Ng
- Bristol Medical School, University of Bristol, Bristol, UK
| | - Jinhai Wang
- Division of Gastroenterology, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Fanpu Ji
- Department of Infectious Diseases, The Second Affiliated Hospital of Xi’an Jiaotong University, No. 157 Xi Wu Road, Xi’an 710004, Shaanxi Province, China National & Local Joint Engineering Research Center of Biodiagnosis and Biotherapy, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China Shaanxi Provincial Clinical Medical Research Center of Infectious Diseases, Xi’an, China Key Laboratory of Surgical Critical Care and Life Support (Xi’an Jiaotong University), Ministry of Education, China Key Laboratory of Environment and Genes Related to Diseases, Xi’an Jiaotong University, Ministry of Education, China
| | - Gil Y. Melmed
- F. Widjaja Inflammatory Bowel Disease Institute, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, West Hollywood 90048, CA, USAKarsh Division of Gastroenterology and Hepatology, Cedars-Sinai Medical Center, Los Angeles, CA, USA
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Glette‐Iversen I, Aven T, Flage R. A risk science perspective on vaccines. RISK ANALYSIS : AN OFFICIAL PUBLICATION OF THE SOCIETY FOR RISK ANALYSIS 2024; 44:2780-2796. [PMID: 37748932 PMCID: PMC11669561 DOI: 10.1111/risa.14228] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 08/27/2023] [Accepted: 09/05/2023] [Indexed: 09/27/2023]
Abstract
Vaccines can be seen as one of the greatest successes in modern medicine. Good examples are the vaccines against smallpox, polio, and measles. Unfortunately, vaccines can have side effects, but the risks are considered by the health authorities and experts to be small compared to their benefits. Nevertheless, there are many who are skeptical of vaccination, something which has been very clearly demonstrated in relation to the COVID-19 disease. Risk is the key concept when evaluating a vaccine, in relation to both its ability to protect against the disease and its side effects. However, risk is a challenging concept to measure, which makes communication about vaccines' performance and side effects difficult. The present article aims at providing new insights into vaccine risks-the understanding, perception, communication, and handling of them-by adopting what is here referred to as a contemporary risk science perspective. This perspective clarifies the relationships between the risk concept and terms like uncertainty, knowledge, and probability. The skepticism toward vaccines is multifaceted, and influenced by concerns that extend beyond the effectiveness and safety of the vaccines. However, by clarifying the relationships between key concepts of risk, particularly how uncertainty affects risk and its characterization, we can improve our understanding of this issue.
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Affiliation(s)
| | - Terje Aven
- Department of Safety, Economics and PlanningUniversity of StavangerStavangerNorway
| | - Roger Flage
- Department of Safety, Economics and PlanningUniversity of StavangerStavangerNorway
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4
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Sun L, Zhou B, Guo Y, Huang Y, Tang Z, Wu Z, Li Y, Zhao L, Shan Y, Xu X, Jiang H. Clinical characteristics and booster vaccine effectiveness of the Omicron variant. BMC Infect Dis 2024; 24:1351. [PMID: 39593005 PMCID: PMC11600739 DOI: 10.1186/s12879-024-10261-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Accepted: 11/22/2024] [Indexed: 11/28/2024] Open
Abstract
BACKGROUND Although many people received the COVID-19 vaccine, shortly after the Chinese government announced that the three-year COVID-19 restrictions were being eased, the first large number of Omicron infections appeared in Beijing. We describe epidemiological characteristics, clinical severity, and time-to-event distribution of patients infected with SARS-CoV-2 in Beijing Omicron outbreak, comparing those who received the booster vaccine with cases of full-course/partial-course vaccines. METHODS We collected epidemiological, clinical, laboratory, and clinical management data from the hospital information system (HIS) for 1495 cases during Dec 2022-Jan 2023. We also collected illness onset time, diagnosis time, hospital admission time, and start and end times of each treatment. In addition, we collected the time of vaccination, inoculation times, and type of COVID-19 vaccination thorough the vaccination system. We described the epidemiological characteristics across vaccine inoculation doses, and estimated the risk of death, mechanical ventilation, and admission to the intensive care unit for patients admitted to hospital. We used the Kaplan-Meier method to estimate the survival rate and plot the survival curve, and the Cox proportional hazards model to assess the effect of covariates on survival time. RESULTS Of the 1495 cases, 58.1% were male. The median ages in the non-vaccinated and vaccinated groups were 80 and 47 years. Elderly with underlying medical conditions and lower BMI less willing to vaccinate(p < 0.05). Both the inactivated vaccine and adenovirus vaccine could reduce clinical severity and prolong survival time, and the protective effect of booster vaccination was the best. The clinical severity increased linearly from the booster vaccinated group to the full-course vaccinated group and non-vaccinated groups, and the death risk of COVID-19 cases without vaccination was the highest. CONCLUSION Booster vaccines of COVID-19 can provide greater protection against severe illness and death, and continuous monitoring and regular assessment are needed to minimize the risk of a recurrence of the pandemic.
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Affiliation(s)
- Lijun Sun
- Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma & War Injuries PLA, The Fourth Medical Center of Chinese PLA General Hospital, Beijing, 100048, China
- National Clinical Research Center for Orthopedics, Sports Medicine & Rehabilitation Department of Orthopedics, Chinese PLA General Hospital, Beijing, 100853, P.R. China
| | - Biye Zhou
- The Sixth Medical Center, Chinese PLA General Hospital, Beijing, 100048, China
| | - Yijia Guo
- Beijing Chest Hospital, Capital Medical University, Beijing, 101149, China
- Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, China
| | - Yunfei Huang
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China
| | - Zihui Tang
- The North Campus of the Fifth Medical Center of the General Hospital of the People's Liberation Army, Beijing, 100039, China
| | - Zhaojun Wu
- Beijing Chest Hospital, Capital Medical University, Beijing, 101149, China
- Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, China
| | - Yuwei Li
- Beijing Chest Hospital, Capital Medical University, Beijing, 101149, China
- Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, China
| | - Liping Zhao
- Beijing Chest Hospital, Capital Medical University, Beijing, 101149, China
- Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, China
| | - Yi Shan
- The Sixth Medical Center, Chinese PLA General Hospital, Beijing, 100048, China
| | - Xiaolong Xu
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China
| | - Hui Jiang
- Beijing Chest Hospital, Capital Medical University, Beijing, 101149, China.
- Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, 101149, China.
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5
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Zheng Z, Lu Y, Wu H, Lam PU, Sun X, Song Y, Ji H, Luo Y, Zhou T, Feng M, Wan P, Zhu J, Li P, Deng J, Shen N, Cao Q, Liang J, Xia Q, Xue F. Clinical outcomes of Omicron infection and vaccine acceptance among pediatric liver transplant recipients: insights from a cross-sectional survey. Virol J 2024; 21:299. [PMID: 39578871 PMCID: PMC11583437 DOI: 10.1186/s12985-024-02531-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Accepted: 10/10/2024] [Indexed: 11/24/2024] Open
Abstract
OBJECTIVES Our study aims to explore the clinical characteristics of Omicron infection in pediatric liver transplant recipients (PLTRs), after the national COVID-19 outbreak. Additionally, we will investigate changes in vaccine coverage and parental attitudes towards vaccinating their children after this current outbreak. METHODS We conducted a web-based questionnaire survey to gather information on Omicron infection, vaccination status, and guardian attitude among PLTRs. Besides, utilized valid questionnaire and long-term follow-up information processing techniques, and performed statistical analysis of relevant parameters. RESULTS 528 valid questionnaires were collected, among which, 251 responses replied Omicron infection status. The Omicron infection rate in Chinese PLTRs was 56.2% (141/251), similar to the report in the normal population (around 60%). 99.3% of infected PLTRs presented mild symptoms, mostly with fever (78.0%), followed by Cough (76.6%), with a mean RTPCR conversion time of 7 days; the overall PLTRs' vaccination rate in this study was 13.3%, similar to that of our previous study (9.4%). Besides, we found no significant differences of either infection rate or clinical symptoms between the vaccinated and unvaccinated groups. Moreover, the study showed 61.6% of guardians supported COVID-19 inoculation despite the outbreak of Omicron status. CONCLUSIONS The symptoms of Omicron infection in Chinese PLTRs were relatively mild, vaccine immunization had a limited effect on PLTRs' defense against Omicron infection, besides, their guardians supported the inoculation policy with a caution. CLINICAL TRIAL REGISTRATION http://www.chictr.org.cn , identifier ChiCTR2200055968.
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Affiliation(s)
- Zhigang Zheng
- Department of Liver Surgery and Liver Transplantation, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
| | - Yefeng Lu
- Department of Liver Surgery and Liver Transplantation, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Huimin Wu
- Department of Liver Surgery and Liver Transplantation, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Pui U Lam
- School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Xiaowei Sun
- Clinical Research Center, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yanyan Song
- Department of Biostatistics, Clinical Research Institute, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hao Ji
- Department of Liver Surgery and Liver Transplantation, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yi Luo
- Department of Liver Surgery and Liver Transplantation, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Tao Zhou
- Department of Liver Surgery and Liver Transplantation, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Mingxuan Feng
- Department of Liver Surgery and Liver Transplantation, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Ping Wan
- Department of Liver Surgery and Liver Transplantation, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jianjun Zhu
- Department of Liver Surgery and Liver Transplantation, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Peiying Li
- Department of Anesthesiology, Clinical Research Center, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jun Deng
- State Key Laboratory of Oncogenes and Related Genes, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Nan Shen
- Department of Infectious Disease, Shanghai Children's Medical Center, National Children's Medical Center School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Qing Cao
- Department of Infectious Disease, Shanghai Children's Medical Center, National Children's Medical Center School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Ji Liang
- Shanghai Children's Medical Center-bioMérieux Laboratory, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- bioMérieux (Shanghai) Company Limited, Shanghai, China
| | - Qiang Xia
- Department of Liver Surgery and Liver Transplantation, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
- Shanghai Engineering Research Center of Transplantation and Immunology, Shanghai, China
- Shanghai Institute of Transplantation, Shanghai, China
| | - Feng Xue
- Department of Liver Surgery and Liver Transplantation, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
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Dinç HÖ, Can G, Budak B, Daşdemir FO, Keskin E, Kirkoyun-Uysal H, Aydoğan O, Balkan II, Karaali R, Ergin S, Saltoğlu N, Kocazeybek B. Antibody responses post-booster COVID-19 vaccination: Insights from a single-center prospective cohort study. Diagn Microbiol Infect Dis 2024; 110:116425. [PMID: 39098282 DOI: 10.1016/j.diagmicrobio.2024.116425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Revised: 06/22/2024] [Accepted: 07/04/2024] [Indexed: 08/06/2024]
Abstract
The study aimed to evaluate the effect of booster dose COVID-19 vaccines on prevention and humoral immune response in individuals with different vaccination schemes during the period BA.4 and BA.5 omicron sub-variants were globally dominant. The study included 146 individuals who preferred different vaccination schemes for booster doses. Anti-spike/RBD-IgG and neutralizing antibody levels were measured 28 days after the booster dose vaccination upon their consent. There is no significant difference between median antibody titers detected according to different vaccination schemes. SARS-CoV-2 neutralizing antibody inhibition percentages were detected significantly higher in serum samples before and after the last booster dose in 2 BNT162b2+1 BNT162b2(99.42 %), 2 BNT162b2 + 2 BNT162b2(99.42 %), and 2 BNT162b2 + 3 BNT162b2(99.42 %) vaccination schemes (p = 0.004, p = 0.044, p = 0.002,respectively). The study indicated that a booster vaccination dose provides a high level of protection against severe COVID-19 and death. We think that the variant-specific pancoronavirus vaccines will be necessary to protect against breakthrough infections.
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Affiliation(s)
- Harika-Öykü Dinç
- Department of Medical Microbiology, Faculty of Medicine, Üsküdar University, Istanbul, 34768, Turkey
| | - Günay Can
- Department of Public Health, Cerrahpaşa Medical Faculty, Istanbul University-Cerrahpaşa, Istanbul 34098, Turkey
| | - Beyhan Budak
- Department of Infectious Diseases and Clinical Microbiology, Cerrahpaşa Medical Faculty, Istanbul University-Cerrahpaşa, Istanbul 34098, Turkey
| | - Ferhat-Osman Daşdemir
- Department of Medical Microbiology, Cerrahpaşa Medical Faculty, Istanbul University-Cerrahpaşa, Istanbul 34098, Turkey
| | - Elif Keskin
- Department of Medical Microbiology, Cerrahpaşa Medical Faculty, Istanbul University-Cerrahpaşa, Istanbul 34098, Turkey
| | - Hayriye Kirkoyun-Uysal
- Department of Medical Microbiology, Faculty of Medicine, Istanbul University, Istanbul 34093, Turkey
| | - Okan Aydoğan
- Department of Medical Microbiology, Faculty of Medicine, Istanbul Medipol University, Istanbul 34810, Turkey
| | - Ilker-Inanç Balkan
- Department of Infectious Diseases and Clinical Microbiology, Cerrahpaşa Medical Faculty, Istanbul University-Cerrahpaşa, Istanbul 34098, Turkey
| | - Rıdvan Karaali
- Department of Infectious Diseases and Clinical Microbiology, Cerrahpaşa Medical Faculty, Istanbul University-Cerrahpaşa, Istanbul 34098, Turkey
| | - Sevgi Ergin
- Department of Medical Microbiology, Cerrahpaşa Medical Faculty, Istanbul University-Cerrahpaşa, Istanbul 34098, Turkey
| | - Neşe Saltoğlu
- Department of Infectious Diseases and Clinical Microbiology, Cerrahpaşa Medical Faculty, Istanbul University-Cerrahpaşa, Istanbul 34098, Turkey
| | - Bekir Kocazeybek
- Department of Medical Microbiology, Cerrahpaşa Medical Faculty, Istanbul University-Cerrahpaşa, Istanbul 34098, Turkey.
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7
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Su Z, Li Y, Xie Y, Huang Z, Cheng A, Zhou X, Li J, Qin R, Wei X, Liu Y, Xia X, Song Q, Zhao L, Liu Z, Xiao D, Wang C. Acute and long COVID-19 symptoms and associated factors in the omicron-dominant period: a nationwide survey via the online platform Wenjuanxing in China. BMC Public Health 2024; 24:2086. [PMID: 39090598 PMCID: PMC11295386 DOI: 10.1186/s12889-024-19510-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Accepted: 07/17/2024] [Indexed: 08/04/2024] Open
Abstract
BACKGROUNDS To our knowledge, there is no available nationwide data on omicron symptom patterns in China mainland. We aim to determine the acute and long COVID-19 symptoms in the omicron-dominant period and to evaluate its association with risk factors. METHODS We designed a cross-sectional nationwide study and data about self-reported symptoms were collected by an online platform named Wenjuanxing. Eligible participants were aged 25-65 years and were symptomatic. In this study, the ratios of the number of people of different ages and genders were weighted by the data from the Seventh National Census (2020 years), and validated by a published nationwide representative study through comparing smoking rates. Descriptive indicators were calculated for demographic characteristics, diagnosis ways, and duration time, acute symptoms, hospitalization, severity and long COVID-19 symptoms. And, the associations between risk factors and acute and long COVID-19 symptoms were analyzed by multivariable logistic regression models. RESULTS A total of 32,528 individuals diagnosed as COVID-19 infection from October 1, 2022 to February 21, 2023 were included. The first three acute symptoms of COVID-19 infection were fever (69.90%), headache (62.63%), and sore throat (54.29%), respectively. The hospitalization rate within 7 days was 3.07% and symptoms disappearance rate within 21 days was 68.84%, respectively. Among 3983 COVID-19 patients with 3 months or more time difference between first infection and participation into the study, the long COVID-19 rate was 19.68% and the primary symptoms were muscle weakness (19.39%), headache (17.98%) and smell/taste disorder (15.18%). Age groups, smoking, marriage status and vaccination were risk factors for numbers of acute phase symptoms and long COVID-19 symptoms. Lastly, female and current smokers also showed more numbers of symptoms during acute infection period. CONCLUSIONS In Chinese mainland, our respondent indicated that current smokers and women were associated with acute COVID-19 symptoms, which should be treated with caution due to the lack of representative.
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Affiliation(s)
- Zheng Su
- Department of Tobacco Control and Prevention of Respiratory Diseases, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
- Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Yinghua Li
- China Health Education Center, Beijing, China
| | - Ying Xie
- Department of Tobacco Control and Prevention of Respiratory Diseases, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
- Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
- School of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhenxiao Huang
- Department of Tobacco Control and Prevention of Respiratory Diseases, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
- Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
- School of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Anqi Cheng
- Department of Tobacco Control and Prevention of Respiratory Diseases, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
- Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Xinmei Zhou
- Department of Tobacco Control and Prevention of Respiratory Diseases, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
- Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Jinxuan Li
- Department of Tobacco Control and Prevention of Respiratory Diseases, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
- Capital Medical University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Rui Qin
- Department of Tobacco Control and Prevention of Respiratory Diseases, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
- Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Xiaowen Wei
- Department of Tobacco Control and Prevention of Respiratory Diseases, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
- Capital Medical University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Yi Liu
- Department of Tobacco Control and Prevention of Respiratory Diseases, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
- Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Xin Xia
- Department of Tobacco Control and Prevention of Respiratory Diseases, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
- Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Qingqing Song
- Department of Tobacco Control and Prevention of Respiratory Diseases, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
- Capital Medical University China-Japan Friendship School of Clinical Medicine, Beijing, China
| | - Liang Zhao
- Department of Tobacco Control and Prevention of Respiratory Diseases, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
- Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Zhao Liu
- Department of Tobacco Control and Prevention of Respiratory Diseases, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
- Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Dan Xiao
- Department of Tobacco Control and Prevention of Respiratory Diseases, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China.
- WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China.
- National Clinical Research Center for Respiratory Diseases, Beijing, China.
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China.
- National Center for Respiratory Medicine, Beijing, China.
- Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
| | - Chen Wang
- Department of Tobacco Control and Prevention of Respiratory Diseases, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing, China
- WHO Collaborating Center for Tobacco Cessation and Respiratory Diseases Prevention, Beijing, China
- National Clinical Research Center for Respiratory Diseases, Beijing, China
- Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- National Center for Respiratory Medicine, Beijing, China
- Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
- School of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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8
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Smith P, Little F, Hermans S, Davies MA, Wood R, Orrell C, Pike C, Peters F, Dube A, Georgeu-Pepper D, Curran R, Fairall L, Bekker LG. A prospective randomised controlled trial investigating household SARS-CoV-2 transmission in a densely populated community in Cape Town, South Africa - the transmission of COVID-19 in crowded environments (TRACE) study. BMC Public Health 2024; 24:1924. [PMID: 39020307 PMCID: PMC11256445 DOI: 10.1186/s12889-024-19462-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 07/12/2024] [Indexed: 07/19/2024] Open
Abstract
BACKGROUND South Africa's first SARS-CoV-2 case was identified 5th March 2020 and national lockdown followed March 26th. Households are an important location for secondary SARS-CoV-2 infection. Physical distancing and sanitation - infection mitigation recommended by the World Health Organization (WHO) at the time - are difficult to implement in limited-resource settings because of overcrowded living conditions. METHODS This study (ClinicalTrials.gov NCT05119348) was conducted from August 2020 to September 2021 in two densely populated, low socioeconomic Cape Town community sub-districts. New COVID-19 index cases (ICs) identified at public clinics were randomised to an infection mitigation intervention (STOPCOV) delivered by lay community health workers (CHWs) or standard of care group. STOPCOV mitigation measures included one initial household assessment conducted by a CHW in which face masks, sanitiser, bleach and written information on managing and preventing spread were provided. This was followed by regular telephonic follow-up from CHWs. SARS-CoV-2 PCR and IgM/IgG serology was performed at baseline, weeks 1, 2, 3 and 4 of follow-up. RESULTS The study randomised 81 ICs with 245 HHCs. At baseline, no HHCs in the control and 7 (5%) in the intervention group had prevalent SARS-CoV-2. The secondary infection rate (SIR) based on SARS-CoV-2 PCR testing was 1.9% (n = 2) in control and 2.9% (n = 4) in intervention HHCs (p = 0.598). At baseline, SARS-CoV-2 antibodies were present in 15% (16/108) of control and 38% (52/137) of intervention participants. At study end incidence was 8.3% (9/108) and 8.03% (11/137) in the intervention and control groups respectively. Antibodies were present in 23% (25/108) of control HHCs over the course of the study vs. 46% (63/137) in the intervention arm. CHWs made twelve clinic and 47 food parcel referrals for individuals in intervention households in need. DISCUSSION Participants had significant exposure to SARS-CoV-2 infections prior to the study. In this setting, household transmission mitigation was ineffective. However, CHWs may have facilitated other important healthcare and social referrals.
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Affiliation(s)
- Philip Smith
- The Desmond Tutu HIV Centre, University of Cape Town, Cape Town, South Africa.
| | - Francesca Little
- Department of Statistical Sciences, University of Cape Town, Cape Town, South Africa
| | - Sabine Hermans
- Amsterdam UMC, Department of Global Health, University of Amsterdam, Amsterdam, The Netherlands
- Centre for Tropical Medicine and Travel Medicine, Department of Infectious Diseases, Amsterdam UMC, Amsterdam Institute for Immunology and Infectious Diseases, University of Amsterdam, Amsterdam Public Health - Global Health, Amsterdam, The Netherlands
| | - Mary-Ann Davies
- Center for Infectious Diseases Epidemiology and Research, University of Cape Town, Cape Town, South Africa
| | - Robin Wood
- The Desmond Tutu HIV Centre, University of Cape Town, Cape Town, South Africa
| | - Catherine Orrell
- The Desmond Tutu HIV Centre, University of Cape Town, Cape Town, South Africa
| | - Carey Pike
- The Desmond Tutu HIV Centre, University of Cape Town, Cape Town, South Africa
| | - Fatima Peters
- Western Cape Department of Health, Cape Town, South Africa
| | - Audry Dube
- Knowledge Translation Unit, University of Cape Town, Cape Town, South Africa
| | | | - Robyn Curran
- Knowledge Translation Unit, University of Cape Town, Cape Town, South Africa
| | - Lara Fairall
- Knowledge Translation Unit, University of Cape Town, Cape Town, South Africa
| | - Linda-Gail Bekker
- The Desmond Tutu HIV Centre, University of Cape Town, Cape Town, South Africa.
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9
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Wang QB, Wang YL, Wang YF, Chen H, Chen W, Chen YQ. Impact of non-emergency surgical timing on postoperative recovery quality in mild or asymptomatic SARS-CoV-2 infected patients: a grouped cohort study. BMC Anesthesiol 2024; 24:225. [PMID: 38971737 PMCID: PMC11227204 DOI: 10.1186/s12871-024-02600-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 06/24/2024] [Indexed: 07/08/2024] Open
Abstract
OBJECTIVE To explore the relationship between the timing of non-emergency surgery in mild or asymptomatic SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) infected individuals and the quality of postoperative recovery from the time of confirmed infection to the day of surgery. METHODS We retrospectively reviewed the medical records of 300 cases of mild or asymptomatic SARS-CoV-2 infected patients undergoing elective general anaesthesia surgery at Yijishan Hospital between January 9, 2023, and February 17, 2023. Based on the time from confirmed SARS-CoV-2 infection to the day of surgery, patients were divided into four groups: ≤2 weeks (Group A), 2-4 weeks (Group B), 4-6 weeks (Group C), and 6-8 weeks (Group D). The primary outcome measures included the Quality of Recovery-15 (QoR-15) scale scores at 3 days, 3 months, and 6 months postoperatively. Secondary outcome measures included postoperative mortality, ICU admission, pulmonary complications, postoperative length of hospital stay, extubation time, and time to leave the PACU. RESULTS Concerning the primary outcome measures, the QoR-15 scores at 3 days postoperatively in Group A were significantly lower compared to the other three groups (P < 0.05), while there were no statistically significant differences among the other three groups (P > 0.05). The QoR-15 scores at 3 and 6 months postoperatively showed no statistically significant differences among the four groups (P > 0.05). In terms of secondary outcome measures, Group A had a significantly prolonged hospital stay compared to the other three groups (P < 0.05), while other outcome measures showed no statistically significant differences (P > 0.05). CONCLUSION The timing of surgery in mild or asymptomatic SARS-CoV-2 infected patients does not affect long-term recovery quality but does impact short-term recovery quality, especially for elective general anaesthesia surgeries within 2 weeks of confirmed infection. Therefore, it is recommended to wait for a surgical timing of at least greater than 2 weeks to improve short-term recovery quality and enhance patient prognosis.
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Affiliation(s)
- Qiu-Bo Wang
- Department of Anaesthesiology, Yijishan Hospital, Wannan Medical College, Wuhu, 241000, China
| | - Yu-Long Wang
- Department of Anaesthesiology, Yijishan Hospital, Wannan Medical College, Wuhu, 241000, China.
| | - Yue-Feng Wang
- Department of Anaesthesiology, Yijishan Hospital, Wannan Medical College, Wuhu, 241000, China
| | - Hua Chen
- Department of Anaesthesiology, Bozhou Traditional Chinese Medicine Hospital, Bozhou, 236800, China
| | - Wei Chen
- Department of Anaesthesiology, Yijishan Hospital, Wannan Medical College, Wuhu, 241000, China
| | - Yong-Quan Chen
- Department of Anaesthesiology, Yijishan Hospital, Wannan Medical College, Wuhu, 241000, China.
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10
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Han HJ, Kim SW, Kim H, So J, Lee EJ, Lim YM, Lee JH, Lee MA, Kim BJ, Baek SH, Lee HS, Sohn E, Kim S, Park JS, Kang M, Park HJ, Yoon BA, Kim JK, Seok HY, Kim S, Min JH, Chung YH, Cho JH, Kim JE, Oh SI, Shin HY. Impact of COVID-19 Infection and Its Association With Previous Vaccination in Patients With Myasthenia Gravis in Korea: A Multicenter Retrospective Study. J Korean Med Sci 2024; 39:e150. [PMID: 38742290 PMCID: PMC11091230 DOI: 10.3346/jkms.2024.39.e150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 04/10/2024] [Indexed: 05/16/2024] Open
Abstract
BACKGROUND During the coronavirus disease 2019 (COVID-19) pandemic, patients with myasthenia gravis (MG) were more susceptible to poor outcomes owing to respiratory muscle weakness and immunotherapy. Several studies conducted in the early stages of the COVID-19 pandemic reported higher mortality in patients with MG compared to the general population. This study aimed to investigate the clinical course and prognosis of COVID-19 in patients with MG and to compare these parameters between vaccinated and unvaccinated patients in South Korea. METHODS This multicenter, retrospective study, which was conducted at 14 tertiary hospitals in South Korea, reviewed the medical records and identified MG patients who contracted COVID-19 between February 2022 and April 2022. The demographic and clinical characteristics associated with MG and vaccination status were collected. The clinical outcomes of COVID-19 infection and MG were investigated and compared between the vaccinated and unvaccinated patients. RESULTS Ninety-two patients with MG contracted COVID-19 during the study. Nine (9.8%) patients required hospitalization, 4 (4.3%) of whom were admitted to the intensive care unit. Seventy-five of 92 patients were vaccinated before contracting COVID-19 infection, and 17 were not. During the COVID-19 infection, 6 of 17 (35.3%) unvaccinated patients were hospitalized, whereas 3 of 75 (4.0%) vaccinated patients were hospitalized (P < 0.001). The frequencies of ICU admission and mechanical ventilation were significantly lower in the vaccinated patients than in the unvaccinated patients (P = 0.019 and P = 0.032, respectively). The rate of MG deterioration was significantly lower in the vaccinated patients than in the unvaccinated patients (P = 0.041). Logistic regression after weighting revealed that the risk of hospitalization and MG deterioration after COVID-19 infection was significantly lower in the vaccinated patients than in the unvaccinated patients. CONCLUSION This study suggests that the clinical course and prognosis of patients with MG who contracted COVID-19 during the dominance of the omicron variant of COVID-19 may be milder than those at the early phase of the COVID-19 pandemic when vaccination was unavailable. Vaccination may reduce the morbidity of COVID-19 in patients with MG and effectively prevent MG deterioration induced by COVID-19 infection.
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Affiliation(s)
- Hee Jo Han
- Department of Neurology, Yonsei University College of Medicine, Seoul, Korea
| | - Seung Woo Kim
- Department of Neurology, Yonsei University College of Medicine, Seoul, Korea
| | - Hyunjin Kim
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Jungmin So
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Eun-Jae Lee
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Young-Min Lim
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Jung Hwan Lee
- Department of Neurology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Myung Ah Lee
- Department of Neurology, Uijeongbu St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Byung-Jo Kim
- Department of Neurology, Korea University Anam Hospital, Seoul, Korea
| | - Seol-Hee Baek
- Department of Neurology, Korea University Anam Hospital, Seoul, Korea
| | - Hyung-Soo Lee
- Department of Neurology, National Medical Center, Seoul, Korea
| | - Eunhee Sohn
- Department of Neurology, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea
| | - Sooyoung Kim
- Department of Neurology, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea
| | - Jin-Sung Park
- Department of Neurology, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University, Daegu, Korea
| | - Minsung Kang
- Department of Neurology, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University, Daegu, Korea
| | - Hyung Jun Park
- Department of Neurology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Byeol-A Yoon
- Department of Neurology, Dong-A University College of Medicine, Busan, Korea
| | - Jong Kuk Kim
- Department of Neurology, Dong-A University College of Medicine, Busan, Korea
| | - Hung Youl Seok
- Department of Neurology, Keimyung University Dongsan Hospital, Keimyung University School of Medicine, Daegu, Korea
| | - Sohyeon Kim
- Department of Neurology, Keimyung University Dongsan Hospital, Keimyung University School of Medicine, Daegu, Korea
| | - Ju-Hong Min
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Yeon Hak Chung
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jeong Hee Cho
- Department of Neurology, National Health Insurance Service Ilsan Hospital, Goyang, Korea
| | - Jee-Eun Kim
- Department of Neurology, Ewha Womans University Seoul Hospital, Ewha Womans University College of Medicine, Seoul, Korea
| | - Seong-Il Oh
- Department of Neurology, Kyung Hee University Hospital, Kyung Hee University College of Medicine, Seoul, Korea
| | - Ha Young Shin
- Department of Neurology, Yonsei University College of Medicine, Seoul, Korea.
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11
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Ny Mioramalala DJ, Ratovoson R, Tagnouokam-Ngoupo PA, Abessolo Abessolo H, Mindimi Nkodo JM, Bouting Mayaka G, Tsoungui Atangana PC, Randrianarisaona F, Pélembi P, Nzoumbou-Boko R, Coti-Reckoundji CSG, Manirakiza A, Rahantamalala A, Randremanana RV, Tejiokem MC, Schoenhals M. SARS-CoV-2 Neutralizing Antibodies in Three African Countries Following Multiple Distinct Immune Challenges. Vaccines (Basel) 2024; 12:363. [PMID: 38675745 PMCID: PMC11054809 DOI: 10.3390/vaccines12040363] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Revised: 03/16/2024] [Accepted: 03/20/2024] [Indexed: 04/28/2024] Open
Abstract
BACKGROUND The COVID-19 pandemic has affected Madagascar, Cameroon, and the Central African Republic (CAR), with each experiencing multiple waves by mid-2022. This study aimed to evaluate immunity against SARS-CoV-2 strains Wuhan (W) and BA.2 (BA.2) among healthcare workers (HCWs) in these countries, focusing on vaccination and natural infection effects. METHODS HCWs' serum samples were analyzed for neutralizing antibodies (nAbs) against W and BA.2 variants, with statistical analyses comparing responses between countries and vaccination statuses. RESULTS Madagascar showed significantly higher nAb titers against both strains compared to CAR and Cameroon. Vaccination notably increased nAb levels against W by 2.6-fold in CAR and 1.8-fold in Madagascar, and against BA.2 by 1.6-fold in Madagascar and 1.5-fold in CAR. However, in Cameroon, there was no significant difference in nAb levels between vaccinated and unvaccinated groups. CONCLUSION This study highlights the complex relationship between natural and vaccine-induced immunity, emphasizing the importance of assessing immunity in regions with varied epidemic experiences and low vaccination rates.
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Affiliation(s)
- Diary Juliannie Ny Mioramalala
- Institut Pasteur of Madagascar, Immunology of Infectious Diseases, Antananarivo 101, Madagascar; (D.J.N.M.); (F.R.); (A.R.)
| | - Rila Ratovoson
- Institut Pasteur of Madagascar, Epidemiology and Clinical Research, Antananarivo 101, Madagascar; (R.R.); (R.V.R.)
| | - Paul Alain Tagnouokam-Ngoupo
- Centre Pasteur du Cameroon, Epidemiology and Public Health, Yaoundé P.O. Box 1274, Cameroon; (P.A.T.-N.); (M.C.T.)
| | | | | | | | | | - Fanirisoa Randrianarisaona
- Institut Pasteur of Madagascar, Immunology of Infectious Diseases, Antananarivo 101, Madagascar; (D.J.N.M.); (F.R.); (A.R.)
| | - Pulchérie Pélembi
- Institut Pasteur of Bangui, Epidemiology, Bangui P.O. Box 923, Central African Republic; (P.P.); (R.N.-B.); (C.S.G.C.-R.); (A.M.)
| | - Romaric Nzoumbou-Boko
- Institut Pasteur of Bangui, Epidemiology, Bangui P.O. Box 923, Central African Republic; (P.P.); (R.N.-B.); (C.S.G.C.-R.); (A.M.)
| | | | - Alexandre Manirakiza
- Institut Pasteur of Bangui, Epidemiology, Bangui P.O. Box 923, Central African Republic; (P.P.); (R.N.-B.); (C.S.G.C.-R.); (A.M.)
| | - Anjanirina Rahantamalala
- Institut Pasteur of Madagascar, Immunology of Infectious Diseases, Antananarivo 101, Madagascar; (D.J.N.M.); (F.R.); (A.R.)
| | - Rindra Vatosoa Randremanana
- Institut Pasteur of Madagascar, Epidemiology and Clinical Research, Antananarivo 101, Madagascar; (R.R.); (R.V.R.)
| | - Mathurin Cyrille Tejiokem
- Centre Pasteur du Cameroon, Epidemiology and Public Health, Yaoundé P.O. Box 1274, Cameroon; (P.A.T.-N.); (M.C.T.)
| | - Matthieu Schoenhals
- Institut Pasteur of Madagascar, Immunology of Infectious Diseases, Antananarivo 101, Madagascar; (D.J.N.M.); (F.R.); (A.R.)
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12
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Sočan M, Mrzel M, Prosenc K, Korva M, Avšič-Županc T, Poljak M, Lunar MM, Zupanič T. Comparing COVID-19 severity in patients hospitalized for community-associated Delta, BA.1 and BA.4/5 variant infection. Front Public Health 2024; 12:1294261. [PMID: 38450129 PMCID: PMC10915065 DOI: 10.3389/fpubh.2024.1294261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 02/05/2024] [Indexed: 03/08/2024] Open
Abstract
Background Despite decreasing COVID-19 disease severity during the Omicron waves, a proportion of patients still require hospitalization and intensive care. Objective To compare demographic characteristics, comorbidities, vaccination status, and previous infections in patients hospitalized for community-associated COVID-19 (CAC) in predominantly Delta, Omicron BA.1 and BA.4/5 SARS-CoV-2 waves. Methods Data were extracted from three national databases-the National COVID-19 Database, National Vaccination Registry and National Registry of Hospitalizations. Results Among the hospitalized CAC patients analyzed in this study, 5,512 were infected with Delta, 1,120 with Omicron BA.1, and 1,143 with the Omicron BA.4/5 variant. The age and sex structure changed from Delta to BA.4/5, with the proportion of women (9.5% increase), children and adolescents (10.4% increase), and octa- and nonagenarians increasing significantly (24.5% increase). Significantly more patients had comorbidities (measured by the Charlson Comorbidity Index), 30.3% in Delta and 43% in BA.4/5 period. The need for non-invasive ventilatory support (NiVS), ICU admission, mechanical ventilation (MV), and in-hospital mortality (IHM) decreased from Delta to Omicron BA.4/5 period for 12.6, 13.5, 11.5, and 6.3%, respectively. Multivariate analysis revealed significantly lower odds for ICU admission (OR 0.68, CI 0.54-0.84, p < 0.001) and IHM (OR 0.74, CI 0.58-0.93, p = 0.011) during the Delta period in patients who had been fully vaccinated or boosted with a COVID-19 vaccine within the previous 6 months. In the BA.1 variant period, patients who had less than 6 months elapsed between the last vaccine dose and SARS-CoV-2 positivity had lower odds for MV (OR 0.38, CI 0.18-0.72, p = 0.005) and IHM (OR 0.56, CI 0.37- 0.83, p = 0.005), but not for NIVS or ICU admission. Conclusion The likelihood of developing severe CAC in hospitalized patients was higher in those with the Delta and Omicron BA.1 variant compared to BA.4/5.
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Affiliation(s)
- Maja Sočan
- National Institute of Public Health, Ljubljana, Slovenia
| | - Maja Mrzel
- National Institute of Public Health, Ljubljana, Slovenia
| | - Katarina Prosenc
- National Institute of Health, Environment and Food, Ljubljana, Slovenia
| | - Miša Korva
- Institute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Tatjana Avšič-Županc
- Institute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Mario Poljak
- Institute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Maja M. Lunar
- Institute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Tina Zupanič
- National Institute of Public Health, Ljubljana, Slovenia
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Ingelman-Sundberg HM, Blixt L, Wullimann D, Wu J, Gao Y, Healy K, Muschiol S, Bogdanovic G, Åberg M, Kjellander C, Grifoni A, Sette A, Aleman S, Chen P, Blennow O, Hansson L, Ljunggren HG, Chen MS, Buggert M, Österborg A. Systemic and mucosal adaptive immunity to SARS-CoV-2 during the Omicron wave in patients with chronic lymphocytic leukemia. Haematologica 2024; 109:646-651. [PMID: 37646668 PMCID: PMC10828773 DOI: 10.3324/haematol.2023.282894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 08/24/2023] [Indexed: 09/01/2023] Open
Affiliation(s)
- Hanna M Ingelman-Sundberg
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden; Department of Oncology, Karolinska University Hospital Solna, Stockholm.
| | - Lisa Blixt
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden; Department of Haematology, Karolinska University Hospital Solna, Stockholm
| | - David Wullimann
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Stockholm
| | - Jinghua Wu
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Stockholm
| | - Yu Gao
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Stockholm
| | - Katie Healy
- Department of Dental Medicine, Karolinska Institutet, Huddinge
| | - Sandra Muschiol
- Department of Clinical Microbiology, Karolinska University Hospital, Stockholm, Sweden; Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm
| | - Gordana Bogdanovic
- Department of Clinical Microbiology, Karolinska University Hospital, Stockholm, Sweden; Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm
| | - Mikael Åberg
- Department of Medical Sciences, Clinical Chemistry and Science for Life Laboratory, Uppsala University, Uppsala
| | | | - Alba Grifoni
- Department of Laboratory Medicine, Karolinska Institutet, Stockholm
| | - Alessandro Sette
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology, La Jolla, CA, USA; Department of Medicine, Division of Infectious Diseases and Global Public Health, University of California, San Diego (UCSD), La Jolla, CA 92037
| | - Soo Aleman
- Department of Medicine Huddinge, Infectious Diseases, Karolinska Institutet, Stockholm, Sweden; Department of Infectious Diseases, Karolinska University Hospital, Stockholm
| | - Puran Chen
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Stockholm
| | - Ola Blennow
- Dept of Infectious Diseases, Dept of Transplantation, Karolinska University Hospital and Dept of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm
| | - Lotta Hansson
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden; Department of Haematology, Karolinska University Hospital Solna, Stockholm
| | - Hans-Gustaf Ljunggren
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Stockholm
| | | | - Marcus Buggert
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Stockholm
| | - Anders Österborg
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden; Department of Haematology, Karolinska University Hospital Solna, Stockholm
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14
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Kassanjee R, Davies MA, Heekes A, Mahomed H, Hawkridge AJ, Wolmarans M, Morden E, Jacobs T, Cohen C, Moultrie H, Lessells RJ, Van Der Walt N, Arendse JO, Goeiman H, Mudaly V, Wolter N, Walaza S, Jassat W, von Gottberg A, Hannan PL, Rousseau P, Feikin D, Cloete K, Boulle A. COVID-19 vaccine uptake and effectiveness by time since vaccination in the Western Cape province, South Africa: An observational cohort study during 2020-2022. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.01.24.24301721. [PMID: 38343866 PMCID: PMC10854330 DOI: 10.1101/2024.01.24.24301721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/18/2024]
Abstract
Background There are few data on the real-world effectiveness of COVID-19 vaccines and boosting in Africa, which experienced high levels of SARS-CoV-2 infection in a mostly vaccine-naïve population, and has limited vaccine coverage and competing health service priorities. We assessed the association between vaccination and severe COVID-19 in the Western Cape, South Africa. Methods We performed an observational cohort study of >2 million adults during 2020-2022. We described SARS-CoV-2 testing, COVID-19 outcomes, and vaccine uptake over time. We used multivariable cox models to estimate the association of BNT162b2 and Ad26.COV2.S vaccination with COVID-19-related hospitalisation and death, adjusting for demographic characteristics, underlying health conditions, socioeconomic status proxies and healthcare utilisation. Results By end 2022, only 41% of surviving adults had completed vaccination and 8% a booster dose, despite several waves of severe COVID-19. Recent vaccination was associated with notable reductions in severe COVID-19 during distinct analysis periods dominated by Delta, Omicron BA.1/2 and BA.4/5 (sub)lineages: within 6 months of completing vaccination or boosting, vaccine effectiveness was 46-92% for death (range across periods), 45-92% for admission with severe disease or death, and 25-90% for any admission or death. During the Omicron BA.4/5 wave, within 3 months of vaccination or boosting, BNT162b2 and Ad26.COV2.S were each 84% effective against death (95% CIs: 57-94 and 49-95, respectively). However, there were distinct reductions of VE at larger times post completing or boosting vaccination. Conclusions Continued emphasis on regular COVID-19 vaccination including boosting is important for those at high risk of severe COVID-19 even in settings with widespread infection-induced immunity.
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Affiliation(s)
- Reshma Kassanjee
- Centre for Infectious Disease Epidemiology and Research, School of Public Health, University of Cape Town, South Africa
| | - Mary-Ann Davies
- Centre for Infectious Disease Epidemiology and Research, School of Public Health, University of Cape Town, South Africa
- Division of Public Health Medicine, School of Public Health, University of Cape Town, South Africa
- Centre for Infectious Diseases Research in Africa, University of Cape Town, South Africa
- Health Intelligence, Western Cape Government Department of Health and Wellness, South Africa
| | - Alexa Heekes
- Centre for Infectious Disease Epidemiology and Research, School of Public Health, University of Cape Town, South Africa
- Health Intelligence, Western Cape Government Department of Health and Wellness, South Africa
| | - Hassan Mahomed
- Division of Health Systems and Public Health, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, South Africa
- Metro Health Services, Western Cape Government Department of Health and Wellness, South Africa
| | - Anthony J Hawkridge
- Rural Health Services, Western Cape Government Department of Health and Wellness, South Africa
| | | | - Erna Morden
- Health Intelligence, Western Cape Government Department of Health and Wellness, South Africa
- School of Public Health, University of Cape Town, South Africa
| | - Theuns Jacobs
- Health Intelligence, Western Cape Government Department of Health and Wellness, South Africa
| | - Cheryl Cohen
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, South Africa
- School of Public Health, University of the Witwatersrand, South Africa
| | - Harry Moultrie
- Centre for Tuberculosis, National Institute for Communicable Diseases of the National Health Laboratory Service, South Africa
| | - Richard J Lessells
- KwaZulu-Natal Research Innovation & Sequencing Platform, University of KwaZulu-Natal, South Africa
| | - Nicolette Van Der Walt
- Emergency & Clinical Services Support, Western Cape Government Department of Health and Wellness, South Africa
| | - Juanita O Arendse
- Division of Health Systems and Public Health, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, South Africa
- Emergency & Clinical Services Support, Western Cape Government Department of Health and Wellness, South Africa
| | - Hilary Goeiman
- Western Cape Government Department of Health and Wellness, South Africa
| | - Vanessa Mudaly
- Division of Public Health Medicine, School of Public Health, University of Cape Town, South Africa
- Western Cape Government Department of Health and Wellness, South Africa
| | - Nicole Wolter
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, South Africa
- School of Pathology, University of the Witwatersrand, South Africa
| | - Sibongile Walaza
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, South Africa
- School of Public Health, University of the Witwatersrand, South Africa
| | - Waasila Jassat
- Health Practice, Genesis Analytics, South Africa
- Division of Public Health Surveillance and Response, National Institute for Communicable Diseases of the National Health Laboratory Service, South Africa
| | - Anne von Gottberg
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, South Africa
- School of Pathology, University of the Witwatersrand, South Africa
| | - Patrick L Hannan
- Division of Epidemiology and Biostatistics, School of Public Health, University of Cape Town, South Africa
| | - Petro Rousseau
- South African National Department of Health, South Africa
| | - Daniel Feikin
- Department of Immunizations, Vaccines, and Biologicals, World Health Organization, Switzerland
| | - Keith Cloete
- Western Cape Government Department of Health and Wellness, South Africa
| | - Andrew Boulle
- Centre for Infectious Disease Epidemiology and Research, School of Public Health, University of Cape Town, South Africa
- Division of Public Health Medicine, School of Public Health, University of Cape Town, South Africa
- Centre for Infectious Diseases Research in Africa, University of Cape Town, South Africa
- Health Intelligence, Western Cape Government Department of Health and Wellness, South Africa
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15
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Paul P, El-Naas A, Hamad O, Salameh MA, Mhaimeed N, Laswi I, Abdelati AA, AlAnni J, Khanjar B, Al-Ali D, Pillai KV, Elshafeey A, Alroobi H, Burney Z, Mhaimeed O, Bhatti M, Sinha P, Almasri M, Aly A, Bshesh K, Chamseddine R, Khalil O, D'Souza A, Shree T, Mhaimeed N, Yagan L, Zakaria D. Effectiveness of the pre-Omicron COVID-19 vaccines against Omicron in reducing infection, hospitalization, severity, and mortality compared to Delta and other variants: A systematic review. Hum Vaccin Immunother 2023; 19:2167410. [PMID: 36915960 PMCID: PMC10054360 DOI: 10.1080/21645515.2023.2167410] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023] Open
Abstract
Despite widespread mass rollout programs, the rapid spread of the SARS-CoV-2 Omicron variant called into question the effectiveness of the existing vaccines against infection, hospitalization, severity, and mortality compared to previous variants. This systematic review summarizes and compares the effectiveness of the COVID-19 vaccines, with respect to the above outcomes in adults, children, and adolescents. A comprehensive literature search was undertaken on several databases. Only 51 studies met our inclusion criteria, revealing that the protection from primary vaccination against Omicron infection is inferior to protection against Delta and Alpha infections and wanes faster over time. However, mRNA vaccine boosters were reported to reestablish effectiveness, although to a lower extent against Omicron. Nonetheless, primary vaccination was shown to preserve strong protection against Omicron-associated hospitalization, severity, and death, even months after last dose. However, boosters provide more robust and longer-lasting protection against hospitalizations due to Omicron as compared to only primary series.
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Affiliation(s)
- Pradipta Paul
- Weill Cornell Medicine-Qatar, Cornell University, Education City, Qatar Foundation, Doha, Qatar
| | - Ahmed El-Naas
- Weill Cornell Medicine-Qatar, Cornell University, Education City, Qatar Foundation, Doha, Qatar
| | - Omar Hamad
- Weill Cornell Medicine-Qatar, Cornell University, Education City, Qatar Foundation, Doha, Qatar
| | - Mohammad A Salameh
- Weill Cornell Medicine-Qatar, Cornell University, Education City, Qatar Foundation, Doha, Qatar
- Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN, USA
| | - Nada Mhaimeed
- Weill Cornell Medicine-Qatar, Cornell University, Education City, Qatar Foundation, Doha, Qatar
| | - Ibrahim Laswi
- Weill Cornell Medicine-Qatar, Cornell University, Education City, Qatar Foundation, Doha, Qatar
| | - Ali A Abdelati
- Weill Cornell Medicine-Qatar, Cornell University, Education City, Qatar Foundation, Doha, Qatar
| | - Jamal AlAnni
- Weill Cornell Medicine-Qatar, Cornell University, Education City, Qatar Foundation, Doha, Qatar
- Department of Pediatrics, Cincinnati Children's Hospital Medical Center (CCHMC), Cincinnati, OH, USA
| | - Bushra Khanjar
- Weill Cornell Medicine-Qatar, Cornell University, Education City, Qatar Foundation, Doha, Qatar
- Department of Dermatology, Hamad Medical Corporation, Doha, Qatar
| | - Dana Al-Ali
- Weill Cornell Medicine-Qatar, Cornell University, Education City, Qatar Foundation, Doha, Qatar
- Department of Pediatrics, Hamad Medical Corporation, Doha, Qatar
| | - Krishnadev V Pillai
- Weill Cornell Medicine-Qatar, Cornell University, Education City, Qatar Foundation, Doha, Qatar
| | - Abdallah Elshafeey
- Weill Cornell Medicine-Qatar, Cornell University, Education City, Qatar Foundation, Doha, Qatar
- Department of Medicine, The Johns Hopkins Hospital, Baltimore, MD, USA
| | - Hasan Alroobi
- Weill Cornell Medicine-Qatar, Cornell University, Education City, Qatar Foundation, Doha, Qatar
| | - Zain Burney
- Weill Cornell Medicine-Qatar, Cornell University, Education City, Qatar Foundation, Doha, Qatar
- Medicine Institiution, Cleveland Clinic, Cleveland, OH, USA
| | - Omar Mhaimeed
- Weill Cornell Medicine-Qatar, Cornell University, Education City, Qatar Foundation, Doha, Qatar
- Department of Medicine, The Johns Hopkins Hospital, Baltimore, MD, USA
| | - Mohammad Bhatti
- Weill Cornell Medicine-Qatar, Cornell University, Education City, Qatar Foundation, Doha, Qatar
| | - Pratyaksha Sinha
- Weill Cornell Medicine-Qatar, Cornell University, Education City, Qatar Foundation, Doha, Qatar
| | - Muna Almasri
- Weill Cornell Medicine-Qatar, Cornell University, Education City, Qatar Foundation, Doha, Qatar
| | - Ahmed Aly
- Weill Cornell Medicine-Qatar, Cornell University, Education City, Qatar Foundation, Doha, Qatar
| | - Khalifa Bshesh
- Weill Cornell Medicine-Qatar, Cornell University, Education City, Qatar Foundation, Doha, Qatar
| | - Reem Chamseddine
- Weill Cornell Medicine-Qatar, Cornell University, Education City, Qatar Foundation, Doha, Qatar
| | - Omar Khalil
- Weill Cornell Medicine-Qatar, Cornell University, Education City, Qatar Foundation, Doha, Qatar
| | - Ashton D'Souza
- Weill Cornell Medicine-Qatar, Cornell University, Education City, Qatar Foundation, Doha, Qatar
| | - Thanu Shree
- Weill Cornell Medicine-Qatar, Cornell University, Education City, Qatar Foundation, Doha, Qatar
- Hamad Medical Corporation, Doha, Qatar h
| | - Narjis Mhaimeed
- Weill Cornell Medicine-Qatar, Cornell University, Education City, Qatar Foundation, Doha, Qatar
| | - Lina Yagan
- Weill Cornell Medicine-Qatar, Cornell University, Education City, Qatar Foundation, Doha, Qatar
- Department of Medicine, University of Pennsylvania Hospital, Philadelphia, PA, USA
| | - Dalia Zakaria
- Weill Cornell Medicine-Qatar, Cornell University, Education City, Qatar Foundation, Doha, Qatar
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16
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Wei D, Xie Y, Liu X, Chen R, Zhou M, Zhang X, Qu J. Pathogen evolution, prevention/control strategy and clinical features of COVID-19: experiences from China. Front Med 2023; 17:1030-1046. [PMID: 38157194 DOI: 10.1007/s11684-023-1043-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 10/23/2023] [Indexed: 01/03/2024]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was reported at the end of 2019 as a worldwide health concern causing a pandemic of unusual viral pneumonia and many other organ damages, which was defined by the World Health Organization as coronavirus disease 2019 (COVID-19). The pandemic is considered a significant threat to global public health till now. In this review, we have summarized the lessons learnt during the emergence and spread of SARS-CoV-2, including its prototype and variants. The overall clinical features of variants of concern (VOC), heterogeneity in the clinical manifestations, radiology and pathology of COVID-19 patients are also discussed, along with advances in therapeutic agents.
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Affiliation(s)
- Dong Wei
- Department of Infectious Diseases, Research Laboratory of Clinical Virology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yusang Xie
- Department of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Shanghai, 200025, China
| | - Xuefei Liu
- Department of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Shanghai, 200025, China
| | - Rong Chen
- Department of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Shanghai, 200025, China
| | - Min Zhou
- Department of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Shanghai, 200025, China
| | - Xinxin Zhang
- Department of Infectious Diseases, Research Laboratory of Clinical Virology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Jieming Qu
- Department of Pulmonary and Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- Institute of Respiratory Diseases, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- Shanghai Key Laboratory of Emergency Prevention, Diagnosis and Treatment of Respiratory Infectious Diseases, Shanghai, 200025, China.
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17
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Radhakrishnan N, Liu M, Idowu B, Bansari A, Rathi K, Magar S, Mundhra L, Sarmiento J, Ghaffar U, Kattan J, Jones R, George J, Yang Y, Southwick F. Comparison of the clinical characteristics of SARS-CoV-2 Delta (B.1.617.2) and Omicron (B.1.1.529) infected patients from a single hospitalist service. BMC Infect Dis 2023; 23:747. [PMID: 37907849 PMCID: PMC10617227 DOI: 10.1186/s12879-023-08714-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 10/16/2023] [Indexed: 11/02/2023] Open
Abstract
BACKGROUND While existing evidence suggests less severe clinical manifestations and lower mortality are associated with the Omicron variant as compared to the Delta variant. However, these studies fail to control for differences in health systems facilities and providers. By comparing patients hospitalized on a single medical service during the Delta and Omicron surges we were able to conduct a more accurate comparison of the two varaints' clinical manifestations and outcomes. METHODS We conducted a prospective study of 364 Omicron (BA.1) infected patients on a single hospitalist service and compared these findings to a retrospective analysis of 241 Delta variant infected patients managed on the same service. We examined differences in symptoms, laboratory measures, and clinical severity between the two variants and assessed potential risk drivers for case mortality. FINDINGS Patients infected with Omicron were older and had more underlying medical conditions increasing their risk of death. Although they were less severely ill and required less supplemental oxygen and dexamethasone, in-hospital mortality was similar to Delta cases, 7.14% vs. 4.98% for Delta (q-value = 0.38). Patients older than 60 years or with immunocompromised conditions had much higher risk of death during hospitalization, with estimated odds ratios of 17.46 (95% CI: 5.05, 110.51) and 2.80 (1.03, 7.08) respectively. Neither vaccine history nor variant type played a significant role in case fatality. The Rothman score, NEWS-2 score, level of neutrophils, level of care, age, and creatinine level at admission were highly predictive of in-hospital death. INTERPRETATION In hospitalized patients, the Omicron variant is less virulent than the Delta variant but is associated with a comparable mortality. Clinical and laboratory features at admission are informative about the risk of death.
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Affiliation(s)
- N Radhakrishnan
- Division of Hospital Medicine, Department of Medicine, University of Florida College of Medicine, 6362 NW 41st Ave, Gainesville, FL, 32606, USA
| | - M Liu
- Department of Biostatistics, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA
| | - B Idowu
- Division of Hospital Medicine, Department of Medicine, University of Florida College of Medicine, 6362 NW 41st Ave, Gainesville, FL, 32606, USA
| | - A Bansari
- Division of Hospital Medicine, Department of Medicine, University of Florida College of Medicine, 6362 NW 41st Ave, Gainesville, FL, 32606, USA
| | - K Rathi
- Division of Hospital Medicine, Department of Medicine, University of Florida College of Medicine, 6362 NW 41st Ave, Gainesville, FL, 32606, USA
| | - S Magar
- Division of Hospital Medicine, Department of Medicine, University of Florida College of Medicine, 6362 NW 41st Ave, Gainesville, FL, 32606, USA
| | - L Mundhra
- Division of Hospital Medicine, Department of Medicine, University of Florida College of Medicine, 6362 NW 41st Ave, Gainesville, FL, 32606, USA
| | - J Sarmiento
- Division of Hospital Medicine, Department of Medicine, University of Florida College of Medicine, 6362 NW 41st Ave, Gainesville, FL, 32606, USA
| | - U Ghaffar
- Division of Hospital Medicine, Department of Medicine, University of Florida College of Medicine, 6362 NW 41st Ave, Gainesville, FL, 32606, USA
| | - J Kattan
- Division of Hospital Medicine, Department of Medicine, University of Florida College of Medicine, 6362 NW 41st Ave, Gainesville, FL, 32606, USA
| | - R Jones
- Division of Hospital Medicine, Department of Medicine, University of Florida College of Medicine, 6362 NW 41st Ave, Gainesville, FL, 32606, USA
| | - J George
- Division of Hospital Medicine, Department of Medicine, University of Florida College of Medicine, 6362 NW 41st Ave, Gainesville, FL, 32606, USA
| | - Y Yang
- Department of Statistics, Franklin College of Arts and Sciences, University of Georgia, 310 Herty Drive, Athens, GA, 30602, Greece.
| | - F Southwick
- Division of Hospital Medicine, Department of Medicine, University of Florida College of Medicine, 6362 NW 41st Ave, Gainesville, FL, 32606, USA.
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18
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Ndiaye AJS, Beye M, Sow A, Lo G, Padane A, Sokhna C, Kane CT, Colson P, Fenollar F, Mboup S, Fournier PE. COVID-19 in 16 West African Countries: An Assessment of the Epidemiology and Genetic Diversity of SARS-CoV-2 after Four Epidemic Waves. Am J Trop Med Hyg 2023; 109:861-873. [PMID: 37640294 PMCID: PMC10551082 DOI: 10.4269/ajtmh.22-0469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 07/18/2023] [Indexed: 08/31/2023] Open
Abstract
West Africa faced the COVID-19 pandemic in early March 2020 and, as of March 31, 2022, had more than 900,000 confirmed cases and more than 12,000 deaths. During this period, SARS-CoV-2 genomes evolved genetically, resulting in the emergence of distinct lineages. This review was conducted to provide the epidemiological profile of COVID-19, the mutational profile of SARS-CoV-2, and the dynamics of its lineages in the 16 west African countries by analyzing data from 33 studies and seven situation reports. For a more complete representation of the epidemiology and genetic diversity of SARS-CoV-2, we used reliable public data in addition to eligible studies. As of March 31, 2022, the 16 west African countries experienced four epidemic waves with variable intensities. Higher mortality was noted during the third wave with a case fatality rate (CFR) of 1.9%. After these four epidemic waves, Liberia recorded the highest CFR (4.0%), whereas Benin had the lowest CFR (0.6%). Through mutational analysis, a high genetic heterogeneity of the genomes was observed, with a predominance of mutations in the spike protein. From this high mutational rate, different lineages emerged. Our analysis of the evolutionary diversity allowed us to count 205 lineages circulating in west Africa. This study has provided a good representation of the mutational profile and the prevalence of SARS CoV-2 lineages beyond the knowledge of the global epidemiology of the 16 African countries.
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Affiliation(s)
- Anna Julienne Selbé Ndiaye
- Institut de Recherche en Santé, de Surveillance Epidémiologique et de Formation, Dakar, Senegal
- Institut Hospitalo-Universitaire-Méditerranée Infection, Marseille, France
| | - Mamadou Beye
- Institut Hospitalo-Universitaire-Méditerranée Infection, Marseille, France
| | - Aissatou Sow
- Institut de Recherche en Santé, de Surveillance Epidémiologique et de Formation, Dakar, Senegal
| | - Gora Lo
- Institut de Recherche en Santé, de Surveillance Epidémiologique et de Formation, Dakar, Senegal
| | - Abdou Padane
- Institut de Recherche en Santé, de Surveillance Epidémiologique et de Formation, Dakar, Senegal
- Institut Hospitalo-Universitaire-Méditerranée Infection, Marseille, France
| | - Cheikh Sokhna
- Institut Hospitalo-Universitaire-Méditerranée Infection, Marseille, France
- Vecteurs - Infections Tropicales et Méditerranéennes, Campus International Institut de Recherche pour le Développement-Université Cheikh Anta Diop de l’IRD, Dakar, Senegal
- IRD, Assistance Publique - Hôpitaux de Marseille, Service de Santé des Armées, VITROME, Aix Marseille University, Marseille, France
| | - Coumba Touré Kane
- Institut de Recherche en Santé, de Surveillance Epidémiologique et de Formation, Dakar, Senegal
| | - Philippe Colson
- Institut Hospitalo-Universitaire-Méditerranée Infection, Marseille, France
- IRD, AP-HM, Microbes Evolution Phylogeny and Infections, Aix Marseille University, Marseille, France
| | - Florence Fenollar
- Institut Hospitalo-Universitaire-Méditerranée Infection, Marseille, France
- IRD, Assistance Publique - Hôpitaux de Marseille, Service de Santé des Armées, VITROME, Aix Marseille University, Marseille, France
| | - Souleymane Mboup
- Institut de Recherche en Santé, de Surveillance Epidémiologique et de Formation, Dakar, Senegal
| | - Pierre-Edouard Fournier
- Institut Hospitalo-Universitaire-Méditerranée Infection, Marseille, France
- IRD, Assistance Publique - Hôpitaux de Marseille, Service de Santé des Armées, VITROME, Aix Marseille University, Marseille, France
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19
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Amele S, Kibuchi E, McCabe R, Pearce A, Henery P, Hainey K, Fagbamigbe AF, Kurdi A, McCowan C, Simpson CR, Dibben C, Buchanan D, Demou E, Almaghrabi F, Anghelescu G, Taylor H, Tibble H, Rudan I, Nazroo J, Bécares L, Daines L, Irizar P, Jayacodi S, Pattaro S, Sheikh A, Katikireddi SV. Ethnic inequalities in positive SARS-CoV-2 tests, infection prognosis, COVID-19 hospitalisations and deaths: analysis of 2 years of a record linked national cohort study in Scotland. J Epidemiol Community Health 2023; 77:641-648. [PMID: 37524538 PMCID: PMC10511958 DOI: 10.1136/jech-2023-220501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 07/17/2023] [Indexed: 08/02/2023]
Abstract
BACKGROUND This study aims to estimate ethnic inequalities in risk for positive SARS-CoV-2 tests, COVID-19 hospitalisations and deaths over time in Scotland. METHODS We conducted a population-based cohort study where the 2011 Scottish Census was linked to health records. We included all individuals ≥ 16 years living in Scotland on 1 March 2020. The study period was from 1 March 2020 to 17 April 2022. Self-reported ethnic group was taken from the census and Cox proportional hazard models estimated HRs for positive SARS-CoV-2 tests, hospitalisations and deaths, adjusted for age, sex and health board. We also conducted separate analyses for each of the four waves of COVID-19 to assess changes in risk over time. FINDINGS Of the 4 358 339 individuals analysed, 1 093 234 positive SARS-CoV-2 tests, 37 437 hospitalisations and 14 158 deaths occurred. The risk of COVID-19 hospitalisation or death among ethnic minority groups was often higher for White Gypsy/Traveller (HR 2.21, 95% CI (1.61 to 3.06)) and Pakistani 2.09 (1.90 to 2.29) groups compared with the white Scottish group. The risk of COVID-19 hospitalisation or death following confirmed positive SARS-CoV-2 test was particularly higher for White Gypsy/Traveller 2.55 (1.81-3.58), Pakistani 1.75 (1.59-1.73) and African 1.61 (1.28-2.03) individuals relative to white Scottish individuals. However, the risk of COVID-19-related death following hospitalisation did not differ. The risk of COVID-19 outcomes for ethnic minority groups was higher in the first three waves compared with the fourth wave. INTERPRETATION Most ethnic minority groups were at increased risk of adverse COVID-19 outcomes in Scotland, especially White Gypsy/Traveller and Pakistani groups. Ethnic inequalities persisted following community infection but not following hospitalisation, suggesting differences in hospital treatment did not substantially contribute to ethnic inequalities.
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Affiliation(s)
- Sarah Amele
- MRC/CSO Social and Public Health Science Unit, School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Eliud Kibuchi
- MRC/CSO Social and Public Health Science Unit, School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Ronan McCabe
- MRC/CSO Social and Public Health Science Unit, School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Anna Pearce
- MRC/CSO Social and Public Health Science Unit, School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Paul Henery
- Public Health Scotland, Glasgow Office, Glasgow, UK
| | - Kirsten Hainey
- MRC/CSO Social and Public Health Science Unit, School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Adeniyi Francis Fagbamigbe
- Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK
- Department of Epidemiology and Medical Statistics, Faculty of Public Health, College of Medicine, University of Ibadan, Ibadan, Oyo, Nigeria
| | - Amanj Kurdi
- Strathclyde Institute of Pharmacy & Biomedical Sciences (SIPBS), Faculty of Science, University of Strathclyde, Glasgow, UK
- Department of Pharmacology,College of Pharmacy, Hawler Medical University, Erbil, Kurdistan, Iraq
| | - Colin McCowan
- School of Medicine, University of St Andrews, St Andrews, Fife, UK
| | - Colin R Simpson
- Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, UK
- School of Health, Wellington Faculty of Health, Victoria University of Wellington, Wellington, New Zealand
| | - Chris Dibben
- Centre for Research on Environment, Society and Health, School of GeoSciences, Institute of Geography, University of Edinburgh, Edinburgh, UK
| | | | - Evangelia Demou
- MRC/CSO Social and Public Health Science Unit, School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Fatima Almaghrabi
- Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, UK
| | - Gina Anghelescu
- Scottish Centre for Administrative Data Research (SCADR), University of Glasgow, Glasgow, UK
| | - Harry Taylor
- Department of Global Health and Social Medicine, King's College London, London, UK
| | - Holly Tibble
- Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, UK
| | - Igor Rudan
- Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, UK
| | - James Nazroo
- Department of Sociology, School of Social Sciences, The University of Manchester, Manchester, UK
| | - Laia Bécares
- Department of Global Health and Social Medicine, King's College London, London, UK
| | - Luke Daines
- Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, UK
| | - Patricia Irizar
- Department of Sociology, School of Social Sciences, The University of Manchester, Manchester, UK
| | - Sandra Jayacodi
- Patient and Public Involvement (PPI) Representative, Non affiliated, Glasgow, UK
| | - Serena Pattaro
- Scottish Centre for Administrative Data Research (SCADR), University of Glasgow, Glasgow, UK
| | - Aziz Sheikh
- Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, UK
| | - Srinivasa Vittal Katikireddi
- MRC/CSO Social and Public Health Science Unit, School of Health and Wellbeing, University of Glasgow, Glasgow, UK
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20
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Bingham J, Tempia S, Moultrie H, Viboud C, Jassat W, Cohen C, Pulliam JR. Estimating the time-varying reproduction number for COVID-19 in South Africa during the first four waves using multiple measures of incidence for public and private sectors across four waves. PLoS One 2023; 18:e0287026. [PMID: 37738280 PMCID: PMC10516415 DOI: 10.1371/journal.pone.0287026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 05/30/2023] [Indexed: 09/24/2023] Open
Abstract
OBJECTIVES The aim of this study was to quantify transmission trends in South Africa during the first four waves of the COVID-19 pandemic using estimates of the time-varying reproduction number (R) and to compare the robustness of R estimates based on three different data sources, and using data from public and private sector service providers. METHODS R was estimated from March 2020 through April 2022, nationally and by province, based on time series of rt-PCR-confirmed cases, hospitalisations, and hospital-associated deaths, using a method that models daily incidence as a weighted sum of past incidence, as implemented in the R package EpiEstim. R was also estimated separately using public and private sector data. RESULTS Nationally, the maximum case-based R following the introduction of lockdown measures was 1.55 (CI: 1.43-1.66), 1.56 (CI: 1.47-1.64), 1.46 (CI: 1.38-1.53) and 3.33 (CI: 2.84-3.97) during the first (Wuhan-Hu), second (Beta), third (Delta), and fourth (Omicron) waves, respectively. Estimates based on the three data sources (cases, hospitalisations, deaths) were generally similar during the first three waves, but higher during the fourth wave for case-based estimates. Public and private sector R estimates were generally similar except during the initial lockdowns and in case-based estimates during the fourth wave. CONCLUSION Agreement between R estimates using different data sources during the first three waves suggests that data from any of these sources could be used in the early stages of a future pandemic. The high R estimates for Omicron relative to earlier waves are interesting given a high level of exposure pre-Omicron. The agreement between public and private sector R estimates highlights that clients of the public and private sectors did not experience two separate epidemics, except perhaps to a limited extent during the strictest lockdowns in the first wave.
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Affiliation(s)
- Jeremy Bingham
- South African DSI-NRF Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Stellenbosch, South Africa
| | - Stefano Tempia
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
- School of Public Health, University of the Witwatersrand, Johannesburg, South Africa
| | - Harry Moultrie
- Division of the National Health Laboratory Service, Centre for Tuberculosis, National Institute for Communicable Diseases, Johannesburg, South Africa
- School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Cecile Viboud
- Fogarty International Center, NIH, Bethesda, MD, United States of America
| | - Waasila Jassat
- Division of Public Health Surveillance and Response, National Institute for Communicable Diseases, National Health Laboratory Service, Johannesburg, South Africa
- Right to Care, Pretoria, South Africa
| | - Cheryl Cohen
- Centre for Respiratory Diseases and Meningitis, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa
- School of Public Health, University of the Witwatersrand, Johannesburg, South Africa
| | - Juliet R.C. Pulliam
- South African DSI-NRF Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Stellenbosch, South Africa
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San Martín-López JV, Mesa N, Bernal-Bello D, Morales-Ortega A, Rivilla M, Guerrero M, Calderón R, Farfán AI, Rivas L, Soria G, Izquierdo A, Madroñal E, Duarte M, Piedrabuena S, Toledano-Macías M, Marrero J, de Ancos C, Frutos B, Cristóbal R, Velázquez L, Mora B, Cuenca P, Satué JÁ, Ayala-Larrañaga I, Carpintero L, Lara C, Llerena ÁR, García V, García de Viedma V, Prieto S, González-Pereira N, Bravo C, Mariño C, Lechuga LA, Tarancón J, Gonzalo S, Moreno S, Ruiz-Giardin JM. Seven Epidemic Waves of COVID-19 in a Hospital in Madrid: Analysis of Severity and Associated Factors. Viruses 2023; 15:1839. [PMID: 37766248 PMCID: PMC10538062 DOI: 10.3390/v15091839] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 08/21/2023] [Accepted: 08/28/2023] [Indexed: 09/29/2023] Open
Abstract
(1) Background: COVID-19 has evolved during seven epidemic waves in Spain. Our objective was to describe changes in mortality and severity in our hospitalized patients. (2) Method: This study employed a descriptive, retrospective approach for COVID-19 patients admitted to the Hospital de Fuenlabrada (Madrid, Spain) until 31 December 2022. (3) Results: A total of 5510 admissions for COVID-19 were recorded. The first wave accounted for 1823 (33%) admissions and exhibited the highest proportion of severe patients: 65% with bilateral pneumonia and 83% with oxygen saturation under 94% during admission and elevated levels of CRP, IL-6, and D-dimer. In contrast, the seventh wave had the highest median age (79 years) and comorbidity (Charlson: 2.7), while only 3% of patients had bilateral pneumonia and 3% required intubation. The overall mortality rate was 10.3%. The first wave represented 39% of the total. The variables related to mortality were age (OR: 1.08, 1.07-1.09), cancer (OR: 1.99, 1.53-2.60), dementia (OR: 1.82, 1.20-2.75), the Charlson index (1.38, 1.31-1.47), the need for high-flow oxygen (OR: 6.10, 4.94-7.52), mechanical ventilation (OR: 11.554, 6.996-19.080), and CRP (OR: 1.04, 1.03-1.06). (4) Conclusions: The variables associated with mortality included age, comorbidity, respiratory failure, and inflammation. Differences in the baseline characteristics of admitted patients explained the differences in mortality in each wave. Differences observed between patients admitted in the latest wave and the earlier ones suggest that COVID-19 has evolved into a distinct disease, requiring a distinct approach.
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Affiliation(s)
- Juan Víctor San Martín-López
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
- CIBERINFEC, Instituto de Salud Carlos III, Madrid, 28029 Madrid, Spain;
| | - Nieves Mesa
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - David Bernal-Bello
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Alejandro Morales-Ortega
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
- Departamento de Medicina y Especialidades Médicas, Universidad de Alcalá, 28871 Madrid, Spain
| | - Marta Rivilla
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Marta Guerrero
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Ruth Calderón
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Ana I. Farfán
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Luis Rivas
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Guillermo Soria
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Aída Izquierdo
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Elena Madroñal
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Miguel Duarte
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Sara Piedrabuena
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - María Toledano-Macías
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Jorge Marrero
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Cristina de Ancos
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Begoña Frutos
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Rafael Cristóbal
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Laura Velázquez
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Belén Mora
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Paula Cuenca
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - José Á. Satué
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Ibone Ayala-Larrañaga
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Lorena Carpintero
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Celia Lara
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Álvaro R. Llerena
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Virginia García
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Vanessa García de Viedma
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Santiago Prieto
- Servicio de Laboratorio Clínico, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (S.P.); (N.G.-P.)
| | - Natalia González-Pereira
- Servicio de Laboratorio Clínico, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (S.P.); (N.G.-P.)
| | - Cristina Bravo
- Servicio de Farmacia, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (C.B.); (C.M.)
| | - Carolina Mariño
- Servicio de Farmacia, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (C.B.); (C.M.)
| | - Luis Antonio Lechuga
- Sistemas, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (L.A.L.); (J.T.)
| | - Jorge Tarancón
- Sistemas, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (L.A.L.); (J.T.)
| | - Sonia Gonzalo
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
| | - Santiago Moreno
- CIBERINFEC, Instituto de Salud Carlos III, Madrid, 28029 Madrid, Spain;
- Departamento de Medicina y Especialidades Médicas, Universidad de Alcalá, 28871 Madrid, Spain
- Servicio de Enfermedades Infecciosas, Hospital U. Ramón y Cajal, IRYCIS, 28034 Madrid, Spain
| | - José M. Ruiz-Giardin
- Servicio de Medicina Interna, Hospital Universitario de Fuenlabrada, 28942 Madrid, Spain; (N.M.); (D.B.-B.); (A.M.-O.); (M.R.); (M.G.); (R.C.); (A.I.F.); (L.R.); (G.S.); (A.I.); (E.M.); (M.D.); (S.P.); (M.T.-M.); (J.M.); (C.d.A.); (B.F.); (R.C.); (L.V.); (B.M.); (P.C.); (J.Á.S.); (I.A.-L.); (L.C.); (C.L.); (Á.R.L.); (V.G.); (V.G.d.V.); (S.G.); (J.M.R.-G.)
- CIBERINFEC, Instituto de Salud Carlos III, Madrid, 28029 Madrid, Spain;
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22
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Jamalidoust M, Eilami O, Ashkan Z, Ziyaeyan M, Aliabadi N, Habibi M. The rates and symptoms of natural and breakthrough infection pre- and post- Covid-19 non-mRNA vaccination at various peaks amongst Iranian healthcare workers. Virol J 2023; 20:182. [PMID: 37596593 PMCID: PMC10436397 DOI: 10.1186/s12985-023-02156-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Accepted: 08/09/2023] [Indexed: 08/20/2023] Open
Abstract
BACKGROUND/AIMS The aim of this study was to determine the rate of natural and breakthrough infection and related symptoms of Covid-19 amongst Iranian healthcare workers (HCWs) who were vaccinated by different non-mRNA-based vaccines at peak points. METHODS In this cross-sectional study, the RT-PCR test was performed for a total of 10,581 HCWs suspicious of Covid-19 infection. For each HCW, the frequency of SARS-CoV-2 infection and the time of transmission based on vaccination administration time and schedule were examined during different waves of the pandemic. Based on these findings, the study patients were divided into three groups: natural, natural/breakthrough, and breakthrough. RESULTS In total, 53% of the HCWs were exposed to SARS-CoV-2 infection between 1 and 5 times within two years after the current pandemic, while 20.7% and 32.3% experienced natural and breakthrough SARS-CoV-2 infection, respectively. Only 6% of the breakthrough-infected HCWs had naturally contracted SARS-CoV-2 infection during the initial waves. The highest natural peaks of infection occurred during the interval administration of the first and second dose of the first vaccination series, while the single highest peak of breakthrough infection belonged to the Omicron wave. It occurred simultaneously with the administration of the third vaccination dose. On the other hand, the highest rate of reinfection was observed amongst people who had received the Sinopharm and Bharat vaccines full-doses. CONCLUSION This study compared the clinical differences between the two peaks of Omicron and Delta. This study indicates the rates of natural and breakthrough SARS-CoV-2 infections according to vaccination schedules and different waves of the pandemic.
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Grants
- Department of Virology, Professor Alborzi Clinical Microbiology Research Center, Namazi Hospital, Shiraz University of Medical Sciences, Shiraz- Iran
- Department of Family Medicine and infectious disease, Shiraz University of Medical Sciences, Shiraz, Iran.
- Department of Biology, Faculty of Basic Science, Shahrekord University, Shahrekord, Iran.
- Statistics and Information Technology Management, Shiraz University of Medical Sciences, Shiraz, Iran
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Affiliation(s)
- Marzieh Jamalidoust
- Department of Virology, Professor Alborzi Clinical Microbiology Research Center, Namazi Hospital, Shiraz University of Medical Sciences, Shiraz, 71937-11351, Iran.
| | - Owrang Eilami
- Department of Family Medicine and Infectious Disease, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Zahra Ashkan
- Department of Biology, Faculty of Basic Science, Shahrekord University, Shahrekord, Iran
| | - Mazyar Ziyaeyan
- Department of Virology, Professor Alborzi Clinical Microbiology Research Center, Namazi Hospital, Shiraz University of Medical Sciences, Shiraz, 71937-11351, Iran
| | - Nasrin Aliabadi
- Department of Virology, Professor Alborzi Clinical Microbiology Research Center, Namazi Hospital, Shiraz University of Medical Sciences, Shiraz, 71937-11351, Iran
| | - Mohammad Habibi
- Statistics and Information Technology Management, Shiraz University of Medical Sciences, Shiraz, Iran
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23
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Lee T, Cheng MP, Vinh DC, Lee TC, Tran KC, Winston BW, Sweet D, Boyd JH, Walley KR, Haljan G, McGeer A, Lamontagne F, Fowler R, Maslove DM, Singer J, Patrick DM, Marshall JC, Burns KD, Murthy S, Mann PK, Hernandez G, Donohoe K, Russell JA. Outcomes and characteristics of patients hospitalized for COVID-19 in British Columbia, Ontario and Quebec during the Omicron wave. CMAJ Open 2023; 11:E672-E683. [PMID: 37527902 PMCID: PMC10400083 DOI: 10.9778/cmajo.20220194] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/03/2023] Open
Abstract
BACKGROUND Omicron is the current predominant variant of concern of SARS-CoV-2. We hypothesized that vaccination alters outcomes of patients hospitalized with COVID-19 during the Omicron wave and that these patients have different characteristics and outcomes than in previous waves. METHODS This is a substudy of the Host Response Mediators in Coronavirus (COVID-19) Infection (ARBs CORONA I) trial, which included adults admitted to hospital with acute COVID-19 up to July 2022 from 9 hospitals in British Columbia, Ontario and Quebec. We excluded emergency department visits without hospital admission, readmissions and admissions for another reason. Using adjusted regression analysis, we compared mortality and organ dysfunction between vaccinated (≥ 2 doses) and unvaccinated patients during the Omicron wave, as well as between all patients in the Omicron and first 3 waves of the COVID-19 pandemic. RESULTS During the Omicron wave, 28-day mortality was significantly lower in vaccinated (n = 19/237) than unvaccinated hospitalized patients (n = 12/127) (adjusted odds ratio [OR] 0.36, 95% confidence interval [CI] 0.15-0.89); vaccinated patients had lower risk of admission to the intensive care unit, invasive ventilation and acute respiratory distress syndrome and shorter hospital length of stay. Patients hospitalized during the Omicron wave had more comorbidities than in previous waves, and lower 28-day mortality than in waves 1 and 2 (adjusted OR 0.38, 95% CI 0.24-0.59; and 0.42, 95% CI 0.26-0.65) but not wave 3 (adjusted OR 0.81, 95% CI 0.43-1.51) and had less organ dysfunction than in the first 2 waves. INTERPRETATION Patients who were at least double vaccinated had lower mortality than unvaccinated patients hospitalized during the Omicron wave. Patients hospitalized during the Omicron wave had more chronic disease and lower mortality than in the first 2 waves, but not wave 3. Changes in vaccination, treatments and predominant SARS-CoV-2 variant may have decreased mortality in patients hospitalized during the Omicron wave.
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Affiliation(s)
- Terry Lee
- Centre for Health Evaluation and Outcome Science, St. Paul's Hospital, University of British Columbia (Lee, Singer), Vancouver, BC; Division of Infectious Diseases, Department of Medicine (Cheng, Vinh, Lee), McGill University Health Centre, Montréal, Que.; Division of General Internal Medicine, Vancouver General Hospital; University of British Columbia (Tran), Vancouver, BC; Departments of Critical Care Medicine, Medicine and Biochemistry and Molecular Biology (Winston), Foothills Medical Centre; University of Calgary, Calgary, Alta.; Division of Critical Care Medicine (Sweet), Vancouver General Hospital; University of British Columbia; Centre for Heart Lung Innovation (Boyd, Walley, Russell), St. Paul's Hospital, University of British Columbia, Division of Critical Care Medicine, St. Paul's Hospital, University of British Columbia (Boyd, Walley, Russell), Vancouver, BC; Department of Medicine (Haljan), Surrey Memorial Hospital, Surrey, BC; Mt. Sinai Hospital and University of Toronto (McGeer), Toronto, Ont.; University of Sherbrooke (Lamontagne), Sherbrooke, Que.; Sunnybrook Health Sciences Centre (Fowler), Toronto, Ont.; Department of Critical Care, Kingston General Hospital and Queen's University (Maslove), Kingston, Ont.; British Columbia Centre for Disease Control and University of British Columbia (Patrick), Vancouver, BC; Department of Surgery (Marshall), St. Michael's Hospital, Toronto, Ont.; Division of Nephrology, Department of Medicine (Burns), Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ont.; BC Children's Hospital and University of British Columbia (Murthy), Vancouver, BC; Black Tusk Research Group (Mann, Hernandez, Donohoe), Vancouver, BC
| | - Matthew P Cheng
- Centre for Health Evaluation and Outcome Science, St. Paul's Hospital, University of British Columbia (Lee, Singer), Vancouver, BC; Division of Infectious Diseases, Department of Medicine (Cheng, Vinh, Lee), McGill University Health Centre, Montréal, Que.; Division of General Internal Medicine, Vancouver General Hospital; University of British Columbia (Tran), Vancouver, BC; Departments of Critical Care Medicine, Medicine and Biochemistry and Molecular Biology (Winston), Foothills Medical Centre; University of Calgary, Calgary, Alta.; Division of Critical Care Medicine (Sweet), Vancouver General Hospital; University of British Columbia; Centre for Heart Lung Innovation (Boyd, Walley, Russell), St. Paul's Hospital, University of British Columbia, Division of Critical Care Medicine, St. Paul's Hospital, University of British Columbia (Boyd, Walley, Russell), Vancouver, BC; Department of Medicine (Haljan), Surrey Memorial Hospital, Surrey, BC; Mt. Sinai Hospital and University of Toronto (McGeer), Toronto, Ont.; University of Sherbrooke (Lamontagne), Sherbrooke, Que.; Sunnybrook Health Sciences Centre (Fowler), Toronto, Ont.; Department of Critical Care, Kingston General Hospital and Queen's University (Maslove), Kingston, Ont.; British Columbia Centre for Disease Control and University of British Columbia (Patrick), Vancouver, BC; Department of Surgery (Marshall), St. Michael's Hospital, Toronto, Ont.; Division of Nephrology, Department of Medicine (Burns), Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ont.; BC Children's Hospital and University of British Columbia (Murthy), Vancouver, BC; Black Tusk Research Group (Mann, Hernandez, Donohoe), Vancouver, BC
| | - Donald C Vinh
- Centre for Health Evaluation and Outcome Science, St. Paul's Hospital, University of British Columbia (Lee, Singer), Vancouver, BC; Division of Infectious Diseases, Department of Medicine (Cheng, Vinh, Lee), McGill University Health Centre, Montréal, Que.; Division of General Internal Medicine, Vancouver General Hospital; University of British Columbia (Tran), Vancouver, BC; Departments of Critical Care Medicine, Medicine and Biochemistry and Molecular Biology (Winston), Foothills Medical Centre; University of Calgary, Calgary, Alta.; Division of Critical Care Medicine (Sweet), Vancouver General Hospital; University of British Columbia; Centre for Heart Lung Innovation (Boyd, Walley, Russell), St. Paul's Hospital, University of British Columbia, Division of Critical Care Medicine, St. Paul's Hospital, University of British Columbia (Boyd, Walley, Russell), Vancouver, BC; Department of Medicine (Haljan), Surrey Memorial Hospital, Surrey, BC; Mt. Sinai Hospital and University of Toronto (McGeer), Toronto, Ont.; University of Sherbrooke (Lamontagne), Sherbrooke, Que.; Sunnybrook Health Sciences Centre (Fowler), Toronto, Ont.; Department of Critical Care, Kingston General Hospital and Queen's University (Maslove), Kingston, Ont.; British Columbia Centre for Disease Control and University of British Columbia (Patrick), Vancouver, BC; Department of Surgery (Marshall), St. Michael's Hospital, Toronto, Ont.; Division of Nephrology, Department of Medicine (Burns), Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ont.; BC Children's Hospital and University of British Columbia (Murthy), Vancouver, BC; Black Tusk Research Group (Mann, Hernandez, Donohoe), Vancouver, BC
| | - Todd C Lee
- Centre for Health Evaluation and Outcome Science, St. Paul's Hospital, University of British Columbia (Lee, Singer), Vancouver, BC; Division of Infectious Diseases, Department of Medicine (Cheng, Vinh, Lee), McGill University Health Centre, Montréal, Que.; Division of General Internal Medicine, Vancouver General Hospital; University of British Columbia (Tran), Vancouver, BC; Departments of Critical Care Medicine, Medicine and Biochemistry and Molecular Biology (Winston), Foothills Medical Centre; University of Calgary, Calgary, Alta.; Division of Critical Care Medicine (Sweet), Vancouver General Hospital; University of British Columbia; Centre for Heart Lung Innovation (Boyd, Walley, Russell), St. Paul's Hospital, University of British Columbia, Division of Critical Care Medicine, St. Paul's Hospital, University of British Columbia (Boyd, Walley, Russell), Vancouver, BC; Department of Medicine (Haljan), Surrey Memorial Hospital, Surrey, BC; Mt. Sinai Hospital and University of Toronto (McGeer), Toronto, Ont.; University of Sherbrooke (Lamontagne), Sherbrooke, Que.; Sunnybrook Health Sciences Centre (Fowler), Toronto, Ont.; Department of Critical Care, Kingston General Hospital and Queen's University (Maslove), Kingston, Ont.; British Columbia Centre for Disease Control and University of British Columbia (Patrick), Vancouver, BC; Department of Surgery (Marshall), St. Michael's Hospital, Toronto, Ont.; Division of Nephrology, Department of Medicine (Burns), Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ont.; BC Children's Hospital and University of British Columbia (Murthy), Vancouver, BC; Black Tusk Research Group (Mann, Hernandez, Donohoe), Vancouver, BC
| | - Karen C Tran
- Centre for Health Evaluation and Outcome Science, St. Paul's Hospital, University of British Columbia (Lee, Singer), Vancouver, BC; Division of Infectious Diseases, Department of Medicine (Cheng, Vinh, Lee), McGill University Health Centre, Montréal, Que.; Division of General Internal Medicine, Vancouver General Hospital; University of British Columbia (Tran), Vancouver, BC; Departments of Critical Care Medicine, Medicine and Biochemistry and Molecular Biology (Winston), Foothills Medical Centre; University of Calgary, Calgary, Alta.; Division of Critical Care Medicine (Sweet), Vancouver General Hospital; University of British Columbia; Centre for Heart Lung Innovation (Boyd, Walley, Russell), St. Paul's Hospital, University of British Columbia, Division of Critical Care Medicine, St. Paul's Hospital, University of British Columbia (Boyd, Walley, Russell), Vancouver, BC; Department of Medicine (Haljan), Surrey Memorial Hospital, Surrey, BC; Mt. Sinai Hospital and University of Toronto (McGeer), Toronto, Ont.; University of Sherbrooke (Lamontagne), Sherbrooke, Que.; Sunnybrook Health Sciences Centre (Fowler), Toronto, Ont.; Department of Critical Care, Kingston General Hospital and Queen's University (Maslove), Kingston, Ont.; British Columbia Centre for Disease Control and University of British Columbia (Patrick), Vancouver, BC; Department of Surgery (Marshall), St. Michael's Hospital, Toronto, Ont.; Division of Nephrology, Department of Medicine (Burns), Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ont.; BC Children's Hospital and University of British Columbia (Murthy), Vancouver, BC; Black Tusk Research Group (Mann, Hernandez, Donohoe), Vancouver, BC
| | - Brent W Winston
- Centre for Health Evaluation and Outcome Science, St. Paul's Hospital, University of British Columbia (Lee, Singer), Vancouver, BC; Division of Infectious Diseases, Department of Medicine (Cheng, Vinh, Lee), McGill University Health Centre, Montréal, Que.; Division of General Internal Medicine, Vancouver General Hospital; University of British Columbia (Tran), Vancouver, BC; Departments of Critical Care Medicine, Medicine and Biochemistry and Molecular Biology (Winston), Foothills Medical Centre; University of Calgary, Calgary, Alta.; Division of Critical Care Medicine (Sweet), Vancouver General Hospital; University of British Columbia; Centre for Heart Lung Innovation (Boyd, Walley, Russell), St. Paul's Hospital, University of British Columbia, Division of Critical Care Medicine, St. Paul's Hospital, University of British Columbia (Boyd, Walley, Russell), Vancouver, BC; Department of Medicine (Haljan), Surrey Memorial Hospital, Surrey, BC; Mt. Sinai Hospital and University of Toronto (McGeer), Toronto, Ont.; University of Sherbrooke (Lamontagne), Sherbrooke, Que.; Sunnybrook Health Sciences Centre (Fowler), Toronto, Ont.; Department of Critical Care, Kingston General Hospital and Queen's University (Maslove), Kingston, Ont.; British Columbia Centre for Disease Control and University of British Columbia (Patrick), Vancouver, BC; Department of Surgery (Marshall), St. Michael's Hospital, Toronto, Ont.; Division of Nephrology, Department of Medicine (Burns), Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ont.; BC Children's Hospital and University of British Columbia (Murthy), Vancouver, BC; Black Tusk Research Group (Mann, Hernandez, Donohoe), Vancouver, BC
| | - David Sweet
- Centre for Health Evaluation and Outcome Science, St. Paul's Hospital, University of British Columbia (Lee, Singer), Vancouver, BC; Division of Infectious Diseases, Department of Medicine (Cheng, Vinh, Lee), McGill University Health Centre, Montréal, Que.; Division of General Internal Medicine, Vancouver General Hospital; University of British Columbia (Tran), Vancouver, BC; Departments of Critical Care Medicine, Medicine and Biochemistry and Molecular Biology (Winston), Foothills Medical Centre; University of Calgary, Calgary, Alta.; Division of Critical Care Medicine (Sweet), Vancouver General Hospital; University of British Columbia; Centre for Heart Lung Innovation (Boyd, Walley, Russell), St. Paul's Hospital, University of British Columbia, Division of Critical Care Medicine, St. Paul's Hospital, University of British Columbia (Boyd, Walley, Russell), Vancouver, BC; Department of Medicine (Haljan), Surrey Memorial Hospital, Surrey, BC; Mt. Sinai Hospital and University of Toronto (McGeer), Toronto, Ont.; University of Sherbrooke (Lamontagne), Sherbrooke, Que.; Sunnybrook Health Sciences Centre (Fowler), Toronto, Ont.; Department of Critical Care, Kingston General Hospital and Queen's University (Maslove), Kingston, Ont.; British Columbia Centre for Disease Control and University of British Columbia (Patrick), Vancouver, BC; Department of Surgery (Marshall), St. Michael's Hospital, Toronto, Ont.; Division of Nephrology, Department of Medicine (Burns), Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ont.; BC Children's Hospital and University of British Columbia (Murthy), Vancouver, BC; Black Tusk Research Group (Mann, Hernandez, Donohoe), Vancouver, BC
| | - John H Boyd
- Centre for Health Evaluation and Outcome Science, St. Paul's Hospital, University of British Columbia (Lee, Singer), Vancouver, BC; Division of Infectious Diseases, Department of Medicine (Cheng, Vinh, Lee), McGill University Health Centre, Montréal, Que.; Division of General Internal Medicine, Vancouver General Hospital; University of British Columbia (Tran), Vancouver, BC; Departments of Critical Care Medicine, Medicine and Biochemistry and Molecular Biology (Winston), Foothills Medical Centre; University of Calgary, Calgary, Alta.; Division of Critical Care Medicine (Sweet), Vancouver General Hospital; University of British Columbia; Centre for Heart Lung Innovation (Boyd, Walley, Russell), St. Paul's Hospital, University of British Columbia, Division of Critical Care Medicine, St. Paul's Hospital, University of British Columbia (Boyd, Walley, Russell), Vancouver, BC; Department of Medicine (Haljan), Surrey Memorial Hospital, Surrey, BC; Mt. Sinai Hospital and University of Toronto (McGeer), Toronto, Ont.; University of Sherbrooke (Lamontagne), Sherbrooke, Que.; Sunnybrook Health Sciences Centre (Fowler), Toronto, Ont.; Department of Critical Care, Kingston General Hospital and Queen's University (Maslove), Kingston, Ont.; British Columbia Centre for Disease Control and University of British Columbia (Patrick), Vancouver, BC; Department of Surgery (Marshall), St. Michael's Hospital, Toronto, Ont.; Division of Nephrology, Department of Medicine (Burns), Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ont.; BC Children's Hospital and University of British Columbia (Murthy), Vancouver, BC; Black Tusk Research Group (Mann, Hernandez, Donohoe), Vancouver, BC
| | - Keith R Walley
- Centre for Health Evaluation and Outcome Science, St. Paul's Hospital, University of British Columbia (Lee, Singer), Vancouver, BC; Division of Infectious Diseases, Department of Medicine (Cheng, Vinh, Lee), McGill University Health Centre, Montréal, Que.; Division of General Internal Medicine, Vancouver General Hospital; University of British Columbia (Tran), Vancouver, BC; Departments of Critical Care Medicine, Medicine and Biochemistry and Molecular Biology (Winston), Foothills Medical Centre; University of Calgary, Calgary, Alta.; Division of Critical Care Medicine (Sweet), Vancouver General Hospital; University of British Columbia; Centre for Heart Lung Innovation (Boyd, Walley, Russell), St. Paul's Hospital, University of British Columbia, Division of Critical Care Medicine, St. Paul's Hospital, University of British Columbia (Boyd, Walley, Russell), Vancouver, BC; Department of Medicine (Haljan), Surrey Memorial Hospital, Surrey, BC; Mt. Sinai Hospital and University of Toronto (McGeer), Toronto, Ont.; University of Sherbrooke (Lamontagne), Sherbrooke, Que.; Sunnybrook Health Sciences Centre (Fowler), Toronto, Ont.; Department of Critical Care, Kingston General Hospital and Queen's University (Maslove), Kingston, Ont.; British Columbia Centre for Disease Control and University of British Columbia (Patrick), Vancouver, BC; Department of Surgery (Marshall), St. Michael's Hospital, Toronto, Ont.; Division of Nephrology, Department of Medicine (Burns), Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ont.; BC Children's Hospital and University of British Columbia (Murthy), Vancouver, BC; Black Tusk Research Group (Mann, Hernandez, Donohoe), Vancouver, BC
| | - Greg Haljan
- Centre for Health Evaluation and Outcome Science, St. Paul's Hospital, University of British Columbia (Lee, Singer), Vancouver, BC; Division of Infectious Diseases, Department of Medicine (Cheng, Vinh, Lee), McGill University Health Centre, Montréal, Que.; Division of General Internal Medicine, Vancouver General Hospital; University of British Columbia (Tran), Vancouver, BC; Departments of Critical Care Medicine, Medicine and Biochemistry and Molecular Biology (Winston), Foothills Medical Centre; University of Calgary, Calgary, Alta.; Division of Critical Care Medicine (Sweet), Vancouver General Hospital; University of British Columbia; Centre for Heart Lung Innovation (Boyd, Walley, Russell), St. Paul's Hospital, University of British Columbia, Division of Critical Care Medicine, St. Paul's Hospital, University of British Columbia (Boyd, Walley, Russell), Vancouver, BC; Department of Medicine (Haljan), Surrey Memorial Hospital, Surrey, BC; Mt. Sinai Hospital and University of Toronto (McGeer), Toronto, Ont.; University of Sherbrooke (Lamontagne), Sherbrooke, Que.; Sunnybrook Health Sciences Centre (Fowler), Toronto, Ont.; Department of Critical Care, Kingston General Hospital and Queen's University (Maslove), Kingston, Ont.; British Columbia Centre for Disease Control and University of British Columbia (Patrick), Vancouver, BC; Department of Surgery (Marshall), St. Michael's Hospital, Toronto, Ont.; Division of Nephrology, Department of Medicine (Burns), Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ont.; BC Children's Hospital and University of British Columbia (Murthy), Vancouver, BC; Black Tusk Research Group (Mann, Hernandez, Donohoe), Vancouver, BC
| | - Allison McGeer
- Centre for Health Evaluation and Outcome Science, St. Paul's Hospital, University of British Columbia (Lee, Singer), Vancouver, BC; Division of Infectious Diseases, Department of Medicine (Cheng, Vinh, Lee), McGill University Health Centre, Montréal, Que.; Division of General Internal Medicine, Vancouver General Hospital; University of British Columbia (Tran), Vancouver, BC; Departments of Critical Care Medicine, Medicine and Biochemistry and Molecular Biology (Winston), Foothills Medical Centre; University of Calgary, Calgary, Alta.; Division of Critical Care Medicine (Sweet), Vancouver General Hospital; University of British Columbia; Centre for Heart Lung Innovation (Boyd, Walley, Russell), St. Paul's Hospital, University of British Columbia, Division of Critical Care Medicine, St. Paul's Hospital, University of British Columbia (Boyd, Walley, Russell), Vancouver, BC; Department of Medicine (Haljan), Surrey Memorial Hospital, Surrey, BC; Mt. Sinai Hospital and University of Toronto (McGeer), Toronto, Ont.; University of Sherbrooke (Lamontagne), Sherbrooke, Que.; Sunnybrook Health Sciences Centre (Fowler), Toronto, Ont.; Department of Critical Care, Kingston General Hospital and Queen's University (Maslove), Kingston, Ont.; British Columbia Centre for Disease Control and University of British Columbia (Patrick), Vancouver, BC; Department of Surgery (Marshall), St. Michael's Hospital, Toronto, Ont.; Division of Nephrology, Department of Medicine (Burns), Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ont.; BC Children's Hospital and University of British Columbia (Murthy), Vancouver, BC; Black Tusk Research Group (Mann, Hernandez, Donohoe), Vancouver, BC
| | - Francois Lamontagne
- Centre for Health Evaluation and Outcome Science, St. Paul's Hospital, University of British Columbia (Lee, Singer), Vancouver, BC; Division of Infectious Diseases, Department of Medicine (Cheng, Vinh, Lee), McGill University Health Centre, Montréal, Que.; Division of General Internal Medicine, Vancouver General Hospital; University of British Columbia (Tran), Vancouver, BC; Departments of Critical Care Medicine, Medicine and Biochemistry and Molecular Biology (Winston), Foothills Medical Centre; University of Calgary, Calgary, Alta.; Division of Critical Care Medicine (Sweet), Vancouver General Hospital; University of British Columbia; Centre for Heart Lung Innovation (Boyd, Walley, Russell), St. Paul's Hospital, University of British Columbia, Division of Critical Care Medicine, St. Paul's Hospital, University of British Columbia (Boyd, Walley, Russell), Vancouver, BC; Department of Medicine (Haljan), Surrey Memorial Hospital, Surrey, BC; Mt. Sinai Hospital and University of Toronto (McGeer), Toronto, Ont.; University of Sherbrooke (Lamontagne), Sherbrooke, Que.; Sunnybrook Health Sciences Centre (Fowler), Toronto, Ont.; Department of Critical Care, Kingston General Hospital and Queen's University (Maslove), Kingston, Ont.; British Columbia Centre for Disease Control and University of British Columbia (Patrick), Vancouver, BC; Department of Surgery (Marshall), St. Michael's Hospital, Toronto, Ont.; Division of Nephrology, Department of Medicine (Burns), Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ont.; BC Children's Hospital and University of British Columbia (Murthy), Vancouver, BC; Black Tusk Research Group (Mann, Hernandez, Donohoe), Vancouver, BC
| | - Robert Fowler
- Centre for Health Evaluation and Outcome Science, St. Paul's Hospital, University of British Columbia (Lee, Singer), Vancouver, BC; Division of Infectious Diseases, Department of Medicine (Cheng, Vinh, Lee), McGill University Health Centre, Montréal, Que.; Division of General Internal Medicine, Vancouver General Hospital; University of British Columbia (Tran), Vancouver, BC; Departments of Critical Care Medicine, Medicine and Biochemistry and Molecular Biology (Winston), Foothills Medical Centre; University of Calgary, Calgary, Alta.; Division of Critical Care Medicine (Sweet), Vancouver General Hospital; University of British Columbia; Centre for Heart Lung Innovation (Boyd, Walley, Russell), St. Paul's Hospital, University of British Columbia, Division of Critical Care Medicine, St. Paul's Hospital, University of British Columbia (Boyd, Walley, Russell), Vancouver, BC; Department of Medicine (Haljan), Surrey Memorial Hospital, Surrey, BC; Mt. Sinai Hospital and University of Toronto (McGeer), Toronto, Ont.; University of Sherbrooke (Lamontagne), Sherbrooke, Que.; Sunnybrook Health Sciences Centre (Fowler), Toronto, Ont.; Department of Critical Care, Kingston General Hospital and Queen's University (Maslove), Kingston, Ont.; British Columbia Centre for Disease Control and University of British Columbia (Patrick), Vancouver, BC; Department of Surgery (Marshall), St. Michael's Hospital, Toronto, Ont.; Division of Nephrology, Department of Medicine (Burns), Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ont.; BC Children's Hospital and University of British Columbia (Murthy), Vancouver, BC; Black Tusk Research Group (Mann, Hernandez, Donohoe), Vancouver, BC
| | - David M Maslove
- Centre for Health Evaluation and Outcome Science, St. Paul's Hospital, University of British Columbia (Lee, Singer), Vancouver, BC; Division of Infectious Diseases, Department of Medicine (Cheng, Vinh, Lee), McGill University Health Centre, Montréal, Que.; Division of General Internal Medicine, Vancouver General Hospital; University of British Columbia (Tran), Vancouver, BC; Departments of Critical Care Medicine, Medicine and Biochemistry and Molecular Biology (Winston), Foothills Medical Centre; University of Calgary, Calgary, Alta.; Division of Critical Care Medicine (Sweet), Vancouver General Hospital; University of British Columbia; Centre for Heart Lung Innovation (Boyd, Walley, Russell), St. Paul's Hospital, University of British Columbia, Division of Critical Care Medicine, St. Paul's Hospital, University of British Columbia (Boyd, Walley, Russell), Vancouver, BC; Department of Medicine (Haljan), Surrey Memorial Hospital, Surrey, BC; Mt. Sinai Hospital and University of Toronto (McGeer), Toronto, Ont.; University of Sherbrooke (Lamontagne), Sherbrooke, Que.; Sunnybrook Health Sciences Centre (Fowler), Toronto, Ont.; Department of Critical Care, Kingston General Hospital and Queen's University (Maslove), Kingston, Ont.; British Columbia Centre for Disease Control and University of British Columbia (Patrick), Vancouver, BC; Department of Surgery (Marshall), St. Michael's Hospital, Toronto, Ont.; Division of Nephrology, Department of Medicine (Burns), Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ont.; BC Children's Hospital and University of British Columbia (Murthy), Vancouver, BC; Black Tusk Research Group (Mann, Hernandez, Donohoe), Vancouver, BC
| | - Joel Singer
- Centre for Health Evaluation and Outcome Science, St. Paul's Hospital, University of British Columbia (Lee, Singer), Vancouver, BC; Division of Infectious Diseases, Department of Medicine (Cheng, Vinh, Lee), McGill University Health Centre, Montréal, Que.; Division of General Internal Medicine, Vancouver General Hospital; University of British Columbia (Tran), Vancouver, BC; Departments of Critical Care Medicine, Medicine and Biochemistry and Molecular Biology (Winston), Foothills Medical Centre; University of Calgary, Calgary, Alta.; Division of Critical Care Medicine (Sweet), Vancouver General Hospital; University of British Columbia; Centre for Heart Lung Innovation (Boyd, Walley, Russell), St. Paul's Hospital, University of British Columbia, Division of Critical Care Medicine, St. Paul's Hospital, University of British Columbia (Boyd, Walley, Russell), Vancouver, BC; Department of Medicine (Haljan), Surrey Memorial Hospital, Surrey, BC; Mt. Sinai Hospital and University of Toronto (McGeer), Toronto, Ont.; University of Sherbrooke (Lamontagne), Sherbrooke, Que.; Sunnybrook Health Sciences Centre (Fowler), Toronto, Ont.; Department of Critical Care, Kingston General Hospital and Queen's University (Maslove), Kingston, Ont.; British Columbia Centre for Disease Control and University of British Columbia (Patrick), Vancouver, BC; Department of Surgery (Marshall), St. Michael's Hospital, Toronto, Ont.; Division of Nephrology, Department of Medicine (Burns), Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ont.; BC Children's Hospital and University of British Columbia (Murthy), Vancouver, BC; Black Tusk Research Group (Mann, Hernandez, Donohoe), Vancouver, BC
| | - David M Patrick
- Centre for Health Evaluation and Outcome Science, St. Paul's Hospital, University of British Columbia (Lee, Singer), Vancouver, BC; Division of Infectious Diseases, Department of Medicine (Cheng, Vinh, Lee), McGill University Health Centre, Montréal, Que.; Division of General Internal Medicine, Vancouver General Hospital; University of British Columbia (Tran), Vancouver, BC; Departments of Critical Care Medicine, Medicine and Biochemistry and Molecular Biology (Winston), Foothills Medical Centre; University of Calgary, Calgary, Alta.; Division of Critical Care Medicine (Sweet), Vancouver General Hospital; University of British Columbia; Centre for Heart Lung Innovation (Boyd, Walley, Russell), St. Paul's Hospital, University of British Columbia, Division of Critical Care Medicine, St. Paul's Hospital, University of British Columbia (Boyd, Walley, Russell), Vancouver, BC; Department of Medicine (Haljan), Surrey Memorial Hospital, Surrey, BC; Mt. Sinai Hospital and University of Toronto (McGeer), Toronto, Ont.; University of Sherbrooke (Lamontagne), Sherbrooke, Que.; Sunnybrook Health Sciences Centre (Fowler), Toronto, Ont.; Department of Critical Care, Kingston General Hospital and Queen's University (Maslove), Kingston, Ont.; British Columbia Centre for Disease Control and University of British Columbia (Patrick), Vancouver, BC; Department of Surgery (Marshall), St. Michael's Hospital, Toronto, Ont.; Division of Nephrology, Department of Medicine (Burns), Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ont.; BC Children's Hospital and University of British Columbia (Murthy), Vancouver, BC; Black Tusk Research Group (Mann, Hernandez, Donohoe), Vancouver, BC
| | - John C Marshall
- Centre for Health Evaluation and Outcome Science, St. Paul's Hospital, University of British Columbia (Lee, Singer), Vancouver, BC; Division of Infectious Diseases, Department of Medicine (Cheng, Vinh, Lee), McGill University Health Centre, Montréal, Que.; Division of General Internal Medicine, Vancouver General Hospital; University of British Columbia (Tran), Vancouver, BC; Departments of Critical Care Medicine, Medicine and Biochemistry and Molecular Biology (Winston), Foothills Medical Centre; University of Calgary, Calgary, Alta.; Division of Critical Care Medicine (Sweet), Vancouver General Hospital; University of British Columbia; Centre for Heart Lung Innovation (Boyd, Walley, Russell), St. Paul's Hospital, University of British Columbia, Division of Critical Care Medicine, St. Paul's Hospital, University of British Columbia (Boyd, Walley, Russell), Vancouver, BC; Department of Medicine (Haljan), Surrey Memorial Hospital, Surrey, BC; Mt. Sinai Hospital and University of Toronto (McGeer), Toronto, Ont.; University of Sherbrooke (Lamontagne), Sherbrooke, Que.; Sunnybrook Health Sciences Centre (Fowler), Toronto, Ont.; Department of Critical Care, Kingston General Hospital and Queen's University (Maslove), Kingston, Ont.; British Columbia Centre for Disease Control and University of British Columbia (Patrick), Vancouver, BC; Department of Surgery (Marshall), St. Michael's Hospital, Toronto, Ont.; Division of Nephrology, Department of Medicine (Burns), Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ont.; BC Children's Hospital and University of British Columbia (Murthy), Vancouver, BC; Black Tusk Research Group (Mann, Hernandez, Donohoe), Vancouver, BC
| | - Kevin D Burns
- Centre for Health Evaluation and Outcome Science, St. Paul's Hospital, University of British Columbia (Lee, Singer), Vancouver, BC; Division of Infectious Diseases, Department of Medicine (Cheng, Vinh, Lee), McGill University Health Centre, Montréal, Que.; Division of General Internal Medicine, Vancouver General Hospital; University of British Columbia (Tran), Vancouver, BC; Departments of Critical Care Medicine, Medicine and Biochemistry and Molecular Biology (Winston), Foothills Medical Centre; University of Calgary, Calgary, Alta.; Division of Critical Care Medicine (Sweet), Vancouver General Hospital; University of British Columbia; Centre for Heart Lung Innovation (Boyd, Walley, Russell), St. Paul's Hospital, University of British Columbia, Division of Critical Care Medicine, St. Paul's Hospital, University of British Columbia (Boyd, Walley, Russell), Vancouver, BC; Department of Medicine (Haljan), Surrey Memorial Hospital, Surrey, BC; Mt. Sinai Hospital and University of Toronto (McGeer), Toronto, Ont.; University of Sherbrooke (Lamontagne), Sherbrooke, Que.; Sunnybrook Health Sciences Centre (Fowler), Toronto, Ont.; Department of Critical Care, Kingston General Hospital and Queen's University (Maslove), Kingston, Ont.; British Columbia Centre for Disease Control and University of British Columbia (Patrick), Vancouver, BC; Department of Surgery (Marshall), St. Michael's Hospital, Toronto, Ont.; Division of Nephrology, Department of Medicine (Burns), Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ont.; BC Children's Hospital and University of British Columbia (Murthy), Vancouver, BC; Black Tusk Research Group (Mann, Hernandez, Donohoe), Vancouver, BC
| | - Srinivas Murthy
- Centre for Health Evaluation and Outcome Science, St. Paul's Hospital, University of British Columbia (Lee, Singer), Vancouver, BC; Division of Infectious Diseases, Department of Medicine (Cheng, Vinh, Lee), McGill University Health Centre, Montréal, Que.; Division of General Internal Medicine, Vancouver General Hospital; University of British Columbia (Tran), Vancouver, BC; Departments of Critical Care Medicine, Medicine and Biochemistry and Molecular Biology (Winston), Foothills Medical Centre; University of Calgary, Calgary, Alta.; Division of Critical Care Medicine (Sweet), Vancouver General Hospital; University of British Columbia; Centre for Heart Lung Innovation (Boyd, Walley, Russell), St. Paul's Hospital, University of British Columbia, Division of Critical Care Medicine, St. Paul's Hospital, University of British Columbia (Boyd, Walley, Russell), Vancouver, BC; Department of Medicine (Haljan), Surrey Memorial Hospital, Surrey, BC; Mt. Sinai Hospital and University of Toronto (McGeer), Toronto, Ont.; University of Sherbrooke (Lamontagne), Sherbrooke, Que.; Sunnybrook Health Sciences Centre (Fowler), Toronto, Ont.; Department of Critical Care, Kingston General Hospital and Queen's University (Maslove), Kingston, Ont.; British Columbia Centre for Disease Control and University of British Columbia (Patrick), Vancouver, BC; Department of Surgery (Marshall), St. Michael's Hospital, Toronto, Ont.; Division of Nephrology, Department of Medicine (Burns), Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ont.; BC Children's Hospital and University of British Columbia (Murthy), Vancouver, BC; Black Tusk Research Group (Mann, Hernandez, Donohoe), Vancouver, BC
| | - Puneet K Mann
- Centre for Health Evaluation and Outcome Science, St. Paul's Hospital, University of British Columbia (Lee, Singer), Vancouver, BC; Division of Infectious Diseases, Department of Medicine (Cheng, Vinh, Lee), McGill University Health Centre, Montréal, Que.; Division of General Internal Medicine, Vancouver General Hospital; University of British Columbia (Tran), Vancouver, BC; Departments of Critical Care Medicine, Medicine and Biochemistry and Molecular Biology (Winston), Foothills Medical Centre; University of Calgary, Calgary, Alta.; Division of Critical Care Medicine (Sweet), Vancouver General Hospital; University of British Columbia; Centre for Heart Lung Innovation (Boyd, Walley, Russell), St. Paul's Hospital, University of British Columbia, Division of Critical Care Medicine, St. Paul's Hospital, University of British Columbia (Boyd, Walley, Russell), Vancouver, BC; Department of Medicine (Haljan), Surrey Memorial Hospital, Surrey, BC; Mt. Sinai Hospital and University of Toronto (McGeer), Toronto, Ont.; University of Sherbrooke (Lamontagne), Sherbrooke, Que.; Sunnybrook Health Sciences Centre (Fowler), Toronto, Ont.; Department of Critical Care, Kingston General Hospital and Queen's University (Maslove), Kingston, Ont.; British Columbia Centre for Disease Control and University of British Columbia (Patrick), Vancouver, BC; Department of Surgery (Marshall), St. Michael's Hospital, Toronto, Ont.; Division of Nephrology, Department of Medicine (Burns), Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ont.; BC Children's Hospital and University of British Columbia (Murthy), Vancouver, BC; Black Tusk Research Group (Mann, Hernandez, Donohoe), Vancouver, BC
| | - Geraldine Hernandez
- Centre for Health Evaluation and Outcome Science, St. Paul's Hospital, University of British Columbia (Lee, Singer), Vancouver, BC; Division of Infectious Diseases, Department of Medicine (Cheng, Vinh, Lee), McGill University Health Centre, Montréal, Que.; Division of General Internal Medicine, Vancouver General Hospital; University of British Columbia (Tran), Vancouver, BC; Departments of Critical Care Medicine, Medicine and Biochemistry and Molecular Biology (Winston), Foothills Medical Centre; University of Calgary, Calgary, Alta.; Division of Critical Care Medicine (Sweet), Vancouver General Hospital; University of British Columbia; Centre for Heart Lung Innovation (Boyd, Walley, Russell), St. Paul's Hospital, University of British Columbia, Division of Critical Care Medicine, St. Paul's Hospital, University of British Columbia (Boyd, Walley, Russell), Vancouver, BC; Department of Medicine (Haljan), Surrey Memorial Hospital, Surrey, BC; Mt. Sinai Hospital and University of Toronto (McGeer), Toronto, Ont.; University of Sherbrooke (Lamontagne), Sherbrooke, Que.; Sunnybrook Health Sciences Centre (Fowler), Toronto, Ont.; Department of Critical Care, Kingston General Hospital and Queen's University (Maslove), Kingston, Ont.; British Columbia Centre for Disease Control and University of British Columbia (Patrick), Vancouver, BC; Department of Surgery (Marshall), St. Michael's Hospital, Toronto, Ont.; Division of Nephrology, Department of Medicine (Burns), Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ont.; BC Children's Hospital and University of British Columbia (Murthy), Vancouver, BC; Black Tusk Research Group (Mann, Hernandez, Donohoe), Vancouver, BC
| | - Kathryn Donohoe
- Centre for Health Evaluation and Outcome Science, St. Paul's Hospital, University of British Columbia (Lee, Singer), Vancouver, BC; Division of Infectious Diseases, Department of Medicine (Cheng, Vinh, Lee), McGill University Health Centre, Montréal, Que.; Division of General Internal Medicine, Vancouver General Hospital; University of British Columbia (Tran), Vancouver, BC; Departments of Critical Care Medicine, Medicine and Biochemistry and Molecular Biology (Winston), Foothills Medical Centre; University of Calgary, Calgary, Alta.; Division of Critical Care Medicine (Sweet), Vancouver General Hospital; University of British Columbia; Centre for Heart Lung Innovation (Boyd, Walley, Russell), St. Paul's Hospital, University of British Columbia, Division of Critical Care Medicine, St. Paul's Hospital, University of British Columbia (Boyd, Walley, Russell), Vancouver, BC; Department of Medicine (Haljan), Surrey Memorial Hospital, Surrey, BC; Mt. Sinai Hospital and University of Toronto (McGeer), Toronto, Ont.; University of Sherbrooke (Lamontagne), Sherbrooke, Que.; Sunnybrook Health Sciences Centre (Fowler), Toronto, Ont.; Department of Critical Care, Kingston General Hospital and Queen's University (Maslove), Kingston, Ont.; British Columbia Centre for Disease Control and University of British Columbia (Patrick), Vancouver, BC; Department of Surgery (Marshall), St. Michael's Hospital, Toronto, Ont.; Division of Nephrology, Department of Medicine (Burns), Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ont.; BC Children's Hospital and University of British Columbia (Murthy), Vancouver, BC; Black Tusk Research Group (Mann, Hernandez, Donohoe), Vancouver, BC
| | - James A Russell
- Centre for Health Evaluation and Outcome Science, St. Paul's Hospital, University of British Columbia (Lee, Singer), Vancouver, BC; Division of Infectious Diseases, Department of Medicine (Cheng, Vinh, Lee), McGill University Health Centre, Montréal, Que.; Division of General Internal Medicine, Vancouver General Hospital; University of British Columbia (Tran), Vancouver, BC; Departments of Critical Care Medicine, Medicine and Biochemistry and Molecular Biology (Winston), Foothills Medical Centre; University of Calgary, Calgary, Alta.; Division of Critical Care Medicine (Sweet), Vancouver General Hospital; University of British Columbia; Centre for Heart Lung Innovation (Boyd, Walley, Russell), St. Paul's Hospital, University of British Columbia, Division of Critical Care Medicine, St. Paul's Hospital, University of British Columbia (Boyd, Walley, Russell), Vancouver, BC; Department of Medicine (Haljan), Surrey Memorial Hospital, Surrey, BC; Mt. Sinai Hospital and University of Toronto (McGeer), Toronto, Ont.; University of Sherbrooke (Lamontagne), Sherbrooke, Que.; Sunnybrook Health Sciences Centre (Fowler), Toronto, Ont.; Department of Critical Care, Kingston General Hospital and Queen's University (Maslove), Kingston, Ont.; British Columbia Centre for Disease Control and University of British Columbia (Patrick), Vancouver, BC; Department of Surgery (Marshall), St. Michael's Hospital, Toronto, Ont.; Division of Nephrology, Department of Medicine (Burns), Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ont.; BC Children's Hospital and University of British Columbia (Murthy), Vancouver, BC; Black Tusk Research Group (Mann, Hernandez, Donohoe), Vancouver, BC
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24
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Relan P, Motaze NV, Kothari K, Askie L, Le Polain O, Van Kerkhove MD, Diaz J, Tirupakuzhi Vijayaraghavan BK. Severity and outcomes of Omicron variant of SARS-CoV-2 compared to Delta variant and severity of Omicron sublineages: a systematic review and metanalysis. BMJ Glob Health 2023; 8:e012328. [PMID: 37419502 PMCID: PMC10347449 DOI: 10.1136/bmjgh-2023-012328] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 06/16/2023] [Indexed: 07/09/2023] Open
Abstract
OBJECTIVES To compare severity and clinical outcomes from Omicron as compared with the Delta variant and to compare outcomes between Omicron sublineages. METHODS We searched the WHO COVID-19 Research database for studies that compared clinical outcomes for patients with Omicron variant and the Delta variant, and separately Omicron sublineages BA.1 and BA.2. A random-effects meta-analysis was used to pool estimates of relative risk (RR) between variants and sublineages. Heterogeneity between studies was assessed using the I2 index. Risk of bias was assessed using the tool developed by the Clinical Advances through Research and Information Translation team. RESULTS Our search identified 1494 studies and 42 met the inclusion criteria. Eleven studies were published as preprints. Of the 42 studies, 29 adjusted for vaccination status; 12 had no adjustment; and for 1, the adjustment was unclear. Three of the included studies compared the sublineages of Omicron BA.1 versus BA.2. As compared with Delta, individuals infected with Omicron had 61% lower risk of death (RR 0.39, 95% CI 0.33 to 0.46) and 56% lower risk of hospitalisation (RR 0.44, 95% CI 0.34 to 0.56). Omicron was similarly associated with lower risk of intensive care unit (ICU) admission, oxygen therapy, and non-invasive and invasive ventilation. The pooled risk ratio for the outcome of hospitalisation when comparing sublineages BA.1 versus BA.2 was 0.55 (95% 0.23 to 1.30). DISCUSSION Omicron variant was associated with lower risk of hospitalisation, ICU admission, oxygen therapy, ventilation and death as compared with Delta. There was no difference in the risk of hospitalisation between Omicron sublineages BA.1 and BA.2. PROSPERO REGISTRATION NUMBER CRD42022310880.
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Affiliation(s)
- Pryanka Relan
- Health Emergencies Programme, WHO, Geneva, Switzerland
| | - Nkengafac Villyen Motaze
- Health Emergencies Programme, WHO, Geneva, Switzerland
- Medicine Usage in South Africa, School of Pharmacy, Faculty of Health Sciences, North-West University, Potchefstroom, South Africa
| | - Kavita Kothari
- Library and Digital Information Networks, World Health Organization, Kobe, Japan
| | - Lisa Askie
- Methods and Standards Unit, Science Division, World Health Organization, Geneva, Switzerland
| | - Olivier Le Polain
- Acute Response Coordination Department, World Health Organization, Geneva, Switzerland
| | - Maria D Van Kerkhove
- COVID-19 Health Operations, World Health Emergencies Programme, World Health Organization, Geneva, Switzerland
| | - Janet Diaz
- Health Emergencies Programme, WHO, Geneva, Switzerland
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25
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Candel FJ, Barreiro P, Salavert M, Cabello A, Fernández-Ruiz M, Pérez-Segura P, San Román J, Berenguer J, Córdoba R, Delgado R, España PP, Gómez-Centurión IA, González Del Castillo JM, Heili SB, Martínez-Peromingo FJ, Menéndez R, Moreno S, Pablos JL, Pasquau J, Piñana JL, On Behalf Of The Modus Investigators Adenda. Expert Consensus: Main Risk Factors for Poor Prognosis in COVID-19 and the Implications for Targeted Measures against SARS-CoV-2. Viruses 2023; 15:1449. [PMID: 37515137 PMCID: PMC10383267 DOI: 10.3390/v15071449] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 06/17/2023] [Accepted: 06/23/2023] [Indexed: 07/30/2023] Open
Abstract
The clinical evolution of patients infected with the Severe Acute Respiratory Coronavirus type 2 (SARS-CoV-2) depends on the complex interplay between viral and host factors. The evolution to less aggressive but better-transmitted viral variants, and the presence of immune memory responses in a growing number of vaccinated and/or virus-exposed individuals, has caused the pandemic to slowly wane in virulence. However, there are still patients with risk factors or comorbidities that put them at risk of poor outcomes in the event of having the coronavirus infectious disease 2019 (COVID-19). Among the different treatment options for patients with COVID-19, virus-targeted measures include antiviral drugs or monoclonal antibodies that may be provided in the early days of infection. The present expert consensus is based on a review of all the literature published between 1 July 2021 and 15 February 2022 that was carried out to establish the characteristics of patients, in terms of presence of risk factors or comorbidities, that may make them candidates for receiving any of the virus-targeted measures available in order to prevent a fatal outcome, such as severe disease or death. A total of 119 studies were included from the review of the literature and 159 were from the additional independent review carried out by the panelists a posteriori. Conditions found related to strong recommendation of the use of virus-targeted measures in the first days of COVID-19 were age above 80 years, or above 65 years with another risk factor; antineoplastic chemotherapy or active malignancy; HIV infection with CD4+ cell counts < 200/mm3; and treatment with anti-CD20 immunosuppressive drugs. There is also a strong recommendation against using the studied interventions in HIV-infected patients with a CD4+ nadir <200/mm3 or treatment with other immunosuppressants. Indications of therapies against SARS-CoV-2, regardless of vaccination status or history of infection, may still exist for some populations, even after COVID-19 has been declared to no longer be a global health emergency by the WHO.
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Affiliation(s)
- Francisco Javier Candel
- Clinical Microbiology & Infectious Diseases, Transplant Coordination, Hospital Clínico Universitario San Carlos, 28040 Madrid, Spain
| | - Pablo Barreiro
- Regional Public Health Laboratory, Infectious Diseases, Internal Medicine, Hospital General Universitario La Paz, 28055 Madrid, Spain
- Department of Medical Specialities and Public Health, Universidad Rey Juan Carlos, 28922 Madrid, Spain
| | - Miguel Salavert
- Infectious Diseases, Internal Medicine, Hospital Universitario y Politécnico La Fe, 46026 Valencia, Spain
| | - Alfonso Cabello
- Internal Medicine, Hospital Universitario Fundación Jiménez Díaz, 28040 Madrid, Spain
| | - Mario Fernández-Ruiz
- Unit of Infectious Diseases, Hospital Universitario "12 de Octubre", Instituto de Investigación Sanitaria Hospital "12 de Octubre" (imas12), Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III (ISCIII), 28041 Madrid, Spain
| | - Pedro Pérez-Segura
- Medical Oncology, Hospital Clínico Universitario San Carlos, 28040 Madrid, Spain
| | - Jesús San Román
- Department of Medical Specialities and Public Health, Universidad Rey Juan Carlos, 28922 Madrid, Spain
| | - Juan Berenguer
- Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), 28007 Madrid, Spain
| | - Raúl Córdoba
- Haematology and Haemotherapy, Hospital Universitario Fundación Jiménez Díaz, 28040 Madrid, Spain
| | - Rafael Delgado
- Clinical Microbiology, Hospital Universitario "12 de Octubre", Instituto de Investigación Sanitaria Hospital "12 de Octubre" (imas12), 28041 Madrid, Spain
| | - Pedro Pablo España
- Pneumology, Hospital Universitario de Galdakao-Usansolo, 48960 Vizcaya, Spain
| | | | | | - Sarah Béatrice Heili
- Intermediate Respiratory Care Unit, Hospital Universitario Fundación Jiménez Díaz, 28040 Madrid, Spain
| | - Francisco Javier Martínez-Peromingo
- Department of Medical Specialities and Public Health, Universidad Rey Juan Carlos, 28922 Madrid, Spain
- Geriatrics, Hospital Universitario Rey Juan Carlos, 28933 Madrid, Spain
| | - Rosario Menéndez
- Pneumology, Hospital Universitario y Politécnico La Fe, 46026 Valencia, Spain
| | - Santiago Moreno
- Infectious Diseases, Hospital Universitario Ramón y Cajal, 28034 Madrid, Spain
| | - José Luís Pablos
- Rheumatology, Hospital Universitario "12 de Octubre", Instituto de Investigación Sanitaria Hospital "12 de Octubre" (imas12), 28041 Madrid, Spain
| | - Juan Pasquau
- Infectious Diseases, Hospital Universitario Virgen de las Nieves, 18014 Granada, Spain
| | - José Luis Piñana
- Haematology and Haemotherapy, Hospital Clínico Universitario de Valencia, 46010 Valencia, Spain
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26
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Arabi M, Al-Najjar Y, Sharma O, Kamal I, Javed A, Gohil HS, Paul P, Al-Khalifa AM, Laws S, Zakaria D. Role of previous infection with SARS-CoV-2 in protecting against omicron reinfections and severe complications of COVID-19 compared to pre-omicron variants: a systematic review. BMC Infect Dis 2023; 23:432. [PMID: 37365490 DOI: 10.1186/s12879-023-08328-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 05/13/2023] [Indexed: 06/28/2023] Open
Abstract
BACKGROUND The SARS-CoV-2 virus elicited a major public concern worldwide since December 2019 due to the high number of infections and deaths caused by COVID-19. The Omicron variant was detected in October 2021 which evolved from the wild-type SARS-CoV-2 and was found to possess many mutations. Omicron exhibited high transmissibility and immune evasion as well as reduced severity when compared to the earlier variants. Although vaccinated individuals were largely protected against infections in previous waves, the high prevalence of both reinfections and breakthrough infections with Omicron was observed. The aim of this review is to understand the effectiveness of previous infection on subsequent reinfection, given its significance in driving public health policy, including vaccination prioritization and lockdown requirements. METHODS A comprehensive literature search was conducted using several databases to target studies reporting data related to the effectiveness of the previous infection with SARS-CoV-2 in protecting against the Omicron variant. Screening of the studies, quality assessment and data extraction were conducted by two reviewers for each study. RESULTS Only 27 studies met our inclusion criteria. It was observed that previous infection was less effective in preventing reinfections with the Omicron variant compared to the Delta variant irrespective of vaccination status. Furthermore, being fully vaccinated with a booster dose provided additional protection from the Omicron variant. Additionally, most infections caused by Omicron were asymptomatic or mild and rarely resulted in hospitalizations or death in comparison to the Delta wave. CONCLUSION A majority of the studies reached a consensus that although previous infection provides some degree of immunity against Omicron reinfection, it is much lower in comparison to Delta. Full vaccination with two doses was more protective against Delta than Omicron. Receiving a booster dose provided additional protection against Omicron. It is therefore clear that neither vaccination nor previous infection alone provide optimal protection; hybrid immunity has shown the best results in terms of protecting against either Omicron or Delta variants. However, additional research is needed to quantify how long immunity from vaccination versus previous infection lasts and whether individuals will benefit from variant-specific vaccinations to enhance protection from infection.
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Affiliation(s)
- Maryam Arabi
- Weill Cornell Medicine Qatar, Qatar Foundation, Education City, Al Luqta St. Ar-Rayyan, P.O. Box 24144, Doha, Qatar
| | - Yousef Al-Najjar
- Weill Cornell Medicine Qatar, Qatar Foundation, Education City, Al Luqta St. Ar-Rayyan, P.O. Box 24144, Doha, Qatar
| | - Omna Sharma
- Weill Cornell Medicine Qatar, Qatar Foundation, Education City, Al Luqta St. Ar-Rayyan, P.O. Box 24144, Doha, Qatar
| | - Ibtihal Kamal
- Weill Cornell Medicine Qatar, Qatar Foundation, Education City, Al Luqta St. Ar-Rayyan, P.O. Box 24144, Doha, Qatar
| | - Aimen Javed
- Weill Cornell Medicine Qatar, Qatar Foundation, Education City, Al Luqta St. Ar-Rayyan, P.O. Box 24144, Doha, Qatar
| | - Harsh S Gohil
- Weill Cornell Medicine Qatar, Qatar Foundation, Education City, Al Luqta St. Ar-Rayyan, P.O. Box 24144, Doha, Qatar
| | - Pradipta Paul
- Weill Cornell Medicine Qatar, Qatar Foundation, Education City, Al Luqta St. Ar-Rayyan, P.O. Box 24144, Doha, Qatar
| | - Aljazi M Al-Khalifa
- Weill Cornell Medicine Qatar, Qatar Foundation, Education City, Al Luqta St. Ar-Rayyan, P.O. Box 24144, Doha, Qatar
| | - Sa'ad Laws
- Weill Cornell Medicine Qatar, Qatar Foundation, Education City, Al Luqta St. Ar-Rayyan, P.O. Box 24144, Doha, Qatar
| | - Dalia Zakaria
- Weill Cornell Medicine Qatar, Qatar Foundation, Education City, Al Luqta St. Ar-Rayyan, P.O. Box 24144, Doha, Qatar.
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Kassanjee R, Davies M, Ngwenya O, Osei‐Yeboah R, Jacobs T, Morden E, Timmerman V, Britz S, Mendelson M, Taljaard J, Riou J, Boulle A, Tiffin N, Zinyakatira N. COVID-19 among adults living with HIV: correlates of mortality among public sector healthcare users in Western Cape, South Africa. J Int AIDS Soc 2023; 26:e26104. [PMID: 37339333 PMCID: PMC10281639 DOI: 10.1002/jia2.26104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 05/02/2023] [Indexed: 06/22/2023] Open
Abstract
INTRODUCTION While a large proportion of people with HIV (PWH) have experienced SARS-CoV-2 infections, there is uncertainty about the role of HIV disease severity on COVID-19 outcomes, especially in lower-income settings. We studied the association of mortality with characteristics of HIV severity and management, and vaccination, among adult PWH. METHODS We analysed observational cohort data on all PWH aged ≥15 years experiencing a diagnosed SARS-CoV-2 infection (until March 2022), who accessed public sector healthcare in the Western Cape province of South Africa. Logistic regression was used to study the association of mortality with evidence of antiretroviral therapy (ART) collection, time since first HIV evidence, CD4 cell count, viral load (among those with evidence of ART collection) and COVID-19 vaccination, adjusting for demographic characteristics, comorbidities, admission pressure, location and time period. RESULTS Mortality occurred in 5.7% (95% CI: 5.3,6.0) of 17,831 first-diagnosed infections. Higher mortality was associated with lower recent CD4, no evidence of ART collection, high or unknown recent viral load and recent first HIV evidence, differentially by age. Vaccination was protective. The burden of comorbidities was high, and tuberculosis (especially more recent episodes of tuberculosis), chronic kidney disease, diabetes and hypertension were associated with higher mortality, more strongly in younger adults. CONCLUSIONS Mortality was strongly associated with suboptimal HIV control, and the prevalence of these risk factors increased in later COVID-19 waves. It remains a public health priority to ensure PWH are on suppressive ART and vaccinated, and manage any disruptions in care that occurred during the pandemic. The diagnosis and management of comorbidities, including for tuberculosis, should be optimized.
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Affiliation(s)
- Reshma Kassanjee
- School of Public HealthUniversity of Cape TownCape TownSouth Africa
| | - Mary‐Ann Davies
- School of Public HealthUniversity of Cape TownCape TownSouth Africa
- Department of HealthWestern Cape GovernmentCape TownSouth Africa
| | - Olina Ngwenya
- Wellcome Centre for Infectious Disease Research in AfricaInstitute of Infectious Diseases and Molecular MedicineUniversity of Cape TownCape TownSouth Africa
| | - Richard Osei‐Yeboah
- Division of Computational BiologyIntegrative Biomedical Sciences DepartmentFaculty of Health SciencesUniversity of Cape TownCape TownSouth Africa
| | - Theuns Jacobs
- Department of HealthWestern Cape GovernmentCape TownSouth Africa
| | - Erna Morden
- School of Public HealthUniversity of Cape TownCape TownSouth Africa
- Department of HealthWestern Cape GovernmentCape TownSouth Africa
| | - Venessa Timmerman
- School of Public HealthUniversity of Cape TownCape TownSouth Africa
- Department of HealthWestern Cape GovernmentCape TownSouth Africa
| | - Stefan Britz
- Department of Statistical SciencesUniversity of Cape TownCape TownSouth Africa
| | - Marc Mendelson
- Division of Infectious Diseases and HIV MedicineDepartment of MedicineGroote Schuur HospitalUniversity of Cape TownCape TownSouth Africa
| | - Jantjie Taljaard
- Division of Infectious DiseasesDepartment of MedicineTygerberg HospitalStellenbosch UniversityCape TownSouth Africa
| | - Julien Riou
- Institute of Social and Preventive MedicineUniversity of BernBernSwitzerland
| | - Andrew Boulle
- School of Public HealthUniversity of Cape TownCape TownSouth Africa
- Department of HealthWestern Cape GovernmentCape TownSouth Africa
| | - Nicki Tiffin
- South African National Bioinformatics InstituteUniversity of the Western CapeCape TownSouth Africa
| | - Nesbert Zinyakatira
- School of Public HealthUniversity of Cape TownCape TownSouth Africa
- Department of HealthWestern Cape GovernmentCape TownSouth Africa
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28
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Robinson ML, Morris CP, Betz JF, Zhang Y, Bollinger R, Wang N, Thiemann DR, Fall A, Eldesouki RE, Norton JM, Gaston DC, Forman M, Luo CH, Zeger SL, Gupta A, Garibaldi BT, Mostafa HH. Impact of Severe Acute Respiratory Syndrome Coronavirus 2 Variants on Inpatient Clinical Outcome. Clin Infect Dis 2023; 76:1539-1549. [PMID: 36528815 PMCID: PMC10411930 DOI: 10.1093/cid/ciac957] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Revised: 11/21/2022] [Accepted: 12/15/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Prior observation has shown differences in COVID-19 hospitalization risk between SARS-CoV-2 variants, but limited information describes hospitalization outcomes. METHODS Inpatients with COVID-19 at 5 hospitals in the eastern United States were included if they had hypoxia, tachypnea, tachycardia, or fever, and SARS-CoV-2 variant data, determined from whole-genome sequencing or local surveillance inference. Analyses were stratified by history of SARS-CoV-2 vaccination or infection. The average effect of SARS-CoV-2 variant on 28-day risk of severe disease, defined by advanced respiratory support needs, or death was evaluated using models weighted on propensity scores derived from baseline clinical features. RESULTS Severe disease or death within 28 days occurred for 977 (29%) of 3369 unvaccinated patients and 269 (22%) of 1230 patients with history of vaccination or prior SARS-CoV-2 infection. Among unvaccinated patients, the relative risk of severe disease or death for Delta variant compared with ancestral lineages was 1.30 (95% confidence interval [CI]: 1.11-1.49). Compared with Delta, the risk for Omicron patients was .72 (95% CI: .59-.88) and compared with ancestral lineages was .94 (.78-1.1). Among Omicron and Delta infections, patients with history of vaccination or prior SARS-CoV-2 infection had half the risk of severe disease or death (adjusted hazard ratio: .40; 95% CI: .30-.54), but no significant outcome difference by variant. CONCLUSIONS Although risk of severe disease or death for unvaccinated inpatients with Omicron was lower than with Delta, it was similar to ancestral lineages. Severe outcomes were less common in vaccinated inpatients, with no difference between Delta and Omicron infections.
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Affiliation(s)
- Matthew L Robinson
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - C Paul Morris
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Joshua F Betz
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Yifan Zhang
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Robert Bollinger
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Natalie Wang
- Krieger School of Arts & Sciences, Johns Hopkins University, Baltimore, Maryland, USA
| | - David R Thiemann
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Amary Fall
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Raghda E Eldesouki
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Julie M Norton
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - David C Gaston
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Michael Forman
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Chun Huai Luo
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Scott L Zeger
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Amita Gupta
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Brian T Garibaldi
- Division of Pulmonary and Critical Care, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Heba H Mostafa
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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29
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Arantes I, Bello G, Nascimento V, Souza V, da Silva A, Silva D, Nascimento F, Mejía M, Brandão MJ, Gonçalves L, Silva G, da Costa CF, Abdalla L, Santos JH, Ramos TCA, Piantham C, Ito K, Siqueira MM, Resende PC, Wallau GL, Delatorre E, Gräf T, Naveca FG. Comparative epidemic expansion of SARS-CoV-2 variants Delta and Omicron in the Brazilian State of Amazonas. Nat Commun 2023; 14:2048. [PMID: 37041143 PMCID: PMC10089528 DOI: 10.1038/s41467-023-37541-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 03/21/2023] [Indexed: 04/13/2023] Open
Abstract
The SARS-CoV-2 variants of concern (VOCs) Delta and Omicron spread globally during mid and late 2021, respectively. In this study, we compare the dissemination dynamics of these VOCs in the Amazonas state, one of Brazil's most heavily affected regions. We sequenced the virus genome from 4128 patients collected in Amazonas between July 1st, 2021, and January 31st, 2022, and investigated the viral dynamics using a phylodynamic approach. The VOCs Delta and Omicron BA.1 displayed similar patterns of phylogeographic spread but different epidemic dynamics. The replacement of Gamma by Delta was gradual and occurred without an upsurge of COVID-19 cases, while the rise of Omicron BA.1 was extremely fast and fueled a sharp increase in cases. Thus, the dissemination dynamics and population-level impact of new SARS-CoV-2 variants introduced in the Amazonian population after mid-2021, a setting with high levels of acquired immunity, greatly vary according to their viral phenotype.
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Affiliation(s)
- Ighor Arantes
- Laboratório de AIDS e Imunologia Molecular, Instituto Oswaldo Cruz, Fiocruz, Rio de Janeiro, Brazil
- Laboratório de Vírus Respiratórios, Exantemáticos, Enterovírus e Emergências Virais, Instituto Oswaldo Cruz, Fiocruz, Rio de Janeiro, Brazil
| | - Gonzalo Bello
- Laboratório de AIDS e Imunologia Molecular, Instituto Oswaldo Cruz, Fiocruz, Rio de Janeiro, Brazil.
| | - Valdinete Nascimento
- Laboratório de Ecologia de Doenças Transmissíveis na Amazônia, Instituto Leônidas e Maria Deane, Fiocruz, Manaus, Brazil
| | - Victor Souza
- Laboratório de Ecologia de Doenças Transmissíveis na Amazônia, Instituto Leônidas e Maria Deane, Fiocruz, Manaus, Brazil
| | - Arlesson da Silva
- Laboratório de Ecologia de Doenças Transmissíveis na Amazônia, Instituto Leônidas e Maria Deane, Fiocruz, Manaus, Brazil
| | - Dejanane Silva
- Laboratório de Ecologia de Doenças Transmissíveis na Amazônia, Instituto Leônidas e Maria Deane, Fiocruz, Manaus, Brazil
| | - Fernanda Nascimento
- Laboratório de Ecologia de Doenças Transmissíveis na Amazônia, Instituto Leônidas e Maria Deane, Fiocruz, Manaus, Brazil
| | - Matilde Mejía
- Laboratório de Ecologia de Doenças Transmissíveis na Amazônia, Instituto Leônidas e Maria Deane, Fiocruz, Manaus, Brazil
| | - Maria Júlia Brandão
- Laboratório de Ecologia de Doenças Transmissíveis na Amazônia, Instituto Leônidas e Maria Deane, Fiocruz, Manaus, Brazil
| | - Luciana Gonçalves
- Laboratório de Ecologia de Doenças Transmissíveis na Amazônia, Instituto Leônidas e Maria Deane, Fiocruz, Manaus, Brazil
- Fundação de Vigilância em Saúde do Amazonas - Dra Rosemary Costa Pinto, Manaus, Brazil
| | - George Silva
- Laboratório de Ecologia de Doenças Transmissíveis na Amazônia, Instituto Leônidas e Maria Deane, Fiocruz, Manaus, Brazil
- Fundação Centro de Controle de Oncologia do Estado do Amazonas, Manaus, Brazil
| | - Cristiano Fernandes da Costa
- Fundação de Vigilância em Saúde do Amazonas - Dra Rosemary Costa Pinto, Manaus, Brazil
- Conselho de Secretários Municipais de Saúde do Amazonas COSEMS - AM, Manaus, Brazil
| | | | | | | | - Chayada Piantham
- Graduate School of Infectious Diseases, Hokkaido University, Hokkaido, Japan
| | - Kimihito Ito
- International Institute for Zoonosis Control, Hokkaido University, Hokkaido, Japan
| | - Marilda Mendonça Siqueira
- Laboratório de Vírus Respiratórios, Exantemáticos, Enterovírus e Emergências Virais, Instituto Oswaldo Cruz, Fiocruz, Rio de Janeiro, Brazil
| | - Paola Cristina Resende
- Laboratório de Vírus Respiratórios, Exantemáticos, Enterovírus e Emergências Virais, Instituto Oswaldo Cruz, Fiocruz, Rio de Janeiro, Brazil
| | - Gabriel Luz Wallau
- Instituto Aggeu Magalhães, Fundação Oswaldo Cruz, Recife, Brazil
- Department of Arbovirology, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany
| | - Edson Delatorre
- Departamento de Biologia, Centro de Ciências Exatas, Naturais e da Saúde, Universidade Federal do Espírito Santo, Alegre, Brazil
| | - Tiago Gräf
- Laboratório de Virologia Molecular, Instituto Carlos Chagas, Fiocruz, Curitiba, Brazil
| | - Felipe Gomes Naveca
- Laboratório de Ecologia de Doenças Transmissíveis na Amazônia, Instituto Leônidas e Maria Deane, Fiocruz, Manaus, Brazil.
- Laboratório de Arbovírus e Vírus Hemorrágicos, Instituto Oswaldo Cruz, Fiocruz, Rio de Janeiro, Brazil.
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30
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Morris CP, Eldesouki RE, Sachithanandham J, Fall A, Norton JM, Abdullah O, Gallagher N, Li M, Pekosz A, Klein EY, Mostafa HH. Omicron Subvariants: Clinical, Laboratory, and Cell Culture Characterization. Clin Infect Dis 2023; 76:1276-1284. [PMID: 36366857 PMCID: PMC10069846 DOI: 10.1093/cid/ciac885] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 10/25/2022] [Accepted: 11/08/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The variant of concern Omicron has become the sole circulating severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variant for the past several months. Omicron subvariants BA.1, BA.2, BA.3, BA.4, and BA.5 evolved over the time, with BA.1 causing the largest wave of infections globally in December 2021-January 2022. This study compared the clinical outcomes in patients infected with different Omicron subvariants and the relative viral loads and recovery of infectious virus from upper respiratory specimens. METHODS SARS-CoV-2-positive remnant clinical specimens, diagnosed at the Johns Hopkins Microbiology Laboratory between December 2021 and July 2022, were used for whole-genome sequencing. The clinical outcomes of infections with Omicron subvariants were compared with infections with BA.1. Cycle threshold (Ct) values and the recovery of infectious virus on the VeroTMPRSS2 cell line from clinical specimens were compared. RESULTS BA.1 was associated with the largest increase in SARS-CoV-2 positivity rate and coronavirus disease 2019 (COVID-19)-related hospitalizations at the Johns Hopkins system. After a peak in January, cases decreased in the spring, but the emergence of BA.2.12.1 followed by BA.5 in May 2022 led to an increase in case positivity and admissions. BA.1 infections had a lower mean Ct value when compared with other Omicron subvariants. BA.5 samples had a greater likelihood of having infectious virus at Ct values <20. CONCLUSIONS Omicron subvariants continue to be associated with a relatively high rate of polymerase chain reaction (PCR) positivity and hospital admissions. The BA.5 infections are more while BA.2 infections are less likely to have infectious virus, suggesting potential differences in infectibility during the Omicron waves.
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Affiliation(s)
- C Paul Morris
- Division of Medical Microbiology, Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
- National Institute of Allergy and Infectious Disease, National Institutes of Health, Rockville, Maryland, USA
| | - Raghda E Eldesouki
- Division of Medical Microbiology, Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
- Department of Histology, Genetics Unit, School of Medicine, Suez Canal University, Ismailia, Egypt
| | - Jaiprasath Sachithanandham
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Amary Fall
- Division of Medical Microbiology, Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Julie M Norton
- Division of Medical Microbiology, Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Omar Abdullah
- Division of Medical Microbiology, Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Nicholas Gallagher
- Division of Medical Microbiology, Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Maggie Li
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Andrew Pekosz
- W. Harry Feinstone Department of Molecular Microbiology and Immunology, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Department of Emergency Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Eili Y Klein
- Department of Emergency Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
- Center for Disease Dynamics, Economics, and Policy, Washington, DC, USA
| | - Heba H Mostafa
- Division of Medical Microbiology, Department of Pathology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
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31
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Metzler M, Tharyan RG, Klann K, Grikscheit K, Bojkova D, Cinatl J, Tascher G, Ciesek S, Münch C. SARS-CoV-2 variants show different host cell proteome profiles with delayed immune response activation in Omicron-infected cells. Mol Cell Proteomics 2023; 22:100537. [PMID: 37001587 PMCID: PMC10060015 DOI: 10.1016/j.mcpro.2023.100537] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 02/21/2023] [Accepted: 03/24/2023] [Indexed: 03/31/2023] Open
Abstract
The ancestral SARS-CoV-2 strain that initiated the Covid-19 pandemic at the end of 2019 has rapidly mutated into multiple variants of concern with variable pathogenicity and increasing immune escape strategies. However, differences in host cellular antiviral responses upon infection with SARS-CoV-2 variants remains elusive. Leveraging whole cell proteomics, we determined host signalling pathways that are differentially modulated upon infection with the clinical isolates of the ancestral SARS-CoV-2 B.1 and the variants of concern Delta and Omicron BA.1. Our findings illustrate alterations in the global host proteome landscape upon infection with SARS-CoV-2 variants and the resulting host immune responses. Additionally, viral proteome kinetics reveal declining levels of viral protein expression during Omicron BA.1 infection when compared to ancestral B.1 and Delta variants, consistent with its reduced replication rates. Moreover, molecular assays reveal deferral activation of specific host antiviral signalling upon Omicron BA.1 and BA.2 infections. Our study provides an overview of host proteome profile of multiple SARS-CoV-2 variants and brings forth a better understanding of the instigation of key immune signalling pathways causative for the differential pathogenicity of SARS-CoV-2 variants.
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Affiliation(s)
- Melinda Metzler
- Institute of Medical Virology, University Hospital Frankfurt, Goethe University, Frankfurt, Germany
| | - Rebecca George Tharyan
- Institute of Biochemistry II, Faculty of Medicine, Goethe University, Frankfurt, Germany
| | - Kevin Klann
- Institute of Biochemistry II, Faculty of Medicine, Goethe University, Frankfurt, Germany
| | - Katharina Grikscheit
- Institute of Medical Virology, University Hospital Frankfurt, Goethe University, Frankfurt, Germany
| | - Denisa Bojkova
- Institute of Medical Virology, University Hospital Frankfurt, Goethe University, Frankfurt, Germany
| | - Jindrich Cinatl
- Institute of Medical Virology, University Hospital Frankfurt, Goethe University, Frankfurt, Germany
| | - Georg Tascher
- Institute of Biochemistry II, Faculty of Medicine, Goethe University, Frankfurt, Germany
| | - Sandra Ciesek
- Institute of Medical Virology, University Hospital Frankfurt, Goethe University, Frankfurt, Germany; Fraunhofer Institute for Translational Medicine and Pharmacology (ITMP), Frankfurt, Germany; German Center for Infection Research, DZIF, External Partner Site, Frankfurt, Germany
| | - Christian Münch
- Institute of Biochemistry II, Faculty of Medicine, Goethe University, Frankfurt, Germany; Frankfurt Cancer Institute, Goethe University, Frankfurt, Germany; Cardio-Pulmonary Institute, Goethe University, Frankfurt, Germany.
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32
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Kislaya I, Casaca P, Borges V, Sousa C, Ferreira BI, Fonte A, Fernandes E, Dias CM, Duarte S, Almeida JP, Grenho I, Coelho L, Ferreira R, Ferreira PP, Borges CM, Isidro J, Pinto M, Menezes L, Sobral D, Nunes A, Santos D, Gonçalves AM, Vieira L, Gomes JP, Leite PP, Nunes B, Machado A, Peralta-Santos A. Comparative Effectiveness of COVID-19 Vaccines in Preventing Infections and Disease Progression from SARS-CoV-2 Omicron BA.5 and BA.2, Portugal. Emerg Infect Dis 2023; 29:569-575. [PMID: 36737101 PMCID: PMC9973705 DOI: 10.3201/eid2903.221367] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
We estimated comparative primary and booster vaccine effectiveness (VE) of SARS-CoV-2 Omicron BA.5 and BA.2 lineages against infection and disease progression. During April-June 2022, we implemented a case-case and cohort study and classified lineages using whole-genome sequencing or spike gene target failure. For the case-case study, we estimated the adjusted odds ratios (aORs) of vaccination using a logistic regression. For the cohort study, we estimated VE against disease progression using a penalized logistic regression. We observed no reduced VE for primary (aOR 1.07 [95% CI 0.93-1.23]) or booster (aOR 0.96 [95% CI 0.84-1.09]) vaccination against BA.5 infection. Among BA.5 case-patients, booster VE against progression to hospitalization was lower than that among BA.2 case-patients (VE 77% [95% CI 49%-90%] vs. VE 93% [95% CI 86%-97%]). Although booster vaccination is less effective against BA.5 than against BA.2, it offers substantial protection against progression from BA.5 infection to severe disease.
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Affiliation(s)
| | | | - Vítor Borges
- Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal (I. Kislaya, V. Borges, C. Matias Dias, S. Duarte, L. Coelho, R. Ferreira, J. Isidro, M. Pinto, D. Sobral, A. Nunes, D. Santos, L. Vieira, J.P. Gomes, B. Nunes, A. Machado)
- Comprehensive Health Research Centre, Lisbon (I. Kislaya, C. Matias Dias, B. Nunes, A. Machado, A. Peralta-Santos)
- Direção-Geral da Saúde, Lisbon (P. Casaca, E. Fernandes, P. Pita Ferreira, P. Pinto Leite, A. Peralta-Santos)
- Unilabs, Porto, Portugal (C. Sousa, J.P. Almeida, L. Menezes, A. Maia Gonçalves)
- Algarve Biomedical Center Research Institute, Faro, Portugal (B.I. Ferreira, I. Grenho)
- Administração Central do Sistema de Saúde, Lisbon (A. Fonte, C.M. Borges)
| | - Carlos Sousa
- Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal (I. Kislaya, V. Borges, C. Matias Dias, S. Duarte, L. Coelho, R. Ferreira, J. Isidro, M. Pinto, D. Sobral, A. Nunes, D. Santos, L. Vieira, J.P. Gomes, B. Nunes, A. Machado)
- Comprehensive Health Research Centre, Lisbon (I. Kislaya, C. Matias Dias, B. Nunes, A. Machado, A. Peralta-Santos)
- Direção-Geral da Saúde, Lisbon (P. Casaca, E. Fernandes, P. Pita Ferreira, P. Pinto Leite, A. Peralta-Santos)
- Unilabs, Porto, Portugal (C. Sousa, J.P. Almeida, L. Menezes, A. Maia Gonçalves)
- Algarve Biomedical Center Research Institute, Faro, Portugal (B.I. Ferreira, I. Grenho)
- Administração Central do Sistema de Saúde, Lisbon (A. Fonte, C.M. Borges)
| | - Bibiana I. Ferreira
- Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal (I. Kislaya, V. Borges, C. Matias Dias, S. Duarte, L. Coelho, R. Ferreira, J. Isidro, M. Pinto, D. Sobral, A. Nunes, D. Santos, L. Vieira, J.P. Gomes, B. Nunes, A. Machado)
- Comprehensive Health Research Centre, Lisbon (I. Kislaya, C. Matias Dias, B. Nunes, A. Machado, A. Peralta-Santos)
- Direção-Geral da Saúde, Lisbon (P. Casaca, E. Fernandes, P. Pita Ferreira, P. Pinto Leite, A. Peralta-Santos)
- Unilabs, Porto, Portugal (C. Sousa, J.P. Almeida, L. Menezes, A. Maia Gonçalves)
- Algarve Biomedical Center Research Institute, Faro, Portugal (B.I. Ferreira, I. Grenho)
- Administração Central do Sistema de Saúde, Lisbon (A. Fonte, C.M. Borges)
| | - Ana Fonte
- Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal (I. Kislaya, V. Borges, C. Matias Dias, S. Duarte, L. Coelho, R. Ferreira, J. Isidro, M. Pinto, D. Sobral, A. Nunes, D. Santos, L. Vieira, J.P. Gomes, B. Nunes, A. Machado)
- Comprehensive Health Research Centre, Lisbon (I. Kislaya, C. Matias Dias, B. Nunes, A. Machado, A. Peralta-Santos)
- Direção-Geral da Saúde, Lisbon (P. Casaca, E. Fernandes, P. Pita Ferreira, P. Pinto Leite, A. Peralta-Santos)
- Unilabs, Porto, Portugal (C. Sousa, J.P. Almeida, L. Menezes, A. Maia Gonçalves)
- Algarve Biomedical Center Research Institute, Faro, Portugal (B.I. Ferreira, I. Grenho)
- Administração Central do Sistema de Saúde, Lisbon (A. Fonte, C.M. Borges)
| | - Eugénia Fernandes
- Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal (I. Kislaya, V. Borges, C. Matias Dias, S. Duarte, L. Coelho, R. Ferreira, J. Isidro, M. Pinto, D. Sobral, A. Nunes, D. Santos, L. Vieira, J.P. Gomes, B. Nunes, A. Machado)
- Comprehensive Health Research Centre, Lisbon (I. Kislaya, C. Matias Dias, B. Nunes, A. Machado, A. Peralta-Santos)
- Direção-Geral da Saúde, Lisbon (P. Casaca, E. Fernandes, P. Pita Ferreira, P. Pinto Leite, A. Peralta-Santos)
- Unilabs, Porto, Portugal (C. Sousa, J.P. Almeida, L. Menezes, A. Maia Gonçalves)
- Algarve Biomedical Center Research Institute, Faro, Portugal (B.I. Ferreira, I. Grenho)
- Administração Central do Sistema de Saúde, Lisbon (A. Fonte, C.M. Borges)
| | - Carlos Matias Dias
- Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal (I. Kislaya, V. Borges, C. Matias Dias, S. Duarte, L. Coelho, R. Ferreira, J. Isidro, M. Pinto, D. Sobral, A. Nunes, D. Santos, L. Vieira, J.P. Gomes, B. Nunes, A. Machado)
- Comprehensive Health Research Centre, Lisbon (I. Kislaya, C. Matias Dias, B. Nunes, A. Machado, A. Peralta-Santos)
- Direção-Geral da Saúde, Lisbon (P. Casaca, E. Fernandes, P. Pita Ferreira, P. Pinto Leite, A. Peralta-Santos)
- Unilabs, Porto, Portugal (C. Sousa, J.P. Almeida, L. Menezes, A. Maia Gonçalves)
- Algarve Biomedical Center Research Institute, Faro, Portugal (B.I. Ferreira, I. Grenho)
- Administração Central do Sistema de Saúde, Lisbon (A. Fonte, C.M. Borges)
| | - Sílvia Duarte
- Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal (I. Kislaya, V. Borges, C. Matias Dias, S. Duarte, L. Coelho, R. Ferreira, J. Isidro, M. Pinto, D. Sobral, A. Nunes, D. Santos, L. Vieira, J.P. Gomes, B. Nunes, A. Machado)
- Comprehensive Health Research Centre, Lisbon (I. Kislaya, C. Matias Dias, B. Nunes, A. Machado, A. Peralta-Santos)
- Direção-Geral da Saúde, Lisbon (P. Casaca, E. Fernandes, P. Pita Ferreira, P. Pinto Leite, A. Peralta-Santos)
- Unilabs, Porto, Portugal (C. Sousa, J.P. Almeida, L. Menezes, A. Maia Gonçalves)
- Algarve Biomedical Center Research Institute, Faro, Portugal (B.I. Ferreira, I. Grenho)
- Administração Central do Sistema de Saúde, Lisbon (A. Fonte, C.M. Borges)
| | - José Pedro Almeida
- Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal (I. Kislaya, V. Borges, C. Matias Dias, S. Duarte, L. Coelho, R. Ferreira, J. Isidro, M. Pinto, D. Sobral, A. Nunes, D. Santos, L. Vieira, J.P. Gomes, B. Nunes, A. Machado)
- Comprehensive Health Research Centre, Lisbon (I. Kislaya, C. Matias Dias, B. Nunes, A. Machado, A. Peralta-Santos)
- Direção-Geral da Saúde, Lisbon (P. Casaca, E. Fernandes, P. Pita Ferreira, P. Pinto Leite, A. Peralta-Santos)
- Unilabs, Porto, Portugal (C. Sousa, J.P. Almeida, L. Menezes, A. Maia Gonçalves)
- Algarve Biomedical Center Research Institute, Faro, Portugal (B.I. Ferreira, I. Grenho)
- Administração Central do Sistema de Saúde, Lisbon (A. Fonte, C.M. Borges)
| | - Inês Grenho
- Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal (I. Kislaya, V. Borges, C. Matias Dias, S. Duarte, L. Coelho, R. Ferreira, J. Isidro, M. Pinto, D. Sobral, A. Nunes, D. Santos, L. Vieira, J.P. Gomes, B. Nunes, A. Machado)
- Comprehensive Health Research Centre, Lisbon (I. Kislaya, C. Matias Dias, B. Nunes, A. Machado, A. Peralta-Santos)
- Direção-Geral da Saúde, Lisbon (P. Casaca, E. Fernandes, P. Pita Ferreira, P. Pinto Leite, A. Peralta-Santos)
- Unilabs, Porto, Portugal (C. Sousa, J.P. Almeida, L. Menezes, A. Maia Gonçalves)
- Algarve Biomedical Center Research Institute, Faro, Portugal (B.I. Ferreira, I. Grenho)
- Administração Central do Sistema de Saúde, Lisbon (A. Fonte, C.M. Borges)
| | - Luís Coelho
- Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal (I. Kislaya, V. Borges, C. Matias Dias, S. Duarte, L. Coelho, R. Ferreira, J. Isidro, M. Pinto, D. Sobral, A. Nunes, D. Santos, L. Vieira, J.P. Gomes, B. Nunes, A. Machado)
- Comprehensive Health Research Centre, Lisbon (I. Kislaya, C. Matias Dias, B. Nunes, A. Machado, A. Peralta-Santos)
- Direção-Geral da Saúde, Lisbon (P. Casaca, E. Fernandes, P. Pita Ferreira, P. Pinto Leite, A. Peralta-Santos)
- Unilabs, Porto, Portugal (C. Sousa, J.P. Almeida, L. Menezes, A. Maia Gonçalves)
- Algarve Biomedical Center Research Institute, Faro, Portugal (B.I. Ferreira, I. Grenho)
- Administração Central do Sistema de Saúde, Lisbon (A. Fonte, C.M. Borges)
| | - Rita Ferreira
- Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal (I. Kislaya, V. Borges, C. Matias Dias, S. Duarte, L. Coelho, R. Ferreira, J. Isidro, M. Pinto, D. Sobral, A. Nunes, D. Santos, L. Vieira, J.P. Gomes, B. Nunes, A. Machado)
- Comprehensive Health Research Centre, Lisbon (I. Kislaya, C. Matias Dias, B. Nunes, A. Machado, A. Peralta-Santos)
- Direção-Geral da Saúde, Lisbon (P. Casaca, E. Fernandes, P. Pita Ferreira, P. Pinto Leite, A. Peralta-Santos)
- Unilabs, Porto, Portugal (C. Sousa, J.P. Almeida, L. Menezes, A. Maia Gonçalves)
- Algarve Biomedical Center Research Institute, Faro, Portugal (B.I. Ferreira, I. Grenho)
- Administração Central do Sistema de Saúde, Lisbon (A. Fonte, C.M. Borges)
| | - Patrícia Pita Ferreira
- Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal (I. Kislaya, V. Borges, C. Matias Dias, S. Duarte, L. Coelho, R. Ferreira, J. Isidro, M. Pinto, D. Sobral, A. Nunes, D. Santos, L. Vieira, J.P. Gomes, B. Nunes, A. Machado)
- Comprehensive Health Research Centre, Lisbon (I. Kislaya, C. Matias Dias, B. Nunes, A. Machado, A. Peralta-Santos)
- Direção-Geral da Saúde, Lisbon (P. Casaca, E. Fernandes, P. Pita Ferreira, P. Pinto Leite, A. Peralta-Santos)
- Unilabs, Porto, Portugal (C. Sousa, J.P. Almeida, L. Menezes, A. Maia Gonçalves)
- Algarve Biomedical Center Research Institute, Faro, Portugal (B.I. Ferreira, I. Grenho)
- Administração Central do Sistema de Saúde, Lisbon (A. Fonte, C.M. Borges)
| | - Cláudia Medeiros Borges
- Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal (I. Kislaya, V. Borges, C. Matias Dias, S. Duarte, L. Coelho, R. Ferreira, J. Isidro, M. Pinto, D. Sobral, A. Nunes, D. Santos, L. Vieira, J.P. Gomes, B. Nunes, A. Machado)
- Comprehensive Health Research Centre, Lisbon (I. Kislaya, C. Matias Dias, B. Nunes, A. Machado, A. Peralta-Santos)
- Direção-Geral da Saúde, Lisbon (P. Casaca, E. Fernandes, P. Pita Ferreira, P. Pinto Leite, A. Peralta-Santos)
- Unilabs, Porto, Portugal (C. Sousa, J.P. Almeida, L. Menezes, A. Maia Gonçalves)
- Algarve Biomedical Center Research Institute, Faro, Portugal (B.I. Ferreira, I. Grenho)
- Administração Central do Sistema de Saúde, Lisbon (A. Fonte, C.M. Borges)
| | - Joana Isidro
- Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal (I. Kislaya, V. Borges, C. Matias Dias, S. Duarte, L. Coelho, R. Ferreira, J. Isidro, M. Pinto, D. Sobral, A. Nunes, D. Santos, L. Vieira, J.P. Gomes, B. Nunes, A. Machado)
- Comprehensive Health Research Centre, Lisbon (I. Kislaya, C. Matias Dias, B. Nunes, A. Machado, A. Peralta-Santos)
- Direção-Geral da Saúde, Lisbon (P. Casaca, E. Fernandes, P. Pita Ferreira, P. Pinto Leite, A. Peralta-Santos)
- Unilabs, Porto, Portugal (C. Sousa, J.P. Almeida, L. Menezes, A. Maia Gonçalves)
- Algarve Biomedical Center Research Institute, Faro, Portugal (B.I. Ferreira, I. Grenho)
- Administração Central do Sistema de Saúde, Lisbon (A. Fonte, C.M. Borges)
| | - Miguel Pinto
- Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal (I. Kislaya, V. Borges, C. Matias Dias, S. Duarte, L. Coelho, R. Ferreira, J. Isidro, M. Pinto, D. Sobral, A. Nunes, D. Santos, L. Vieira, J.P. Gomes, B. Nunes, A. Machado)
- Comprehensive Health Research Centre, Lisbon (I. Kislaya, C. Matias Dias, B. Nunes, A. Machado, A. Peralta-Santos)
- Direção-Geral da Saúde, Lisbon (P. Casaca, E. Fernandes, P. Pita Ferreira, P. Pinto Leite, A. Peralta-Santos)
- Unilabs, Porto, Portugal (C. Sousa, J.P. Almeida, L. Menezes, A. Maia Gonçalves)
- Algarve Biomedical Center Research Institute, Faro, Portugal (B.I. Ferreira, I. Grenho)
- Administração Central do Sistema de Saúde, Lisbon (A. Fonte, C.M. Borges)
| | - Luís Menezes
- Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal (I. Kislaya, V. Borges, C. Matias Dias, S. Duarte, L. Coelho, R. Ferreira, J. Isidro, M. Pinto, D. Sobral, A. Nunes, D. Santos, L. Vieira, J.P. Gomes, B. Nunes, A. Machado)
- Comprehensive Health Research Centre, Lisbon (I. Kislaya, C. Matias Dias, B. Nunes, A. Machado, A. Peralta-Santos)
- Direção-Geral da Saúde, Lisbon (P. Casaca, E. Fernandes, P. Pita Ferreira, P. Pinto Leite, A. Peralta-Santos)
- Unilabs, Porto, Portugal (C. Sousa, J.P. Almeida, L. Menezes, A. Maia Gonçalves)
- Algarve Biomedical Center Research Institute, Faro, Portugal (B.I. Ferreira, I. Grenho)
- Administração Central do Sistema de Saúde, Lisbon (A. Fonte, C.M. Borges)
| | - Daniel Sobral
- Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal (I. Kislaya, V. Borges, C. Matias Dias, S. Duarte, L. Coelho, R. Ferreira, J. Isidro, M. Pinto, D. Sobral, A. Nunes, D. Santos, L. Vieira, J.P. Gomes, B. Nunes, A. Machado)
- Comprehensive Health Research Centre, Lisbon (I. Kislaya, C. Matias Dias, B. Nunes, A. Machado, A. Peralta-Santos)
- Direção-Geral da Saúde, Lisbon (P. Casaca, E. Fernandes, P. Pita Ferreira, P. Pinto Leite, A. Peralta-Santos)
- Unilabs, Porto, Portugal (C. Sousa, J.P. Almeida, L. Menezes, A. Maia Gonçalves)
- Algarve Biomedical Center Research Institute, Faro, Portugal (B.I. Ferreira, I. Grenho)
- Administração Central do Sistema de Saúde, Lisbon (A. Fonte, C.M. Borges)
| | - Alexandra Nunes
- Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal (I. Kislaya, V. Borges, C. Matias Dias, S. Duarte, L. Coelho, R. Ferreira, J. Isidro, M. Pinto, D. Sobral, A. Nunes, D. Santos, L. Vieira, J.P. Gomes, B. Nunes, A. Machado)
- Comprehensive Health Research Centre, Lisbon (I. Kislaya, C. Matias Dias, B. Nunes, A. Machado, A. Peralta-Santos)
- Direção-Geral da Saúde, Lisbon (P. Casaca, E. Fernandes, P. Pita Ferreira, P. Pinto Leite, A. Peralta-Santos)
- Unilabs, Porto, Portugal (C. Sousa, J.P. Almeida, L. Menezes, A. Maia Gonçalves)
- Algarve Biomedical Center Research Institute, Faro, Portugal (B.I. Ferreira, I. Grenho)
- Administração Central do Sistema de Saúde, Lisbon (A. Fonte, C.M. Borges)
| | - Daniela Santos
- Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal (I. Kislaya, V. Borges, C. Matias Dias, S. Duarte, L. Coelho, R. Ferreira, J. Isidro, M. Pinto, D. Sobral, A. Nunes, D. Santos, L. Vieira, J.P. Gomes, B. Nunes, A. Machado)
- Comprehensive Health Research Centre, Lisbon (I. Kislaya, C. Matias Dias, B. Nunes, A. Machado, A. Peralta-Santos)
- Direção-Geral da Saúde, Lisbon (P. Casaca, E. Fernandes, P. Pita Ferreira, P. Pinto Leite, A. Peralta-Santos)
- Unilabs, Porto, Portugal (C. Sousa, J.P. Almeida, L. Menezes, A. Maia Gonçalves)
- Algarve Biomedical Center Research Institute, Faro, Portugal (B.I. Ferreira, I. Grenho)
- Administração Central do Sistema de Saúde, Lisbon (A. Fonte, C.M. Borges)
| | - António Maia Gonçalves
- Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal (I. Kislaya, V. Borges, C. Matias Dias, S. Duarte, L. Coelho, R. Ferreira, J. Isidro, M. Pinto, D. Sobral, A. Nunes, D. Santos, L. Vieira, J.P. Gomes, B. Nunes, A. Machado)
- Comprehensive Health Research Centre, Lisbon (I. Kislaya, C. Matias Dias, B. Nunes, A. Machado, A. Peralta-Santos)
- Direção-Geral da Saúde, Lisbon (P. Casaca, E. Fernandes, P. Pita Ferreira, P. Pinto Leite, A. Peralta-Santos)
- Unilabs, Porto, Portugal (C. Sousa, J.P. Almeida, L. Menezes, A. Maia Gonçalves)
- Algarve Biomedical Center Research Institute, Faro, Portugal (B.I. Ferreira, I. Grenho)
- Administração Central do Sistema de Saúde, Lisbon (A. Fonte, C.M. Borges)
| | - Luís Vieira
- Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal (I. Kislaya, V. Borges, C. Matias Dias, S. Duarte, L. Coelho, R. Ferreira, J. Isidro, M. Pinto, D. Sobral, A. Nunes, D. Santos, L. Vieira, J.P. Gomes, B. Nunes, A. Machado)
- Comprehensive Health Research Centre, Lisbon (I. Kislaya, C. Matias Dias, B. Nunes, A. Machado, A. Peralta-Santos)
- Direção-Geral da Saúde, Lisbon (P. Casaca, E. Fernandes, P. Pita Ferreira, P. Pinto Leite, A. Peralta-Santos)
- Unilabs, Porto, Portugal (C. Sousa, J.P. Almeida, L. Menezes, A. Maia Gonçalves)
- Algarve Biomedical Center Research Institute, Faro, Portugal (B.I. Ferreira, I. Grenho)
- Administração Central do Sistema de Saúde, Lisbon (A. Fonte, C.M. Borges)
| | - João Paulo Gomes
- Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal (I. Kislaya, V. Borges, C. Matias Dias, S. Duarte, L. Coelho, R. Ferreira, J. Isidro, M. Pinto, D. Sobral, A. Nunes, D. Santos, L. Vieira, J.P. Gomes, B. Nunes, A. Machado)
- Comprehensive Health Research Centre, Lisbon (I. Kislaya, C. Matias Dias, B. Nunes, A. Machado, A. Peralta-Santos)
- Direção-Geral da Saúde, Lisbon (P. Casaca, E. Fernandes, P. Pita Ferreira, P. Pinto Leite, A. Peralta-Santos)
- Unilabs, Porto, Portugal (C. Sousa, J.P. Almeida, L. Menezes, A. Maia Gonçalves)
- Algarve Biomedical Center Research Institute, Faro, Portugal (B.I. Ferreira, I. Grenho)
- Administração Central do Sistema de Saúde, Lisbon (A. Fonte, C.M. Borges)
| | - Pedro Pinto Leite
- Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal (I. Kislaya, V. Borges, C. Matias Dias, S. Duarte, L. Coelho, R. Ferreira, J. Isidro, M. Pinto, D. Sobral, A. Nunes, D. Santos, L. Vieira, J.P. Gomes, B. Nunes, A. Machado)
- Comprehensive Health Research Centre, Lisbon (I. Kislaya, C. Matias Dias, B. Nunes, A. Machado, A. Peralta-Santos)
- Direção-Geral da Saúde, Lisbon (P. Casaca, E. Fernandes, P. Pita Ferreira, P. Pinto Leite, A. Peralta-Santos)
- Unilabs, Porto, Portugal (C. Sousa, J.P. Almeida, L. Menezes, A. Maia Gonçalves)
- Algarve Biomedical Center Research Institute, Faro, Portugal (B.I. Ferreira, I. Grenho)
- Administração Central do Sistema de Saúde, Lisbon (A. Fonte, C.M. Borges)
| | - Baltazar Nunes
- Instituto Nacional de Saúde Doutor Ricardo Jorge, Lisbon, Portugal (I. Kislaya, V. Borges, C. Matias Dias, S. Duarte, L. Coelho, R. Ferreira, J. Isidro, M. Pinto, D. Sobral, A. Nunes, D. Santos, L. Vieira, J.P. Gomes, B. Nunes, A. Machado)
- Comprehensive Health Research Centre, Lisbon (I. Kislaya, C. Matias Dias, B. Nunes, A. Machado, A. Peralta-Santos)
- Direção-Geral da Saúde, Lisbon (P. Casaca, E. Fernandes, P. Pita Ferreira, P. Pinto Leite, A. Peralta-Santos)
- Unilabs, Porto, Portugal (C. Sousa, J.P. Almeida, L. Menezes, A. Maia Gonçalves)
- Algarve Biomedical Center Research Institute, Faro, Portugal (B.I. Ferreira, I. Grenho)
- Administração Central do Sistema de Saúde, Lisbon (A. Fonte, C.M. Borges)
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Yang D, Weng H, Wang R, Li Y, Zhang H, Shao S, Huang H, Song Y, Chen X, Hou D, Wu Y, Lu X, Yang W, Chen Z, Hu X, Xuan J, Bai C, Wang Y. Evaluation of COVID-19 vaccines in primary prevention against infections and reduction in severity of illness following the outbreak of SARS-CoV-2 omicron variant in Shanghai. Front Med (Lausanne) 2023; 10:1079165. [PMID: 36844224 PMCID: PMC9946042 DOI: 10.3389/fmed.2023.1079165] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 01/12/2023] [Indexed: 02/10/2023] Open
Abstract
Objectives To evaluate COVID-19 vaccines in primary prevention against infections and lessen the severity of illness following the most recent outbreak of the SARS-CoV-2 Omicron variant in Shanghai. Data sources Data from 153,544 COVID-19 patients admitted to the Shanghai "Four-Leaf Clover" Fangcang makeshift shelter hospital were collected using a structured electronic questionnaire, which was then merged with electronic medical records of the hospital. For healthy controls, data on vaccination status and other information were obtained from 228 community-based residents, using the same structured electronic questionnaire. Methods To investigate whether inactivated vaccines were effective in protecting against SARS-CoV-2 virus, we estimated the odds ratio (OR) of the vaccination by comparing cases and matched community-based healthy controls. To evaluate the potential benefits of vaccination in lowering the risk of symptomatic infection (vs. asymptomatic), we estimated the relative risk (RR) of symptomatic infections among diagnosed patients. We also applied multivariate stepwise logistic regression analyses to measure the risk of disease severity (symptomatic vs. asymptomatic and moderate/severe vs. mild) in the COVID-19 patient cohort with vaccination status as an independent variable while controlling for potential confounding factors. Results Of the 153,544 COVID-19 patients included in the analysis, the mean age was 41.59 years and 90,830 were males (59.2%). Of the study cohort, 118,124 patients had been vaccinated (76.9%) and 143,225 were asymptomatic patients (93.3%). Of the 10,319 symptomatic patients, 10,031 (97.2%), 281 (2.7%), and 7 (0.1%) experienced mild, moderate, and severe infections, respectively. Hypertension (8.7%) and diabetes (3.0%) accounted for the majority of comorbidities. There is no evidence that the vaccination helped protect from infections (OR = 0.82, p = 0.613). Vaccination, however, offered a small but significant protection against symptomatic infections (RR = 0.92, p < 0.001) and halved the risk of moderate/severe infections (OR = 0.48, 95% CI: 0.37-0.61). Older age (≥60 years) and malignant tumors were significantly associated with moderate/severe infections. Conclusion Inactivated COVID-19 vaccines helped provide small but significant protection against symptomatic infections and halved the risk of moderate/severe illness among symptomatic patients. The vaccination was not effective in blocking the SARS-CoV-2 Omicron Variant community spread.
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Affiliation(s)
- Dawei Yang
- Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Engineer and Technology Research Center of Internet of Things for Respiratory Medicine, Shanghai Respiratory Research Institution, Shanghai, China
| | - Huifen Weng
- Shanghai Suvalue Healthcare Scientific Co., Ltd., Shanghai, China
| | - Rui Wang
- State Key Laboratory of Trauma, Burns and Combined Injury, Wound Trauma Medical Center, Institute of Surgery Research, Daping Hospital, Army Medical University, Chongqing, China
| | - You Li
- State Key Laboratory of Trauma, Burns and Combined Injury, Wound Trauma Medical Center, Institute of Surgery Research, Daping Hospital, Army Medical University, Chongqing, China
| | - Hao Zhang
- State Key Laboratory of Trauma, Burns and Combined Injury, Wound Trauma Medical Center, Institute of Surgery Research, Daping Hospital, Army Medical University, Chongqing, China
| | - Shifeng Shao
- State Key Laboratory of Trauma, Burns and Combined Injury, Wound Trauma Medical Center, Institute of Surgery Research, Daping Hospital, Army Medical University, Chongqing, China
| | - Hunan Huang
- Hospital of the People's Liberation Army Joint Logistics Support Force, Yingtan, Jiangxi, China
| | - Yuanlin Song
- Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Engineer and Technology Research Center of Internet of Things for Respiratory Medicine, Shanghai Respiratory Research Institution, Shanghai, China
- Shanghai Key Laboratory of Lung Inflammation and Injury, Shanghai Institute of Infectious Disease and Biosecurity, Shanghai, China
| | - Xiaoyan Chen
- Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Engineer and Technology Research Center of Internet of Things for Respiratory Medicine, Shanghai Respiratory Research Institution, Shanghai, China
| | - Dongni Hou
- Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Engineer and Technology Research Center of Internet of Things for Respiratory Medicine, Shanghai Respiratory Research Institution, Shanghai, China
| | - Yin Wu
- School of Pharmaceutical Sciences, Health Economic Research Institute, Sun Yat-sen University, Guangzhou, China
| | - Xingwei Lu
- Shanghai Centennial Scientific Co., Ltd., Shanghai, China
| | - Wei Yang
- Shanghai Suvalue Healthcare Scientific Co., Ltd., Shanghai, China
| | - Zhengguo Chen
- Department of Clinical Research Management Office, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xiaohan Hu
- School of Pharmaceutical Sciences, Health Economic Research Institute, Sun Yat-sen University, Guangzhou, China
| | - Jianwei Xuan
- School of Pharmaceutical Sciences, Health Economic Research Institute, Sun Yat-sen University, Guangzhou, China
| | - Chunxue Bai
- Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Engineer and Technology Research Center of Internet of Things for Respiratory Medicine, Shanghai Respiratory Research Institution, Shanghai, China
| | - Yaoli Wang
- State Key Laboratory of Trauma, Burns and Combined Injury, Wound Trauma Medical Center, Institute of Surgery Research, Daping Hospital, Army Medical University, Chongqing, China
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Takahashi Y, Tanaka H, Koga Y, Takiguchi S, Ogimoto S, Inaba S, Matsuoka H, Miyajima Y, Takagi T, Irie F, Bamba Y, Yoshimi F, Suzuki T, Araki I, Shirai C, Matsumoto S, Shimizu M, Shibata T, Nagai H, Kinoshita M, Fujita R, Ogata T. Change over Time in the Risk of Death among Japanese COVID-19 Cases Caused by the Omicron Variant Depending on Prevalence of Sublineages. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:2779. [PMID: 36833477 PMCID: PMC9957287 DOI: 10.3390/ijerph20042779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 02/01/2023] [Accepted: 02/02/2023] [Indexed: 06/18/2023]
Abstract
To assess temporal changes to the risk of death in COVID-19 cases caused by the Omicron variant, we calculated age-standardized case fatality rates (CFR) in patients aged ≥40 years over nine diagnostic periods (3 January to 28 August 2022) in ten Japanese prefectures (14.8 million residents). Among 552,581 study subjects, we found that there were 1836 fatalities during the isolation period (up to 28 days from date of onset). The highest age-standardized CFR (0.85%, 95% confidence interval (CI):0.78-0.92) was observed in cases diagnosed in the second 4-week period (January 31 to February 27), after which it declined significantly up to the 6th 4-week period (0.23%, 95% CI: 0.13-0.33, May 23 to June 19). The CFR then increased again but remained at 0.39% in the eighth period (July 18 to August 28). The CFR in cases with the BA.2 or BA.5 sublineages in the age range 60-80 years was significantly lower than that with BA.1 infections (60 years: 0.19%, 0.02%, 0.053%, respectively; 70 years: 0.91%, 0.33%, 0.39%; ≥80 years: 3.78%, 1.96%, 1.81%, respectively). We conclude that the risk of death in Japanese COVID-19 patients infected with Omicron variants declined through February to mid-June 2022.
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Affiliation(s)
- Yuki Takahashi
- Fujiidera Public Health Center of Osaka Prefectural Government, Fujiidera 583-0024, Japan
| | - Hideo Tanaka
- Neyagawa City Public Health Center, Neyagawa 572-0838, Japan
| | - Yoshitaka Koga
- Tosu Public Health and Welfare Office of Saga Prefectural Government, Tosu 841-0051, Japan
| | - Shunichi Takiguchi
- Central Public Health Center of Miyazaki Prefectural Government, Kirishima 880-0032, Japan
| | - Shigeru Ogimoto
- Miyoshi Public Health Center of Tokushima Prefectural Government, Mima 778-0002, Japan
| | - Shizuyo Inaba
- Gifu Public Health Center of Gifu Prefectural Government, Gifu 504-0838, Japan
| | - Hiroyuki Matsuoka
- Iida Public Health Center of Nagano Prefectural Government, Iida 395-0034, Japan
| | - Yuka Miyajima
- Matsumoto Public Health Center of Nagano Prefectural Government, Matsumoto 390-0852, Japan
| | - Takeshi Takagi
- Isesaki Public Health Center of Gunma Prefectural Government, Isesaki 372-0024, Japan
| | - Fujiko Irie
- Tsuchiura Public Health Center of Ibaraki Prefectural Government, Tsuchiura 300-0812, Japan
| | - Yoshihito Bamba
- Ibaraki Prefectual Department of Public Health and Welfare, Mito 310-8555, Japan
| | - Fuyo Yoshimi
- Central Public Health Center of Ibaraki Prefectural Government, Mito 310-0852, Japan
| | - Tomoyuki Suzuki
- Shiga Prefectural Department of Public Health Care and Welfare, Otsu 520-8577, Japan
| | - Isao Araki
- Shiga Prefectural Health, Medical and Welfare Department, Otsu 520-8577, Japan
| | - Chika Shirai
- Hirakata City Public Health Center, Hirakata 573-0027, Japan
| | - Sayuri Matsumoto
- Higashiosaka City Public Health Center, Higashiosaka 578-0941, Japan
| | - Motoyuki Shimizu
- Higashiosaka City Public Health Center, Higashiosaka 578-0941, Japan
| | | | - Hitomi Nagai
- Ibaraki Public Health Center of Osaka Prefectural Government, Ibaraki 567-8585, Japan
| | - Masaru Kinoshita
- Fujiidera Public Health Center of Osaka Prefectural Government, Fujiidera 583-0024, Japan
| | - Rie Fujita
- Kenou Public Health Center of Nagasaki Prefectural Government, Isahaya 854-0081, Japan
| | - Tsuyoshi Ogata
- Itako Public Health Center of Ibaraki Prefectural Government, Itako 311-2422, Japan
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Hansen CH, Friis NU, Bager P, Stegger M, Fonager J, Fomsgaard A, Gram MA, Christiansen LE, Ethelberg S, Legarth R, Krause TG, Ullum H, Valentiner-Branth P. Risk of reinfection, vaccine protection, and severity of infection with the BA.5 omicron subvariant: a nation-wide population-based study in Denmark. THE LANCET. INFECTIOUS DISEASES 2023; 23:167-176. [PMID: 36270311 PMCID: PMC9578720 DOI: 10.1016/s1473-3099(22)00595-3] [Citation(s) in RCA: 60] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 08/30/2022] [Accepted: 08/31/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND Estimates of immunity and severity for the SARS-CoV-2 omicron subvariant BA.5 are important to assess the public health impact associated with its rapid global spread despite vaccination. We estimated natural and vaccine immunity and severity of BA.5 relative to BA.2 in Denmark, a country with high mRNA-vaccination coverage and free-of-charge RT-PCR testing. METHODS This nation-wide population-based study in Denmark included residents aged 18 years or older who had taken an RT-PCR test between 10 April and 30 June, 2022 (ie, the outcome period), and who the national COVID-19 surveillance system identified as having information since February 2020 on RT-PCR tests, whole-genome sequencing, vaccinations, and hospitalisation with a positive RT-PCR test and COVID-19 as the main diagnosis. First, we used a case-control design, in which cases were people infected with BA.5 or BA.2 during the outcome period and controls were people who tested negative for SARS-CoV-2 infection during the outcome period. We calculated the protection provided by a previous PCR-confirmed omicron infection against BA.5 and BA.2 infection and hospitalisation among triple-vaccinated individuals. Second, we compared vaccination status in people infected with BA.5 versus BA.2 and estimated relative vaccine protection against each subvariant. Third, we compared rates of hospitalisation for COVID-19 among people infected with BA.5 versus BA.2. We estimated effects using logistic regression with adjustment for sex, age, region, PCR-test date, comorbidity and, as appropriate, vaccination and previous infection status. FINDINGS A total of 210 (2·4%) of 8678 of BA.5 cases, 192 (0·7%) of 29 292 of BA.2 cases, and 33 972 (19·0%) of 178 669 PCR-negative controls previously had an omicron infection, which was estimated in the adjusted analyses to offer 92·7% (95% CI 91·6-93·7) protection against BA.5 infection and 97·1% (96·6-97·5) protection against BA.2 infection. We found similarly high amounts of protection against hospitalisation owing to infection with BA.5 (96·4% [95% CI 74·2-99·5]) and BA.2 (91·2% [76·3-96·7]). Vaccine coverage (three mRNA doses vs none) was 9307 (94·2%) of 9878 among BA.5 cases and 30 581 (94·8%) of 32 272 among BA.2 cases, although in the adjusted analysis, there was a trend towards slightly higher vaccination coverage among BA.5 cases than BA.2 cases (OR 1·18 [95% CI 0·99-1·42]; p=0·064), possibly suggesting marginally poorer vaccine protection against BA.5. The rate of hospitalisation due to COVID-19 was higher among the BA.5 cases (210 [1·9%] of 11 314) than among the BA.2 cases (514 [1·4%] of 36 805), with an OR of 1·34 (95% CI 1·14-1·57) and an adjusted OR of 1·69 (95% CI 1·22-2·33), despite low and stable COVID-19 hospitalisation numbers during the study period. INTERPRETATION The study provides evidence that a previous omicron infection in triple-vaccinated individuals provides high amounts of protection against BA.5 and BA.2 infections. However, protection estimates greater than 90% might be too high if individuals with a previous infection were more likely than those without one to come forward for a test for reasons other than suspicion of COVID-19. Our analysis also showed that vaccine protection against BA.5 infection was similar to, or slightly weaker than, protection against BA.2 infection. Finally, there was evidence that BA.5 infections were associated with an increased risk of hospitalisation compared with BA.2 infections. FUNDING There was no funding source for this study.
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Affiliation(s)
- Christian Holm Hansen
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark; Medical Reseasrch Council International Statistics and Epidemiology Group, London School of Hygiene & Tropical Medicine, London, UK
| | - Nikolaj Ulrik Friis
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Peter Bager
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark.
| | - Marc Stegger
- Department of Bacteria, Parasites, and Fungi, Statens Serum Institut, Copenhagen, Denmark
| | - Jannik Fonager
- Department of Virus and Microbiological Special Diagnostics, Statens Serum Institut, Copenhagen, Denmark
| | - Anders Fomsgaard
- Department of Virus and Microbiological Special Diagnostics, Statens Serum Institut, Copenhagen, Denmark
| | - Mie Agermose Gram
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | | | - Steen Ethelberg
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark; Department of Public Health, Global Health Section, University of Copenhagen, Copenhagen, Denmark
| | - Rebecca Legarth
- Division of Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark
| | - Tyra Grove Krause
- Division of Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark
| | - Henrik Ullum
- Division of Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark
| | - Palle Valentiner-Branth
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
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36
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Davies MA, Morden E, Rousseau P, Arendse J, Bam JL, Boloko L, Cloete K, Cohen C, Chetty N, Dane P, Heekes A, Hsiao NY, Hunter M, Hussey H, Jacobs T, Jassat W, Kariem S, Kassanjee R, Laenen I, Roux SL, Lessells R, Mahomed H, Maughan D, Meintjes G, Mendelson M, Mnguni A, Moodley M, Murie K, Naude J, Ntusi NA, Paleker M, Parker A, Pienaar D, Preiser W, Prozesky H, Raubenheimer P, Rossouw L, Schrueder N, Smith B, Smith M, Solomon W, Symons G, Taljaard J, Wasserman S, Wilkinson RJ, Wolmarans M, Wolter N, Boulle A. Outcomes of laboratory-confirmed SARS-CoV-2 infection during resurgence driven by Omicron lineages BA.4 and BA.5 compared with previous waves in the Western Cape Province, South Africa. Int J Infect Dis 2023; 127:63-68. [PMID: 36436752 PMCID: PMC9686046 DOI: 10.1016/j.ijid.2022.11.024] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 10/28/2022] [Accepted: 11/19/2022] [Indexed: 11/27/2022] Open
Abstract
OBJECTIVES We aimed to compare the clinical severity of Omicron BA.4/BA.5 infection with BA.1 and earlier variant infections among laboratory-confirmed SARS-CoV-2 cases in the Western Cape, South Africa, using timing of infection to infer the lineage/variant causing infection. METHODS We included public sector patients aged ≥20 years with laboratory-confirmed COVID-19 between May 01-May 21, 2022 (BA.4/BA.5 wave) and equivalent previous wave periods. We compared the risk between waves of (i) death and (ii) severe hospitalization/death (all within 21 days of diagnosis) using Cox regression adjusted for demographics, comorbidities, admission pressure, vaccination, and previous infection. RESULTS Among 3793 patients from the BA.4/BA.5 wave and 190,836 patients from previous waves, the risk of severe hospitalization/death was similar in the BA.4/BA.5 and BA.1 waves (adjusted hazard ratio [aHR] 1.12; 95% confidence interval [CI] 0.93; 1.34). Both Omicron waves had a lower risk of severe outcomes than previous waves. Previous infection (aHR 0.29, 95% CI 0.24; 0.36) and vaccination (aHR 0.17; 95% CI 0.07; 0.40 for at least three doses vs no vaccine) were protective. CONCLUSION Disease severity was similar among diagnosed COVID-19 cases in the BA.4/BA.5 and BA.1 periods in the context of growing immunity against SARS-CoV-2 due to previous infection and vaccination, both of which were strongly protective.
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Affiliation(s)
- Mary-Ann Davies
- Health Intelligence, Western Cape Government: Health, Cape Town, South Africa,Centre for Infectious Disease Epidemiology and Research, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa,Division of Public Health Medicine, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa,Corresponding author: Mary-Ann Davies University of Cape Town, Faculty of Health Sciences, Anzio Road, Observatory, 7925, Cape Town, South Africa
| | - Erna Morden
- Health Intelligence, Western Cape Government: Health, Cape Town, South Africa,Division of Public Health Medicine, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | | | | | - Jamy-Lee Bam
- Health Intelligence, Western Cape Government: Health, Cape Town, South Africa
| | - Linda Boloko
- Groote Schuur Hospital, Western Cape Government: Health, Cape Town, South Africa,Division of Infectious Diseases and HIV Medicine, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Keith Cloete
- Western Cape Government: Health, Cape Town, South Africa
| | - Cheryl Cohen
- National Institute for Communicable Diseases, National Health Laboratory Service, Johannesburg, South Africa,School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Nicole Chetty
- Health Intelligence, Western Cape Government: Health, Cape Town, South Africa,Centre for Infectious Disease Epidemiology and Research, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Pierre Dane
- Health Intelligence, Western Cape Government: Health, Cape Town, South Africa,Centre for Infectious Disease Epidemiology and Research, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Alexa Heekes
- Health Intelligence, Western Cape Government: Health, Cape Town, South Africa,Centre for Infectious Disease Epidemiology and Research, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Nei-Yuan Hsiao
- Division of Medical Virology, University of Cape Town, Cape Town, South Africa,National Health Laboratory Service, South Africa
| | - Mehreen Hunter
- Health Intelligence, Western Cape Government: Health, Cape Town, South Africa,Division of Public Health Medicine, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Hannah Hussey
- Health Intelligence, Western Cape Government: Health, Cape Town, South Africa,Division of Public Health Medicine, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa,Metro Health Services, Western Cape Government: Health, Cape Town, South Africa
| | - Theuns Jacobs
- Health Intelligence, Western Cape Government: Health, Cape Town, South Africa
| | - Waasila Jassat
- National Institute for Communicable Diseases, National Health Laboratory Service, Johannesburg, South Africa
| | - Saadiq Kariem
- Western Cape Government: Health, Cape Town, South Africa
| | - Reshma Kassanjee
- Centre for Infectious Disease Epidemiology and Research, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | - Inneke Laenen
- Health Intelligence, Western Cape Government: Health, Cape Town, South Africa,Division of Health Systems and Public Health, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa
| | - Sue Le Roux
- Western Cape Government: Health, Cape Town, South Africa,Karl Bremer Hospital, Western Cape Government: Health, Cape Town, South Africa
| | - Richard Lessells
- KwaZulu-Natal Research, Innovation & Sequencing Platform, University of KwaZulu-Natal, Durban, South Africa
| | - Hassan Mahomed
- Metro Health Services, Western Cape Government: Health, Cape Town, South Africa,Division of Health Systems and Public Health, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa
| | - Deborah Maughan
- Groote Schuur Hospital, Western Cape Government: Health, Cape Town, South Africa,Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Graeme Meintjes
- Groote Schuur Hospital, Western Cape Government: Health, Cape Town, South Africa,Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Marc Mendelson
- Groote Schuur Hospital, Western Cape Government: Health, Cape Town, South Africa,Division of Infectious Diseases and HIV Medicine, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Ayanda Mnguni
- Khayelitsha District Hospital, Western Cape Government: Health, Cape Town, South Africa
| | - Melvin Moodley
- Health Intelligence, Western Cape Government: Health, Cape Town, South Africa
| | - Katy Murie
- Western Cape Government: Health, Cape Town, South Africa,Metro Health Services, Western Cape Government: Health, Cape Town, South Africa
| | - Jonathan Naude
- Mitchells Plain Hospital, Western Cape Government: Health, Cape Town, South Africa
| | - Ntobeko A.B. Ntusi
- Groote Schuur Hospital, Western Cape Government: Health, Cape Town, South Africa,Department of Medicine, University of Cape Town, Cape Town, South Africa,South African Medical Research Council Extramural Unit on Intersection of Noncommunicable Diseases and Infectious Diseases, Cape Town, South Africa
| | - Masudah Paleker
- Health Intelligence, Western Cape Government: Health, Cape Town, South Africa,Division of Health Systems and Public Health, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Stellenbosch, South Africa
| | - Arifa Parker
- Tygerberg Hospital, Western Cape Government: Health, Cape Town, South Africa,Division of Infectious Diseases, Department of Medicine, Stellenbosch University, Stellenbosch, South Africa,Division of General Medicine, Department of Medicine, Stellenbosch University, Stellenbosch, South Africa
| | - David Pienaar
- Rural Health Services, Western Cape Government: Health, Cape Town, South Africa
| | - Wolfgang Preiser
- National Health Laboratory Service, South Africa,Division of Medical Virology, University of Stellenbosch, Stellenbosch, South Africa
| | - Hans Prozesky
- Tygerberg Hospital, Western Cape Government: Health, Cape Town, South Africa,Division of Infectious Diseases, Department of Medicine, Stellenbosch University, Stellenbosch, South Africa
| | - Peter Raubenheimer
- Groote Schuur Hospital, Western Cape Government: Health, Cape Town, South Africa,Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Liezel Rossouw
- Western Cape Government: Health, Cape Town, South Africa
| | - Neshaad Schrueder
- Tygerberg Hospital, Western Cape Government: Health, Cape Town, South Africa,Division of General Medicine, Department of Medicine, Stellenbosch University, Stellenbosch, South Africa
| | - Barry Smith
- Western Cape Government: Health, Cape Town, South Africa,Karl Bremer Hospital, Western Cape Government: Health, Cape Town, South Africa
| | - Mariette Smith
- Health Intelligence, Western Cape Government: Health, Cape Town, South Africa,Centre for Infectious Disease Epidemiology and Research, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
| | | | - Greg Symons
- Groote Schuur Hospital, Western Cape Government: Health, Cape Town, South Africa,Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Jantjie Taljaard
- Tygerberg Hospital, Western Cape Government: Health, Cape Town, South Africa,Division of Infectious Diseases, Department of Medicine, Stellenbosch University, Stellenbosch, South Africa
| | - Sean Wasserman
- Groote Schuur Hospital, Western Cape Government: Health, Cape Town, South Africa,Division of Infectious Diseases and HIV Medicine, Department of Medicine, University of Cape Town, Cape Town, South Africa,Wellcome Centre for Infectious Disease Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Robert J. Wilkinson
- The Francis Crick Institute, London, UK,Department of Infectious Diseases, Imperial College London, London, UK,Wellcome Centre for Infectious Disease Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | | | - Nicole Wolter
- National Institute for Communicable Diseases, National Health Laboratory Service, Johannesburg, South Africa,School of Pathology, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa
| | - Andrew Boulle
- Health Intelligence, Western Cape Government: Health, Cape Town, South Africa,Centre for Infectious Disease Epidemiology and Research, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa,Division of Public Health Medicine, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa
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McNerney KO, Richards RM, Aguayo-Hiraldo P, Calkoen FG, Talano JA, Moskop A, Balduzzi A, Krajewski J, Dave H, Vatsayan A, Callahan C, Liu H, Li Y, Davis KL, Maude SL. SARS-CoV-2 infections in pediatric and young adult recipients of chimeric antigen receptor T-cell therapy: an international registry report. J Immunother Cancer 2023; 11:jitc-2022-005957. [PMID: 36707090 PMCID: PMC9884906 DOI: 10.1136/jitc-2022-005957] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/06/2023] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND Immunocompromised patients are at increased risk of SARS-CoV-2 infections. Patients undergoing chimeric antigen receptor (CAR) T-cell therapy for relapsed/refractory B-cell malignancies are uniquely immunosuppressed due to CAR T-mediated B-cell aplasia (BCA). While SARS-CoV-2 mortality rates of 33%-40% are reported in adult CAR T-cell recipients, outcomes in pediatric and young adult CAR T-cell recipients are limited. METHODS We created an international retrospective registry of CAR T recipients aged 0-30 years infected with SARS-CoV-2 within 2 months prior to or any time after CAR T infusion. SARS-CoV-2-associated illness was graded as asymptomatic, mild, moderate, or severe COVID-19, or multisystem inflammatory syndrome in children (MIS-C). To assess for risk factors associated with significant SARS-CoV-2 infections (infections requiring hospital admission for respiratory distress or supplemental oxygen), univariate and multivariable regression analyses were performed. RESULTS Nine centers contributed 78 infections in 75 patients. Of 70 SARS-CoV-2 infections occurring after CAR T infusion, 13 (18.6%) were classified as asymptomatic, 37 (52.9%) mild, 11 (15.7%) moderate, and 6 (8.6%) severe COVID-19. Three (4.3%) were classified as MIS-C. BCA was not significantly associated with infection severity. Prior to the emergence of the Omicron variant, of 47 infections, 19 (40.4%) resulted in hospital admission and 7 (14.9%) required intensive care, while after the emergence of the Omicron variant, of 23 infections, only 1 (4.3%) required admission and the remaining 22 (95.7%) had asymptomatic or mild COVID-19. Death occurred in 3 of 70 (4.3%); each death involved coinfection or life-threatening condition. In a multivariable model, factors associated with significant SARS-CoV-2 infection included having two or more comorbidities (OR 7.73, CI 1.05 to 74.8, p=0.048) and age ≥18 years (OR 9.51, CI 1.90 to 82.2, p=0.014). In the eight patients infected with SARS-CoV-2 before CAR T, half of these patients had their CAR T infusion delayed by 15-30 days. CONCLUSIONS In a large international cohort of pediatric and young adult CAR-T recipients, SARS-CoV-2 infections resulted in frequent hospital and intensive care unit admissions and were associated with mortality in 4.3%. Patients with two or more comorbidities or aged ≥18 years were more likely to experience significant illness. Suspected Omicron infections were associated with milder disease.
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Affiliation(s)
- Kevin Owen McNerney
- Cancer and Blood Disorders Institute, Johns Hopkins All Children's Hospital, St Petersburg, Florida, USA,Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Rebecca M Richards
- Hematology, Oncology, and Bone Marrow Transplant, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Paibel Aguayo-Hiraldo
- Cancer and Blood Disease Institute, Keck School of Medicine of USC, Los Angeles, California, USA
| | - Friso G Calkoen
- Division of Pediatric Oncology, Princess Maxima Center, Utrecht, The Netherlands
| | - Julie-An Talano
- Division of Hematology/Oncology/Blood and Marrow TransplantationDepartment of Pediatrics, Medical College of Wisconsin and Children’s Wisconsin, Milwaukee, Wisconsin, USA
| | - Amy Moskop
- Division of Hematology/Oncology/Blood and Marrow TransplantationDepartment of Pediatrics, Medical College of Wisconsin and Children’s Wisconsin, Milwaukee, Wisconsin, USA
| | - Adriana Balduzzi
- Clinica Pediatrica Università degli Studi di Milano Bicocca, Fondazione IRCCS San Gerardo dai Tintori, Milan, Italy
| | - Jennifer Krajewski
- Pediatric Blood and Marrow Transplantation, Hackensack Meridian School of Medicine, Hackensack, New Jersey, USA
| | - Hema Dave
- Cancer Immunology and Microbial Oncology Research Program, Children's National Hospital, Washington, District of Columbia, USA
| | - Anant Vatsayan
- Center for Cancer and Blood Disorders, Children's National Hospital, Washington, District of Columbia, USA
| | - Colleen Callahan
- Division of Oncology and Cancer Immunotherapy Program, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
| | - Hongyan Liu
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA,Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Yimei Li
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA,Department of Pediatrics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Kara Lynn Davis
- Pediatrics, Stanford University School of Medicine, Stanford, California, USA,Center for Cancer Cell Therapy, Stanford Cancer Institute, Stanford, California, USA
| | - Shannon L Maude
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA,Division of Oncology, Center for Childhood Cancer Research and Cancer Immunotherapy Program, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA
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Zsichla L, Müller V. Risk Factors of Severe COVID-19: A Review of Host, Viral and Environmental Factors. Viruses 2023; 15:175. [PMID: 36680215 PMCID: PMC9863423 DOI: 10.3390/v15010175] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 01/04/2023] [Accepted: 01/04/2023] [Indexed: 01/11/2023] Open
Abstract
The clinical course and outcome of COVID-19 are highly variable, ranging from asymptomatic infections to severe disease and death. Understanding the risk factors of severe COVID-19 is relevant both in the clinical setting and at the epidemiological level. Here, we provide an overview of host, viral and environmental factors that have been shown or (in some cases) hypothesized to be associated with severe clinical outcomes. The factors considered in detail include the age and frailty, genetic polymorphisms, biological sex (and pregnancy), co- and superinfections, non-communicable comorbidities, immunological history, microbiota, and lifestyle of the patient; viral genetic variation and infecting dose; socioeconomic factors; and air pollution. For each category, we compile (sometimes conflicting) evidence for the association of the factor with COVID-19 outcomes (including the strength of the effect) and outline possible action mechanisms. We also discuss the complex interactions between the various risk factors.
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Affiliation(s)
- Levente Zsichla
- Institute of Biology, Eötvös Loránd University, 1117 Budapest, Hungary
- National Laboratory for Health Security, Eötvös Loránd University, 1117 Budapest, Hungary
| | - Viktor Müller
- Institute of Biology, Eötvös Loránd University, 1117 Budapest, Hungary
- National Laboratory for Health Security, Eötvös Loránd University, 1117 Budapest, Hungary
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39
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Jamieson L, Van Schalkwyk C, Nichols BE, Meyer-Rath G, Silal S, Pulliam J, Blumberg L, Cohen C, Moultrie H, Jassat W. Differential in-hospital mortality and intensive care treatment over time: Informing hospital pathways for modelling COVID-19 in South Africa. PLOS GLOBAL PUBLIC HEALTH 2023; 3:e0001073. [PMID: 37195977 DOI: 10.1371/journal.pgph.0001073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 02/15/2023] [Indexed: 05/19/2023]
Abstract
There are limited published data within sub-Saharan Africa describing hospital pathways of COVID-19 patients hospitalized. These data are crucial for the parameterisation of epidemiological and cost models, and for planning purposes for the region. We evaluated COVID-19 hospital admissions from the South African national hospital surveillance system (DATCOV) during the first three COVID-19 waves between May 2020 and August 2021. We describe probabilities and admission into intensive care units (ICU), mechanical ventilation, death, and lengths of stay (LOS) in non-ICU and ICU care in public and private sectors. A log-binomial model was used to quantify mortality risk, ICU treatment and mechanical ventilation between time periods, adjusting for age, sex, comorbidity, health sector and province. There were 342,700 COVID-19-related hospital admissions during the study period. Risk of ICU admission was 16% lower during wave periods (adjusted risk ratio (aRR) 0.84 [0.82-0.86]) compared to between-wave periods. Mechanical ventilation was more likely during a wave overall (aRR 1.18 [1.13-1.23]), but patterns between waves were inconsistent, while mortality risk in non-ICU and ICU were 39% (aRR 1.39 [1.35-1.43]) and 31% (aRR 1.31 [1.27-1.36]) higher during a wave, compared to between-wave periods, respectively. If patients had had the same probability of death during waves vs between-wave periods, we estimated approximately 24% [19%-30%] of deaths (19,600 [15,200-24,000]) would not have occurred over the study period. LOS differed by age (older patients stayed longer), ward type (ICU stays were longer than non-ICU) and death/recovery outcome (time to death was shorter in non-ICU); however, LOS remained similar between time periods. Healthcare capacity constraints as inferred by wave period have a large impact on in-hospital mortality. It is crucial for modelling health systems strain and budgets to consider how input parameters related to hospitalisation change during and between waves, especially in settings with severely constrained resources.
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Affiliation(s)
- Lise Jamieson
- Health Economics and Epidemiology Research Office (HE2RO), Department of Internal Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Department of Medical Microbiology, Amsterdam University Medical Center, Amsterdam, The Netherlands
- The South African Department of Science and Innovation/National Research Foundation Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Stellenbosch, Republic of South Africa
| | - Cari Van Schalkwyk
- The South African Department of Science and Innovation/National Research Foundation Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Stellenbosch, Republic of South Africa
| | - Brooke E Nichols
- Health Economics and Epidemiology Research Office (HE2RO), Department of Internal Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Department of Medical Microbiology, Amsterdam University Medical Center, Amsterdam, The Netherlands
- Department of Global Health, School of Public Health, Boston University, Boston, Massachusetts, United States of America
- Foundation for Innovative New Diagnostics, Geneva, Switzerland
| | - Gesine Meyer-Rath
- Health Economics and Epidemiology Research Office (HE2RO), Department of Internal Medicine, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- The South African Department of Science and Innovation/National Research Foundation Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Stellenbosch, Republic of South Africa
- Department of Global Health, School of Public Health, Boston University, Boston, Massachusetts, United States of America
| | - Sheetal Silal
- Modelling and Simulation Hub, Africa, Department of Statistical Sciences, University of Cape Town, Cape Town, South Africa
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Juliet Pulliam
- The South African Department of Science and Innovation/National Research Foundation Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Stellenbosch, Republic of South Africa
| | - Lucille Blumberg
- National Institute for Communicable Diseases, National Health Laboratory Service, Johannesburg, South Africa
- Right to Care, Centurion, South Africa
| | - Cheryl Cohen
- National Institute for Communicable Diseases, National Health Laboratory Service, Johannesburg, South Africa
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Harry Moultrie
- National Institute for Communicable Diseases, National Health Laboratory Service, Johannesburg, South Africa
| | - Waasila Jassat
- National Institute for Communicable Diseases, National Health Laboratory Service, Johannesburg, South Africa
- Right to Care, Centurion, South Africa
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40
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Zhou Y, Zhi H, Teng Y. The outbreak of SARS-CoV-2 Omicron lineages, immune escape, and vaccine effectivity. J Med Virol 2023; 95:e28138. [PMID: 36097349 PMCID: PMC9538491 DOI: 10.1002/jmv.28138] [Citation(s) in RCA: 76] [Impact Index Per Article: 38.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Revised: 08/03/2022] [Accepted: 09/07/2022] [Indexed: 01/11/2023]
Abstract
As of November 2021, several SARS-CoV-2 variants appeared and became dominant epidemic strains in many countries, including five variants of concern (VOCs) Alpha, Beta, Gamma, Delta, and Omicron defined by the World Health Organization during the COVID-19 pandemic. As of August 2022, Omicron is classified into five main lineages, BA.1, BA.2, BA.3, BA.4, BA.5 and some sublineages (BA.1.1, BA.2.12.1, BA.2.11, BA.2.75, BA.4.6) (https://www.gisaid.org/). Compared to the previous VOCs (Alpha, Beta, Gamma, and Delta), all the Omicron lineages have the most highly mutations in the spike protein, and with 50 mutations accumulated throughout the genome. Early data indicated that Omicron BA.2 sublineage had higher infectivity and more immune escape than the early wild-type (WT) strain, the previous VOCs, and BA.1. Recently, global surveillance data suggest a higher transmissibility of BA.4/BA.5 than BA.1, BA.1.1 and BA.2, and BA.4/BA.5 is becoming dominant strain in many countries globally.
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Affiliation(s)
- Yongbing Zhou
- Department of Clinical Laboratory, Hangzhou Third People's Hospital, Affiliated Hangzhou Dermatology Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Huilin Zhi
- Department of Dermatology, Hangzhou Third People's Hospital, Affiliated Hangzhou Dermatology Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yong Teng
- Department of Clinical Laboratory, Hangzhou Third People's Hospital, Affiliated Hangzhou Dermatology Hospital, Zhejiang University School of Medicine, Hangzhou, China
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Greene SK, Levin‐Rector A, Kyaw NTT, Luoma E, Amin H, McGibbon E, Mathes RW, Ahuja SD. Comparative hospitalization risk for SARS-CoV-2 Omicron and Delta variant infections, by variant predominance periods and patient-level sequencing results, New York City, August 2021-January 2022. Influenza Other Respir Viruses 2023; 17:e13062. [PMID: 36317297 PMCID: PMC9835408 DOI: 10.1111/irv.13062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 10/06/2022] [Accepted: 10/12/2022] [Indexed: 11/05/2022] Open
Abstract
BACKGROUND Comparing disease severity between SARS-CoV-2 variants among populations with varied vaccination and infection histories can help characterize emerging variants and support healthcare system preparedness. METHODS We compared COVID-19 hospitalization risk among New York City residents with positive laboratory-based SARS-CoV-2 tests when ≥98% of sequencing results were Delta (August-November 2021) or Omicron (BA.1 and sublineages, January 2022). A secondary analysis defined variant exposure using patient-level sequencing results during July 2021-January 2022, comprising 1-18% of weekly confirmed cases. RESULTS Hospitalization risk was lower among patients testing positive when Omicron (16,025/488,053, 3.3%) than when Delta predominated (8268/158,799, 5.2%). In multivariable analysis adjusting for demographic characteristics and prior diagnosis and vaccination status, patients testing positive when Omicron predominated, compared with Delta, had 0.72 (95% CI: 0.63, 0.82) times the hospitalization risk. In a secondary analysis of patients with sequencing results, hospitalization risk was similar among patients infected with Omicron (2042/29,866, 6.8%), compared with Delta (1780/25,272, 7.0%), and higher among the subset who received two mRNA vaccine doses (adjusted relative risk 1.64; 95% CI: 1.44, 1.87). CONCLUSIONS Hospitalization risk was lower among patients testing positive when Omicron predominated, compared with Delta. This finding persisted after adjusting for prior diagnosis and vaccination status, suggesting intrinsic virologic properties, not population-based immunity, explained the lower severity. Secondary analyses demonstrated collider bias from the sequencing sampling frame changing over time in ways associated with disease severity. Representative data collection is necessary to avoid bias when comparing disease severity between previously dominant and newly emerging variants.
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Affiliation(s)
- Sharon K. Greene
- Surveillance and Epidemiology Section, COVID‐19 Emergency Response TeamNew York City Department of Health and Mental HygieneLong Island CityNew YorkUSA
| | - Alison Levin‐Rector
- Surveillance and Epidemiology Section, COVID‐19 Emergency Response TeamNew York City Department of Health and Mental HygieneLong Island CityNew YorkUSA
| | - Nang T. T. Kyaw
- Surveillance and Epidemiology Section, COVID‐19 Emergency Response TeamNew York City Department of Health and Mental HygieneLong Island CityNew YorkUSA
- Epidemic Intelligence ServiceCenters for Disease Control and PreventionAtlantaGeorgiaUSA
| | - Elizabeth Luoma
- Surveillance and Epidemiology Section, COVID‐19 Emergency Response TeamNew York City Department of Health and Mental HygieneLong Island CityNew YorkUSA
| | - Helly Amin
- Bureau of the Public Health LaboratoryNew York City Department of Health and Mental HygieneNew YorkNew YorkUSA
| | - Emily McGibbon
- Surveillance and Epidemiology Section, COVID‐19 Emergency Response TeamNew York City Department of Health and Mental HygieneLong Island CityNew YorkUSA
| | - Robert W. Mathes
- Surveillance and Epidemiology Section, COVID‐19 Emergency Response TeamNew York City Department of Health and Mental HygieneLong Island CityNew YorkUSA
| | - Shama D. Ahuja
- Surveillance and Epidemiology Section, COVID‐19 Emergency Response TeamNew York City Department of Health and Mental HygieneLong Island CityNew YorkUSA
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Osman NA, Hashish MH, Bakr WMK, Osman NA, Omran EA. "Day 25": a temporal indicator of stabilization of mortality risk among COVID-19 patients with high viral load. Trop Med Health 2022; 50:92. [PMID: 36494866 PMCID: PMC9732988 DOI: 10.1186/s41182-022-00483-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Accepted: 11/19/2022] [Indexed: 12/13/2022] Open
Abstract
INTRODUCTION The relationship between SARS-CoV-2 viral load and hospitalization and mortality among COVID-19 patients has been established. However, the estimation of the duration of time after which the risk of mortality of these patients stops escalating was not extensively discussed earlier. Stratifying patients according to their risk of mortality would optimize healthcare services and costs and reduce mortality. METHODOLOGY In this retrospective observational study, hospital records were used to collect data of 519 COVID-19 patients from May through November 2020. Data included the clinical condition of patients, their viral loads, their admission chest computed tomography results (CO-RAD scale), and the duration of their hospitalization. A Kaplan-Meier analysis was constructed to estimate mortality risk concerning viral load. RESULTS By the end of the study, 20.42% of patients were deceased. The cumulative mortality was: 36.1% (75/208) among patients with high viral load, 12.6% (28/222) in those with moderate viral load, and 3.4% (3/89) among those with low viral load. Predictors of mortality were: older age [adjusted hazard ratio (aHR) = 1.02, 95% CI: [1.00-1.03], (p = 0.05)], "being female" [aHR = 1.53 with 95% CI: [1.03-2.26], (p = 0.031), "high CO-RAD scale" [aHR = 1.32 (1.06-1.64), p = 0.013], "high viral load" [aHR = 4.59 (2.38-20.92), p = 0.017, ICU admission [aHR = 15.95; 95%CI:7.22-35.20, p < 0.001] and lymphocytosis [aHR = 1.89 45;95%CI:1.04-3.45, p = 0.036]. In the ICU-admitted patients, the median survival was 19 days and mortality stabilized at "day 25". For patients with high viral load, mortality rates stabilized at "day 25 post-admission" after which the risks of mortality did not change until day 40, while patients with low and moderate viral loads reached the peak and stabilized at day "20 post-admission". CONCLUSIONS Initial high SARS-CoV-2 viral load might be used as an indicator of a delayed stabilization of mortality risk among COVID-19 patients.
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Affiliation(s)
- Nancy A. Osman
- grid.415762.3Ministry of Health and Population, Alexandria, Egypt
| | - Mona H. Hashish
- grid.7155.60000 0001 2260 6941Department of Microbiology, High Institute of Public Health, Alexandria University, 165 El-Horreya Avenue, El-Ibrahimia, Alexandria, Egypt
| | - Wafaa M. K. Bakr
- grid.7155.60000 0001 2260 6941Department of Microbiology, High Institute of Public Health, Alexandria University, 165 El-Horreya Avenue, El-Ibrahimia, Alexandria, Egypt
| | - Nermin A. Osman
- grid.7155.60000 0001 2260 6941Biomedical Informatics and Medical Statistics Department, Medical Research Institute, Alexandria University, Alexandria, Egypt
| | - Eman A. Omran
- grid.7155.60000 0001 2260 6941Department of Microbiology, High Institute of Public Health, Alexandria University, 165 El-Horreya Avenue, El-Ibrahimia, Alexandria, Egypt
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Nevejan L, Ombelet S, Laenen L, Keyaerts E, Demuyser T, Seyler L, Soetens O, Van Nedervelde E, Naesens R, Geysels D, Verstrepen W, Cattoir L, Martens S, Michel C, Mathieu E, Reynders M, Evenepoel A, Hellemans J, Vanhee M, Magerman K, Maes J, Matheeussen V, Boogaerts H, Lagrou K, Cuypers L, André E. Severity of COVID-19 among Hospitalized Patients: Omicron Remains a Severe Threat for Immunocompromised Hosts. Viruses 2022; 14:v14122736. [PMID: 36560741 PMCID: PMC9783877 DOI: 10.3390/v14122736] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 12/01/2022] [Accepted: 12/06/2022] [Indexed: 12/13/2022] Open
Abstract
The Omicron variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in the general population in the context of a relatively high immunity gained through the early waves of coronavirus disease 19 (COVID-19), and vaccination campaigns. Despite this context, a significant number of patients were hospitalized, and identifying the risk factors associated with severe disease in the Omicron era is critical for targeting further preventive, and curative interventions. We retrospectively analyzed the individual medical records of 1501 SARS-CoV-2 positive hospitalized patients between 13 December 2021, and 13 February 2022, in Belgium, of which 187 (12.5%) were infected with Delta, and 1036 (69.0%) with Omicron. Unvaccinated adults showed an increased risk of moderate/severe/critical/fatal COVID-19 (crude OR 1.54; 95% CI 1.09-2.16) compared to vaccinated patients, whether infected with Omicron or Delta. In adults infected with Omicron and moderate/severe/critical/fatal COVID-19 (n = 323), immunocompromised patients showed an increased risk of in-hospital mortality related to COVID-19 (adjusted OR 2.42; 95% CI 1.39-4.22), compared to non-immunocompromised patients. The upcoming impact of the pandemic will be defined by evolving viral variants, and the immune system status of the population. The observations support that, in the context of an intrinsically less virulent variant, vaccination and underlying patient immunity remain the main drivers of severe disease.
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Affiliation(s)
- Louis Nevejan
- Department of Laboratory Medicine, National Reference Center for Respiratory Pathogens, UZ Leuven—University Hospitals Leuven, Herestraat 49, 3000 Leuven, Belgium
- Correspondence: (L.N.); (L.C.); (E.A.)
| | - Sien Ombelet
- Department of Laboratory Medicine, National Reference Center for Respiratory Pathogens, UZ Leuven—University Hospitals Leuven, Herestraat 49, 3000 Leuven, Belgium
- KU Leuven Department of Microbiology, Immunology and Transplantation, Laboratory of Clinical Microbiology, 3000 Leuven, Belgium
| | - Lies Laenen
- Department of Laboratory Medicine, National Reference Center for Respiratory Pathogens, UZ Leuven—University Hospitals Leuven, Herestraat 49, 3000 Leuven, Belgium
- KU Leuven Department of Microbiology, Immunology and Transplantation, Laboratory of Clinical Microbiology, 3000 Leuven, Belgium
| | - Els Keyaerts
- KU Leuven Department of Microbiology, Immunology and Transplantation, Laboratory of Clinical Microbiology, 3000 Leuven, Belgium
| | - Thomas Demuyser
- Department of Microbiology and Infection Control, Vrije Universiteit Brussel (VUB), UZ Brussel—University Hospitals Brussels, 1090 Brussels, Belgium
- Center for Neurosciences, Faculty of Medicine and Pharmacy, Vrije Universiteit Brussel (VUB), 1090 Brussels, Belgium
| | - Lucie Seyler
- Department of Internal Medicine and Infectious Diseases, Vrije Universiteit Brussel (VUB), UZ Brussel—University Hospitals Brussels, 1090 Brussels, Belgium
| | - Oriane Soetens
- Department of Microbiology and Infection Control, Vrije Universiteit Brussel (VUB), UZ Brussel—University Hospitals Brussels, 1090 Brussels, Belgium
| | - Els Van Nedervelde
- Department of Internal Medicine and Infectious Diseases, Vrije Universiteit Brussel (VUB), UZ Brussel—University Hospitals Brussels, 1090 Brussels, Belgium
| | - Reinout Naesens
- Department of Medical Microbiology, Department of infection prevention and control, ZNA Middelheim, 2020 Antwerp, Belgium
| | - Dieter Geysels
- Department of Medical Microbiology, Department of infection prevention and control, ZNA Middelheim, 2020 Antwerp, Belgium
| | - Walter Verstrepen
- Department of Medical Microbiology, Department of infection prevention and control, ZNA Middelheim, 2020 Antwerp, Belgium
| | - Lien Cattoir
- Clinical Laboratory of Microbiology, OLV Hospital, 9300 Aalst, Belgium
| | - Steven Martens
- Clinical Laboratory of Microbiology, OLV Hospital, 9300 Aalst, Belgium
| | - Charlotte Michel
- Department of Microbiology, Laboratoire Hospitalier Universitaire de Bruxelles, Université Libre de Bruxelles, 1000 Brussels, Belgium
| | - Elise Mathieu
- Department of Microbiology, Laboratoire Hospitalier Universitaire de Bruxelles, Université Libre de Bruxelles, 1000 Brussels, Belgium
| | - Marijke Reynders
- Department of Laboratory Medicine—Medical Microbiology, AZ Sint Jan Brugge-Oostende, 8000 Brugge, Belgium
| | - Anton Evenepoel
- Department of Laboratory Medicine—Medical Microbiology, AZ Sint Jan Brugge-Oostende, 8000 Brugge, Belgium
| | - Jorn Hellemans
- Department of Laboratory Medicine—Medical Microbiology, AZ Sint Jan Brugge-Oostende, 8000 Brugge, Belgium
| | - Merijn Vanhee
- Department of Laboratory Medicine—Medical Microbiology, AZ Sint Jan Brugge-Oostende, 8000 Brugge, Belgium
| | - Koen Magerman
- Clinical Laboratory, Jessa Hospital, 3500 Hasselt, Belgium
| | - Justine Maes
- Clinical Laboratory, Jessa Hospital, 3500 Hasselt, Belgium
| | - Veerle Matheeussen
- Department of Microbiology, University Hospital Antwerp, 2650 Antwerp, Belgium
| | - Hélène Boogaerts
- Department of Microbiology, University Hospital Antwerp, 2650 Antwerp, Belgium
| | - Katrien Lagrou
- Department of Laboratory Medicine, National Reference Center for Respiratory Pathogens, UZ Leuven—University Hospitals Leuven, Herestraat 49, 3000 Leuven, Belgium
- KU Leuven Department of Microbiology, Immunology and Transplantation, Laboratory of Clinical Microbiology, 3000 Leuven, Belgium
| | - Lize Cuypers
- Department of Laboratory Medicine, National Reference Center for Respiratory Pathogens, UZ Leuven—University Hospitals Leuven, Herestraat 49, 3000 Leuven, Belgium
- KU Leuven Department of Microbiology, Immunology and Transplantation, Laboratory of Clinical Microbiology, 3000 Leuven, Belgium
- Correspondence: (L.N.); (L.C.); (E.A.)
| | - Emmanuel André
- Department of Laboratory Medicine, National Reference Center for Respiratory Pathogens, UZ Leuven—University Hospitals Leuven, Herestraat 49, 3000 Leuven, Belgium
- KU Leuven Department of Microbiology, Immunology and Transplantation, Laboratory of Clinical Microbiology, 3000 Leuven, Belgium
- Correspondence: (L.N.); (L.C.); (E.A.)
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Hussey H, Vreede H, Davies MA, Heekes A, Kalk E, Hardie D, van Zyl G, Naidoo M, Morden E, Bam JL, Zinyakatira N, Centner CM, Maritz J, Opie J, Chapanduka Z, Mahomed H, Smith M, Cois A, Pienaar D, Redd AD, Preiser W, Wilkinson R, Chetty K, Boulle A, Hsiao NY. Epidemiology and outcomes of SARS-CoV-2 infection associated with anti-nucleocapsid seropositivity in Cape Town, South Africa. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2022:2022.12.01.22282927. [PMID: 36523408 PMCID: PMC9753787 DOI: 10.1101/2022.12.01.22282927] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Background In low- and middle-income countries where SARS-CoV-2 testing is limited, seroprevalence studies can characterise the scale and determinants of the pandemic, as well as elucidate protection conferred by prior exposure. Methods We conducted repeated cross-sectional serosurveys (July 2020 - November 2021) using residual plasma from routine convenient blood samples from patients with non-COVID-19 conditions from Cape Town, South Africa. SARS-CoV-2 anti-nucleocapsid antibodies and linked clinical information were used to investigate: (1) seroprevalence over time and risk factors associated with seropositivity, (2) ecological comparison of seroprevalence between subdistricts, (3) case ascertainment rates, and (4) the relative protection against COVID-19 associated with seropositivity and vaccination statuses, to estimate variant disease severity. Findings Among the subset sampled, seroprevalence of SARS-CoV-2 in Cape Town increased from 39.2% in July 2020 to 67.8% in November 2021. Poorer communities had both higher seroprevalence and COVID-19 mortality. Only 10% of seropositive individuals had a recorded positive SARS-CoV-2 test. Antibody positivity before the start of the Omicron BA.1 wave (28 November 2021) was strongly protective for severe disease (adjusted odds ratio [aOR] 0.15; 95%CI 0.05-0.46), with additional benefit in those who were also vaccinated (aOR 0.07, 95%CI 0.01-0.35). Interpretation The high population seroprevalence in Cape Town was attained at the cost of substantial COVID-19 mortality. At the individual level, seropositivity was highly protective against subsequent infections and severe COVID-19. Funding Wellcome Trust, National Health Laboratory Service, the Division of Intramural Research, NIAID, NIH (ADR) and Western Cape Government Health.
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Affiliation(s)
- Hannah Hussey
- Health Intelligence, Western Cape Government: Health, South Africa
- Metro Health Services, Western Cape Government: Health
- School of Public Health, University of Cape Town, South Africa
| | - Helena Vreede
- Division of Chemical Pathology, University of Cape Town, South Africa
- National Health Laboratory Service, South Africa
| | - Mary-Ann Davies
- Health Intelligence, Western Cape Government: Health, South Africa
- School of Public Health, University of Cape Town, South Africa
- Centre for Infectious Disease Epidemiology and Research, School of Public Health, University of Cape Town, South Africa
| | - Alexa Heekes
- Health Intelligence, Western Cape Government: Health, South Africa
- Centre for Infectious Disease Epidemiology and Research, School of Public Health, University of Cape Town, South Africa
| | - Emma Kalk
- School of Public Health, University of Cape Town, South Africa
- Centre for Infectious Disease Epidemiology and Research, School of Public Health, University of Cape Town, South Africa
| | - Diana Hardie
- National Health Laboratory Service, South Africa
- Division of Medical Virology, University of Cape Town, South Africa
| | - Gert van Zyl
- National Health Laboratory Service, South Africa
- Division of Medical Virology, Stellenbosch University, South Africa
| | - Michelle Naidoo
- National Health Laboratory Service, South Africa
- Division of Medical Virology, University of Cape Town, South Africa
- Division of Medical Virology, Stellenbosch University, South Africa
| | - Erna Morden
- Health Intelligence, Western Cape Government: Health, South Africa
- School of Public Health, University of Cape Town, South Africa
| | - Jamy-Lee Bam
- Health Intelligence, Western Cape Government: Health, South Africa
| | - Nesbert Zinyakatira
- Health Intelligence, Western Cape Government: Health, South Africa
- School of Public Health, University of Cape Town, South Africa
| | | | - Jean Maritz
- Division of Medical Virology, Stellenbosch University, South Africa
- PathCare Reference Laboratory, Cape Town, South Africa
| | - Jessica Opie
- National Health Laboratory Service, South Africa
- Division of Haematology, University of Cape Town, South Africa
| | - Zivanai Chapanduka
- National Health Laboratory Service, South Africa
- Division of Haematology, Stellenbosch University, South Africa
| | - Hassan Mahomed
- Metro Health Services, Western Cape Government: Health
- Division of Health Systems and Public Health, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University
| | - Mariette Smith
- Health Intelligence, Western Cape Government: Health, South Africa
- Centre for Infectious Disease Epidemiology and Research, School of Public Health, University of Cape Town, South Africa
| | - Annibale Cois
- School of Public Health, University of Cape Town, South Africa
- Division of Health Systems and Public Health, Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University
| | - David Pienaar
- Rural Health Services, Western Cape Government: Health
| | - Andrew D Redd
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Division of Intramural Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Wolfgang Preiser
- National Health Laboratory Service, South Africa
- Division of Medical Virology, Stellenbosch University, South Africa
| | - Robert Wilkinson
- Wellcome Centre for Infectious Disease Research in Africa, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, South Africa
- The Francis Crick Institute, Midland Road, London, NW1 1AT, UK
- Department of Infectious Diseases, Imperial College London, W12 0NN, UK
| | - Kamy Chetty
- National Health Laboratory Service, South Africa
| | - Andrew Boulle
- Health Intelligence, Western Cape Government: Health, South Africa
- School of Public Health, University of Cape Town, South Africa
- Centre for Infectious Disease Epidemiology and Research, School of Public Health, University of Cape Town, South Africa
| | - Nei-Yuan Hsiao
- National Health Laboratory Service, South Africa
- Division of Medical Virology, University of Cape Town, South Africa
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Retrospective study of the immunogenicity and safety of the CoronaVac SARS-CoV-2 vaccine in people with underlying medical conditions. COMMUNICATIONS MEDICINE 2022; 2:151. [PMID: 36434092 PMCID: PMC9700702 DOI: 10.1038/s43856-022-00216-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 11/09/2022] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND People living with chronic disease, particularly seniors (≥60 years old), made up of most severe symptom and death cases among SARS-CoV-2 infected patients. However, they are lagging behind in the national COVID-19 vaccination campaign in China due to the uncertainty of vaccine safety and effectiveness. Safety and immunogenicity data of COVID-19 vaccines in people with underlying medical conditions are needed to address the vaccine hesitation in this population. METHODS We included participants (≥40 years old) who received two doses of CoronaVac inactivated vaccines (at a 3-5 week interval) and were healthy or had at least one of 6 common chronic diseases. The incidence of adverse events after vaccination was monitored. Vaccine immunogenicity was studied by determining neutralizing antibodies and SARS-CoV-2-specific T cell responses post vaccination. RESULTS Here we show that chronic diseases are associated with a higher rate of mild fatigue following the first dose of CoronaVac. By day 14-28 post vaccination, the neutralizing antibody level shows no significant difference between disease groups and healthy controls, except for people with coronary artery disease (p = 0.0287) and chronic respiratory disease (p = 0.0416), who show moderate reductions. Such differences diminish by day 90 and 180. Most people show detectable SARS-CoV-2-specific T cell responses at day 90 and day 180 without significant differences between disease groups and healthy controls. CONCLUSIONS Our results highlight the comparable safety, immunogenicity and cellular immunity memory of CoronaVac in seniors and people living with chronic diseases. This data should reduce vaccine hesitancy in this population.
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Khamis F, Al Awaidy S, Ba’Omar M, Osman W, Chhetri S, Ambusaid Z, Al Fahdi Z, Al Lawati J, Al Sulaimi K, Al Bulushi SA, Al Bahrani M, Al-Zakwani I. The Impact of Demographic, Clinical Characteristics and the Various COVID-19 Variant Types on All-Cause Mortality: A Case-Series Retrospective Study. Diseases 2022; 10:100. [PMID: 36412594 PMCID: PMC9680441 DOI: 10.3390/diseases10040100] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 11/01/2022] [Accepted: 11/03/2022] [Indexed: 11/09/2022] Open
Abstract
(1) Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has rapidly evolved into a pandemic affecting virtually every country in the world. We evaluated the demographic, clinical, laboratory, and all-cause mortality of moderate and severe COVID-19 patients admitted to a tertiary care hospital in Oman during the different COVID-19 waves and variant types. (2) Methods: A case-series retrospective study was carried out between 12 March 2020 and 30 June 2022. All adults over the age of 18 with laboratory-confirmed COVID-19 were enrolled. Analyses were performed using univariate and multivariate statistics. (3) Results: A total of 1462 confirmed cases enrolled with the mean age of the cohort was 55 ± 17 years with significant differences among the groups (p = 0.006). A total of 63% and 80% of the patients were males and citizens of Oman, respectively. Patients infected with the Alpha COVID-19 variant type were more likely to have acute respiratory distress syndrome (ARDS) (p < 0.001), stay longer in the hospital (p < 0.001), and get admitted to the intensive care unit (ICU) (p < 0.001). At the same time, those who had the Omicron COVID-19 type were more likely to have renal impairment (p < 0.001) and less likely to be associated with non-invasive ventilation (NIV) (p = 0.001) compared with other COVID-19 variant types. The Delta (adjusted odds ratio (aOR), 1.8; 95% confidence interval (CI): 1.22−2.66; p = 0.003) and Omicron (aOR, 1.88; 95% CI: 1.09−3.22; p = 0.022) COVID-19 variant types were associated with higher all-cause mortality when compared to the initial COVID-19 variant. Old age (aOR, 1.05; 95% CI: 1.04−1.06; p < 0.001), the presence of respiratory disease (aOR, 1.58; 95% CI: 1.02−2.44; p = 0.04), ICU admission (aOR, 3.41; 95% CI: 2.16−5.39; p < 0.001), lower eGFR (aOR, 1.61; 95% CI: 1.17−2.23; p = 0.004), and ARDS (aOR, 5.75; 95% CI: 3.69−8.98; p < 0.001) were also associated with higher mortality while NIV requirements were associated with lower odds of dying (aOR, 0.65; 95% CI: 0.46−0.91; p = 0.012). (4) Conclusions: Alpha and Delta variants were associated with a longer hospital stay, need for intensive care, mechanical ventilation, and increased mortality. Old age, cardiac renal dysfunction were commonly associated with Omicron variants. Large-scale national studies to further assess the risk factors for mortality related to COVID-19 waves are warranted.
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Affiliation(s)
- Faryal Khamis
- Department of Infectious Disease, The Royal Hospital, Muscat, PC 111, Oman
| | | | - Muna Ba’Omar
- Department of Infectious Disease, The Royal Hospital, Muscat, PC 111, Oman
| | - Wessam Osman
- Department of Medicine, Royal Hospital, Ministry of Health, Muscat, PC 111, Oman
| | - Shabnam Chhetri
- Department of Infectious Disease, The Royal Hospital, Muscat, PC 111, Oman
| | - Zaiyana Ambusaid
- Department of Medicine, Royal Hospital, Ministry of Health, Muscat, PC 111, Oman
| | - Zakariya Al Fahdi
- Department of Medicine, Nizwa Hospital, Ministry of Health, Nizwa, PC 611, Oman
| | - Jaber Al Lawati
- Department of Medicine, Royal Hospital, Ministry of Health, Muscat, PC 111, Oman
| | - Khalsa Al Sulaimi
- Department of Medicine, Royal Hospital, Ministry of Health, Muscat, PC 111, Oman
| | | | - Maher Al Bahrani
- Department of Anaesthesia, Royal Hospital, Ministry of Health, Muscat, PC 111, Oman
| | - Ibrahim Al-Zakwani
- Department of Pharmacology & Clinical Pharmacy, College of Medicine & Health Sciences, Sultan Qaboos University, Al Khoudh, PC 123, Oman
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Islam MR, Shahriar M, Bhuiyan MA. The latest Omicron BA.4 and BA.5 lineages are frowning toward COVID-19 preventive measures: A threat to global public health. Health Sci Rep 2022; 5:e884. [PMID: 36254237 PMCID: PMC9561426 DOI: 10.1002/hsr2.884] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Revised: 09/21/2022] [Accepted: 09/22/2022] [Indexed: 11/16/2022] Open
Affiliation(s)
- Md. Rabiul Islam
- Department of PharmacyUniversity of Asia PacificFarmgateDhakaBangladesh
| | - Mohammad Shahriar
- Department of PharmacyUniversity of Asia PacificFarmgateDhakaBangladesh
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Stefanelli P, Trentini F, Petrone D, Mammone A, Ambrosio L, Manica M, Guzzetta G, d'Andrea V, Marziano V, Zardini A, Molina Grane' C, Ajelli M, Di Martino A, Riccardo F, Bella A, Sane Schepisi M, Maraglino F, Poletti P, Palamara AT, Brusaferro S, Rezza G, Pezzotti P, Merler S. Tracking the progressive spread of the SARS-CoV-2 Omicron variant in Italy, December 2021 to January 2022. Euro Surveill 2022; 27:2200125. [PMID: 36367013 PMCID: PMC9650705 DOI: 10.2807/1560-7917.es.2022.27.45.2200125] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 08/03/2022] [Indexed: 11/26/2023] Open
Abstract
BackgroundThe SARS-CoV-2 variant of concern Omicron was first detected in Italy in November 2021.AimTo comprehensively describe Omicron spread in Italy in the 2 subsequent months and its impact on the overall SARS-CoV-2 circulation at population level.MethodsWe analyse data from four genomic surveys conducted across the country between December 2021 and January 2022. Combining genomic sequencing results with epidemiological records collated by the National Integrated Surveillance System, the Omicron reproductive number and exponential growth rate are estimated, as well as SARS-CoV-2 transmissibility.ResultsOmicron became dominant in Italy less than 1 month after its first detection, representing on 3 January 76.9-80.2% of notified SARS-CoV-2 infections, with a doubling time of 2.7-3.3 days. As of 17 January 2022, Delta variant represented < 6% of cases. During the Omicron expansion in December 2021, the estimated mean net reproduction numbers respectively rose from 1.15 to a maximum of 1.83 for symptomatic cases and from 1.14 to 1.36 for hospitalised cases, while remaining relatively stable, between 0.93 and 1.21, for cases needing intensive care. Despite a reduction in relative proportion, Delta infections increased in absolute terms throughout December contributing to an increase in hospitalisations. A significant reproduction numbers' decline was found after mid-January, with average estimates dropping below 1 between 10 and 16 January 2022.ConclusionEstimates suggest a marked growth advantage of Omicron compared with Delta variant, but lower disease severity at population level possibly due to residual immunity against severe outcomes acquired from vaccination and prior infection.
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Affiliation(s)
| | - Filippo Trentini
- Dondena Centre for Research on Social Dynamics and Public Policy, Bocconi University, Milan, Italy
- Center for Health Emergencies, Bruno Kessler Foundation, Trento, Italy
| | | | - Alessia Mammone
- Health Prevention Directorate, Ministry of Health, Rome, Italy
| | | | - Mattia Manica
- Epilab-JRU, FEM-FBK Joint Research Unit, Trento, Italy
- Center for Health Emergencies, Bruno Kessler Foundation, Trento, Italy
| | - Giorgio Guzzetta
- Epilab-JRU, FEM-FBK Joint Research Unit, Trento, Italy
- Center for Health Emergencies, Bruno Kessler Foundation, Trento, Italy
| | - Valeria d'Andrea
- Center for Health Emergencies, Bruno Kessler Foundation, Trento, Italy
| | | | - Agnese Zardini
- Center for Health Emergencies, Bruno Kessler Foundation, Trento, Italy
| | - Carla Molina Grane'
- University of Trento, Trento, Italy
- Center for Health Emergencies, Bruno Kessler Foundation, Trento, Italy
| | - Marco Ajelli
- Laboratory for Computational Epidemiology and Public Health, Department of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, United States
| | | | | | | | | | | | - Piero Poletti
- Epilab-JRU, FEM-FBK Joint Research Unit, Trento, Italy
- Center for Health Emergencies, Bruno Kessler Foundation, Trento, Italy
| | | | | | - Giovanni Rezza
- Health Prevention Directorate, Ministry of Health, Rome, Italy
| | | | - Stefano Merler
- Epilab-JRU, FEM-FBK Joint Research Unit, Trento, Italy
- Center for Health Emergencies, Bruno Kessler Foundation, Trento, Italy
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Kassanjee R, Davies MA, Ngwenya O, Osei-Yeboah R, Jacobs T, Morden E, Timmerman V, Britz S, Mendelson M, Taljaard J, Riou J, Boulle A, Tiffin N, Zinyakatira N. COVID-19 among adults living with HIV: Correlates of mortality in a general population in a resource-limited setting. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2022:2022.10.17.22281085. [PMID: 36299434 PMCID: PMC9603837 DOI: 10.1101/2022.10.17.22281085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Introduction While a large proportion of people with HIV (PWH) have experienced SARS-CoV-2 infections, there is uncertainty about the role of HIV disease severity on COVID-19 outcomes, especially in lower income settings. We studied the association between mortality and characteristics of HIV severity and management, and vaccination, among adult PWH. Methods We analysed observational cohort data on all PWH aged ≥15 years experiencing a diagnosed SARS-CoV-2 infection (until March 2022), who accessed public sector healthcare in the Western Cape province of South Africa. Logistic regression was used to study the association of mortality with CD4 cell count, viral load, evidence of ART, time since first HIV evidence, and vaccination, adjusting for demographic characteristics, comorbidities, admission pressure, location and time period. Results Mortality occurred in 5.7% (95% CI: 5.3,6.0) of 17 831 first diagnosed infections. Higher mortality was associated with lower recent CD4, no evidence of ART collection, high or unknown recent viral load (among those with ART evidence), and recent first HIV evidence, differentially by age. Vaccination was protective. The burden of comorbidities was high, and tuberculosis, chronic kidney disease, diabetes and hypertension were associated with higher mortality, more strongly in younger adults. Conclusions Mortality was strongly associated with suboptimal HIV control, and prevalence of these risk factors increased in later COVID-19 waves. It remains a public health priority to ensure PWH are on suppressive ART and vaccinated, and manage any disruptions in care that occurred during the pandemic. The diagnosis and management of comorbidities, including for tuberculosis, should be optimised.
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Affiliation(s)
- Reshma Kassanjee
- School of Public Health, University of Cape Town, Cape Town, South Africa
| | - Mary-Ann Davies
- School of Public Health, University of Cape Town, Cape Town, South Africa
- Western Cape Government: Health and Wellness, Cape Town, South Africa
| | - Olina Ngwenya
- Wellcome Centre for Infectious Disease Research in Africa, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town, South Africa
| | - Richard Osei-Yeboah
- Division of Computational Biology, Integrative Biomedical Sciences Department, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Theuns Jacobs
- School of Public Health, University of Cape Town, Cape Town, South Africa
- Western Cape Government: Health and Wellness, Cape Town, South Africa
| | - Erna Morden
- School of Public Health, University of Cape Town, Cape Town, South Africa
- Western Cape Government: Health and Wellness, Cape Town, South Africa
| | - Venessa Timmerman
- Western Cape Government: Health and Wellness, Cape Town, South Africa
| | - Stefan Britz
- Department of Statistical Sciences, University of Cape Town, Cape Town, South Africa
| | - Marc Mendelson
- Division of Infectious Diseases and HIV Medicine, Department of Medicine, Groote Schuur Hospital, University of Cape Town, South Africa
| | - Jantjie Taljaard
- Division of Infectious Diseases, Department of Medicine, Tygerberg Hospital, Stellenbosch University, South Africa
| | - Julien Riou
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Andrew Boulle
- School of Public Health, University of Cape Town, Cape Town, South Africa
- Western Cape Government: Health and Wellness, Cape Town, South Africa
| | - Nicki Tiffin
- Western Cape Government: Health and Wellness, Cape Town, South Africa
- University of the Western Cape, Cape Town, South Africa
| | - Nesbert Zinyakatira
- School of Public Health, University of Cape Town, Cape Town, South Africa
- Western Cape Government: Health and Wellness, Cape Town, South Africa
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Chi WY, Li YD, Huang HC, Chan TEH, Chow SY, Su JH, Ferrall L, Hung CF, Wu TC. COVID-19 vaccine update: vaccine effectiveness, SARS-CoV-2 variants, boosters, adverse effects, and immune correlates of protection. J Biomed Sci 2022; 29:82. [PMID: 36243868 PMCID: PMC9569411 DOI: 10.1186/s12929-022-00853-8] [Citation(s) in RCA: 114] [Impact Index Per Article: 38.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 09/01/2022] [Indexed: 12/23/2022] Open
Abstract
Coronavirus Disease 2019 (COVID-19) has been the most severe public health challenge in this century. Two years after its emergence, the rapid development and deployment of effective COVID-19 vaccines have successfully controlled this pandemic and greatly reduced the risk of severe illness and death associated with COVID-19. However, due to its ability to rapidly evolve, the SARS-CoV-2 virus may never be eradicated, and there are many important new topics to work on if we need to live with this virus for a long time. To this end, we hope to provide essential knowledge for researchers who work on the improvement of future COVID-19 vaccines. In this review, we provided an up-to-date summary for current COVID-19 vaccines, discussed the biological basis and clinical impact of SARS-CoV-2 variants and subvariants, and analyzed the effectiveness of various vaccine booster regimens against different SARS-CoV-2 strains. Additionally, we reviewed potential mechanisms of vaccine-induced severe adverse events, summarized current studies regarding immune correlates of protection, and finally, discussed the development of next-generation vaccines.
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Affiliation(s)
- Wei-Yu Chi
- Physiology, Biophysics and Systems Biology Graduate Program, Weill Cornell Medicine, New York, NY, USA
| | - Yen-Der Li
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA
| | - Hsin-Che Huang
- Tri-Institutional PhD Program in Chemical Biology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Timothy En Haw Chan
- International Max Planck Research School for Immunobiology, Epigenetics and Metabolism (IMPRS-IEM), Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany
- Department of Urology, Medical Center, University of Freiburg, Freiburg, Germany
- Faculty of Biology, University of Freiburg, Freiburg, Germany
| | - Sih-Yao Chow
- Downstream Process Science, EirGenix Inc., Zhubei, Hsinchu, Taiwan R.O.C
| | - Jun-Han Su
- Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA
| | - Louise Ferrall
- Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - Chien-Fu Hung
- Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
- Department of Oncology, Johns Hopkins University, Baltimore, MD, USA
- Department of Obstetrics and Gynecology, Johns Hopkins University, Baltimore, MD, USA
| | - T-C Wu
- Department of Pathology, Johns Hopkins University, Baltimore, MD, USA.
- Department of Oncology, Johns Hopkins University, Baltimore, MD, USA.
- Department of Obstetrics and Gynecology, Johns Hopkins University, Baltimore, MD, USA.
- Department of Microbiology and Immunology, Johns Hopkins University, Baltimore, MD, USA.
- The Johns Hopkins Medical Institutions, CRB II Room 309, 1550 Orleans St, MD, 21231, Baltimore, USA.
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