1
|
Ku JH, Rayens E, Sy LS, Qian L, Ackerson BK, Luo Y, Tubert JE, Lee GS, Modha PP, Park Y, Sun T, Anderson EJ, Tseng HF. Comparative Effectiveness of Licensed Influenza Vaccines in Preventing Influenza-related Medical Encounters and Hospitalizations in the 2022-2023 Influenza Season Among Adults ≥65 Years of Age. Clin Infect Dis 2024; 79:1283-1292. [PMID: 39166857 PMCID: PMC11581696 DOI: 10.1093/cid/ciae375] [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: 05/02/2024] [Indexed: 08/23/2024] Open
Abstract
BACKGROUND Influenza causes substantial morbidity, particularly among older individuals. Updated data on the effectiveness of currently licensed vaccines in this population are needed. METHODS At Kaiser Permanente Southern California, we conducted a retrospective cohort study to evaluate comparative vaccine effectiveness (cVE) of high-dose (HD), adjuvanted, and standard-dose (SD) cell-based influenza vaccines, relative to the SD egg-based vaccine. We included adults aged ≥65 years who received an influenza vaccine between 1 August 2022 and 31 December 2022, with follow-up up to 20 May 2023. Primary outcomes were: (1) influenza-related medical encounters and (2) polymerase chain reaction (PCR)-confirmed influenza-related hospitalization. Adjusted hazard ratios (aHR) were estimated by Cox proportional hazards regression, adjusting for confounders using inverse probability of treatment weighting (IPTW). cVE (%) was calculated as (1-aHR) × 100 when aHR ≤1, and ([1/aHR]-1) × 100 when aHR >1. RESULTS Our study population (n = 495 119) was 54.9% female, 46.3% non-Hispanic White, with a median age of 73 years (interquartile range [IQR] 69-79). Characteristics of all groups were well balanced after IPTW. Adjusted cVEs against influenza-related medical encounters in the HD, adjuvanted, and SD cell-based vaccine groups were 9.1% (95% confidence interval [CI]: .9, 16.7), 16.9% (95% CI: 1.7, 29.8), and -6.3 (95% CI: -18.3, 6.9), respectively. Adjusted cVEs against PCR-confirmed hospitalization in the HD, adjuvanted, and SD cell-based groups were 25.1% (95% CI: .2, 43.8), 61.6% (95% CI: 18.1, 82.0), and 26.4% (95% CI: -18.3, 55.7), respectively. CONCLUSIONS Compared to the SD egg-based vaccine, HD and adjuvanted vaccines conferred additional protection against influenza-related outcomes in the 2022-2023 season in adults ≥65 years. Our results provide real-world evidence of the comparative effectiveness of currently licensed vaccines.
Collapse
Affiliation(s)
- Jennifer H Ku
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
| | - Emily Rayens
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
| | - Lina S Sy
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
| | - Lei Qian
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
| | - Bradley K Ackerson
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
| | - Yi Luo
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
| | - Julia E Tubert
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
| | - Gina S Lee
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
| | - Punam P Modha
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
| | | | - Tianyu Sun
- Moderna Inc., Cambridge, Massachusetts, USA
| | | | - Hung Fu Tseng
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA
- Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California, USA
| |
Collapse
|
2
|
Islam SRU, Ghosh AK, Begum MN, Siddike Shakil MS, Jahan M, Huda AQ. The Distribution of Respiratory Viral Pathogens Among the Symptomatic Respiratory Tract Infection Patients From Dhaka City in the Pre-COVID-19 Pandemic Era. Cureus 2024; 16:e70781. [PMID: 39493125 PMCID: PMC11531312 DOI: 10.7759/cureus.70781] [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] [Accepted: 10/03/2024] [Indexed: 11/05/2024] Open
Abstract
Rapid and accurate diagnosis is crucial for determining the etiology and, perhaps, effectively treating and preventing viral respiratory infections. A multiplex quantitative reverse transcription polymerase chain reaction (qRT-PCR) assay was utilized to determine the prevalence of viral etiology in cases of acute respiratory tract infections (ARTIs). Outpatient department (OPD) and intensive care unit (ICU) patients with fever and respiratory symptoms were enrolled from December 2018 to April 2020. Nucleic acids were extracted from the respiratory tract samples using the SV Total RNA Isolation System (Promega Corporation, Madison, WI), and virus identification was performed using qRT-PCR assay (Fast Track Diagnostics {FTD} Respiratory Pathogens, Esch-sur-Alzette, Luxembourg). A total of 152 samples were collected from OPD and ICU. Among them, 32.23% (n = 49) of the patients were positive for at least one respiratory virus. From 49 infected cases, 42 had only a single viral pathogen, whereas seven had co-infections. Of the patients, 32.25% (30) in the OPD and 32.20% (19) in the ICU tested positive for the respiratory viral pathogen. Among the OPD patients, human coronaviruses (HCoVs) OC43, 229E, NL63, and HKU1 were detected as predominant viruses (10.75%), followed by influenza virus (IFV) (8.6%), human rhinoviruses (HRVs) (6.45%), human parainfluenza viruses (HPIVs) (6.45%), respiratory syncytial virus (RSV) (3.22%), and adenovirus (2.15%). In ICU cases, HPIV and HRV were detected as predominant viruses (8.47% each), followed by HCoV (5.08%), human metapneumovirus (HMPV) (5.08%), influenza A virus (IAV) (3.38%), adenovirus (3.38%), and RSV (1.69%). This study highlighted the prevalence of respiratory viruses in both the community and hospital settings during pre-COVID-19, indicating a significant presence among patients in these environments.
Collapse
Affiliation(s)
- Sm Rashed Ul Islam
- Virology, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, BGD
| | | | - Mst Nurjahan Begum
- Anesthesia, Analgesia, and Intensive Care Medicine, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, BGD
| | | | - Munira Jahan
- Virology, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, BGD
| | - Ak Qumrul Huda
- Anesthesia, Analgesia, and Intensive Care Medicine, Bangabandhu Sheikh Mujib Medical University (BSMMU), Dhaka, BGD
| |
Collapse
|
3
|
Carazo S, Guay CA, Skowronski DM, Amini R, Charest H, De Serres G, Gilca R. Influenza Hospitalization Burden by Subtype, Age, Comorbidity, and Vaccination Status: 2012-2013 to 2018-2019 Seasons, Quebec, Canada. Clin Infect Dis 2024; 78:765-774. [PMID: 37819010 DOI: 10.1093/cid/ciad627] [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: 07/24/2023] [Revised: 09/26/2023] [Accepted: 10/10/2023] [Indexed: 10/13/2023] Open
Abstract
BACKGROUND Influenza immunization programs aim to reduce the risk and burden of severe outcomes. To inform optimal program strategies, we monitored influenza hospitalizations over 7 seasons, stratified by age, comorbidity, and vaccination status. METHODS We assembled data from 4 hospitals involved in an active surveillance network with systematic collection of nasal samples and polymerase chain reaction testing for influenza virus in all patients admitted through the emergency department with acute respiratory infection during the 2012-2013 to 2018-2019 influenza seasons in Quebec, Canada. We estimated seasonal, population-based incidence of influenza-associated hospitalizations by subtype predominance, age, comorbidity, and vaccine status, and derived the number needed to vaccinate to prevent 1 hospitalization per stratum. RESULTS The average seasonal incidence of influenza-associated hospitalization was 89/100 000 (95% confidence interval, 86-93), lower during A(H1N1) (49-82/100 000) than A(H3N2) seasons (73-143/100 000). Overall risk followed a J-shaped age pattern, highest among infants 0-5 months and adults ≥75 years old. Hospitalization risks were highest for children <5 years old during A(H1N1) but for highest adults aged ≥75 years during A(H3N2) seasons. Age-adjusted hospitalization risks were 7-fold higher among individuals with versus without comorbid conditions (214 vs 30/100 000, respectively). The number needed to vaccinate to prevent hospitalization was 82-fold lower for ≥75-years-olds with comorbid conditions (n = 1995), who comprised 39% of all hospitalizations, than for healthy 18-64-year-olds (n = 163 488), who comprised just 6% of all hospitalizations. CONCLUSIONS In the context of broad-based influenza immunization programs (targeted or universal), severe outcome risks should be simultaneously examined by subtype, age, comorbidity, and vaccine status. Policymakers require such detail to prioritize promotional efforts and expenditures toward the greatest and most efficient program impact.
Collapse
Affiliation(s)
- Sara Carazo
- Biological Risks Unit, Institut National de Santé Publique du Québec, Quebec City, Quebec, Canada
- Faculty of Medicine, Laval University, Quebec City, Quebec, Canada
| | - Charles-Antoine Guay
- Biological Risks Unit, Institut National de Santé Publique du Québec, Quebec City, Quebec, Canada
- Faculty of Medicine, Laval University, Quebec City, Quebec, Canada
- Pulmonary Hypertension Research Group, Centre de Recherche de l'Institut Universitaire de Cardiologie et de Pneumologie de Québec, Quebec City, Quebec, Canada
- Département des Sciences de la Santé Communautaire, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Danuta M Skowronski
- Communicable Diseases and Immunization Services, British Columbia Centre for Disease Control, Vancouver, British Columbia, Canada
| | - Rachid Amini
- Biological Risks Unit, Institut National de Santé Publique du Québec, Quebec City, Quebec, Canada
| | - Hugues Charest
- Laboratoire de Santé Publique du Québec, Institut National de Santé Publique du Québec, Sainte-Anne-de-Bellevue, Quebec, Canada
- Faculty of Medicine, Université de Montréal, Montreal, Quebec, Canada
| | - Gaston De Serres
- Biological Risks Unit, Institut National de Santé Publique du Québec, Quebec City, Quebec, Canada
- Faculty of Medicine, Laval University, Quebec City, Quebec, Canada
- Centre Hospitalier Universitaire (CHU) de Québec-Université Laval Research Center, Quebec City, Quebec, Canada
| | - Rodica Gilca
- Biological Risks Unit, Institut National de Santé Publique du Québec, Quebec City, Quebec, Canada
- Faculty of Medicine, Laval University, Quebec City, Quebec, Canada
- Centre Hospitalier Universitaire (CHU) de Québec-Université Laval Research Center, Quebec City, Quebec, Canada
| |
Collapse
|
4
|
Acute Respiratory Tract Infections among Hospitalized Palestinian Patients (2011-2016): A Retrospective Study. ACTA ACUST UNITED AC 2021; 2021:5643134. [PMID: 34055115 PMCID: PMC8112942 DOI: 10.1155/2021/5643134] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2020] [Revised: 02/24/2021] [Accepted: 04/26/2021] [Indexed: 10/27/2022]
Abstract
Respiratory tract infections (RTIs) are a major public health concern. This study aims to investigate the profiles and epidemiological characteristics of acute RTIs and respiratory pathogens in Palestinian hospitalized patients. Clinical samples from hospitalized patients with symptoms of acute RTIs admitted between January 2011 and December 2016 were referred to the Palestinian Central Public Health Laboratory (PHCL) to identify the causative pathogen. Patients' demographic information and the results of the molecular identification were retrieved from the electronic database at the PHCL. A total of 15413 patients with acute RTIs were hospitalized during the study period. The causal agent was identified only in 28.7% of the patients. Overall, influenza viruses were the most common cause of RTIs among hospitalized Palestinian patients in the West Bank. Children and elderlies were the most affected with RTIs. The elderly population (≥60 years old) had the highest rates. After influenza A virus, respiratory syncytial virus (RSV), and Bordetella pertussis (B. pertussis) were the most common causes of acute RTIs among hospitalized Palestinian patients. Children showed the highest hospitalization rates for RSV, B. pertussis, adenovirus, enterovirus, and Streptococcus pneumoniae. On the other hand, elderlies had the highest rates of influenza. Outbreaks of RTIs occurred mainly during winter (between December and March). The resurgence of B. pertussis in spite of vaccination is alarming and requires further investigation.
Collapse
|
5
|
Mailepessov D, Aik J, Seow WJ. A time series analysis of the short-term association between climatic variables and acute respiratory infections in Singapore. Int J Hyg Environ Health 2021; 234:113748. [PMID: 33862488 DOI: 10.1016/j.ijheh.2021.113748] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 03/09/2021] [Accepted: 03/27/2021] [Indexed: 11/17/2022]
Abstract
BACKGROUND Acute respiratory infections (ARIs) are among the most common human illnesses globally. Previous studies that examined the associations between climate variability and ARIs or ARI pathogens have reported inconsistent findings. Few studies have been conducted in Southeast Asia to date, and the impact of climatic factors are not well-understood. This study aimed to investigate the short-term associations between climate variability and ARIs in Singapore. METHODS We obtained reports of ARIs from all government primary healthcare services from 2005 to 2019 and analysed their dependence on mean ambient temperature, minimum temperature and maximum temperature using the distributed lag non-linear framework. Separate negative binomial regression models were used to estimate the association between each temperature (mean, minimum, maximum temperature) and ARIs, adjusted for seasonality and long-term trend, rainfall, relative humidity, public holidays and autocorrelations. For temperature variables and relative humidity we reported cumulative relative risks (RRs) at 10th and 90th percentiles compared to the reference value (centered at their medians) with corresponding 95% confidence intervals (CIs). For rainfall we reported RRs at 50th and 90th percentiles compared to 0 mm with corresponding 95% CIs. RESULTS Statistically significant inverse S-curve shaped associations were observed between all three temperature variables (mean, minimum, maximum) and ARIs. A decrease of 1.1 °C from the median value of 27.8 °C to 26.7 °C (10th percentile) in the mean temperature was associated with a 6% increase (RR: 1.06, 95% CI: 1.03 to 1.09) in ARIs. ARIs also increased at 23.9 °C (10th percentile) compared to 24.9 °C of minimum temperature (RR: 1.11, 95% CI: 1.07 to 1.16). The effect of maximum temperature for the same comparison (30.5 °C vs 31.7 °C) was non-significant (RR: 1.02, 95% CI: 0.99 to 1.05). An increase in ambient temperature to 28.9 °C (90th percentile) was associated with an 18% decrease (RR: 0.82, 95% CI: 0.80 to 0.83) in ARIs. Similarly, ARIs decreased with the same increase to 90th percentile in minimum (RR: 0.84, 95% CI: 0.80 to 0.87) and maximum (RR: 0.89, 95% CI: 0.86 to 0.93) temperatures. Rainfall was inversely associated with ARIs and displayed similar shape in all three temperature models. Relative humidity, on the other hand, exhibited a U-shaped relationship with ARIs. CONCLUSION Our findings suggest that lower temperatures increase the risk of ARIs. Anticipated extreme weather events that reduce ambient temperature can be used to inform increased healthcare resource allocation for ARIs.
Collapse
Affiliation(s)
- Diyar Mailepessov
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, 117549, Singapore; Environmental Health Institute, National Environment Agency, 11 Biopolis Way #06-05/08, Helios Block, 138667, Singapore.
| | - Joel Aik
- Environmental Health Institute, National Environment Agency, 11 Biopolis Way #06-05/08, Helios Block, 138667, Singapore; Pre-hospital and Emergency Research Centre, Duke-NUS Medical School, 8 College Road, 169857, Singapore
| | - Wei Jie Seow
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, 117549, Singapore; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, 10 Medical Drive, 117597, Singapore
| |
Collapse
|
6
|
Aung AH, Lye DC, Cui L, Ooi CK, Chow ALP. The "timeless" use of influenza-like illness criteria for influenza detection in the tropics. Int J Infect Dis 2021; 106:160-168. [PMID: 33741485 DOI: 10.1016/j.ijid.2021.03.045] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2020] [Revised: 03/09/2021] [Accepted: 03/11/2021] [Indexed: 10/21/2022] Open
Abstract
OBJECTIVE We assessed the performance of influenza-like illness (ILI) case definitions by the Centers for Disease Control and Prevention (CDC), European Centers for Disease Control and Prevention and World Health Organization (WHO) in the tropics where seasonal patterns of respiratory viruses in acute upper respiratory tract infections (AURTIs) are ill-defined. METHODS Clinical data and samples for respiratory multiplex polymerase chain reaction test were collected from 717 consecutive patients attending an emergency department in Singapore for uncomplicated AURTI in 2016-2018. RESULTS Influenza (20.6%), rhinoviruses (14.4%), and coronaviruses (3.6%) were the most common viral pathogens identified. Biannual peaks with year-round activity were identified for influenza. Although higher rhinovirus activity was observed in inter-influenza seasonal periods, rhinoviruses and coronaviruses circulated year-round without distinct seasonal patterns. During high influenza activity months, the CDC and WHO ILI case definitions had moderate-to-high positive likelihood ratio (LR+) of 3.8-6.8 and 4.5-10.7, respectively, for ruling in influenza. They had moderately-high LR + of 3.3-3.8 and 3.9-4.6 for diagnosing influenza during other months. The ILI case definitions had high specificity (77.2%-85.4%) for rhinoviruses and coronaviruses. CONCLUSION The CDC and WHO ILI case definitions can be applied to clinically diagnose influenza in the tropics, regardless of the time of the year.
Collapse
Affiliation(s)
- Aung H Aung
- Department of Clinical Epidemiology, Office of Clinical Epidemiology, Analytics, and Knowledge, Tan Tock Seng Hospital, Singapore
| | - David C Lye
- Department of Infectious Disease, Tan Tock Seng Hospital, Singapore
| | - Lin Cui
- National Public Health Laboratory, Ministry of Health, Singapore
| | - Chee K Ooi
- Department of Emergency Medicine, Tan Tock Seng Hospital, Singapore
| | - Angela L P Chow
- Department of Clinical Epidemiology, Office of Clinical Epidemiology, Analytics, and Knowledge, Tan Tock Seng Hospital, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
| |
Collapse
|
7
|
Chen Y, Mah MG, Low JG, Ooi EE, Su YC, Moorthy M, Smith GJ, Linster M. Etiology of febrile respiratory infections in the general adult population in Singapore, 2007-2013. Heliyon 2021; 7:e06329. [PMID: 33665466 PMCID: PMC7907478 DOI: 10.1016/j.heliyon.2021.e06329] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 01/11/2021] [Accepted: 02/17/2021] [Indexed: 12/12/2022] Open
Abstract
Pathogens that cause upper respiratory infections are numerous and specific preventive and therapeutic strategies are scarce. In order to ascertain the etiological agents resulting in upper respiratory tract infections (URTI) in adults in Singapore, nasal swab samples were collected from 2057 patients presenting with fever at primary healthcare clinics in Singapore from December 2007 to February 2013. Samples were tested using the Luminex NxTAG Respiratory Pathogen Panel that includes 22 respiratory pathogen targets. Patient-reported symptoms and vital signs were recorded and full blood and differential counts taken. Pathogens were detected in the following order of frequency: influenza viruses, rhino-/enteroviruses, coronaviruses, parainfluenza viruses, pneumoviruses, adenovirus, bocavirus and C. pneumoniae. Fifteen virus species were detected as part of coinfections, in which rhinoviruses were the most commonly observed pathogen. Our results suggest that influenza viruses are the main etiological agents, but multiple other respiratory viruses contribute to the total burden of URTI in adults in Singapore.
Collapse
Affiliation(s)
- Yihui Chen
- Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore 169857, Singapore
| | - Marcus G. Mah
- Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore 169857, Singapore
| | - Jenny G.H. Low
- Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore 169857, Singapore
- Department of Infectious Diseases, Singapore General Hospital, Singapore 169856, Singapore
| | - Eng Eong Ooi
- Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore 169857, Singapore
| | - Yvonne C.F. Su
- Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore 169857, Singapore
| | - Mahesh Moorthy
- Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore 169857, Singapore
| | - Gavin J.D. Smith
- Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore 169857, Singapore
- SingHealth Duke-NUS Global Health Institute, SingHealth Duke-NUS Academic Medical Centre, Singapore
- Duke Global Health Institute, Duke University, Durham, North Carolina 27708, USA
- Corresponding author.
| | - Martin Linster
- Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore 169857, Singapore
- Corresponding author.
| |
Collapse
|
8
|
Goh YS, Chavatte JM, Lim Jieling A, Lee B, Hor PX, Amrun SN, Lee CYP, Chee RSL, Wang B, Lee CY, Ngoh EZX, Wang CI, Young BE, Tambyah PA, Kalimuddin S, Pada S, Tan SY, Sun LJ, Chen MIC, Leo YS, Lye DC, Ng LFP, Lin RTP, Renia L. Sensitive detection of total anti-Spike antibodies and isotype switching in asymptomatic and symptomatic individuals with COVID-19. CELL REPORTS MEDICINE 2021; 2:100193. [PMID: 33495757 PMCID: PMC7816583 DOI: 10.1016/j.xcrm.2021.100193] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 12/06/2020] [Accepted: 01/12/2021] [Indexed: 01/01/2023]
Abstract
Early detection of infection is crucial to limit the spread of coronavirus disease 2019 (COVID-19). Here we develop a flow cytometry-based assay to detect severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike (S) protein antibodies in individuals with COVID-19. The assay detects specific immunoglobulin M (IgM), IgA, and IgG in individuals with COVID-19 and also acquisition of all IgG subclasses, with IgG1 being the most dominant. The antibody response is significantly higher at a later stage of infection. Furthermore, asymptomatic individuals with COVID-19 also develop specific IgM, IgA, and IgG, with IgG1 being the most dominant subclass. Although the antibody levels are lower in asymptomatic infection, the assay is highly sensitive and detects 97% of asymptomatic infections. These findings demonstrate that the assay can be used for serological analysis of symptomatic and asymptomatic infections, which may otherwise remain undetected. Flow cytometry assay detects specific antibodies in symptomatic individuals with COVID-19 Asymptomatic individuals with COVID-19 also develop specific antibodies IgG1 is the dominant IgG subclass in symptomatic and asymptomatic individuals The assay is highly sensitive and detects 97% of asymptomatic infections
Collapse
Affiliation(s)
- Yun Shan Goh
- Infectious Diseases Laboratories (ID Labs), Agency for Science, Technology and Research (A∗STAR), Immunos, Biopolis, Singapore 138648, Singapore.,Singapore Immunology Network, Agency for Science, Technology and Research (A∗STAR), Immunos, Biopolis, Singapore 138648, Singapore
| | - Jean-Marc Chavatte
- National Centre for Infectious Diseases, 16 Jalan Tan Tock Seng, Singapore 308442, Singapore
| | - Alicia Lim Jieling
- National Centre for Infectious Diseases, 16 Jalan Tan Tock Seng, Singapore 308442, Singapore
| | - Bernett Lee
- Singapore Immunology Network, Agency for Science, Technology and Research (A∗STAR), Immunos, Biopolis, Singapore 138648, Singapore
| | - Pei Xiang Hor
- Infectious Diseases Laboratories (ID Labs), Agency for Science, Technology and Research (A∗STAR), Immunos, Biopolis, Singapore 138648, Singapore.,Singapore Immunology Network, Agency for Science, Technology and Research (A∗STAR), Immunos, Biopolis, Singapore 138648, Singapore
| | - Siti Naqiah Amrun
- Infectious Diseases Laboratories (ID Labs), Agency for Science, Technology and Research (A∗STAR), Immunos, Biopolis, Singapore 138648, Singapore.,Singapore Immunology Network, Agency for Science, Technology and Research (A∗STAR), Immunos, Biopolis, Singapore 138648, Singapore
| | - Cheryl Yi-Pin Lee
- Infectious Diseases Laboratories (ID Labs), Agency for Science, Technology and Research (A∗STAR), Immunos, Biopolis, Singapore 138648, Singapore.,Singapore Immunology Network, Agency for Science, Technology and Research (A∗STAR), Immunos, Biopolis, Singapore 138648, Singapore
| | - Rhonda Sin-Ling Chee
- Infectious Diseases Laboratories (ID Labs), Agency for Science, Technology and Research (A∗STAR), Immunos, Biopolis, Singapore 138648, Singapore.,Singapore Immunology Network, Agency for Science, Technology and Research (A∗STAR), Immunos, Biopolis, Singapore 138648, Singapore
| | - Bei Wang
- Singapore Immunology Network, Agency for Science, Technology and Research (A∗STAR), Immunos, Biopolis, Singapore 138648, Singapore
| | - Chia Yin Lee
- Singapore Immunology Network, Agency for Science, Technology and Research (A∗STAR), Immunos, Biopolis, Singapore 138648, Singapore
| | - Eve Zhi Xian Ngoh
- Singapore Immunology Network, Agency for Science, Technology and Research (A∗STAR), Immunos, Biopolis, Singapore 138648, Singapore
| | - Cheng-I Wang
- Singapore Immunology Network, Agency for Science, Technology and Research (A∗STAR), Immunos, Biopolis, Singapore 138648, Singapore
| | - Barnaby Edward Young
- National Centre for Infectious Diseases, 16 Jalan Tan Tock Seng, Singapore 308442, Singapore.,Department of Infectious Diseases, Tan Tock Seng Hospital, 11 Jalan Tan Tock Seng, Singapore 308433, Singapore.,Lee Kong Chian School of Medicine, Nanyang Technological University, 11 Mandalay Road, Singapore 308232, Singapore
| | - Paul A Tambyah
- National Centre for Infectious Diseases, 16 Jalan Tan Tock Seng, Singapore 308442, Singapore.,Department of Medicine, National University Hospital, 5 Lower Kent Ridge Road, Singapore 119074, Singapore
| | - Shirin Kalimuddin
- Department of Infectious Diseases, Singapore General Hospital, 31 Third Hospital Ave, Singapore 168753, Singapore.,Emerging Infectious Disease Program, Duke-NUS Medical School, 8 College Road, Singapore 169857, Singapore
| | - Surinder Pada
- Division of Infectious Diseases, Ng Teng Fong Hospital, 1 Jurong East Street 21, Singapore 609606, Singapore
| | - Seow-Yen Tan
- Department of Infectious Diseases, Changi General Hospital, 2 Simei Street 3, Singapore 529889, Singapore
| | - Louisa Jin Sun
- Alexandra Hospital, 378 Alexandra Road, Singapore 159964, Singapore
| | - Mark I-Cheng Chen
- National Centre for Infectious Diseases, 16 Jalan Tan Tock Seng, Singapore 308442, Singapore.,Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, Singapore 117549, Singapore
| | - Yee-Sin Leo
- National Centre for Infectious Diseases, 16 Jalan Tan Tock Seng, Singapore 308442, Singapore.,Department of Infectious Diseases, Tan Tock Seng Hospital, 11 Jalan Tan Tock Seng, Singapore 308433, Singapore.,Lee Kong Chian School of Medicine, Nanyang Technological University, 11 Mandalay Road, Singapore 308232, Singapore.,Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, 10 Medical Drive, Singapore 117597, Singapore
| | - David C Lye
- National Centre for Infectious Diseases, 16 Jalan Tan Tock Seng, Singapore 308442, Singapore.,Department of Infectious Diseases, Tan Tock Seng Hospital, 11 Jalan Tan Tock Seng, Singapore 308433, Singapore.,Lee Kong Chian School of Medicine, Nanyang Technological University, 11 Mandalay Road, Singapore 308232, Singapore.,Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, 10 Medical Drive, Singapore 117597, Singapore
| | - Lisa F P Ng
- Infectious Diseases Laboratories (ID Labs), Agency for Science, Technology and Research (A∗STAR), Immunos, Biopolis, Singapore 138648, Singapore.,Singapore Immunology Network, Agency for Science, Technology and Research (A∗STAR), Immunos, Biopolis, Singapore 138648, Singapore.,Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117596, Singapore.,National Institute of Health Research, Health Protection Research Unit in Emerging and Zoonotic Infections, University of Liverpool, Liverpool, UK.,Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK.,Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
| | - Raymond Tzer Pin Lin
- National Centre for Infectious Diseases, 16 Jalan Tan Tock Seng, Singapore 308442, Singapore.,Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, 10 Medical Drive, Singapore 117597, Singapore
| | - Laurent Renia
- Infectious Diseases Laboratories (ID Labs), Agency for Science, Technology and Research (A∗STAR), Immunos, Biopolis, Singapore 138648, Singapore.,Singapore Immunology Network, Agency for Science, Technology and Research (A∗STAR), Immunos, Biopolis, Singapore 138648, Singapore.,Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
| |
Collapse
|
9
|
Parhizkar Roudsari P, Alavi-Moghadam S, Payab M, Sayahpour FA, Aghayan HR, Goodarzi P, Mohamadi-jahani F, Larijani B, Arjmand B. Auxiliary role of mesenchymal stem cells as regenerative medicine soldiers to attenuate inflammatory processes of severe acute respiratory infections caused by COVID-19. Cell Tissue Bank 2020; 21:405-425. [PMID: 32588163 PMCID: PMC7315014 DOI: 10.1007/s10561-020-09842-3] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Accepted: 06/13/2020] [Indexed: 02/07/2023]
Abstract
Acute respiratory infections as one of the most common problems of healthcare systems also can be considered as an important reason for worldwide morbidity and mortality from infectious diseases. Coronaviruses are a group of well-known respiratory viruses that can cause acute respiratory infections. At the current state, the 2019 novel coronavirus is cited as the most worldwide problematic agent for the respiratory system. According to investigations, people with old age and underlying diseases are at higher risk of 2019 novel coronavirus infection. Indeed, they may show a severe form of the disease (with severe acute respiratory infections). Based on the promising role of cell therapy and regenerative medicine approaches in the treatment of several life-threatening diseases, it seems that applying cell-based approaches can also be a hopeful strategy for improving subjects with severe acute respiratory infections caused by the 2019 novel coronavirus. Herein, due to the amazing effects of mesenchymal stem cells in the treatment of various diseases, this review focuses on the auxiliary role of mesenchymal stem cells to reduce inflammatory processes of acute respiratory infections caused by the 2019 novel coronavirus.
Collapse
Affiliation(s)
- Peyvand Parhizkar Roudsari
- Metabolomics and Genomics Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Sepideh Alavi-Moghadam
- Cell Therapy and Regenerative Medicine Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Moloud Payab
- Obesity and Eating Habits Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Forough Azam Sayahpour
- Department of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran
| | - Hamid Reza Aghayan
- Cell Therapy and Regenerative Medicine Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Parisa Goodarzi
- Brain and Spinal Cord Injury Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Fereshteh Mohamadi-jahani
- Brain and Spinal Cord Injury Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Bagher Larijani
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Babak Arjmand
- Metabolomics and Genomics Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Cell Therapy and Regenerative Medicine Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| |
Collapse
|
10
|
Young B, Sadarangani S, Haur SY, Yung CF, Barr I, Connolly J, Chen M, Wilder-Smith A. Semiannual Versus Annual Influenza Vaccination in Older Adults in the Tropics: An Observer-blind, Active-comparator-controlled, Randomized Superiority Trial. Clin Infect Dis 2020; 69:121-129. [PMID: 30277500 DOI: 10.1093/cid/ciy836] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Accepted: 09/28/2018] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Antibody titres and vaccine effectiveness decline within 6 months after influenza vaccination in older adults. Biannual vaccination may be necessary to provide year-round protection in the tropics, where influenza circulates throughout the year. METHODS Tropical Influenza Control Strategies (TROPICS1) was a single-center, 1:1 randomized, observer-blinded, active-comparator-controlled, superiority study in 200 community-resident adults aged ≥65 years. Participants received a standard-dose trivalent inactivated influenza vaccination (IIV3) at enrollment, and either tetanus-diphtheria-pertussis vaccination or IIV3 6 months later. The primary outcome was the proportion of participants with haemagglutination-inhibition (HI) geometric mean titre (GMT) ≥1:40 1 month after the second vaccination (month 7). Secondary outcomes included GMTs to month 12, the incidence of influenza-like illness (ILI), and adverse reactions after vaccination. RESULTS At month 7, the proportion of participants with an HI tire ≥1:40 against A/H1N1 increased by 21.4% (95% confidence interval [CI] 8.6-33.4) in the semiannual vaccination group. This proportion was not significantly higher for A/H3N2 (4.3, 95% CI -1.1-10.8) or B (2.1, 95% CI -2.0-7.3). Semiannual vaccination significantly increased GMTs against A/H1N1 and A/H3N2, but not B, at month 7. Participants receiving a repeat vaccination of IIV3 reported a significantly lower incidence of ILI in the 6 months after the second vaccination (relative vaccine effectiveness 57.1%, 95% CI 0.6-81.5). The frequency of adverse events was similar after the first and second influenza vaccinations. CONCLUSIONS Semiannual influenza vaccination in older residents of tropical countries has the potential to improve serological measures of protection against infection. Alternative vaccination strategies should also be studied. CLINICAL TRIALS REGISTRATION NCT02655874.
Collapse
Affiliation(s)
- Barnaby Young
- National Centre for Infectious Diseases.,Tan Tock Seng Hospital.,Lee Kong Chian School of Medicine, Nanyang Technological University
| | - Sapna Sadarangani
- National Centre for Infectious Diseases.,Tan Tock Seng Hospital.,Lee Kong Chian School of Medicine, Nanyang Technological University
| | - Sen Yew Haur
- National Centre for Infectious Diseases.,Tan Tock Seng Hospital
| | - Chee Fu Yung
- Infectious Disease Service, KK Women's and Children's Hospital, Singapore
| | - Ian Barr
- World Health Organization Collaborating Centre for Reference and Research on Influenza, Melbourne.,Department of Microbiology and Immunology, The University of Melbourne, Parkville.,Faculty of Science and Technology, Federation University Australia, Gippsland Campus, Churchill, Victoria, Australia
| | - John Connolly
- Lee Kong Chian School of Medicine, Nanyang Technological University.,Institute of Molecular and Cellular Biology, Proteos
| | - Mark Chen
- National Centre for Infectious Diseases.,Tan Tock Seng Hospital.,Saw Swee Hock School of Public Health, Tahir Foundation Building, National University of Singapore, Singapore
| | - Annelies Wilder-Smith
- Lee Kong Chian School of Medicine, Nanyang Technological University.,Institute of Public Health, University of Heidelberg, Germany
| |
Collapse
|
11
|
Nguyen TTK, Ngo TT, Tran PM, Pham TTT, Vu HTT, Nguyen NTH, Thwaites G, Virtala AK, Vapalahti O, Baker S, Le Van T. Respiratory viruses in individuals with a high frequency of animal exposure in southern and highland Vietnam. J Med Virol 2020; 92:971-981. [PMID: 31769525 PMCID: PMC7228379 DOI: 10.1002/jmv.25640] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Accepted: 11/22/2019] [Indexed: 12/23/2022]
Abstract
Active surveillance for zoonotic respiratory viruses is essential to inform the development of appropriate interventions and outbreak responses. Here we target individuals with a high frequency of animal exposure in Vietnam. Three-year community-based surveillance was conducted in Vietnam during 2013-2016. We enrolled a total of 581 individuals (animal-raising farmers, slaughterers, animal-health workers, and rat traders), and utilized reverse transcription-polymerase chain reaction to detect 15 common respiratory viruses in pooled nasal-throat swabs collected at baseline or acute respiratory disease episodes. A respiratory virus was detected in 7.9% (58 of 732) of baseline samples, and 17.7% (136 of 770) of disease episode samples (P < .001), with enteroviruses (EVs), rhinoviruses and influenza A virus being the predominant viruses detected. There were temporal and spatial fluctuations in the frequencies of the detected viruses over the study period, for example, EVs and influenza A viruses were more often detected during rainy seasons. We reported the detection of common respiratory viruses in individuals with a high frequency of animal exposure in Vietnam, an emerging infectious disease hotspot. The results show the value of baseline/control sampling in delineating the causative relationships and have revealed important insights into the ecological aspects of EVs, rhinoviruses and influenza A and their contributions to the burden posed by respiratory infections in Vietnam.
Collapse
Affiliation(s)
- Tu Thi Kha Nguyen
- Faculty of MedicineUniversity of HelsinkiHelsinkiFinland
- Oxford University Clinical Research UnitHo Chi Minh CityVietnam
- Dong Thap Provincial Center for Disease ControlDong Thap ProvinceVietnam
| | - Tue Tri Ngo
- Oxford University Clinical Research UnitHo Chi Minh CityVietnam
| | - Phuc My Tran
- Oxford University Clinical Research UnitHo Chi Minh CityVietnam
| | | | - Hang Thi Ty Vu
- Oxford University Clinical Research UnitHo Chi Minh CityVietnam
| | | | - Guy Thwaites
- Oxford University Clinical Research UnitHo Chi Minh CityVietnam
- Centre for Tropical Medicine and Global HealthOxford UniversityOxfordUnited Kingdom
| | - Anna‐Maija K. Virtala
- Department of Veterinary Biosciences, Faculty of Veterinary MedicineUniversity of HelsinkiHelsinkiFinland
| | - Olli Vapalahti
- Faculty of MedicineUniversity of HelsinkiHelsinkiFinland
- Department of Veterinary Biosciences, Faculty of Veterinary MedicineUniversity of HelsinkiHelsinkiFinland
- Department of Virology and ImmunologyHUSLAB, Helsinki University HospitalHelsinkiFinland
| | - Stephen Baker
- Oxford University Clinical Research UnitHo Chi Minh CityVietnam
- Centre for Tropical Medicine and Global HealthOxford UniversityOxfordUnited Kingdom
- Department of MedicineUniversity of CambridgeCambridgeUnited Kingdom
| | - Tan Le Van
- Oxford University Clinical Research UnitHo Chi Minh CityVietnam
| |
Collapse
|
12
|
A SARS-CoV-2 surrogate virus neutralization test based on antibody-mediated blockage of ACE2-spike protein-protein interaction. Nat Biotechnol 2020; 38:1073-1078. [PMID: 32704169 DOI: 10.1038/s41587-020-0631-z] [Citation(s) in RCA: 875] [Impact Index Per Article: 175.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2020] [Accepted: 07/08/2020] [Indexed: 12/16/2022]
Abstract
A robust serological test to detect neutralizing antibodies to SARS-CoV-2 is urgently needed to determine not only the infection rate, herd immunity and predicted humoral protection, but also vaccine efficacy during clinical trials and after large-scale vaccination. The current gold standard is the conventional virus neutralization test requiring live pathogen and a biosafety level 3 laboratory. Here, we report a SARS-CoV-2 surrogate virus neutralization test that detects total immunodominant neutralizing antibodies targeting the viral spike (S) protein receptor-binding domain in an isotype- and species-independent manner. Our simple and rapid test is based on antibody-mediated blockage of the interaction between the angiotensin-converting enzyme 2 (ACE2) receptor protein and the receptor-binding domain. The test, which has been validated with two cohorts of patients with COVID-19 in two different countries, achieves 99.93% specificity and 95-100% sensitivity, and differentiates antibody responses to several human coronaviruses. The surrogate virus neutralization test does not require biosafety level 3 containment, making it broadly accessible to the wider community for both research and clinical applications.
Collapse
|
13
|
Linear B-cell epitopes in the spike and nucleocapsid proteins as markers of SARS-CoV-2 exposure and disease severity. EBioMedicine 2020; 58:102911. [PMID: 32711254 PMCID: PMC7375792 DOI: 10.1016/j.ebiom.2020.102911] [Citation(s) in RCA: 97] [Impact Index Per Article: 19.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Revised: 06/25/2020] [Accepted: 07/08/2020] [Indexed: 12/29/2022] Open
Abstract
Background Given the unceasing worldwide surge in COVID-19 cases, there is an imperative need to develop highly specific and sensitive serology assays to define exposure to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Methods Pooled plasma samples from PCR positive COVID-19 patients were used to identify linear B-cell epitopes from a SARS-CoV-2 peptide library of spike (S), envelope (E), membrane (M), and nucleocapsid (N) structural proteins by peptide-based ELISA. Hit epitopes were further validated with 79 COVID-19 patients with different disease severity status, 13 seasonal human CoV, 20 recovered SARS patients and 22 healthy donors. Findings Four immunodominant epitopes, S14P5, S20P2, S21P2 and N4P5, were identified on the S and N viral proteins. IgG responses to all identified epitopes displayed a strong detection profile, with N4P5 achieving the highest level of specificity (100%) and sensitivity (>96%) against SARS-CoV-2. Furthermore, the magnitude of IgG responses to S14P5, S21P2 and N4P5 were strongly associated with disease severity. Interpretation IgG responses to the peptide epitopes can serve as useful indicators for the degree of immunopathology in COVID-19 patients, and function as higly specific and sensitive sero-immunosurveillance tools for recent or past SARS-CoV-2 infections. The flexibility of these epitopes to be used alone or in combination will allow for the development of improved point-of-care-tests (POCTs). Funding Biomedical Research Council (BMRC), the A*ccelerate GAP-funded project (ACCL/19-GAP064-R20H-H) from Agency of Science, Technology and Research (A*STAR), and National Medical Research Council (NMRC) COVID-19 Research fund (COVID19RF-001) and CCGSFPOR20002. ATR is supported by the Singapore International Graduate Award (SINGA), A*STAR.
Collapse
|
14
|
Althaus T, Thaipadungpanit J, Greer RC, Swe MMM, Dittrich S, Peerawaranun P, Smit PW, Wangrangsimakul T, Blacksell S, Winchell JM, Diaz MH, Day NPJ, Smithuis F, Turner P, Lubell Y. Causes of fever in primary care in Southeast Asia and the performance of C-reactive protein in discriminating bacterial from viral pathogens. Int J Infect Dis 2020; 96:334-342. [PMID: 32437937 PMCID: PMC7211754 DOI: 10.1016/j.ijid.2020.05.016] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 05/01/2020] [Accepted: 05/03/2020] [Indexed: 12/23/2022] Open
Abstract
OBJECTIVES This study investigated causes of fever in the primary levels of care in Southeast Asia, and evaluated whether C-reactive protein (CRP) could distinguish bacterial from viral pathogens. METHODS Blood and nasopharyngeal swab specimens were taken from children and adults with fever (>37.5 °C) or history of fever (<14 days) in Thailand and Myanmar. RESULTS Of 773 patients with at least one blood or nasopharyngeal swab specimen collected, 227 (29.4%) had a target organism detected. Influenza virus type A was detected in 85/227 cases (37.5%), followed by dengue virus (30 cases, 13.2%), respiratory syncytial virus (24 cases, 10.6%) and Leptospira spp. (nine cases, 4.0%). Clinical outcomes were similar between patients with a bacterial or a viral organism, regardless of antibiotic prescription. CRP was higher among patients with a bacterial organism compared with those with a viral organism (median 18 mg/L, interquartile range [10-49] versus 10 mg/L [≤8-22], p = 0.003), with an area under the curve of 0.65 (95% CI 0.55-0.75). CONCLUSIONS Serious bacterial infections requiring antibiotics are an exception rather than the rule in the first line of care. CRP testing could assist in ruling out such cases in settings where diagnostic uncertainty is high and routine antibiotic prescription is common. The original CRP randomised controlled trial was registered with ClinicalTrials.gov, number NCT02758821.
Collapse
Affiliation(s)
- Thomas Althaus
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand; Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom.
| | - Janjira Thaipadungpanit
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Rachel C Greer
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand; Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom
| | - Myo Maung Maung Swe
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand; Myanmar-Oxford Clinical Research Unit (MOCRU), Medical Action Myanmar (MAM), Yangon, Myanmar
| | - Sabine Dittrich
- Foundation for Innovative New Diagnostics (FIND), Geneva, Switzerland
| | - Pimnara Peerawaranun
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Pieter W Smit
- Maasstad Ziekenhuis Hospital, Department of Medical Microbiology, Rotterdam, The Netherlands; Public Health Laboratory (GGD), Amsterdam, The Netherlands
| | - Tri Wangrangsimakul
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand; Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom
| | - Stuart Blacksell
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand; Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom
| | - Jonas M Winchell
- Division of Bacterial Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Maureen H Diaz
- Division of Bacterial Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Nicholas P J Day
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand; Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom
| | - Frank Smithuis
- Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom; Myanmar-Oxford Clinical Research Unit (MOCRU), Medical Action Myanmar (MAM), Yangon, Myanmar
| | - Paul Turner
- Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom; Cambodia-Oxford Medical Research Unit (COMRU), Angkor Hospital for Children, Siem Reap, Cambodia
| | - Yoel Lubell
- Mahidol-Oxford Tropical Medicine Research Unit (MORU), Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand; Centre for Tropical Medicine and Global Health, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom
| |
Collapse
|
15
|
Chen ICM, Loh JP, Chuah CXP, Gao QHC, Sun Y, Ng SH, Koh WHV, Goh EH, Zhao X, Tambyah PA, Cook AR, Chng J, Pang J, Tan BH, Lee VJ. Evidence for Cross-Protection Against Subsequent Febrile Respiratory Illness Episodes From Prior Infections by Different Viruses Among Singapore Military Recruits 2009-2014. J Infect Dis 2020; 219:1913-1923. [PMID: 30722024 PMCID: PMC6534195 DOI: 10.1093/infdis/jiz046] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2018] [Accepted: 01/27/2019] [Indexed: 12/22/2022] Open
Abstract
Background Few studies have evaluated the relative cross-protection conferred by infection with different groups of viruses through studies of sequential infections in humans. We investigated the presence of short-lived relative cross-protection conferred by specific prior viral infections against subsequent febrile respiratory illness (FRI). Methods Men enlisted in basic military training between December 2009 and December 2014 were recruited, with the first FRI as the study entry point. ResPlex II assays and real-time polymerase chain reaction assays were used to detect viral pathogens in nasal wash samples, and survival analyses were performed to determine whether infection with particular viruses conferred short-lived relative cross-protection against FRI. Results Prior infection with adenovirus (hazard ratio [HR], 0.24; 95% confidence interval [CI], .14–.44) or influenza virus (HR, 0.52; 95% CI, .38–.73) conferred relative protection against subsequent FRI episode. Results were statistically significant even after adjustment for the interval between enlistment and FRI (P < .001). Adenovirus-positive participants with FRI episodes tended to be protected against subsequent infection with adenovirus, coronavirus, enterovirus/rhinovirus, and influenza virus (P = .062–.093), while men with influenza virus–positive FRI episodes tended be protected against subsequent infection with adenovirus (P = .044) and influenza virus (P = .081). Conclusion Prior adenovirus or influenza virus infection conferred cross-protection against subsequent FRI episodes relative to prior infection due to other circulating viruses.
Collapse
Affiliation(s)
- I-Cheng Mark Chen
- Saw Swee Hock School of Public Health, National University of Singapore and National University Hospital System, Singapore.,Infectious Disease Research and Training Office, National Centre for Infectious Diseases, Singapore
| | | | - Cheryl X P Chuah
- Saw Swee Hock School of Public Health, National University of Singapore and National University Hospital System, Singapore
| | | | - Yinxiaohe Sun
- Saw Swee Hock School of Public Health, National University of Singapore and National University Hospital System, Singapore.,Centre for Infectious Disease Epidemiology and Research, Saw Swee Hock School of Public Health, National University of Singapore and National University Hospital System, Singapore
| | | | | | - Ee Hui Goh
- Saw Swee Hock School of Public Health, National University of Singapore and National University Hospital System, Singapore
| | - Xiahong Zhao
- Saw Swee Hock School of Public Health, National University of Singapore and National University Hospital System, Singapore
| | - Paul Anantharajah Tambyah
- Yong Loo Lin School of Medicine, National University of Singapore and National University Hospital System, Singapore
| | - Alex R Cook
- Saw Swee Hock School of Public Health, National University of Singapore and National University Hospital System, Singapore
| | - Jeremiah Chng
- Biodefence Centre, Headquarters Medical Corps, Singapore Armed Forces, Singapore
| | - Junxiong Pang
- Saw Swee Hock School of Public Health, National University of Singapore and National University Hospital System, Singapore.,Centre for Infectious Disease Epidemiology and Research, Saw Swee Hock School of Public Health, National University of Singapore and National University Hospital System, Singapore
| | - Boon-Huan Tan
- DSO National Laboratories, Singapore.,Infection and Immunity, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Vernon J Lee
- Saw Swee Hock School of Public Health, National University of Singapore and National University Hospital System, Singapore.,Biodefence Centre, Headquarters Medical Corps, Singapore Armed Forces, Singapore
| |
Collapse
|
16
|
Abstract
SNP in the vitamin D receptor (VDR) gene is associated with risk of lower respiratory infections. The influence of genetic variation in the vitamin D pathway resulting in susceptibility to upper respiratory infections (URI) has not been investigated. We evaluated the influence of thirty-three SNP in eleven vitamin D pathway genes (DBP, DHCR7, RXRA, CYP2R1, CYP27B1, CYP24A1, CYP3A4, CYP27A1, LRP2, CUBN and VDR) resulting in URI risk in 725 adults in London, UK, using an additive model with adjustment for potential confounders and correction for multiple comparisons. Significant associations in this cohort were investigated in a validation cohort of 737 children in Manchester, UK. In all, three SNP in VDR (rs4334089, rs11568820 and rs7970314) and one SNP in CYP3A4 (rs2740574) were associated with risk of URI in the discovery cohort after adjusting for potential confounders and correcting for multiple comparisons (adjusted incidence rate ratio per additional minor allele ≥1·15, P for trend ≤0·030). This association was replicated for rs4334089 in the validation cohort (P for trend=0·048) but not for rs11568820, rs7970314 or rs2740574. Carriage of the minor allele of the rs4334089 SNP in VDR was associated with increased susceptibility to URI in children and adult cohorts in the United Kingdom.
Collapse
|