701
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Rzymski P, Kasianchuk N, Sikora D, Poniedziałek B. COVID-19 vaccinations and rates of infections, hospitalizations, ICU admissions, and deaths in Europe during SARS-CoV-2 Omicron wave in the first quarter of 2022. J Med Virol 2022; 95:e28131. [PMID: 36068643 PMCID: PMC9537885 DOI: 10.1002/jmv.28131] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 08/11/2022] [Accepted: 09/04/2022] [Indexed: 01/11/2023]
Abstract
The vaccination campaigns brought hope to minimizing the coronavirus disease 2019 (COVID-19) burden. However, the emergence of novel, highly transmissible Omicron lineage of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the waning of neutralizing antibodies a few months after vaccination has brought concerns over the vaccine efficacy. The present work analyzed the relationships between COVID-19 vaccine coverage (completion of primary course and booster dose intake) in the European Economic Area and rates of infection, hospitalizations, admissions to intensive care units (ICU), and deaths during the Omicron wave in the first quarter of 2022 (January-April). As demonstrated, infection rates were not correlated to vaccine coverage in any considered month. For January and February, the rates of hospitalizations, intensive care unit (ICU) admissions, and death due to COVID-19 were strongly negatively correlated (r =- 0.54 to -0.82) with the percentage of individuals who completed initial vaccination protocol and the percentage of those who received a booster dose. However, in March and April, the percentage of the population with primary vaccination course correlated negatively only with ICU admissions (r = -0.77 and -0.46, respectively). The uptake of boosters in March still remained in significant negative correlation with hospitalizations (r = -0.45), ICU admissions (r = -0.70) and deaths due to COVID-19 (r = -0.37), although in April these relationships were no longer observed. The percentage of individuals with confirmed SARS-CoV-2 infection did not correlate with the pandemic indices for any considered month. The study indicates that COVID-19 vaccination, including booster administration, was beneficial in decreasing the overwhelming of healthcare systems during the Omicron wave, but novel vaccine strategies may be required in the long term to enhance the effectiveness and durability of vaccine-induced protection during future waves of SARS-CoV-2 infections.
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Affiliation(s)
- Piotr Rzymski
- Department of Environmental MedicinePoznan University of Medical SciencesPoznańPoland,Integrated Science Association (ISA)Universal Scientific Education and Research Network (USERN)PoznańPoland
| | - Nadiia Kasianchuk
- Faculty of BiologyAdam Mickiewicz UniversityPoznańPoland,Faculty of PharmacyBogomolets National Medical UniversityKyivUkraine
| | - Dominika Sikora
- Department of Environmental MedicinePoznan University of Medical SciencesPoznańPoland,Doctoral SchoolPoznan University of Medical SciencesPoznańPoland
| | - Barbara Poniedziałek
- Department of Environmental MedicinePoznan University of Medical SciencesPoznańPoland
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702
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Kelly SL, Le Rutte EA, Richter M, Penny MA, Shattock AJ. COVID-19 Vaccine Booster Strategies in Light of Emerging Viral Variants: Frequency, Timing, and Target Groups. Infect Dis Ther 2022; 11:2045-2061. [PMID: 36094720 PMCID: PMC9464609 DOI: 10.1007/s40121-022-00683-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 08/01/2022] [Indexed: 01/06/2023] Open
Abstract
Background Vaccinations have reduced severe burden of COVID-19 and allowed for lifting of non-pharmaceutical interventions. However, with immunity waning alongside emergence of more transmissible variants of concern, vaccination strategies must be examined. Methods Here we apply a SARS-CoV-2 transmission model to identify preferred frequency, timing, and target groups for vaccine boosters to reduce public health burden and health systems risk. We estimated new infections and hospital admissions averted over 2 years through annual or biannual boosting of those eligible (those who received doses one and two) who are (1) most vulnerable (60+ or living with comorbidities) or (2) those 5+, at universal (98% of eligible) or lower coverage (85% of those 50+ or with comorbidities and 50% of 5–49 year olds) representing moderate vaccine fatigue and/or hesitancy. We simulated three emerging variant scenarios: (1) no new variants; (2) 25% more infectious and immune-evading Omicron-level severity variants emerge annually and become dominant; (3) emerge biannually. We further explored the impact of varying seasonality, variant immune-evading capacity, infectivity, severity, timing, and vaccine infection blocking assumptions. Results To reduce COVID-19-related hospitalisations over the next 2 years, boosters should be provided for all those eligible annually 3–4 months ahead of peak winter whether or not new variants of concern emerge. Only boosting those most vulnerable is unlikely to ensure reduced stress on health systems. Moreover, boosting all eligible better protects those most vulnerable than only boosting the vulnerable group. Conversely, while this strategy may not ensure reduced stress on health systems, as an indication of cost-effectiveness, per booster dose more hospitalisations could be averted through annual boosting of those most vulnerable versus all eligible, since those most vulnerable are more likely to seek hospital care once infected, whereas increasing to biannual boosting showed diminishing returns. Results were robust when key model parameters were varied. However, we found that the more frequently variants emerge, the less the effect boosters will have, regardless of whether administered annually or biannually. Conclusions Delivering well-timed annual COVID-19 vaccine boosters to all those eligible, prioritising those most vulnerable, can reduce infections and hospital admissions. Findings provide model-based evidence for decision-makers to plan for administering COVID-19 boosters ahead of winter 2022–2023 to help mitigate the health burden and health system stress. Supplementary Information The online version contains supplementary material available at 10.1007/s40121-022-00683-z.
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Affiliation(s)
- Sherrie L Kelly
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Epke A Le Rutte
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Maximilian Richter
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
| | - Melissa A Penny
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland.
- University of Basel, Basel, Switzerland.
| | - Andrew J Shattock
- Swiss Tropical and Public Health Institute, Allschwil, Switzerland
- University of Basel, Basel, Switzerland
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703
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Nyberg T, Ferguson NM, Blake J, Hinsley W, Bhatt S, De Angelis D, Thelwall S, Presanis AM. Misclassification bias in estimating clinical severity of SARS-CoV-2 variants - Authors' reply. Lancet 2022; 400:809-810. [PMID: 36088947 PMCID: PMC9456774 DOI: 10.1016/s0140-6736(22)01432-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 07/27/2022] [Indexed: 11/22/2022]
Affiliation(s)
- Tommy Nyberg
- MRC Biostatistics Unit, University of Cambridge, Cambridge CB2 0SR, UK.
| | - Neil M Ferguson
- NIHR Health Protection Research Unit for Modelling and Health Economics, MRC Centre for Global Infectious Disease Analysis, Jameel Institute, Imperial College London, London, UK
| | - Joshua Blake
- MRC Biostatistics Unit, University of Cambridge, Cambridge CB2 0SR, UK
| | - Wes Hinsley
- NIHR Health Protection Research Unit for Modelling and Health Economics, MRC Centre for Global Infectious Disease Analysis, Jameel Institute, Imperial College London, London, UK
| | - Samir Bhatt
- NIHR Health Protection Research Unit for Modelling and Health Economics, MRC Centre for Global Infectious Disease Analysis, Jameel Institute, Imperial College London, London, UK
| | - Daniela De Angelis
- MRC Biostatistics Unit, University of Cambridge, Cambridge CB2 0SR, UK; Statistics, Modelling and Economics Department, UK Health Security Agency, London, UK; Joint Modelling Team, UK Health Security Agency, London, UK; NIHR Health Protection Research Unit for Behavioural Science and Evaluation at the University of Bristol, University of the West of England, and University of Cambridge, Bristol, UK
| | - Simon Thelwall
- COVID-19 National Epidemiology Cell, UK Health Security Agency, London, UK
| | - Anne M Presanis
- MRC Biostatistics Unit, University of Cambridge, Cambridge CB2 0SR, UK
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704
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Yek C, Warner S, Mancera A, Kadri SS. Misclassification bias in estimating clinical severity of SARS-CoV-2 variants. Lancet 2022; 400:809. [PMID: 36088948 PMCID: PMC9456776 DOI: 10.1016/s0140-6736(22)01469-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Accepted: 07/27/2022] [Indexed: 11/28/2022]
Affiliation(s)
- Christina Yek
- Critical Care Medicine Department, NIH Clinical Center, Bethesda, MD 20892, USA
| | - Sarah Warner
- Critical Care Medicine Department, NIH Clinical Center, Bethesda, MD 20892, USA
| | - Alex Mancera
- Critical Care Medicine Department, NIH Clinical Center, Bethesda, MD 20892, USA
| | - Sameer S Kadri
- Critical Care Medicine Department, NIH Clinical Center, Bethesda, MD 20892, USA.
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705
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Gabrielli M. COVID-19 in Older Adults at the Time of the Omicron Variant. J Clin Med 2022; 11:5273. [PMID: 36142920 PMCID: PMC9501094 DOI: 10.3390/jcm11185273] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 09/06/2022] [Indexed: 02/05/2023] Open
Abstract
Since its outbreak, COVID-19 has had a significant impact on older adults worldwide [...].
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Affiliation(s)
- Maurizio Gabrielli
- Department of Emergency, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Università Cattolica del Sacro Cuore, Largo Gemelli 8, 00168 Rome, Italy
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706
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Lupi SM, Todaro C, Camassa D, Rizzo S, Storelli S, Rodriguez y Baena R. Excess Mortality among Physicians and Dentists during COVID-19 in Italy: A Cross-Sectional Study Related to a High-Risk Territory. Healthcare (Basel) 2022; 10:healthcare10091684. [PMID: 36141296 PMCID: PMC9498510 DOI: 10.3390/healthcare10091684] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 08/30/2022] [Accepted: 08/31/2022] [Indexed: 11/16/2022] Open
Abstract
Background: Many studies previously reported epidemiological data on mortality due to COVID-19 among health workers. All these studies included a partial sample of the population with a substantial selection bias. The present study evaluates the trend of mortality among physicians and dentists operating in an area considered to be at high risk during the COVID-19 pandemic. Methods: Data relating to all physicians and dentists registered in the province of Pavia (Italy), a sample consisting of 5454 doctors in 2020 was analyzed. The mortality rates obtained were compared with those related to the 5-year period preceding the pandemic and with those related to the general population. Results: In the area considered, a mortality rate of 0.83% (+69% compared to 2015–2019) was observed in the entire sample in 2020 and 0.43% (−11% compared to 2015–2019) in 2021; among physicians, there was a mortality rate of 0.76% (+53% compared to 2015-2019) in 2020 and 0.35% (−29% compared to 2015–2019) in 2021; for dentists, there was a mortality rate of 1.27% (+185% compared to 2015–2019) in 2020 and 1.01% (+127% compared to 2015–2019) in 2021. Conclusions: These data report the global impact of the SARS-CoV-2 pandemic on physicians and dentists in a high-risk territory. In 2020, a significant increase in the mortality rate compared to the previous 5 years was observed for both physicians and dentists; in 2021, a significant increase in the mortality rate was observed only for dentists. These data are also significant in evaluating the impact of vaccination on physicians and dentists and indicate that dentists were among the professions most at risk during the pandemic.
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Affiliation(s)
- Saturnino Marco Lupi
- Department of Clinical Surgical, Diagnostic and Pediatric Sciences, University of Pavia, P.le Golgi 2, 27100 Pavia, Italy
- Correspondence: ; Tel.: +39-382-516-255
| | - Claudia Todaro
- Department of Clinical Surgical, Diagnostic and Pediatric Sciences, University of Pavia, P.le Golgi 2, 27100 Pavia, Italy
| | - Domenico Camassa
- Department of Clinical Surgical, Diagnostic and Pediatric Sciences, University of Pavia, P.le Golgi 2, 27100 Pavia, Italy
| | - Silvana Rizzo
- Department of Clinical Surgical, Diagnostic and Pediatric Sciences, University of Pavia, P.le Golgi 2, 27100 Pavia, Italy
| | - Stefano Storelli
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Via Beldiletto 1/3, 20142 Milan, Italy
| | - Ruggero Rodriguez y Baena
- Department of Clinical Surgical, Diagnostic and Pediatric Sciences, University of Pavia, P.le Golgi 2, 27100 Pavia, Italy
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707
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Mohamed Y, El-Maradny YA, Saleh AK, Nayl AA, El-Gendi H, El-Fakharany EM. A comprehensive insight into current control of COVID-19: Immunogenicity, vaccination, and treatment. Biomed Pharmacother 2022; 153:113499. [PMID: 36076589 PMCID: PMC9343749 DOI: 10.1016/j.biopha.2022.113499] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 07/29/2022] [Accepted: 07/30/2022] [Indexed: 02/07/2023] Open
Abstract
The healthy immune system eliminates pathogens and maintains tissue homeostasis through extraordinarily complex networks with feedback systems while avoiding potentially massive tissue destruction. Many parameters influence humoral and cellular vaccine responses, including intrinsic and extrinsic, environmental, and behavioral, nutritional, perinatal and administrative parameters. The relative contributions of persisting antibodies and immune memory as well as the determinants of immune memory induction, to protect against specific diseases are the main parameters of long-term vaccine efficacy. Natural and vaccine-induced immunity and monoclonal antibody immunotherapeutic, may be evaded by SARS-CoV-2 variants. Besides the complications of the production of COVID-19 vaccinations, there is no effective single treatment against COVID-19. However, administration of a combined treatment at different stages of COVID-19 infection may offer some cure assistance. Combination treatment of antiviral drugs and immunomodulatory drugs may reduce inflammation in critical COVID-19 patients with cytokine release syndrome. Molnupiravir, remdesivir and paxlovid are the approved antiviral agents that may reduce the recovery time. In addition, immunomodulatory drugs such as lactoferrin and monoclonal antibodies are used to control inflammatory responses in their respective auto-immune conditions. Therefore, the widespread occurrence of highly transmissible variants like Delta and Omicron indicates that there is still a lot of work to be done in designing efficient vaccines and medicines for COVID-19. In this review, we briefly discussed the immunological response against SARS-CoV-2 and the vaccines approved by the World Health Organization (WHO) for COVID-19, their mechanisms, and side effects. Moreover, we mentioned various treatment trials and strategies for COVID-19.
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Affiliation(s)
- Yasser Mohamed
- Protein Research Department, Genetic Engineering and Biotechnology Research Institute, City of Scientific Research and Technological Applications (SRTA-City), New Borg EL-Arab, Alexandria 21934, Egypt; Laboratory of Kafr El-Sheikh Fever Hospital, Kafr El-Sheikh Fever Hospital, 33511 Kafr El-Sheikh, Egypt.
| | - Yousra A El-Maradny
- Protein Research Department, Genetic Engineering and Biotechnology Research Institute, City of Scientific Research and Technological Applications (SRTA-City), New Borg EL-Arab, Alexandria 21934, Egypt; Microbiology Department, High Institute of Public Health, Alexandria University, Alexandria 21526, Egypt.
| | - Ahmed K Saleh
- Cellulose and Paper Department, National Research Centre, El-Tahrir St., Dokki, P.O. 12622, Giza, Egypt
| | - AbdElAziz A Nayl
- Department of Chemistry, College of Science, Jouf University, Sakaka 72341, Al Jouf, Saudi Arabia.
| | - Hamada El-Gendi
- Bioprocess Development Department, Genetic Engineering and Biotechnology Research Institute, City of Scientific Research and Technological Applications (SRTA-City), Universities and Research Institutes zone, New Borg El-Arab, Alexandria 21934, Egypt.
| | - Esmail M El-Fakharany
- Protein Research Department, Genetic Engineering and Biotechnology Research Institute, City of Scientific Research and Technological Applications (SRTA-City), New Borg EL-Arab, Alexandria 21934, Egypt.
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708
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Gram MA, Emborg HD, Schelde AB, Friis NU, Nielsen KF, Moustsen-Helms IR, Legarth R, Lam JUH, Chaine M, Malik AZ, Rasmussen M, Fonager J, Sieber RN, Stegger M, Ethelberg S, Valentiner-Branth P, Hansen CH. Vaccine effectiveness against SARS-CoV-2 infection or COVID-19 hospitalization with the Alpha, Delta, or Omicron SARS-CoV-2 variant: A nationwide Danish cohort study. PLoS Med 2022; 19:e1003992. [PMID: 36048766 PMCID: PMC9436060 DOI: 10.1371/journal.pmed.1003992] [Citation(s) in RCA: 79] [Impact Index Per Article: 26.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Accepted: 07/26/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND The continued occurrence of more contagious Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) variants and waning immunity over time require ongoing reevaluation of the vaccine effectiveness (VE). This study aimed to estimate the effectiveness in 2 age groups (12 to 59 and 60 years or above) of 2 or 3 vaccine doses (BNT162b2 mRNA or mRNA-1273) by time since vaccination against SARS-CoV-2 infection and Coronavirus Disease 2019 (COVID-19) hospitalization in an Alpha-, Delta-, or Omicron-dominated period. METHODS AND FINDINGS A Danish nationwide cohort study design was used to estimate VE against SARS-CoV-2 infection and COVID-19 hospitalization with the Alpha, Delta, or Omicron variant. Information was obtained from nationwide registries and linked using a unique personal identification number. The study included all previously uninfected residents in Denmark aged 12 years or above (18 years or above for the analysis of 3 doses) in the Alpha (February 20 to June 15, 2021), Delta (July 4 to November 20, 2021), and Omicron (December 21, 2021 to January 31, 2022) dominated periods. VE estimates including 95% confidence intervals (CIs) were calculated (1-hazard ratio∙100) using Cox proportional hazard regression models with underlying calendar time and adjustments for age, sex, comorbidity, and geographical region. Vaccination status was included as a time-varying exposure. In the oldest age group, VE against infection after 2 doses was 90.7% (95% CI: 88.2; 92.7) for the Alpha variant, 82.3% (95% CI: 75.5; 87.2) for the Delta variant, and 39.9% (95% CI: 26.3; 50.9) for the Omicron variant 14 to 30 days since vaccination. The VE waned over time and was 73.2% (Alpha, 95% CI: 57.1; 83.3), 50.0% (Delta, 95% CI: 46.7; 53.0), and 4.4% (Omicron, 95% CI: -0.1; 8.7) >120 days since vaccination. Higher estimates were observed after the third dose with VE estimates against infection of 86.1% (Delta, 95% CI: 83.3; 88.4) and 57.7% (Omicron, 95% CI: 55.9; 59.5) 14 to 30 days since vaccination. Among both age groups, VE against COVID-19 hospitalization 14 to 30 days since vaccination with 2 or 3 doses was 98.1% or above for the Alpha and Delta variants. Among both age groups, VE against COVID-19 hospitalization 14 to 30 days since vaccination with 2 or 3 doses was 95.5% or above for the Omicron variant. The main limitation of this study is the nonrandomized study design including potential differences between the unvaccinated (reference group) and vaccinated individuals. CONCLUSIONS Two vaccine doses provided high protection against SARS-CoV-2 infection and COVID-19 hospitalization with the Alpha and Delta variants with protection, notably against infection, waning over time. Two vaccine doses provided only limited and short-lived protection against SARS-CoV-2 infection with Omicron. However, the protection against COVID-19 hospitalization following Omicron SARS-CoV-2 infection was higher. The third vaccine dose substantially increased the level and duration of protection against infection with the Omicron variant and provided a high level of sustained protection against COVID-19 hospitalization among the +60-year-olds.
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Affiliation(s)
- Mie Agermose Gram
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
- * E-mail:
| | - Hanne-Dorthe Emborg
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Astrid Blicher Schelde
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Nikolaj Ulrik Friis
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Katrine Finderup Nielsen
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Ida Rask Moustsen-Helms
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Rebecca Legarth
- Division of Infectious Disease Preparedness, Data Integration and Analysis, Statens Serum Institut, Copenhagen, Denmark
| | - Janni Uyen Hoa Lam
- Division of Infectious Disease Preparedness, Data Integration and Analysis, Statens Serum Institut, Copenhagen, Denmark
| | - Manon Chaine
- Division of Infectious Disease Preparedness, Data Integration and Analysis, Statens Serum Institut, Copenhagen, Denmark
| | - Aisha Zahoor Malik
- Division of Infectious Disease Preparedness, Data Integration and Analysis, Statens Serum Institut, Copenhagen, Denmark
| | - Morten Rasmussen
- Department of Virus Research and Development Laboratory, Virus and Microbiological Special Diagnostics, Statens Serum Institut, Copenhagen, Denmark
| | - Jannik Fonager
- Department of Virus Research and Development Laboratory, Virus and Microbiological Special Diagnostics, Statens Serum Institut, Copenhagen, Denmark
| | - Raphael Niklaus Sieber
- Department of Bacteria, Parasites, and Fungi, Statens Serum Institut, Copenhagen, Denmark
| | - Marc Stegger
- Department of Bacteria, Parasites, and Fungi, 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
| | - Palle Valentiner-Branth
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
| | - Christian Holm Hansen
- Department of Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
- MRC International Statistics and Epidemiology Group, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom
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709
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Bhiman JN, Moore PL. Leveraging South African HIV research to define SARS-CoV-2 immunity triggered by sequential variants of concern. Immunol Rev 2022; 310:61-75. [PMID: 35599324 PMCID: PMC9349367 DOI: 10.1111/imr.13086] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes coronavirus disease 2019 (COVID-19), has shifted our paradigms about B cell immunity and the goals of vaccination for respiratory viruses. The development of population immunity, through responses directed to highly immunogenic regions of this virus, has been a strong driving force in the emergence of progressively mutated variants. This review highlights how the strength of the existing global virology and immunology networks built for HIV vaccine research enabled rapid adaptation of techniques, assays, and skill sets, to expeditiously respond to the SARS-CoV-2 pandemic. Allying real-time genomic surveillance to immunological platforms enabled the characterization of immune responses elicited by infection with distinct variants, in sequential epidemic waves, as well as studies of vaccination and hybrid immunity (combination of infection- and vaccination-induced immunity). These studies have shown that consecutive variants of concern have steadily diminished the ability of vaccines to prevent infection, but that increasing levels of hybrid immunity result in higher frequencies of cross-reactive responses. Ultimately, this rapid pivot from HIV to SARS-CoV-2 enabled a depth of understanding of the SARS-CoV-2 antigenic vulnerabilities as population immunity expanded and diversified, providing key insights for future responses to the SARS-CoV-2 pandemic.
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Affiliation(s)
- Jinal N Bhiman
- National Institute for Communicable Diseases of the National Health Laboratory Services, Johannesburg, South Africa
- SAMRC Antibody Immunity Research Unit, School of Pathology, University of the Witwatersrand, Johannesburg, South Africa
| | - Penny L Moore
- National Institute for Communicable Diseases of the National Health Laboratory Services, Johannesburg, South Africa
- SAMRC Antibody Immunity Research Unit, School of Pathology, University of the Witwatersrand, Johannesburg, South Africa
- Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa
- Centre for the AIDS Programme of Research in South Africa, Durban, South Africa
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710
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Dalager-Pedersen M. Thromboprophylaxis and anticoagulation for inpatients with COVID-19 in 2022 and beyond. Clin Microbiol Infect 2022; 28:1184-1186. [PMID: 35640843 PMCID: PMC9148432 DOI: 10.1016/j.cmi.2022.05.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 05/19/2022] [Accepted: 05/21/2022] [Indexed: 11/23/2022]
Affiliation(s)
- Michael Dalager-Pedersen
- Department of Infectious Diseases, Aalborg University Hospital, Aalborg 9000, Denmark; Department of Clinical Medicine, Aalborg University, Aalborg 9000, Denmark.
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711
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Sasanami M, Kayano T, Nishiura H. Monitoring the COVID-19 immune landscape in Japan. Int J Infect Dis 2022; 122:300-306. [PMID: 35688309 PMCID: PMC9173820 DOI: 10.1016/j.ijid.2022.06.005] [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: 04/22/2022] [Revised: 06/02/2022] [Accepted: 06/03/2022] [Indexed: 01/25/2023] Open
Abstract
OBJECTIVES COVID-19 vaccination in Japan started on February 17, 2021. Because the timing of vaccination and the risk of severe COVID-19 greatly varied with age, the present study aimed to monitor the age-specific fractions of the population who were immune to SARS-CoV-2 infection after vaccination. METHODS Natural infection remained extremely rare, accounting for less than 5% of the population by the end of 2021; thus, we ignored natural infection-induced immunity and focused on vaccine-induced immunity. We estimated the fraction of the population immune to infection by age group using vaccination registry data from February 17, 2021, to October 17, 2021. We accounted for two important sources of delay: (i) reporting delay and (ii) time from vaccination until immune protection develops. RESULTS At the end of the observation period, the proportion of individuals still susceptible to SARS-CoV-2 infection substantially varied by age and was estimated to be ≥90% among people aged 0-14 years, in contrast to approximately 20% among the population aged ≥65 years. We also estimated the effective reproduction number over time using a next-generation matrix while accounting for differences in the proportion immune to infection by age. CONCLUSION The COVID-19 immune landscape greatly varied by age, and a substantial proportion of young adults remained susceptible. Vaccination contributed to a marked decrease in the reproduction number.
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Affiliation(s)
| | | | - Hiroshi Nishiura
- Corresponding author: Hiroshi Nishiura, Kyoto University School of Public Health, Yoshida-Konoe, Sakyo, Kyoto 606-8601, Japan Tel: +81 75 753 4456; Fax: +81 75 753 4458
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712
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Mefsin YM, Chen D, Bond HS, Lin Y, Cheung JK, Wong JY, Ali ST, Lau EHY, Wu P, Leung GM, Cowling BJ. Epidemiology of Infections with SARS-CoV-2 Omicron BA.2 Variant, Hong Kong, January-March 2022. Emerg Infect Dis 2022; 28:1856-1858. [PMID: 35914518 PMCID: PMC9423929 DOI: 10.3201/eid2809.220613] [Citation(s) in RCA: 71] [Impact Index Per Article: 23.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
Our analysis of data collected from multiple epidemics in Hong Kong indicated a shorter serial interval and generation time of infections with the SARS-CoV-2 Omicron variant. The age-specific case-fatality risk for Omicron BA.2.2 case-patients without complete primary vaccination was comparable to that of persons infected with ancestral strains in earlier waves.
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713
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Whittaker R, Greve-Isdahl M, Bøås H, Suren P, Buanes EA, Veneti L. COVID-19 Hospitalization Among Children <18 Years by Variant Wave in Norway. Pediatrics 2022; 150:188698. [PMID: 35916036 DOI: 10.1542/peds.2022-057564] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/11/2022] [Indexed: 01/13/2023] Open
Abstract
OBJECTIVES There is limited evidence on whether the relative severity of coronavirus disease 2019 (COVID-19) in children and adolescents differs for different severe acute respiratory syndrome coronavirus 2 variants. We compare the risk of hospitalization to acute COVID-19 or multisystem inflammatory syndrome in children (MIS-C) among unvaccinated persons <18 years with COVID-19 (cases) between waves of the Alpha, Delta, and Omicron (sublineage BA.1) variants in Norway. METHODS We used linked individual-level data from national registries to calculate adjusted risk ratios (aRR) with 95% confidence interval (CI) using multivariable log-binomial regression. We adjusted for variant wave, demographic characteristics, and underlying comorbidities. RESULTS We included 10 538 Alpha (21 hospitalized with acute COVID-19, 7 MIS-C), 42 362 Delta (28 acute COVID-19, 14 MIS-C), and 82 907 Omicron wave cases (48 acute COVID-19, 7 MIS-C). The risk of hospitalization with acute COVID-19 was lower in the Delta (aRR: 0.53, 95% CI: 0.30-0.93) and Omicron wave (aRR: 0.40, 95% CI: 0.24-0.68), compared to the Alpha wave. We found no difference in this risk for Omicron compared to Delta. The risk of MIS-C was lower for Omicron, compared to Alpha (aRR: 0.09, 95% CI: 0.03-0.27) and Delta (aRR: 0.26, 95% CI: 0.10-0.63). CONCLUSIONS We do not find clear evidence that different variants have influenced the risk of hospitalization with acute COVID-19 among unvaccinated children and adolescents in Norway. The lower risk of this outcome with Omicron and Delta may reflect changes in other factors over time, such as the testing strategy, maternal vaccination and/or hospitalization criteria. The emergence of Omicron has reduced the risk of MIS-C.
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Affiliation(s)
| | | | | | - Pål Suren
- Child Health and Development, Norwegian Institute of Public Health, Oslo, Norway
| | - Eirik Alnes Buanes
- Department of Anaesthesia and Intensive Care.,Norwegian Intensive Care and Pandemic Registry, Haukeland University Hospital, Bergen, Norway
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714
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Sette A, Crotty S. Immunological memory to SARS-CoV-2 infection and COVID-19 vaccines. Immunol Rev 2022; 310:27-46. [PMID: 35733376 PMCID: PMC9349657 DOI: 10.1111/imr.13089] [Citation(s) in RCA: 169] [Impact Index Per Article: 56.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Accepted: 05/04/2022] [Indexed: 12/12/2022]
Abstract
Immunological memory is the basis of protective immunity provided by vaccines and previous infections. Immunological memory can develop from multiple branches of the adaptive immune system, including CD4 T cells, CD8 T cells, B cells, and long-lasting antibody responses. Extraordinary progress has been made in understanding memory to SARS-CoV-2 infection and COVID-19 vaccines, addressing development; quantitative and qualitative features of different cellular and anatomical compartments; and durability of each cellular component and antibodies. Given the sophistication of the measurements; the size of the human studies; the use of longitudinal samples and cross-sectional studies; and head-to-head comparisons between infection and vaccines or between multiple vaccines, the understanding of immune memory for 1 year to SARS-CoV-2 infection and vaccines already supersedes that of any other acute infectious disease. This knowledge may help inform public policies regarding COVID-19 and COVID-19 vaccines, as well as the scientific development of future vaccines against SARS-CoV-2 and other diseases.
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Affiliation(s)
- Alessandro Sette
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA 92037, USA
- Department of Medicine, Division of Infectious Diseases and Global Public Health, University of California, San Diego (UCSD), La Jolla, CA 92037, USA
| | - Shane Crotty
- Center for Infectious Disease and Vaccine Research, La Jolla Institute for Immunology (LJI), La Jolla, CA 92037, USA
- Department of Medicine, Division of Infectious Diseases and Global Public Health, University of California, San Diego (UCSD), La Jolla, CA 92037, USA
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715
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Harrigan SP, Wilton J, Chong M, Abdia Y, Garcia HV, Rose C, Taylor M, Mishra S, Sander B, Hoang L, Tyson J, Krajden M, Prystajecky N, Janjua NZ, Sbihi H. Clinical Severity of Severe Acute Respiratory Syndrome Coronavirus 2 Omicron Variant Relative to Delta in British Columbia, Canada: A Retrospective Analysis of Whole-Genome Sequenced Cases. Clin Infect Dis 2022; 76:e18-e25. [PMID: 36041009 PMCID: PMC9452171 DOI: 10.1093/cid/ciac705] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 07/18/2022] [Accepted: 08/25/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND In late 2021, the Omicron severe acute respiratory syndrome coronavirus 2 variant emerged and rapidly replaced Delta as the dominant variant. The increased transmissibility of Omicron led to surges in case rates and hospitalizations; however, the true severity of the variant remained unclear. We aimed to provide robust estimates of Omicron severity relative to Delta. METHODS This retrospective cohort study was conducted with data from the British Columbia COVID-19 Cohort, a large provincial surveillance platform with linkage to administrative datasets. To capture the time of cocirculation with Omicron and Delta, December 2021 was chosen as the study period. Whole-genome sequencing was used to determine Omicron and Delta variants. To assess the severity (hospitalization, intensive care unit [ICU] admission, length of stay), we conducted adjusted Cox proportional hazard models, weighted by inverse probability of treatment weights (IPTW). RESULTS The cohort was composed of 13 128 individuals (7729 Omicron and 5399 Delta). There were 419 coronavirus disease 2019 hospitalizations, with 118 (22%) among people diagnosed with Omicron (crude rate = 1.5% Omicron, 5.6% Delta). In multivariable IPTW analysis, Omicron was associated with a 50% lower risk of hospitalization compared with Delta (adjusted hazard ratio [aHR] = 0.50, 95% confidence interval [CI] = 0.43 to 0.59), a 73% lower risk of ICU admission (aHR = 0.27, 95% CI = 0.19 to 0.38), and a 5-day shorter hospital stay (aß = -5.03, 95% CI = -8.01 to -2.05). CONCLUSIONS Our analysis supports findings from other studies that have demonstrated lower risk of severe outcomes in Omicron-infected individuals relative to Delta.
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Affiliation(s)
| | | | - Mei Chong
- British Columbia Centre for Disease Control, British Columbia (BC), Canada
| | - Younathan Abdia
- British Columbia Centre for Disease Control, British Columbia (BC), Canada
| | | | - Caren Rose
- British Columbia Centre for Disease Control, British Columbia (BC), Canada,University of British Columbia, School of Population and Public Health, BC, Canada
| | - Marsha Taylor
- British Columbia Centre for Disease Control, British Columbia (BC), Canada
| | - Sharmistha Mishra
- Department of Medicine, University of Toronto, Toronto, Canada,MAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, Unity Health Toronto, Toronto, Canada,Division of Epidemiology and Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada,Institute of Medical Science, University of Toronto, Toronto, Canada
| | - Beate Sander
- Toronto Health Economics and Technology Assessment (THETA) collaborative, Toronto General Hospital Research Institute, University Health Network, Toronto, Canada,Institute of Health Policy, Management and Evaluation (IHPME), Dalla Lana School of Public Health, University of Toronto, Toronto, Canada,Public Health Ontario Toronto, Canada,ICES, Toronto, Canada
| | - Linda Hoang
- British Columbia Centre for Disease Control, British Columbia (BC), Canada,University of British Columbia, Pathology and Laboratory Medicine, BC, Canada
| | - John Tyson
- British Columbia Centre for Disease Control, British Columbia (BC), Canada
| | - Mel Krajden
- British Columbia Centre for Disease Control, British Columbia (BC), Canada,University of British Columbia, Pathology and Laboratory Medicine, BC, Canada
| | - Natalie Prystajecky
- British Columbia Centre for Disease Control, British Columbia (BC), Canada,University of British Columbia, Pathology and Laboratory Medicine, BC, Canada
| | - Naveed Z Janjua
- British Columbia Centre for Disease Control, British Columbia (BC), Canada,University of British Columbia, School of Population and Public Health, BC, Canada,Centre for Health Evaluation and Outcome Sciences, St. Paul's Hospital, Vancouver, BC, Canada
| | - Hind Sbihi
- Corresponding author: Hind Sbihi (, 1-604-707-2662), Vancouver, BC. Canada
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716
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Schallner N, Lieberum J, Kalbhenn J, Bürkle H, Daumann F. Intensive care unit resources and patient-centred outcomes in severe COVID-19: a prospective single-centre economic evaluation. Anaesthesia 2022; 77:1336-1345. [PMID: 36039476 PMCID: PMC9538123 DOI: 10.1111/anae.15844] [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] [Accepted: 07/26/2022] [Indexed: 12/12/2022]
Abstract
During the COVID-19 pandemic, ICU bed shortages sparked a discussion about resource allocation. We aimed to analyse the value of ICU treatment of COVID-19 from a patient-centred health economic perspective. We prospectively included 49 patients with severe COVID-19 and calculated direct medical treatment costs. Quality of life was converted into aggregated quality-adjusted life years using the statistical remaining life expectancy. Costs for non-treatment as the comparator were estimated using the value of statistical life year approach. We used multivariable linear or logistic regression to identify predictors of treatment costs, quality of life and survival. Mean (SD) direct medical treatment costs were higher in patients in ICU with COVID-19 compared with those without (£60,866 (£42,533) vs. £8282 (£14,870), respectively; p < 0.001). This was not solely attributable to prolonged ICU length of stay, as costs per day were also higher (£3115 (£1374) vs. £1490 (£713), respectively; p < 0.001), independent of overall disease severity. We observed a beneficial cost-utility value of £7511 per quality-adjusted life-year gained, even with a more pessimistic assumption towards the remaining life expectancy. Extracorporeal membrane oxygenation therapy provided no additional quality-adjusted life-year benefit. Compared with non-treatment (costs per lost life year, £106,085), ICU treatment (costs per quality-adjusted life-year, £7511) was economically preferable, even with a pessimistic interpretation of patient preferences for survival (sensitivity analysis of the value of statistical life year, £48,848). Length of ICU stay was a positive and extracorporeal membrane oxygenation a negative predictor for quality of life, whereas costs per day were a positive predictor for mortality. These data suggest that despite high costs, ICU treatment for severe COVID-19 may be cost-effective for quality-adjusted life-years gained.
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Affiliation(s)
- N Schallner
- Department of Anesthesiology and Critical Care, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany
| | - J Lieberum
- Department of Anesthesiology and Critical Care, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany
| | - J Kalbhenn
- Department of Anesthesiology and Critical Care, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany
| | - H Bürkle
- Department of Anesthesiology and Critical Care, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Germany
| | - F Daumann
- Institute of Health Economics and Sports Economics, Institute of Sports Science, University of Jena, Germany
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717
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Shin DH, Jang H, Lee S, Choi BS, Kim D, Oh HS. Trends in Confirmed COVID-19 Cases in the Korean Military Before and After the Emergence of the Omicron Variant. J Korean Med Sci 2022; 37:e260. [PMID: 36038957 PMCID: PMC9424697 DOI: 10.3346/jkms.2022.37.e260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 07/14/2022] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Due to the higher transmissibility and increased immune escape of the omicron variant of severe acute respiratory syndrome coronavirus 2, the number of patients with coronavirus disease 2019 (COVID-19) has skyrocketed in the Republic of Korea. Here, we analyzed the change in trend of the number of confirmed COVID-19 cases in the Korean military after the emergence of the omicron variant on December 5, 2021. METHODS An interrupted time-series analysis was performed of the daily number of newly confirmed COVID-19 cases in the Korean military from September 1, 2021 to April 10, 2022, before and after the emergence of the omicron variant. Moreover, the daily number of newly confirmed COVID-19 cases in the Korean military and in the population of Korean civilians adjusted to the same with military were compared. RESULTS The trends of COVID-19 occurrence in the military after emergence of the omicron variant was significantly increased (regression coefficient, 23.071; 95% confidence interval, 16.122-30.020; P < 0.001). The COVID-19 incidence rate in the Korean military was lower than that in the civilians, but after the emergence of the omicron variant, the increased incidence rate in the military followed that of the civilian population. CONCLUSION The outbreak of the omicron variant occurred in the Korean military despite maintaining high vaccination coverage and intensive non-pharmacological interventions.
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Affiliation(s)
- Dong Hoon Shin
- Department of Internal Medicine, Division of Infectious Diseases, Armed Forces Yangju Hospital, Yangju, Korea
| | - Haebong Jang
- Department of Laboratory Medicine, Armed Forces Medical Research Institute, Daejeon, Korea
| | - Sangho Lee
- Chief of Health Management Department, Armed Forces Medical Command, Seongnam, Korea
| | | | - Donghoon Kim
- Department of Critical Care Medicine, Department of Internal Medicine, Armed Forces Capital Hospital, Seongnam, Korea.
| | - Hong Sang Oh
- Department of Internal Medicine, Division of Infectious Diseases, Armed Forces Capital Hospital, Seongnam, Korea.
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718
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Sonaglioni A, Lombardo M, Albini A, Noonan DM, Re M, Cassandro R, Elia D, Caminati A, Nicolosi GL, Harari S. Charlson comorbidity index, neutrophil-to-lymphocyte ratio and undertreatment with renin-angiotensin-aldosterone system inhibitors predict in-hospital mortality of hospitalized COVID-19 patients during the omicron dominant period. Front Immunol 2022; 13:958418. [PMID: 36090992 PMCID: PMC9453812 DOI: 10.3389/fimmu.2022.958418] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 08/04/2022] [Indexed: 11/24/2022] Open
Abstract
Purpose To investigate the clinical predictors of in-hospital mortality in hospitalized patients with Coronavirus disease 2019 (COVID-19) infection during the Omicron period. Methods All consecutive hospitalized laboratory‐confirmed COVID-19 patients between January and May 2022 were retrospectively analyzed. All patients underwent accurate physical, laboratory, radiographic and echocardiographic examination. Primary endpoint was in-hospital mortality. Results 74 consecutive COVID-19 patients (80.0 ± 12.6 yrs, 45.9% males) were included. Patients who died during hospitalization (27%) and those who were discharged alive (73%) were separately analyzed. Compared to patients discharged alive, those who died were significantly older, with higher comorbidity burden and greater prevalence of laboratory, radiographic and echographic signs of pulmonary and systemic congestion. Charlson comorbidity index (CCI) (OR 1.76, 95%CI 1.07-2.92), neutrophil-to-lymphocyte ratio (NLR) (OR 1.24, 95%CI 1.10-1.39) and absence of angiotensin-converting enzyme inhibitors (ACEI)/angiotensin II receptor blockers (ARBs) therapy (OR 0.01, 95%CI 0.00-0.22) independently predicted the primary endpoint. CCI ≥7 and NLR ≥9 were the best cut-off values for predicting mortality. The mortality risk for patients with CCI ≥7, NLR ≥9 and not in ACEI/ARBs therapy was high (86%); for patients with CCI <7, NLR ≥9, with (16.6%) or without (25%) ACEI/ARBs therapy was intermediate; for patients with CCI <7, NLR <9 and in ACEI/ARBs therapy was of 0%. Conclusions High comorbidity burden, high levels of NLR and the undertreatment with ACEI/ARBs were the main prognostic indicators of in-hospital mortality. The risk stratification of COVID-19 patients at hospital admission would help the clinicians to take care of the high-risk patients and reduce the mortality.
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Affiliation(s)
- Andrea Sonaglioni
- Division of Cardiology, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) MultiMedica, Milan, Italy
| | - Michele Lombardo
- Division of Cardiology, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) MultiMedica, Milan, Italy
| | - Adriana Albini
- European Institute of Oncology (IEO) Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Milan, Italy
- *Correspondence: Adriana Albini,
| | - Douglas M. Noonan
- Immunology and General Pathology Laboratory, Department of Biotechnology and Life Sciences, University of Insubria, Varese, Italy
- Unit of Molecular Pathology, Immunology and Biochemistry, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) MultiMedica, Milan, Italy
| | - Margherita Re
- Division of Internal Medicine, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) MultiMedica, Milan, Italy
| | - Roberto Cassandro
- Division of Pneumology, Semi Intensive Care Unit, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) MultiMedica, Milan, Italy
| | - Davide Elia
- Division of Pneumology, Semi Intensive Care Unit, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) MultiMedica, Milan, Italy
| | - Antonella Caminati
- Division of Pneumology, Semi Intensive Care Unit, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) MultiMedica, Milan, Italy
| | | | - Sergio Harari
- Division of Pneumology, Semi Intensive Care Unit, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) MultiMedica, Milan, Italy
- Department of Clinical Sciences and Community Health, Università Di Milano, Milan, Italy
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719
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Richter J, Koptides D, Tryfonos C, Alexandrou D, Christodoulou C. Introduction, Spread and Impact of the SARS-CoV-2 Omicron Variants BA.1 and BA.2 in Cyprus. Microorganisms 2022; 10:1688. [PMID: 36144290 PMCID: PMC9503937 DOI: 10.3390/microorganisms10091688] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 08/05/2022] [Accepted: 08/22/2022] [Indexed: 12/02/2022] Open
Abstract
The aim of this study was to investigate and obtain insights into the appearance, spread and impact of the Omicron variants and their sub-lineages in Cyprus by analyzing 611 high-coverage full-genome sequences for the period from November 2021 until April 2022. All viruses sequenced were identified to belong to either Delta (B.1.617.2) or Omicron (lineage BA.1 and BA.2, respectively), with a variety of different sub-lineages. A detailed analysis of the mutational profile is presented and discussed. The Omicron variant BA.1 was shortly followed by BA.2; despite emerging against a background of high vaccination (81% of adult population) and pre-existing natural immunity, they gave rise to the largest waves of infection, with daily numbers rising dramatically, highlighting their increased ability for immune evasion. Within a period of only five months, the percentage of the Cypriot population with a confirmed infection increased from ~15% of the total population to >57%. Despite unprecedented case numbers, a significant reduction in hospital burden and mortality was observed. Our findings highlight the role of the importation of new variants through travel and demonstrate the importance of genomic surveillance in determining viral genetic diversity and the timely identification of new variants for guiding public health intervention measures.
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Affiliation(s)
- Jan Richter
- Molecular Virology Department, Cyprus Institute of Neurology and Genetics, Nicosia 2371, Cyprus
| | - Dana Koptides
- Molecular Virology Department, Cyprus Institute of Neurology and Genetics, Nicosia 2371, Cyprus
| | - Christina Tryfonos
- Molecular Virology Department, Cyprus Institute of Neurology and Genetics, Nicosia 2371, Cyprus
| | - Denise Alexandrou
- Medical and Public Health Services, Ministry of Health, Nicosia 1148, Cyprus
| | - Christina Christodoulou
- Molecular Virology Department, Cyprus Institute of Neurology and Genetics, Nicosia 2371, Cyprus
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720
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Ao Z, Ouyang MJ, Olukitibi TA, Yao X. SARS-CoV-2 Delta spike protein enhances the viral fusogenicity and inflammatory cytokine production. iScience 2022; 25:104759. [PMID: 35854977 PMCID: PMC9281453 DOI: 10.1016/j.isci.2022.104759] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 04/14/2022] [Accepted: 07/11/2022] [Indexed: 12/24/2022] Open
Abstract
The Delta variant had spread globally in 2021 and caused more serious disease than the original virus and Omicron variant. In this study, we investigated several virological features of Delta spike protein (SPDelta), including protein maturation, its impact on viral entry of pseudovirus and cell-cell fusion, and its induction of inflammatory cytokine production in human macrophages and dendritic cells. The results showed that SPΔCDelta exhibited enhanced S1/S2 cleavage in cells and pseudotyped virus-like particles (PVLPs). Further, SPΔCDelta elevated pseudovirus entry in human lung cell lines and significantly enhanced syncytia formation. Furthermore, we revealed that SPΔCDelta-PVLPs had stronger effects on stimulating NF-κB and AP-1 signaling in human monocytic THP1 cells and induced significantly higher levels of proinflammatory cytokine, such as TNF-α, IL-1β, and IL-6, released from human macrophages and dendritic cells. Overall, these studies provide evidence to support the important role of SPΔCDelta during virus infection, transmission, and pathogenesis.
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Affiliation(s)
- Zhujun Ao
- Laboratory of Molecular Human Retrovirology, Department of Medical Microbiology, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Maggie Jing Ouyang
- Laboratory of Molecular Human Retrovirology, Department of Medical Microbiology, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Titus Abiola Olukitibi
- Laboratory of Molecular Human Retrovirology, Department of Medical Microbiology, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - Xiaojian Yao
- Laboratory of Molecular Human Retrovirology, Department of Medical Microbiology, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
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Barnard RC, Davies NG, Jit M, Edmunds WJ. Modelling the medium-term dynamics of SARS-CoV-2 transmission in England in the Omicron era. Nat Commun 2022; 13:4879. [PMID: 35986002 PMCID: PMC9389516 DOI: 10.1038/s41467-022-32404-y] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 07/25/2022] [Indexed: 11/29/2022] Open
Abstract
England has experienced a heavy burden of COVID-19, with multiple waves of SARS-CoV-2 transmission since early 2020 and high infection levels following the emergence and spread of Omicron variants since late 2021. In response to rising Omicron cases, booster vaccinations were accelerated and offered to all adults in England. Using a model fitted to more than 2 years of epidemiological data, we project potential dynamics of SARS-CoV-2 infections, hospital admissions and deaths in England to December 2022. We consider key uncertainties including future behavioural change and waning immunity and assess the effectiveness of booster vaccinations in mitigating SARS-CoV-2 disease burden between October 2021 and December 2022. If no new variants emerge, SARS-CoV-2 transmission is expected to decline, with low levels remaining in the coming months. The extent to which projected SARS-CoV-2 transmission resurges later in 2022 depends largely on assumptions around waning immunity and to some extent, behaviour, and seasonality.
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Affiliation(s)
- Rosanna C Barnard
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
| | - Nicholas G Davies
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, UK
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, UK
| | - Mark Jit
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, UK
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, UK
| | - W John Edmunds
- Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, UK
- Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, UK
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胡 亚, 姚 开. Clinical characteristics and epidemiological significance of coronavirus disease 2019 in children and adolescents. ZHONGGUO DANG DAI ER KE ZA ZHI = CHINESE JOURNAL OF CONTEMPORARY PEDIATRICS 2022; 24:846-852. [PMID: 36036120 PMCID: PMC9425860 DOI: 10.7499/j.issn.1008-8830.2205026] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Accepted: 06/09/2022] [Indexed: 11/05/2022]
Abstract
The epidemic of coronavirus disease 2019 (COVID-19) started in late December 2019, and spread rapidly throughout the world. In March 2020, the World Health Organization (WHO) declared global epidemic of COVID-19. According to the American Academy of Pediatrics, nearly 13 million children have been diagnosed with COVID-19 since the outbreak. In general, children and teens have milder symptoms and fewer deaths from COVID-19 than adults. Understanding the symptoms, infectivity, and transmission patterns of COVID-19 in children and adolescents is of great significance for timely identifying suspected patients and developing effective control measures. Considering that some children will not be vaccinated for quite some time in the future, it is more important to improve the understanding of the clinical and epidemiological significance of COVID-19 in children and adolescents. This article summarizes the current understanding of the clinical manifestations and epidemiological significance of COVID-19 in children and adolescents to provide a reference for clinical diagnosis and treatment and the formulation of epidemic prevention and control strategies in children's gathering institutions such as kindergartens and schools.
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723
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Català M, Coma E, Alonso S, Andrés C, Blanco I, Antón A, Bordoy AE, Cardona PJ, Fina F, Martró E, Medina M, Mora N, Saludes V, Prats C, Prieto-Alhambra D, Alvarez-Lacalle E. Transmissibility, hospitalization, and intensive care admissions due to omicron compared to delta variants of SARS-CoV-2 in Catalonia: A cohort study and ecological analysis. Front Public Health 2022; 10:961030. [PMID: 36033822 PMCID: PMC9412031 DOI: 10.3389/fpubh.2022.961030] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Accepted: 07/11/2022] [Indexed: 01/24/2023] Open
Abstract
Purpose We aim to compare the severity of infections between omicron and delta variants in 609,352 SARS-CoV-2 positive cases using local hospitalization, vaccination, and variants data from the Catalan Health Care System (which covers around 7. 8 million people). Methods We performed a substitution model to establish the increase in transmissibility of omicron using variant screening data from primary care practices (PCP) and hospital admissions. In addition, we used this data from PCP to establish the two periods when delta and omicron were, respectively, dominant (above 95% of cases). After that, we performed a population-based cohort analysis to calculate the rates of hospital and intensive care unit (ICU) admissions for both periods and to estimate reduction in severity. Rate ratios (RR) and 95% confidence intervals (95% CI) were calculated and stratified by age and vaccination status. In a second analysis, the differential substitution model in primary care vs. hospitals allowed us to obtain a population-level average change in severity. Results We have included 48,874 cases during the delta period and 560,658 during the omicron period. During the delta period, on average, 3.8% of the detected cases required hospitalization for COVID-19. This percentage dropped to 0.9% with omicron [RR of 0.46 (95% CI: 0.43 to 0.49)]. For ICU admissions, it dropped from 0.8 to 0.1% [RR 0.25 (95% CI: 0.21 to 0.28)]. The proportion of cases hospitalized or admitted to ICU was lower in the vaccinated groups, independently of the variant. Omicron was associated with a reduction in risk of admission to hospital and ICU in all age and vaccination status strata. The differential substitution models showed an average RR between 0.19 and 0.50. Conclusion Both independent methods consistently show an important decrease in severity for omicron relative to delta. The systematic reduction happens regardless of age. The severity is also reduced for non-vaccinated and vaccinated groups, but it remains always higher in the non-vaccinated population. This suggests an overall reduction in severity, which could be intrinsic to the omicron variant. The fact is that the RR in ICU admission is systematically smaller than in hospitalization points in the same direction.
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Affiliation(s)
- Martí Català
- Nuffield Department of Orthopedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, United Kingdom
| | - Ermengol Coma
- Primary Care Services Information System (SISAP), Institut Català de la Salut (ICS), Barcelona, Spain
| | - Sergio Alonso
- Physics Department, Universitat Politècnica de Catalunya, Barcelona, Spain
| | - Cristina Andrés
- Respiratory Viruses Unit, Virology Section, Microbiology Department, Vall d'Hebron Hospital Universitari, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain,Biomedical Research Networking Center in Infectious Diseases (CIBERINF), Instituto de Salud Carlos III, Madrid, Spain
| | - Ignacio Blanco
- Clinical Genetics Department, Laboratori Clínic Metropolitana Nord, Hospital Universitari Germans Trias i Pujol, Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol (IGTP), Badalona, Spain
| | - Andrés Antón
- Respiratory Viruses Unit, Virology Section, Microbiology Department, Vall d'Hebron Hospital Universitari, Vall d'Hebron Institut de Recerca (VHIR), Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain,Biomedical Research Networking Center in Infectious Diseases (CIBERINF), Instituto de Salud Carlos III, Madrid, Spain
| | - Antoni E. Bordoy
- Microbiology Department, Laboratori Clínic Metropolitana Nord, Hospital Universitari Germans Trias i Pujol, Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol (IGTP), Badalona, Spain
| | - Pere-Joan Cardona
- Microbiology Department, Laboratori Clínic Metropolitana Nord, Hospital Universitari Germans Trias i Pujol, Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol (IGTP), Badalona, Spain,Biomedical Research Networking Center in Respiratory Diseases (CIBERES), Instituto de Salud Carlos III, Madrid, Spain,Department of Genetics and Microbiology, Universitat Autònoma de Barcelona, Cerdanyola, Spain
| | - Francesc Fina
- Primary Care Services Information System (SISAP), Institut Català de la Salut (ICS), Barcelona, Spain
| | - Elisa Martró
- Microbiology Department, Laboratori Clínic Metropolitana Nord, Hospital Universitari Germans Trias i Pujol, Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol (IGTP), Badalona, Spain,Biomedical Research Networking Center in Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Manuel Medina
- Primary Care Services Information System (SISAP), Institut Català de la Salut (ICS), Barcelona, Spain
| | - Núria Mora
- Primary Care Services Information System (SISAP), Institut Català de la Salut (ICS), Barcelona, Spain
| | - Verónica Saludes
- Microbiology Department, Laboratori Clínic Metropolitana Nord, Hospital Universitari Germans Trias i Pujol, Institut d'Investigació en Ciències de la Salut Germans Trias i Pujol (IGTP), Badalona, Spain,Biomedical Research Networking Center in Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III, Madrid, Spain
| | - Clara Prats
- Physics Department, Universitat Politècnica de Catalunya, Barcelona, Spain
| | - Daniel Prieto-Alhambra
- Nuffield Department of Orthopedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, United Kingdom
| | - Enrique Alvarez-Lacalle
- Physics Department, Universitat Politècnica de Catalunya, Barcelona, Spain,*Correspondence: Enrique Alvarez-Lacalle
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724
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Md Khairi LNH, Fahrni ML, Lazzarino AI. The Race for Global Equitable Access to COVID-19 Vaccines. Vaccines (Basel) 2022; 10:1306. [PMID: 36016194 PMCID: PMC9412387 DOI: 10.3390/vaccines10081306] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Revised: 08/05/2022] [Accepted: 08/09/2022] [Indexed: 12/13/2022] Open
Abstract
COVID-19 vaccines are possibly the most effective medical countermeasures to mitigate and ultimately bring to a halt the COVID-19 pandemic. As we transition to endemicity, inequitable access to vaccines, and particularly in low- and middle-income countries (LMICs), still poses risks of unprecedented disruptions and the emergence of viral mutations, which potentially lead to notorious vaccine-resistant variants. The missteps learned from the previous responses to the human immunodeficiency virus (HIV) and influenza outbreaks founded the hypothetical plan to ensure that vaccine accessibility to LMICs is not impeded. The SARS-CoV-2 vaccines' social promise was to lessen the underlying racial, ethnic, and geographic inequities that COVID-19 has both made apparent and intensified. Vaccine nationalism was evident throughout the COVID-19 crisis. Many high-income countries directly negotiated large advance orders for the vaccines, leaving resource-limited countries scrambling for access. This occurred despite international initiatives to structure the development and equitable distribution of vaccines, channeled through a vaccine pillar: COVID-19 Vaccines Global Access (COVAX). The serious supply shortages and national procurement methods of some countries that bypassed the vaccine pillar hindered the optimal function of COVAX in delivering timely and adequate doses to participating countries. COVAX strategized its approach by promoting fundraising, coordinating vaccine donations from countries with surplus doses, expediting reviews of vaccine candidates, and facilitating the expansion of the manufacturing capacity. While increasing capacity for production, technology transfer led to lesser siloes, enhanced manufacturing standardization, and less secrecy over production data. Ultracold storage requirements for leading vaccines were a considerable hurdle to the global immunization efforts, and particularly in LMICs with limited equipment and resources to support sophisticated cold-chain systems. Manufacturers strived to ease cold-chain restrictions on the basis of stability data submitted to national regulatory bodies. The development of single-dose vaccines offered promising solutions to simplify the administrative and logistic complexities that existed within the COVID-19 vaccination programs. As such, the requirements for both ultracold storage conditions were eased, and concerns over booster doses were addressed. To expand coverage, the dosing intervals of the Oxford/AstraZeneca vaccines were extended according to data from Phase III clinical trials on effectiveness. In addition, with the recent outbreak of monkeypox, the lessons from past experiences of curbing infectious diseases, including COVID-19, must be learned and acted upon. The review summarizes the global efforts with respect to vaccine development, production, allocation, and deployment to achieve equitable access.
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Affiliation(s)
- Lukman Nul Hakim Md Khairi
- Faculty of Pharmacy, MARA, University of Technology (UiTM), Selangor Branch, Puncak Alam Campus, Puncak Alam 42300, Malaysia
- Pharmacy Department, Hospital Sultanah Nur Zahirah, Ministry of Health Malaysia, Kuala Terengganu 20400, Malaysia
| | - Mathumalar Loganathan Fahrni
- Faculty of Pharmacy, MARA, University of Technology (UiTM), Selangor Branch, Puncak Alam Campus, Puncak Alam 42300, Malaysia
- Collaborative Drug Discovery Research (CDDR) Group, Communities of Research (Pharmaceutical and Life Sciences), Universiti Teknologi MARA (UiTM), Puncak Alam 42300, Malaysia
| | - Antonio Ivan Lazzarino
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1NY, UK
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725
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Mylonakis E, Lutaakome J, Jain MK, Rogers AJ, Moltó J, Benet S, Mourad A, Files DC, Mugerwa H, Kityo C, Kiweewa F, Nalubega MG, Kitonsa J, Nabenkema E, Murray DD, Braun D, Kamel D, Higgs ES, Hatlen TJ, Kan VL, Sanchez A, Tierney J, Denner E, Wentworth D, Babiker AG, Davey VJ, Gelijns AC, Matthews GV, Thompson BT, Lane HC, Neaton JD, Lundgren JD. Lessons from an international trial evaluating vaccination strategies for recovered inpatients with COVID-19 (VATICO). MED 2022; 3:531-537. [PMID: 35963234 PMCID: PMC9373164 DOI: 10.1016/j.medj.2022.07.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 07/07/2022] [Accepted: 07/15/2022] [Indexed: 12/30/2022]
Abstract
The protection provided by natural versus hybrid immunity from COVID-19 is unclear. We reflect on the challenges from trying to conduct a randomized post-SARS-CoV-2 infection vaccination trial study with rapidly evolving scientific data, vaccination guidelines, varying international policies, difficulties with vaccine availability, vaccine hesitancy, and a constantly evolving virus.
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Affiliation(s)
- Eleftherios Mylonakis
- Division of Infectious Diseases, Rhode Island Hospital & The Miriam Hospital, Alpert Medical School of Brown University, Providence, RI, USA.
| | | | - Mamta K Jain
- U.T. Southwestern Medical Center and Parkland Health and Hospital Systems, Dallas, TX, USA
| | - Angela J Rogers
- Pulmonary, Allergy and Critical Care Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - José Moltó
- Lluita contra la Sida Foundation & Infectious Diseases Department, Hospital Universitari Germans Trias i Pujol, Badalona, Spain, Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Carlos III Health Institute, Madrid, Spain
| | - Susana Benet
- Lluita contra la Sida Foundation & Infectious Diseases Department, Hospital Universitari Germans Trias i Pujol, Badalona, Spain
| | - Ahmad Mourad
- Division of Infectious Diseases, Duke University School of Medicine, Durham, NC, USA
| | - D Clark Files
- Division of Pulmonary, Critical Care, Allergy and Immunology, Department of Medicine, Wake Forest Baptist Medical Center, Winston-Salem, NC
| | - Henry Mugerwa
- Joint Clinical Research Centre, Lubowa and Gulu Regional Referral Hospital, Gulu, Uganda
| | - Cissy Kityo
- Joint Clinical Research Centre, Lubowa, Uganda
| | - Francis Kiweewa
- Makerere University Lung Institute (MLI), Kampala, Uganda; Lira Regional Referral Hospital, Lira, Uganda
| | | | | | | | - Daniel D Murray
- CHIP Center of Excellence for Health, Immunity, and Infections and Department of Infectious Diseases, Rigshospitalet; Copenhagen, Denmark
| | - Dominique Braun
- Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich and Institute of Medical Virology, University of Zurich, Zurich Switzerland University Hospital Zurich, Zurich, Switzerland
| | - Dena Kamel
- UT Southwestern Medical Center, Internal Medicine, Infectious Diseases, Dallas, TX, USA
| | - Elizabeth S Higgs
- National Institute of Allergy and Infectious Diseases, Bethesda, MD, USA
| | - Timothy J Hatlen
- Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Virginia L Kan
- Infectious Diseases Section, VA Medical Center, Washington, DC, USA
| | | | - John Tierney
- Division of Clinical Research, National Institute of Allergy and Infectious Diseases, Bethesda, MD, USA
| | | | | | - Abdel G Babiker
- The Medical Research Council Clinical Trials Unit at UCL, University College London, London, UK
| | - Victoria J Davey
- United States Department of Veterans Affairs; Washington, DC, USA
| | - Annetine C Gelijns
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Gail V Matthews
- The Kirby Institute, University of New South Wales, Sydney, Australia
| | - B Taylor Thompson
- Division of Pulmonary and Critical Care, Department of Medicine, Massachusetts General Hospital and Harvard Medical School; Boston, Massachusetts, USA
| | - H Clifford Lane
- National Institute of Allergy and Infectious Diseases, Bethesda, Maryland, USA
| | - James D Neaton
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Jens D Lundgren
- CHIP Center of Excellence for Health, Immunity, and Infections and Department of Infectious Diseases, Rigshospitalet, Copenhagen, Denmark
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726
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Yang W, Shaman JL. COVID-19 pandemic dynamics in South Africa and epidemiological characteristics of three variants of concern (Beta, Delta, and Omicron). eLife 2022; 11:e78933. [PMID: 35943138 PMCID: PMC9363123 DOI: 10.7554/elife.78933] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 07/21/2022] [Indexed: 12/13/2022] Open
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants of concern (VOCs) have been key drivers of new coronavirus disease 2019 (COVID-19) pandemic waves. To better understand variant epidemiologic characteristics, here we apply a model-inference system to reconstruct SARS-CoV-2 transmission dynamics in South Africa, a country that has experienced three VOC pandemic waves (i.e. Beta, Delta, and Omicron BA.1) by February 2022. We estimate key epidemiologic quantities in each of the nine South African provinces during March 2020 to February 2022, while accounting for changing detection rates, infection seasonality, nonpharmaceutical interventions, and vaccination. Model validation shows that estimated underlying infection rates and key parameters (e.g. infection-detection rate and infection-fatality risk) are in line with independent epidemiological data and investigations. In addition, retrospective predictions capture pandemic trajectories beyond the model training period. These detailed, validated model-inference estimates thus enable quantification of both the immune erosion potential and transmissibility of three major SARS-CoV-2 VOCs, that is, Beta, Delta, and Omicron BA.1. These findings help elucidate changing COVID-19 dynamics and inform future public health planning.
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Affiliation(s)
- Wan Yang
- Department of Epidemiology, Mailman School of Public Health, Columbia UniversityNew YorkUnited States
| | - Jeffrey L Shaman
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia UniversityNew YorkUnited States
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727
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728
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Blyth CC. Editorial Commentary on "Severity of Illness Caused by Severe Acute Respiratory Syndrome Coronavirus 2 Variants of Concern in Children: A Single-Center Retrospective Cohort Study". J Pediatric Infect Dis Soc 2022; 11:475-476. [PMID: 35924569 PMCID: PMC9384660 DOI: 10.1093/jpids/piac074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 07/11/2022] [Indexed: 11/24/2022]
Affiliation(s)
- Christopher C Blyth
- Corresponding Author: Christopher C. Blyth, MBBS, FRACP, FRCPA, PhD, c/o Perth Children’s Hospital, Hospital Avenue, Nedlands, Western Australia 6009, Australia. E-mail:
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729
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Affiliation(s)
- Brian S Chen
- Chung Shan Medical University School of Medicine, Taichung City, Taiwan
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730
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Noda T, Okumura Y, Kan-o K, Taniguchi T, Suzuki S, Imamura T. Age-specific Mortality Associated with COVID-19 and Seasonal Influenza in Japan: Using Multiple Population-based Databases. ANNALS OF CLINICAL EPIDEMIOLOGY 2022; 4:129-132. [PMID: 38505254 PMCID: PMC10760487 DOI: 10.37737/ace.22016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 08/22/2021] [Indexed: 03/21/2024]
Affiliation(s)
- Tatsuya Noda
- Department of Public Health, Health Management and Policy, Nara Medical University
| | | | - Keiko Kan-o
- Department of Respiratory Medicine, Graduate School of Medical Sciences, Kyushu University
| | | | - Sadao Suzuki
- Graduate School of Medical Sciences, Nagoya City University
| | - Tomoaki Imamura
- Department of Public Health, Health Management and Policy, Nara Medical University
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731
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Dynamics of a national Omicron SARS-CoV-2 epidemic during January 2022 in England. Nat Commun 2022; 13:4500. [PMID: 35922409 PMCID: PMC9349208 DOI: 10.1038/s41467-022-32121-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Accepted: 07/18/2022] [Indexed: 12/16/2022] Open
Abstract
Rapid transmission of the SARS-CoV-2 Omicron variant has led to record-breaking case incidence rates around the world. Since May 2020, the REal-time Assessment of Community Transmission-1 (REACT-1) study tracked the spread of SARS-CoV-2 infection in England through RT-PCR of self-administered throat and nose swabs from randomly-selected participants aged 5 years and over. In January 2022, we found an overall weighted prevalence of 4.41% (n = 102,174), three-fold higher than in November to December 2021; we sequenced 2,374 (99.2%) Omicron infections (19 BA.2), and only 19 (0.79%) Delta, with a growth rate advantage for BA.2 compared to BA.1 or BA.1.1. Prevalence was decreasing overall (reproduction number R = 0.95, 95% credible interval [CrI], 0.93, 0.97), but increasing in children aged 5 to 17 years (R = 1.13, 95% CrI, 1.09, 1.18). In England during January 2022, we observed unprecedented levels of SARS-CoV-2 infection, especially among children, driven by almost complete replacement of Delta by Omicron.
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732
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Malahe SRK, Hoek RAS, Dalm VASH, Broers AEC, den Hoed CM, Manintveld OC, Baan CC, van Deuzen CM, Papageorgiou G, Bax HI, Van Kampen JJ, Hellemons ME, Kho MML, de Vries RD, Molenkamp R, Reinders MEJ, Rijnders BJA. Clinical Characteristics and Outcomes of Immunocompromised Patients With Coronavirus Disease 2019 Caused by the Omicron Variant: A Prospective, Observational Study. Clin Infect Dis 2022; 76:e172-e178. [PMID: 35869843 PMCID: PMC9384537 DOI: 10.1093/cid/ciac571] [Citation(s) in RCA: 60] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Illness after infection with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant is less severe compared with previous variants. Data on the disease burden in immunocompromised patients are lacking. We investigated the clinical characteristics and outcomes of immunocompromised patients with coronavirus disease 2019 (COVID-19) caused by Omicron. METHODS Organ transplant recipients, patients on anti-CD20 therapy, and allogenic hematopoietic stem cell transplantation recipients infected with the Omicron variant were included. Characteristics of consenting patients were collected and patients were contacted regularly until symptom resolution. To identify possible risk factors for hospitalization, a univariate logistic analysis was performed. RESULTS 114 consecutive immunocompromised patients were enrolled. Eighty-nine percent had previously received 3 mRNA vaccinations. While only 1 patient died, 23 (20%) were hospitalized for a median of 11 days. A low SARS-CoV-2 immunoglobulin G (IgG) antibody response (<300 BAU [binding antibody units]/mL) at diagnosis, being older, being a lung transplant recipient, having more comorbidities, and having a higher frailty score were associated with hospital admission (all P < .01). At the end of follow-up, 25% had still not fully recovered. Of the 23 hospitalized patients, 70% had a negative and 92% had a low IgG (<300 BAU/mL) antibody response at admission. Sotrovimab was administered to 17 of these patients, and 1 died. CONCLUSIONS While the mortality in immunocompromised patients infected with Omicron was low, hospital admission was frequent and the duration of symptoms often prolonged. In addition to vaccination, other interventions are needed to limit the morbidity from COVID-19 in immunocompromised patients.
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Affiliation(s)
| | | | - Virgil A S H Dalm
- Department of Internal Medicine, Division of Allergy and Clinical Immunology, Erasmus University Medical Center, Rotterdam, The Netherlands,Department of Immunology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Annoek E C Broers
- Department of Hematology, Erasmus Cancer Institute, Rotterdam, The Netherlands
| | - Caroline M den Hoed
- Erasmus MC Transplant Institute, Erasmus University Medical Center, Rotterdam, The Netherlands,Department of Gastroenterology and Hepatology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Olivier C Manintveld
- Erasmus MC Transplant Institute, Erasmus University Medical Center, Rotterdam, The Netherlands,Department of Cardiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Carla C Baan
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands,Erasmus MC Transplant Institute, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Charlotte M van Deuzen
- Department of Internal Medicine, Section of Infectious Diseases and Department of Medical Microbiology and Infectious Diseases, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Grigorios Papageorgiou
- Department of Biostatistics and Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Hannelore I Bax
- Department of Internal Medicine, Section of Infectious Diseases and Department of Medical Microbiology and Infectious Diseases, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Jeroen J Van Kampen
- Department of Viroscience, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Merel E Hellemons
- Erasmus MC Transplant Institute, Erasmus University Medical Center, Rotterdam, The Netherlands,Department of Pulmonary Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Marcia M L Kho
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands,Erasmus MC Transplant Institute, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Rory D de Vries
- Department of Viroscience, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Richard Molenkamp
- Department of Viroscience, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Marlies E J Reinders
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands,Erasmus MC Transplant Institute, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Bart J A Rijnders
- Correspondence: Bart Rijnders, Department of Internal Medicine, Section of Infectious Diseases, Room Rg530, Erasmus MC University MedicalCenter, PB2040, 3000CA Rotterdam, The Netherlands ()
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733
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Vihta KD, Pouwels KB, Peto TEA, Pritchard E, House T, Studley R, Rourke E, Cook D, Diamond I, Crook D, Clifton DA, Matthews PC, Stoesser N, Eyre DW, Walker AS. Omicron-associated changes in SARS-CoV-2 symptoms in the United Kingdom. Clin Infect Dis 2022; 76:ciac613. [PMID: 35917440 PMCID: PMC9384604 DOI: 10.1093/cid/ciac613] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 07/14/2022] [Accepted: 07/22/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND The SARS-CoV-2 Delta variant has been replaced by the highly transmissible Omicron BA.1 variant, and subsequently by Omicron BA.2. It is important to understand how these changes in dominant variants affect reported symptoms, while also accounting for symptoms arising from other co-circulating respiratory viruses. METHODS In a nationally representative UK community study, the COVID-19 Infection Survey, we investigated symptoms in PCR-positive infection episodes vs. PCR-negative study visits over calendar time, by age and vaccination status, comparing periods when the Delta, Omicron BA.1 and BA.2 variants were dominant. RESULTS Between October-2020 and April-2022, 120,995 SARS-CoV-2 PCR-positive episodes occurred in 115,886 participants, with 70,683 (58%) reporting symptoms. The comparator comprised 4,766,366 PCR-negative study visits (483,894 participants); 203,422 (4%) reporting symptoms. Symptom reporting in PCR-positives varied over time, with a marked reduction in loss of taste/smell as Omicron BA.1 dominated, maintained with BA.2 (44%/45% 17 October 2021, 16%/13% 2 January 2022, 15%/12% 27 March 2022). Cough, fever, shortness of breath, myalgia, fatigue/weakness and headache also decreased after Omicron BA.1 dominated, but sore throat increased, the latter to a greater degree than concurrent increases in PCR-negatives. Fatigue/weakness increased again after BA.2 dominated, although to a similar degree to concurrent increases in PCR-negatives. Symptoms were consistently more common in adults aged 18-65 years than in children or older adults. CONCLUSIONS Increases in sore throat (also common in the general community), and a marked reduction in loss of taste/smell, make Omicron harder to detect with symptom-based testing algorithms, with implications for institutional and national testing policies.
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Affiliation(s)
- Karina-Doris Vihta
- Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
- The National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at the University of Oxford, Oxford, United Kingdom
- Department of Engineering, University of Oxford, Oxford, United Kingdom
| | - Koen B Pouwels
- The National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at the University of Oxford, Oxford, United Kingdom
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Tim E A Peto
- Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
- The National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at the University of Oxford, Oxford, United Kingdom
- The National Institute for Health Research Oxford Biomedical Research Centre, University of Oxford, Oxford, United Kingdom
- Department of Infectious Diseases and Microbiology, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, United Kingdom
| | - Emma Pritchard
- Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
- The National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at the University of Oxford, Oxford, United Kingdom
| | - Thomas House
- Department of Mathematics, University of Manchester, Manchester, United Kingdom
- IBM Research, Hartree Centre, Sci-Tech Daresbury, Daresbury, United Kingdom
| | - Ruth Studley
- Office for National Statistics, Newport, United Kingdom
| | - Emma Rourke
- Office for National Statistics, Newport, United Kingdom
| | - Duncan Cook
- Office for National Statistics, Newport, United Kingdom
| | - Ian Diamond
- Office for National Statistics, Newport, United Kingdom
| | - Derrick Crook
- Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
- The National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at the University of Oxford, Oxford, United Kingdom
- The National Institute for Health Research Oxford Biomedical Research Centre, University of Oxford, Oxford, United Kingdom
- Department of Infectious Diseases and Microbiology, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, United Kingdom
| | - David A Clifton
- Department of Engineering, University of Oxford, Oxford, United Kingdom
| | - Philippa C Matthews
- Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
- Francis Crick Institute, London, United Kingdom
- Division of Infection and Immunity, University College London, London, United Kingdom
- Department of Infection, University College London Hospitals, London, United Kingdom
| | - Nicole Stoesser
- Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
- The National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at the University of Oxford, Oxford, United Kingdom
- The National Institute for Health Research Oxford Biomedical Research Centre, University of Oxford, Oxford, United Kingdom
- Department of Infectious Diseases and Microbiology, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford, United Kingdom
| | - David W Eyre
- The National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at the University of Oxford, Oxford, United Kingdom
- The National Institute for Health Research Oxford Biomedical Research Centre, University of Oxford, Oxford, United Kingdom
- Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Ann Sarah Walker
- Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
- The National Institute for Health Research Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at the University of Oxford, Oxford, United Kingdom
- The National Institute for Health Research Oxford Biomedical Research Centre, University of Oxford, Oxford, United Kingdom
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734
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Breakthrough COVID-19 in Vaccinated Patients with Haematologic Malignancies-The First Single-Centre Experience from the Czech Republic. Life (Basel) 2022; 12:life12081184. [PMID: 36013363 PMCID: PMC9410412 DOI: 10.3390/life12081184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 07/21/2022] [Accepted: 08/01/2022] [Indexed: 11/30/2022] Open
Abstract
Vaccination is an important tool in the fight against the COVID-19 pandemic in patients with haematologic malignancies. The paper provides an analysis of the course of breakthrough SARS-CoV-2 infection in a group of vaccinated patients with haematological malignancy and a comparison with a historical cohort of 96 non-vaccinated patients with haematologic malignancies and bone marrow failure syndromes (two patients) in the treatment of COVID-19. A severe or critical course of COVID-19 was significantly less frequent in the group of vaccinated patients (10.2% vs. 31.4%, p = 0.003). The need for hospitalisation due to COVID-19 was significantly lower in vaccinated patients (27.1% vs. 72.6%, p < 0.0001) and the duration of hospitalisation was significantly shorter (10 vs. 14 days, p = 0.045). Vaccinated patients were insignificantly less likely to require oxygen therapy during infection. COVID-19 mortality was significantly higher in non-vaccinated patients (15.6% vs. 5.1%, p = 0.047). The paper demonstrated a significant positive effect of vaccination against COVID-19 on a less severe clinical course of infection, lower need for hospitalisation and mortality. However, the results need to be evaluated even in the context of new antivirals and monoclonal antibodies against SARS-CoV-2 or virus mutations with different biological behaviour.
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735
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Epidemiological Comparison of Four COVID-19 Waves in the Democratic Republic of the Congo, March 2020-January 2022. J Epidemiol Glob Health 2022; 12:316-327. [PMID: 35921045 PMCID: PMC9346056 DOI: 10.1007/s44197-022-00052-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Accepted: 07/24/2022] [Indexed: 01/08/2023] Open
Abstract
PURPOSE Nationwide analyses are required to optimise and tailor activities to control future COVID-19 waves of resurgence continent-wide. We compared epidemiological and clinical outcomes of the four COVID-19 waves in the Democratic Republic of Congo (DRC). METHODS This retrospective descriptive epidemiological analysis included data from the national line list of confirmed COVID-19 cases in all provinces for all waves between 9 March 2020 and 2 January 2022. Descriptive statistical measures (frequencies, percentages, case fatality rates [CFR], test positivity rates [TPR], and characteristics) were compared using chi-squared or the Fisher-Irwin test. RESULTS During the study period, 72,108/445,084 (16.2%) tests were positive, with 9,641/56,637 (17.0%), 16,643/66,560 (25.0%), 24,172/157,945 (15.3%), and 21,652/163,942 (13.2%) cases during the first, second, third, and fourth waves, respectively. TPR significantly decreased from 17.0% in the first wave to 13.2% in the fourth wave as did infection of frontline health workers (5.2% vs. 0.9%). CFR decreased from 5.1 to 0.9% from the first to fourth wave. No sex- or age-related differences in distributions across different waves were observed. The majority of cases were asymptomatic in the first (73.1%) and second (86.6%) waves, in contrast to that in the third (11.1%) and fourth (31.3%) waves. CONCLUSION Despite fewer reported cases, the primary waves (first and second) of the COVID-19 pandemic in the DRC were more severe than the third and fourth waves, with each wave being associated with a new SARS-CoV-2 variant. Tailored public health and social measures, and resurgence monitoring are needed to control future waves of COVID-19.
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736
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Affiliation(s)
- Ramon Lorenzo-Redondo
- Division of Infectious Diseases, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Center for Pathogen Genomics and Microbial Evolution, Northwestern University Havey Institute for Global Health, Chicago, IL, USA
| | - Egon A Ozer
- Division of Infectious Diseases, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Center for Pathogen Genomics and Microbial Evolution, Northwestern University Havey Institute for Global Health, Chicago, IL, USA
| | - Judd F Hultquist
- Division of Infectious Diseases, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
- Center for Pathogen Genomics and Microbial Evolution, Northwestern University Havey Institute for Global Health, Chicago, IL, USA
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737
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Ward IL, Bermingham C, Ayoubkhani D, Gethings OJ, Pouwels KB, Yates T, Khunti K, Hippisley-Cox J, Banerjee A, Walker AS, Nafilyan V. Risk of covid-19 related deaths for SARS-CoV-2 omicron (B.1.1.529) compared with delta (B.1.617.2): retrospective cohort study. BMJ 2022; 378:e070695. [PMID: 35918098 PMCID: PMC9344192 DOI: 10.1136/bmj-2022-070695] [Citation(s) in RCA: 94] [Impact Index Per Article: 31.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
OBJECTIVE To assess the risk of covid-19 death after infection with omicron BA.1 compared with delta (B.1.617.2). DESIGN Retrospective cohort study. SETTING England, United Kingdom, from 1 December 2021 to 30 December 2021. PARTICIPANTS 1 035 149 people aged 18-100 years who tested positive for SARS-CoV-2 under the national surveillance programme and had an infection identified as omicron BA.1 or delta compatible. MAIN OUTCOME MEASURES The main outcome measure was covid-19 death as identified from death certification records. The exposure of interest was the SARS-CoV-2 variant identified from NHS Test and Trace PCR positive tests taken in the community (pillar 2) and analysed by Lighthouse laboratories. Cause specific Cox proportional hazard regression models (censoring non-covid-19 deaths) were adjusted for sex, age, vaccination status, previous infection, calendar time, ethnicity, index of multiple deprivation rank, household deprivation, university degree, keyworker status, country of birth, main language, region, disability, and comorbidities. Interactions between variant and sex, age, vaccination status, and comorbidities were also investigated. RESULTS The risk of covid-19 death was 66% lower (95% confidence interval 54% to 75%) for omicron BA.1 compared with delta after adjusting for a wide range of potential confounders. The reduction in the risk of covid-19 death for omicron compared with delta was more pronounced in people aged 18-59 years (number of deaths: delta=46, omicron=11; hazard ratio 0.14, 95% confidence interval 0.07 to 0.27) than in those aged ≥70 years (number of deaths: delta=113, omicron=135; hazard ratio 0.44, 95% confidence interval 0.32 to 0.61, P<0.0001). No evidence of a difference in risk was found between variant and number of comorbidities. CONCLUSIONS The results support earlier studies showing a reduction in severity of infection with omicron BA.1 compared with delta in terms of hospital admission. This study extends the research to also show a reduction in the risk of covid-19 death for the omicron variant compared with the delta variant.
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Affiliation(s)
| | | | | | | | - Koen B Pouwels
- Health Economics Research Centre, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Thomas Yates
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK
- National Institute for Health Research (NIHR) Leicester Biomedical Research Centre (BRC), Leicester General Hospital, Leicester, UK
| | - Kamlesh Khunti
- Diabetes Research Centre, University of Leicester, Leicester General Hospital, Leicester, UK
- National Institute for Health Research (NIHR) Leicester Biomedical Research Centre (BRC), Leicester General Hospital, Leicester, UK
| | - Julia Hippisley-Cox
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Amitava Banerjee
- Institute of Health Informatics, University College London, London, UK
- Department of Cardiology, Barts Health NHS Trust, London, UK
| | - Ann Sarah Walker
- Nuffield Department of Medicine, University of Oxford, Oxford, UK
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738
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Skarbinski J, Wood MS, Chervo TC, Schapiro JM, Elkin EP, Valice E, Amsden LB, Hsiao C, Quesenberry C, Corley DA, Kushi LH. Risk of severe clinical outcomes among persons with SARS-CoV-2 infection with differing levels of vaccination during widespread Omicron (B.1.1.529) and Delta (B.1.617.2) variant circulation in Northern California: A retrospective cohort study. LANCET REGIONAL HEALTH. AMERICAS 2022; 12:100297. [PMID: 35756977 PMCID: PMC9212563 DOI: 10.1016/j.lana.2022.100297] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Background The incidence of and risk factors for severe clinical outcomes with the Omicron (B.1.1.529) SARS-CoV-2 variant have not been well-defined. Methods We conducted a retrospective cohort study to assess risks of severe clinical outcomes within 21 days after SARS-CoV-2 diagnosis in a large, diverse, integrated health system. Findings Among 118,078 persons with incident SARS-CoV-2 infection, 48,101 (41%) were during the Omicron period and 69,977 (59%) during the Delta (B.1.617.2) period. Cumulative incidence of any hospitalization (2.4% versus 7.8%; adjusted hazard ratio [aHR] 0.55; 95% confidence interval [CI] (0.51-0.59), with low-flow oxygen support (1.6% versus 6.4%; aHR 0.46; CI 0.43-0.50), with high-flow oxygen support (0.6% versus 2.8%; aHR 0.47; CI 0.41-0.54), with invasive mechanical ventilation (0.1% versus 0.7%; aHR 0.43; CI 0.33-0.56), and death (0.2% versus 0.7%; aHR 0.54; CI 0.42-0.70) were lower in the Omicron than the Delta period. The risk of hospitalization was higher among unvaccinated persons (aHR 8.34; CI 7.25-9.60) and those who completed a primary COVID-19 vaccination series (aHR 1.72; CI 1.49-1.97) compared with those who completed a primary vaccination series and an additional dose. The strongest risk factors for all severe clinical outcomes were older age, higher body mass index and select comorbidities. Interpretation Persons with SARS-CoV-2 infection were significantly less likely to develop severe clinical outcomes during the Omicron period compared with the Delta period. COVID-19 primary vaccination and additional doses were associated with reduced risk of severe clinical outcomes among those with SARS-CoV-2 infection. Funding National Cancer Institute and The Permanente Medical Group.
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Affiliation(s)
- Jacek Skarbinski
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA.,Department of Infectious Diseases, Oakland Medical Center, Kaiser Permanente Northern California, Oakland, CA, USA.,Physician Researcher Program, Kaiser Permanente Northern California, Oakland, CA, USA.,The Permanente Medical Group, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Mariah S Wood
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Tyler C Chervo
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Jeffrey M Schapiro
- The Permanente Medical Group, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Eric P Elkin
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Emily Valice
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Laura B Amsden
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Crystal Hsiao
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Charles Quesenberry
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Douglas A Corley
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA.,Physician Researcher Program, Kaiser Permanente Northern California, Oakland, CA, USA.,The Permanente Medical Group, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Lawrence H Kushi
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
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739
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Boekel L, Besten YR, Hooijberg F, Wartena R, Steenhuis M, Vogelzang E, Leeuw M, Atiqi S, Tas SW, Lems WF, van Ham SM, Eftimov F, Stalman EW, Wieske L, Kuijpers TW, Voskuyl AE, van Vollenhoven RF, Gerritsen M, Krieckaert C, Rispens T, Boers M, Nurmohamed MT, Wolbink G. SARS-CoV-2 breakthrough infections in patients with immune-mediated inflammatory diseases during the omicron dominant period. THE LANCET RHEUMATOLOGY 2022; 4:e747-e750. [PMID: 36034738 PMCID: PMC9398211 DOI: 10.1016/s2665-9913(22)00221-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Affiliation(s)
- Laura Boekel
- Department of Rheumatology, Amsterdam Rheumatology and Immunology Center, location Reade, 1056 AB, Amsterdam, Netherlands
| | - Yaëlle R Besten
- Department of Rheumatology, Amsterdam Rheumatology and Immunology Center, location Reade, 1056 AB, Amsterdam, Netherlands
| | - Femke Hooijberg
- Department of Rheumatology, Amsterdam Rheumatology and Immunology Center, location Reade, 1056 AB, Amsterdam, Netherlands
| | - Rosa Wartena
- Department of Rheumatology, Amsterdam Rheumatology and Immunology Center, location Reade, 1056 AB, Amsterdam, Netherlands
| | - Maurice Steenhuis
- Department of immunopathology, Sanquin Research and Landsteiner Laboratory, Amsterdam UMC, Amsterdam, Netherlands
| | - Erik Vogelzang
- Department of Medical Microbiology and Infection Control, Amsterdam UMC, location AMC, Amsterdam, Netherlands
| | - Maureen Leeuw
- Department of Rheumatology, Amsterdam Rheumatology and Immunology Center, location Reade, 1056 AB, Amsterdam, Netherlands
| | - Sadaf Atiqi
- Department of Rheumatology, Amsterdam Rheumatology and Immunology Center, location Reade, 1056 AB, Amsterdam, Netherlands
| | - Sander W Tas
- Department of Rheumatology and Clinical Immunology, Amsterdam Rheumatology and Immunology Center, University of Amsterdam, Amsterdam, Netherlands
| | - Willem F Lems
- Department of Rheumatology, Amsterdam Rheumatology and Immunology Center, location Reade, 1056 AB, Amsterdam, Netherlands
- Department of Rheumatology and Clinical Immunology, Amsterdam Rheumatology and Immunology Center, VU University Medical Center, Amsterdam, Netherlands
| | - S Marieke van Ham
- Department of immunopathology, Sanquin Research and Landsteiner Laboratory, Amsterdam UMC, Amsterdam, Netherlands
- Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, Netherlands
| | - Filip Eftimov
- Department of Neurology and Neurophysiology, Amsterdam Neuroscience, Amsterdam UMC, location AMC, University of Amsterdam, Amsterdam, Netherlands
| | - Eileen W Stalman
- Department of Neurology and Neurophysiology, Amsterdam Neuroscience, Amsterdam UMC, location AMC, University of Amsterdam, Amsterdam, Netherlands
| | - Luuk Wieske
- Department of Neurology and Neurophysiology, Amsterdam Neuroscience, Amsterdam UMC, location AMC, University of Amsterdam, Amsterdam, Netherlands
- Department of Clinical Neurophysiology, St Antonius Hospital, Nieuwegein, Netherlands
| | - Taco W Kuijpers
- Department of Pediatric Immunology, Rheumatology and Infectious Disease, Amsterdam UMC, location AMC, University of Amsterdam, Amsterdam, Netherlands
| | - Alexandre E Voskuyl
- Department of Rheumatology and Clinical Immunology, Amsterdam Rheumatology and Immunology Center, VU University Medical Center, Amsterdam, Netherlands
| | - Ronald F van Vollenhoven
- Department of Rheumatology and Clinical Immunology, Amsterdam Rheumatology and Immunology Center, University of Amsterdam, Amsterdam, Netherlands
| | - Martijn Gerritsen
- Department of Rheumatology, Amsterdam Rheumatology and Immunology Center, location Reade, 1056 AB, Amsterdam, Netherlands
| | - Charlotte Krieckaert
- Department of Rheumatology, Amsterdam Rheumatology and Immunology Center, location Reade, 1056 AB, Amsterdam, Netherlands
| | - Theo Rispens
- Department of immunopathology, Sanquin Research and Landsteiner Laboratory, Amsterdam UMC, Amsterdam, Netherlands
| | - Maarten Boers
- Department of Rheumatology, Amsterdam Rheumatology and Immunology Center, location Reade, 1056 AB, Amsterdam, Netherlands
- Department of Epidemiology and Data Science, Vrije Universiteit, Amsterdam UMC, Amsterdam, Netherlands
| | - Mike T Nurmohamed
- Department of Rheumatology, Amsterdam Rheumatology and Immunology Center, location Reade, 1056 AB, Amsterdam, Netherlands
- Department of Rheumatology and Clinical Immunology, Amsterdam Rheumatology and Immunology Center, VU University Medical Center, Amsterdam, Netherlands
| | - Gertjan Wolbink
- Department of Rheumatology, Amsterdam Rheumatology and Immunology Center, location Reade, 1056 AB, Amsterdam, Netherlands
- Department of immunopathology, Sanquin Research and Landsteiner Laboratory, Amsterdam UMC, Amsterdam, Netherlands
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740
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Ng OT, Marimuthu K, Lim N, Lim ZQ, Thevasagayam NM, Koh V, Chiew CJ, Ma S, Koh M, Low PY, Tan SB, Ho J, Maurer-Stroh S, Lee VJM, Leo YS, Tan KB, Cook AR, Tan CC. Analysis of COVID-19 Incidence and Severity Among Adults Vaccinated With 2-Dose mRNA COVID-19 or Inactivated SARS-CoV-2 Vaccines With and Without Boosters in Singapore. JAMA Netw Open 2022; 5:e2228900. [PMID: 36018588 PMCID: PMC9419014 DOI: 10.1001/jamanetworkopen.2022.28900] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
IMPORTANCE Assessing booster effectiveness of COVID-19 mRNA vaccine and inactivated SARS-CoV-2 vaccine over longer time intervals and in response to any further SARS-CoV-2 variants is crucial in determining optimal COVID-19 vaccination strategies. OBJECTIVE To determine levels of protection against severe COVID-19 and confirmed SARS-CoV-2 infection by types and combinations of vaccine boosters in Singapore during the Omicron wave. DESIGN, SETTING, AND PARTICIPANTS This cohort study included Singapore residents aged 30 years or more vaccinated with either at least 2 doses of mRNA COVID-19 vaccines (ie, Pfizer-BioNTech BNT162b2 or Moderna mRNA-1273) or inactivated SARS-CoV-2 vaccines (Sinovac CoronaVac or Sinopharm BBIBP-CorV) as of March 10, 2022. Individuals with a known SARS-CoV-2 infection prior to December 27, 2021, an infection on or before the date of their second vaccine dose, or with reinfection cases were excluded. EXPOSURES Two or 3 doses of Pfizer-BioNTech BNT162b2, Moderna mRNA-1273, Sinovac CoronaVac, or Sinopharm BBIBP-CorV. MAIN OUTCOMES AND MEASURES Notified infections from December 27, 2021, to March 10, 2022, adjusted for age, sex, race, housing status, and calendar days. Estimated booster effectiveness, defined as the relative incidence-rate reduction of severe disease (supplemental oxygen, intensive care, or death) or confirmed infection following 3-dose vaccination compared with 5 months after second mRNA dose, was determined using binomial regression. RESULTS Among 2 441 581 eligible individuals (1 279 047 [52.4%] women, 846 110 (34.7%) aged 60 years and older), there were 319 943 (13.1%) confirmed SARS-CoV-2 infections, of which 1513 (0.4%) were severe COVID-19 cases. mRNA booster effectiveness against confirmed infection 15 to 60 days after boosting was estimated to range from 31.7% to 41.3% for the 4 boosting combinations (homologous BNT162b2, homologous mRNA-1273, 2-dose BNT162b2/mRNA-1273 booster, and 2-dose mRNA-1273/BNT162b2 booster). Five months and more after boosting, estimated booster effectiveness against confirmed infection waned, ranging from -2.8% to 14.6%. Against severe COVID-19, estimated mRNA booster effectiveness was 87.4% (95% CI, 83.3%-90.5%) 15 to 60 days after boosting and 87.2% (95% CI, 84.2%-89.7%) 5 to 6 months after boosting, with no significant difference comparing vaccine combinations. Booster effectiveness against severe COVID-19 15 days to 330 days after 3-dose inactivated COVID-19 vaccination, regardless of combination, was estimated to be 69.6% (95% CI, 48.7%-81.9%). CONCLUSIONS AND RELEVANCE Booster mRNA vaccine protection against severe COVID-19 was estimated to be durable over 6 months. Three-dose inactivated SARS-CoV-2 vaccination provided greater protection than 2-dose but weaker protection compared with 3-dose mRNA.
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Affiliation(s)
- Oon Tek Ng
- National Centre for Infectious Diseases, Singapore
- Tan Tock Seng Hospital, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Kalisvar Marimuthu
- National Centre for Infectious Diseases, Singapore
- Tan Tock Seng Hospital, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
| | - Nigel Lim
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Ze Qin Lim
- National Centre for Infectious Diseases, Singapore
- Tan Tock Seng Hospital, Singapore
| | | | - Vanessa Koh
- National Centre for Infectious Diseases, Singapore
- Tan Tock Seng Hospital, Singapore
| | - Calvin J. Chiew
- Communicable Diseases Division, Ministry of Health, Singapore
| | - Stefan Ma
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Public Health Group, Ministry of Health, Singapore
| | | | | | - Say Beng Tan
- National Medical Research Council, Ministry of Health, Singapore
- SingHealth, Singapore
- Duke-National University of Singapore Medical School, Singapore
| | - Joses Ho
- Bioinformatics Institute, Agency for Science Technology and Research, Singapore
- GISAID Global Data Science Initiative, Munich, Germany
| | - Sebastian Maurer-Stroh
- National Centre for Infectious Diseases, Singapore
- Bioinformatics Institute, Agency for Science Technology and Research, Singapore
- Infectious Diseases Labs, Agency for Science Technology and Research, Singapore
- Department of Biological Sciences, National University of Singapore, Singapore
| | - Vernon J. M. Lee
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Communicable Diseases Division, Ministry of Health, Singapore
| | - Yee-Sin Leo
- National Centre for Infectious Diseases, Singapore
- Tan Tock Seng Hospital, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Kelvin Bryan Tan
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Ministry of Health, Singapore
- Centre for Regulatory Excellence, Duke-National University of Singapore Medical School, Singapore
| | - Alex R. Cook
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Chorh Chuan Tan
- Office of Healthcare Transformation, Ministry of Health, Singapore
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741
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Kim SR, Englund JA. How Do We Stop the Spread of SARS-CoV-2 in Young Children? JAMA Netw Open 2022; 5:e2227357. [PMID: 36044224 DOI: 10.1001/jamanetworkopen.2022.27357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- Sara R Kim
- Department of Pediatrics, Seattle Children's Research Institute, University of Washington, Seattle
| | - Janet A Englund
- Department of Pediatrics, Seattle Children's Research Institute, University of Washington, Seattle
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742
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Lee WL, Armas F, Guarneri F, Gu X, Formenti N, Wu F, Chandra F, Parisio G, Chen H, Xiao A, Romeo C, Scali F, Tonni M, Leifels M, Chua FJD, Kwok GW, Tay JY, Pasquali P, Thompson J, Alborali GL, Alm EJ. Rapid displacement of SARS-CoV-2 variant Delta by Omicron revealed by allele-specific PCR in wastewater. WATER RESEARCH 2022; 221:118809. [PMID: 35841797 PMCID: PMC9250349 DOI: 10.1016/j.watres.2022.118809] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 06/18/2022] [Accepted: 07/01/2022] [Indexed: 05/06/2023]
Abstract
On November 26, 2021, the B.1.1.529 COVID-19 variant was classified as the Omicron variant of concern (VOC). Reports of higher transmissibility and potential immune evasion triggered flight bans and heightened health control measures across the world to stem its distribution. Wastewater-based surveillance has demonstrated to be a useful complement for clinical community-based tracking of SARS-CoV-2 variants. Using design principles of our previous assays that detect SARS-CoV-2 variants (Alpha and Delta), we developed an allele-specific RT-qPCR assay which simultaneously targets the stretch of mutations from Q493R to Q498R for quantitative detection of the Omicron variant in wastewater. We report their validation against 10-month longitudinal samples from the influent of a wastewater treatment plant in Italy. SARS-CoV-2 RNA concentrations and variant frequencies in wastewater determined using these variant assays agree with clinical cases, revealing rapid displacement of the Delta variant by the Omicron variant within three weeks. These variant trends, when mapped against vaccination rates, support clinical studies that found the rapid emergence of SARS-CoV-2 Omicron variant being associated with an infection advantage over Delta in vaccinated persons. These data reinforce the versatility, utility and accuracy of these open-sourced methods using allele-specific RT-qPCR for tracking the dynamics of variant displacement in communities through wastewater for informed public health responses.
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Affiliation(s)
- Wei Lin Lee
- Antimicrobial Resistance Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore; Campus for Research Excellence and Technological Enterprise (CREATE), Singapore
| | - Federica Armas
- Antimicrobial Resistance Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore; Campus for Research Excellence and Technological Enterprise (CREATE), Singapore
| | - Flavia Guarneri
- Istituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia Romagna "Bruno Ubertini" (IZSLER), Italy
| | - Xiaoqiong Gu
- Antimicrobial Resistance Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore; Campus for Research Excellence and Technological Enterprise (CREATE), Singapore
| | - Nicoletta Formenti
- Istituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia Romagna "Bruno Ubertini" (IZSLER), Italy
| | - Fuqing Wu
- Center for Infectious Disease, Department of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas School of Public Health, Houston, TX, USA
| | - Franciscus Chandra
- Antimicrobial Resistance Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore; Campus for Research Excellence and Technological Enterprise (CREATE), Singapore
| | - Giovanni Parisio
- Istituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia Romagna "Bruno Ubertini" (IZSLER), Italy
| | - Hongjie Chen
- Antimicrobial Resistance Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore; Campus for Research Excellence and Technological Enterprise (CREATE), Singapore
| | - Amy Xiao
- Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, USA; Department of Biological Engineering, Massachusetts Institute of Technology, USA
| | - Claudia Romeo
- Istituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia Romagna "Bruno Ubertini" (IZSLER), Italy
| | - Federico Scali
- Istituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia Romagna "Bruno Ubertini" (IZSLER), Italy
| | - Matteo Tonni
- Istituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia Romagna "Bruno Ubertini" (IZSLER), Italy
| | - Mats Leifels
- Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore
| | - Feng Jun Desmond Chua
- Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore
| | - Germaine Wc Kwok
- Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore
| | - Joey Yr Tay
- Antimicrobial Resistance Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore; Campus for Research Excellence and Technological Enterprise (CREATE), Singapore
| | - Paolo Pasquali
- Dipartimento di Sicurezza Alimentare, Nutrizione e Sanità Pubblica Veterinaria, Istituto Superiore di Sanità, Italy
| | - Janelle Thompson
- Campus for Research Excellence and Technological Enterprise (CREATE), Singapore; Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore; Asian School of the Environment, Nanyang Technological University, Singapore.
| | - Giovanni Loris Alborali
- Istituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia Romagna "Bruno Ubertini" (IZSLER), Italy
| | - Eric J Alm
- Antimicrobial Resistance Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, Singapore; Campus for Research Excellence and Technological Enterprise (CREATE), Singapore; Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, USA; Department of Biological Engineering, Massachusetts Institute of Technology, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA.
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743
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Aiello TF, Puerta-Alcalde P, Chumbita M, Monzó P, Lopera C, Hurtado JC, Meira F, Mosquera M, Santos M, Fernandez-Pittol M, Mensa J, Martínez JA, Soriano A, Marcos MA, Garcia-Vidal C. Infection with the Omicron variant of SARS-CoV-2 is associated with less severe disease in hospitalized patients with COVID-19. J Infect 2022; 85:e152-e154. [PMID: 35940349 PMCID: PMC9355741 DOI: 10.1016/j.jinf.2022.07.029] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Revised: 07/29/2022] [Accepted: 07/31/2022] [Indexed: 01/01/2023]
Affiliation(s)
- Tommaso Francesco Aiello
- Infectious Diseases Department, Hospital Clinic of Barcelona-IDIBAPS, Universitat de Barcelona, C/ Villarroel 170, Barcelona 08036, Spain.
| | - Pedro Puerta-Alcalde
- Infectious Diseases Department, Hospital Clinic of Barcelona-IDIBAPS, Universitat de Barcelona, C/ Villarroel 170, Barcelona 08036, Spain
| | - Mariana Chumbita
- Infectious Diseases Department, Hospital Clinic of Barcelona-IDIBAPS, Universitat de Barcelona, C/ Villarroel 170, Barcelona 08036, Spain
| | - Patricia Monzó
- Infectious Diseases Department, Hospital Clinic of Barcelona-IDIBAPS, Universitat de Barcelona, C/ Villarroel 170, Barcelona 08036, Spain
| | - Carlos Lopera
- Infectious Diseases Department, Hospital Clinic of Barcelona-IDIBAPS, Universitat de Barcelona, C/ Villarroel 170, Barcelona 08036, Spain
| | - Juan Carlos Hurtado
- Microbiology Department, Hospital Clinic, University of Barcelona, ISGLOBAL, Barcelona, Spain
| | - Fernanda Meira
- Infectious Diseases Department, Hospital Clinic of Barcelona-IDIBAPS, Universitat de Barcelona, C/ Villarroel 170, Barcelona 08036, Spain
| | - Mar Mosquera
- Microbiology Department, Hospital Clinic, University of Barcelona, ISGLOBAL, Barcelona, Spain
| | - Marta Santos
- Microbiology Department, Hospital Clinic, University of Barcelona, ISGLOBAL, Barcelona, Spain
| | | | - Josep Mensa
- Infectious Diseases Department, Hospital Clinic of Barcelona-IDIBAPS, Universitat de Barcelona, C/ Villarroel 170, Barcelona 08036, Spain
| | - José Antonio Martínez
- Infectious Diseases Department, Hospital Clinic of Barcelona-IDIBAPS, Universitat de Barcelona, C/ Villarroel 170, Barcelona 08036, Spain
| | - Alex Soriano
- Infectious Diseases Department, Hospital Clinic of Barcelona-IDIBAPS, Universitat de Barcelona, C/ Villarroel 170, Barcelona 08036, Spain
| | - Ma Angeles Marcos
- Microbiology Department, Hospital Clinic, University of Barcelona, ISGLOBAL, Barcelona, Spain
| | - Carolina Garcia-Vidal
- Infectious Diseases Department, Hospital Clinic of Barcelona-IDIBAPS, Universitat de Barcelona, C/ Villarroel 170, Barcelona 08036, Spain.
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744
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Volle R, Murer L, Petkidis A, Andriasyan V, Savi A, Bircher C, Meili N, Fischer L, Sequeira DP, Mark DK, Gomez-Gonzalez A, Greber UF. Methylene blue, Mycophenolic acid, Posaconazole, and Niclosamide inhibit SARS-CoV-2 Omicron variant BA.1 infection of human airway epithelial organoids. CURRENT RESEARCH IN MICROBIAL SCIENCES 2022; 3:100158. [PMID: 35935678 PMCID: PMC9338451 DOI: 10.1016/j.crmicr.2022.100158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Sublineages of SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) Omicron variants continue to amass mutations in the spike (S) glycoprotein, which leads to immune evasion and rapid spread of the virus across the human population. Here we demonstrate the susceptibility of the Omicron variant BA.1 (B.1.1.529.1) to four repurposable drugs, Methylene blue (MB), Mycophenolic acid (MPA), Posaconazole (POS), and Niclosamide (Niclo) in post-exposure treatments of primary human airway cell cultures. MB, MPA, POS, and Niclo are known to block infection of human nasal and bronchial airway epithelial explant cultures (HAEEC) with the Wuhan strain, and four variants of concern (VoC), Alpha (B.1.1.7), Beta (B.1.351), Gamma (B.1.1.28), Delta (B.1.617.2) (Weiss et al., 2021, Murer et al., 2022). Our results here not only reinforce the broad anti-coronavirus effects of MB, MPA, POS and Niclo, but also demonstrate that the Omicron variant BA.1 (B.1.1.529.1) sheds infectious virus from HAEEC over at least 15 d, and maintains both intracellular and extracellular viral genomic RNA without overt toxicity, suggesting viral persistence. The data emphasize the potential of repurposable drugs against COVID-19.
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Affiliation(s)
- Romain Volle
- Department of Molecular Life Sciences, University of Zürich, Winterthurerstrasse 190, 8057, Zurich, Switzerland
| | - Luca Murer
- Department of Molecular Life Sciences, University of Zürich, Winterthurerstrasse 190, 8057, Zurich, Switzerland
| | - Anthony Petkidis
- Department of Molecular Life Sciences, University of Zürich, Winterthurerstrasse 190, 8057, Zurich, Switzerland
- Life Science Zürich Graduate School, ETH and University of Zurich, 8057 Zurich, Switzerland
| | - Vardan Andriasyan
- Department of Molecular Life Sciences, University of Zürich, Winterthurerstrasse 190, 8057, Zurich, Switzerland
| | - Alessandro Savi
- Department of Molecular Life Sciences, University of Zürich, Winterthurerstrasse 190, 8057, Zurich, Switzerland
- Life Science Zürich Graduate School, ETH and University of Zurich, 8057 Zurich, Switzerland
| | - Cornelia Bircher
- Department of Molecular Life Sciences, University of Zürich, Winterthurerstrasse 190, 8057, Zurich, Switzerland
- Life Science Zürich Graduate School, ETH and University of Zurich, 8057 Zurich, Switzerland
| | - Nicole Meili
- Department of Molecular Life Sciences, University of Zürich, Winterthurerstrasse 190, 8057, Zurich, Switzerland
| | - Lucy Fischer
- Department of Molecular Life Sciences, University of Zürich, Winterthurerstrasse 190, 8057, Zurich, Switzerland
| | - Daniela Policarpo Sequeira
- Department of Molecular Life Sciences, University of Zürich, Winterthurerstrasse 190, 8057, Zurich, Switzerland
- Life Science Zürich Graduate School, ETH and University of Zurich, 8057 Zurich, Switzerland
| | - Daniela Katharina Mark
- Department of Molecular Life Sciences, University of Zürich, Winterthurerstrasse 190, 8057, Zurich, Switzerland
| | - Alfonso Gomez-Gonzalez
- Department of Molecular Life Sciences, University of Zürich, Winterthurerstrasse 190, 8057, Zurich, Switzerland
- Life Science Zürich Graduate School, ETH and University of Zurich, 8057 Zurich, Switzerland
| | - Urs F. Greber
- Department of Molecular Life Sciences, University of Zürich, Winterthurerstrasse 190, 8057, Zurich, Switzerland
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745
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Otunuga OM. Analysis of multi-strain infection of vaccinated and recovered population through epidemic model: Application to COVID-19. PLoS One 2022; 17:e0271446. [PMID: 35905113 PMCID: PMC9337708 DOI: 10.1371/journal.pone.0271446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 06/30/2022] [Indexed: 11/19/2022] Open
Abstract
In this work, an innovative multi-strain SV EAIR epidemic model is developed for the study of the spread of a multi-strain infectious disease in a population infected by mutations of the disease. The population is assumed to be completely susceptible to n different variants of the disease, and those who are vaccinated and recovered from a specific strain k (k ≤ n) are immune to previous and present strains j = 1, 2, ⋯, k, but can still be infected by newer emerging strains j = k + 1, k + 2, ⋯, n. The model is designed to simulate the emergence and dissemination of viral strains. All the equilibrium points of the system are calculated and the conditions for existence and global stability of these points are investigated and used to answer the question as to whether it is possible for the population to have an endemic with more than one strain. An interesting result that shows that a strain with a reproduction number greater than one can still die out on the long run if a newer emerging strain has a greater reproduction number is verified numerically. The effect of vaccines on the population is also analyzed and a bound for the herd immunity threshold is calculated. The validity of the work done is verified through numerical simulations by applying the proposed model and strategy to analyze the multi-strains of the COVID-19 virus, in particular, the Delta and the Omicron variants, in the United State.
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746
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Cantarelli C, Angeletti A, Perin L, Russo LS, Sabiu G, Podestà MA, Cravedi P. Immune responses to SARS-CoV-2 in dialysis and kidney transplantation. Clin Kidney J 2022; 15:1816-1828. [PMID: 36147709 PMCID: PMC9384565 DOI: 10.1093/ckj/sfac174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2022] [Indexed: 11/15/2022] Open
Abstract
Despite progressive improvements in the management of patients with coronavirus disease 2019 (COVID-19), individuals with end-stage kidney disease (ESKD) are still at high risk of infection-related complications. Although the risk of infection in these patients is comparable to that of the general population, their lower rate of response to vaccination is a matter of concern. When prevention strategies fail, infection is often severe. Comorbidities affecting patients on maintenance dialysis and kidney transplant recipients clearly account for the increased risk of severe COVID-19, while the role of uremia and chronic immunosuppression is less clear. Immune monitoring studies have identified differences in the innate and adaptive immune response against the virus that could contribute to the increased disease severity. In particular, individuals on dialysis show signs of T cell exhaustion that may impair antiviral response. Similar to kidney transplant recipients, antibody production in these patients occurs, but with delayed kinetics compared with the general population, leaving them more exposed to viral expansion during the early phases of infection. Overall, unique features of the immune response during COVID-19 in individuals with ESKD may occur with severe comorbidities affecting these individuals in explaining their poor outcomes.
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Affiliation(s)
- Chiara Cantarelli
- UO Nefrologia, Azienda Ospedaliero-Universitaria di Parma , Parma , Italy
| | - Andrea Angeletti
- Division of Nephrology, Dialysis, Transplantation, IRCCS Istituto Giannina Gaslini
| | - Laura Perin
- GOFARR Laboratory for Organ Regenerative Research and Cell Therapeutics in Urology, Saban Research Institute, Division of Urology, Children's Hospital Los Angeles , Los Angeles, CA , USA ; , Los Angeles, CA
- Department of Urology, Keck School of Medicine, University of Southern California , Los Angeles, CA , USA ; , Los Angeles, CA
| | - Luis Sanchez Russo
- Department of Medicine, Icahn School of Medicine at Mount Sinai , New York, NY
| | - Gianmarco Sabiu
- Nephrology and Dialysis Unit, ASST Fatebenefratelli Sacco, Università degli Studi di Milano , Italy
| | - Manuel Alfredo Podestà
- Nephrology Unit, Department of Health Sciences, Università degli Studi di Milano , Italy
| | - Paolo Cravedi
- Department of Medicine, Icahn School of Medicine at Mount Sinai , New York, NY
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747
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Guo Y, Cowman K, Chang M, Bao H, Golia A, Mcsweeney T, Bard L, Simpson R, Andrews E, Pirofski LA, Nori P. Assessment of unvaccinated and vaccinated patients with coronavirus disease 2019 (COVID-19) treated with monoclonal antibodies during the delta wave (July 1-August 20, 2021): a retrospective observational monocentric study. BMC Infect Dis 2022; 22:645. [PMID: 35896965 PMCID: PMC9325951 DOI: 10.1186/s12879-022-07626-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Accepted: 07/11/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Monoclonal antibodies (mAb) prevent COVID-19 progression when administered early. We compared mAb treatment outcomes among vaccinated and unvaccinated patients during Delta wave and assessed the feasibility of implementing stricter eligibility criteria in the event of mAb scarcity. METHODS We conducted a retrospective observational study of casirivimab/imdevimab recipients with mild-to-moderate COVID-19 infection in an emergency department or outpatient infusion center (July 1-August 20, 2021). Primary outcome was all-cause hospital admission within 30 days post-treatment between vaccinated vs. unvaccinated patients during Delta surge in the Bronx, NY. RESULTS A total of 250 patients received casirivimab/imdevimab (162 unvaccinated vs. 88 vaccinated). The median age was 39 years for unvaccinated patients, and 52 years for vaccinated patients (p < 0.0001). The median number of EUA criteria met was 1 for unvaccinated and 2 for vaccinated patients (p < 0.0001). Overall, 6% (15/250) of patients were admitted within 30 days post-treatment. Eleven unvaccinated patients (7%) were admitted within 30-days compared to 4 (5%) vaccinated patients (p = 0.48). CONCLUSIONS All-cause 30-day admission was not statistically different between vaccinated and unvaccinated patients. When federal allocation of therapies is limited, programs must prioritize patients at highest risk of hospitalization and death regardless of vaccination status.
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Affiliation(s)
- Yi Guo
- Department of Pharmacy, Montefiore Medical Center Moses, 111 East 210th Street, Bronx, NY, 10467, USA.
- Division of Infectious Diseases, Department of Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, 3411 Wayne Avenue, #4H, Bronx, NY, 10467, USA.
| | - Kelsie Cowman
- Division of Infectious Diseases, Department of Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, 3411 Wayne Avenue, #4H, Bronx, NY, 10467, USA
- Network Performance Group, Montefiore Health System, Bronx, NY, USA
| | - Mei Chang
- Department of Pharmacy, Montefiore Medical Center Weiler, 1825 Eastchester Rd, Bronx, NY, 10461, USA
| | - Hongkai Bao
- Department of Pharmacy, Montefiore Medical Center Wakefield, 500 East 233rd St, Bronx, NY, 10466, USA
| | - Austin Golia
- Department of Pharmacy, Montefiore Medical Center Moses, 111 East 210th Street, Bronx, NY, 10467, USA
| | - Terrence Mcsweeney
- Department of Pharmacy, Montefiore Medical Center Moses, 111 East 210th Street, Bronx, NY, 10467, USA
| | - Linda Bard
- Faculty Practice Group, Montefiore Medical Center, 111 East 210th Street, Bronx, NY, 10467, USA
| | - Roxanne Simpson
- Department of Nursing, Montefiore Medical Center, 111 East 210th Street, Bronx, NY, 10467, USA
| | - Erin Andrews
- Network Performance Group, Montefiore Health System, Bronx, NY, USA
- Network Performance Group, Montefiore Health System, 5 Executive Plaza, Suite 112B, Yonkers, NY, 10701, USA
| | - Liise-Anne Pirofski
- Division of Infectious Diseases, Department of Microbiology and Immunology, Department of Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, 1300 Morris Park Ave, Bronx, NY, 10461, USA
| | - Priya Nori
- Division of Infectious Diseases, Department of Medicine, Montefiore Medical Center, Albert Einstein College of Medicine, 3411 Wayne Avenue, #4H, Bronx, NY, 10467, USA
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748
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Tong X, McNamara R, Avendaño M, Serrano E, García-Salum T, Pardo-Roa C, Levican J, Poblete E, Salina E, Muñoz A, Riquelme A, Alter G, Medina R. Waning and boosting of functional humoral immunity to SARS-CoV-2. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2022:2022.07.22.501163. [PMID: 35923313 PMCID: PMC9347272 DOI: 10.1101/2022.07.22.501163] [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: 01/08/2023]
Abstract
Since the emergence of the SARS-CoV-2 virus, we have witnessed a revolution in vaccine development with the rapid emergence and deployment of both traditional and novel vaccine platforms. The inactivated CoronaVac vaccine and the mRNA-based Pfizer/BNT162b2 vaccine are among the most widely distributed vaccines, both demonstrating high, albeit variable, vaccine effectiveness against severe COVID-19 over time. Beyond the ability of the vaccines to generate neutralizing antibodies, antibodies can attenuate disease via their ability to recruit the cytotoxic and opsinophagocytic functions of the immune response. However, whether Fc-effector functions are induced differentially, wane with different kinetics, and are boostable, remains unknown. Here, using systems serology, we profiled the Fc-effector profiles induced by the CoronaVac and BNT162b2 vaccines, over time. Despite the significantly higher antibody functional responses induced by the BNT162b2 vaccine, CoronaVac responses waned more slowly, albeit still found at levels below those present in the systemic circulation of BNT162b2 immunized individuals. However, mRNA boosting of the CoronaVac vaccine responses resulted in the induction of significantly higher peak antibody functional responses with increased humoral breadth, including to Omicron. Collectively, the data presented here point to striking differences in vaccine platform-induced functional humoral immune responses, that wane with different kinetics, and can be functionally rescued and expanded with boosting.
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Affiliation(s)
- X. Tong
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, 02139, USA
| | - R.P. McNamara
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, 02139, USA
| | - M.J. Avendaño
- Department of Pediatric Infectious Diseases and Immunology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago 8331010, Chile
| | - E.F. Serrano
- Department of Pediatric Infectious Diseases and Immunology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago 8331010, Chile
| | - T. García-Salum
- Department of Pediatric Infectious Diseases and Immunology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago 8331010, Chile
- Advanced Interdisciplinary Rehabilitation Register (AIRR) - COVID-19 Working Group, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago 8331010, Chile
- Department of Pathology and Laboratory Medicine, School of Medicine, Emory University, Atlanta, GA 30322, USA
| | - C. Pardo-Roa
- Department of Pediatric Infectious Diseases and Immunology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago 8331010, Chile
- Advanced Interdisciplinary Rehabilitation Register (AIRR) - COVID-19 Working Group, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago 8331010, Chile
| | - J. Levican
- Department of Pediatric Infectious Diseases and Immunology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago 8331010, Chile
| | - E. Poblete
- Department of Pediatric Infectious Diseases and Immunology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago 8331010, Chile
| | - E. Salina
- Department of Pediatric Infectious Diseases and Immunology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago 8331010, Chile
- Advanced Interdisciplinary Rehabilitation Register (AIRR) - COVID-19 Working Group, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago 8331010, Chile
| | - A. Muñoz
- Department of Pediatric Infectious Diseases and Immunology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago 8331010, Chile
| | - A. Riquelme
- Advanced Interdisciplinary Rehabilitation Register (AIRR) - COVID-19 Working Group, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago 8331010, Chile
- Department of Gastroenterology, School of Medicine, Pontificia Universidad Catolica de Chile, Santiago 8331010, Chile
| | - G. Alter
- Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA, 02139, USA
| | - R.A. Medina
- Department of Pediatric Infectious Diseases and Immunology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago 8331010, Chile
- Advanced Interdisciplinary Rehabilitation Register (AIRR) - COVID-19 Working Group, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago 8331010, Chile
- Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
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749
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Kudriavtsev AV, Vakhrusheva AV, Novoseletsky VN, Bozdaganyan ME, Shaitan KV, Kirpichnikov MP, Sokolova OS. Immune Escape Associated with RBD Omicron Mutations and SARS-CoV-2 Evolution Dynamics. Viruses 2022; 14:1603. [PMID: 35893668 PMCID: PMC9394476 DOI: 10.3390/v14081603] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 07/19/2022] [Accepted: 07/19/2022] [Indexed: 02/04/2023] Open
Abstract
The evolution and the emergence of new mutations of viruses affect their transmissibility and/or pathogenicity features, depending on different evolutionary scenarios of virus adaptation to the host. A typical trade-off scenario of SARS-CoV-2 evolution has been proposed, which leads to the appearance of an Omicron strain with lowered lethality, yet enhanced transmissibility. This direction of evolution might be partly explained by virus adaptation to therapeutic agents and enhanced escape from vaccine-induced and natural immunity formed by other SARS-CoV-2 strains. Omicron's high mutation rate in the Spike protein, as well as its previously described high genome mutation rate (Kandeel et al., 2021), revealed a gap between it and other SARS-CoV-2 strains, indicating the absence of a transitional evolutionary form to the Omicron strain. Therefore, Omicron has emerged as a new serotype divergent from the evolutionary lineage of other SARS-CoV-2 strains. Omicron is a rapidly evolving variant of high concern, whose new subvariants continue to manifest. Its further understanding and the further monitoring of key mutations that provide virus immune escape and/or high affinity towards the receptor could be useful for vaccine and therapeutic development in order to control the evolutionary direction of the COVID-19 pandemic.
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Affiliation(s)
- Aleksandr V. Kudriavtsev
- Faculty of Biology, Lomonosov Moscow State University, 119234 Moscow, Russia; (A.V.K.); (A.V.V.); (V.N.N.); (M.E.B.); (K.V.S.); (M.P.K.)
| | - Anna V. Vakhrusheva
- Faculty of Biology, Lomonosov Moscow State University, 119234 Moscow, Russia; (A.V.K.); (A.V.V.); (V.N.N.); (M.E.B.); (K.V.S.); (M.P.K.)
| | - Valery N. Novoseletsky
- Faculty of Biology, Lomonosov Moscow State University, 119234 Moscow, Russia; (A.V.K.); (A.V.V.); (V.N.N.); (M.E.B.); (K.V.S.); (M.P.K.)
| | - Marine E. Bozdaganyan
- Faculty of Biology, Lomonosov Moscow State University, 119234 Moscow, Russia; (A.V.K.); (A.V.V.); (V.N.N.); (M.E.B.); (K.V.S.); (M.P.K.)
- Faculty of Biology, Shenzhen MSU-BIT University, Shenzhen 518172, China
| | - Konstantin V. Shaitan
- Faculty of Biology, Lomonosov Moscow State University, 119234 Moscow, Russia; (A.V.K.); (A.V.V.); (V.N.N.); (M.E.B.); (K.V.S.); (M.P.K.)
- N. Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, 119991 Moscow, Russia
| | - Mikhail P. Kirpichnikov
- Faculty of Biology, Lomonosov Moscow State University, 119234 Moscow, Russia; (A.V.K.); (A.V.V.); (V.N.N.); (M.E.B.); (K.V.S.); (M.P.K.)
| | - Olga S. Sokolova
- Faculty of Biology, Lomonosov Moscow State University, 119234 Moscow, Russia; (A.V.K.); (A.V.V.); (V.N.N.); (M.E.B.); (K.V.S.); (M.P.K.)
- Faculty of Biology, Shenzhen MSU-BIT University, Shenzhen 518172, China
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750
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Zhang PP, Guo YT, Chu YQ, Ji QI, Lian Y, Li W, Yao LN. [Change in serum IgG antibody during the recovery stage of Omicron variant infection in children: an analysis of 110 cases]. ZHONGGUO DANG DAI ER KE ZA ZHI = CHINESE JOURNAL OF CONTEMPORARY PEDIATRICS 2022; 24:736-741. [PMID: 35894186 PMCID: PMC9336630 DOI: 10.7499/j.issn.1008-8830.2204074] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 06/01/2022] [Indexed: 01/20/2023]
Abstract
OBJECTIVES To investigate the serum level of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-specific RBD IgG antibody (SARS-CoV-2 IgG antibody for short) in children with SARS-CoV-2 Omicron variant infection during the recovery stage, as well as the protective effect of SARS-CoV-2 vaccination against Omicron infection. METHODS A retrospective analysis was performed on 110 children who were diagnosed with coronavirus disease 2019 (COVID-19) caused by SARS-CoV-2 Omicron variant infection in Tianjin of China from January 8 to February 7, 2022. According to the status of vaccination before diagnosis, they were divided into a booster vaccination (3 doses) group with 2 children, a complete vaccination (2 doses) group with 90 children, an incomplete vaccination (1 dose) group with 5 children, and a non-vaccination group with 13 children. The clinical data and IgG level were compared among the 4 groups. RESULTS The complete vaccination group had a significantly higher age than the non-vaccination group at diagnosis (P<0.05), and there was a significant difference in the route of transmission between the two groups (P<0.05). There were no significant differences among the four groups in sex, clinical classification, and re-positive rate of SARS-CoV-2 nucleic acid detection (P>0.05). All 97 children were vaccinated with inactivated vaccine, among whom 85 children (88%) were vaccinated with BBIBP-CorV Sinopharm vaccine (Beijing Institute of Biological Products, Beijing, China). At 1 month after diagnosis, the booster vaccination group and the complete vaccination group had a significantly higher level of SARS-CoV-2 IgG antibody than the non-vaccination group (P<0.05), and at 2 months after diagnosis, the complete vaccination group had a significantly higher level of SARS-CoV-2 IgG antibody than the non-vaccination group (P<0.05). For the complete vaccination group, the level of SARS-CoV-2 IgG antibody at 2 months after diagnosis was significantly lower than that at 1 month after diagnosis (P<0.05). CONCLUSIONS Vaccination with inactivated SARS-CoV-2 vaccine has a protective effect against Omicron infection in children. For children vaccinated with 2 doses of the vaccine who experience Omicron infection, there may be a slight reduction in the level of SARS-CoV-2 IgG antibody at 2 months after diagnosis. Citation:Chinese Journal of Contemporary Pediatrics, 2022, 24(7): 736-741.
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Affiliation(s)
- Ping-Ping Zhang
- Department of Pediatrics, Tianjin First Central Hospital, Tianjin 300190, China
| | - Yan-Ting Guo
- Department of Pediatrics, Tianjin First Central Hospital, Tianjin 300190, China
| | - Yu-Qin Chu
- Department of Pediatrics, Tianjin First Central Hospital, Tianjin 300190, China
| | - Q I Ji
- Department of Pediatrics, Tianjin First Central Hospital, Tianjin 300190, China
| | - Yan Lian
- Department of Pediatrics, Tianjin First Central Hospital, Tianjin 300190, China
| | - Wei Li
- Department of Pediatrics, Tianjin First Central Hospital, Tianjin 300190, China
| | - Li-Na Yao
- Department of Pediatrics, Tianjin First Central Hospital, Tianjin 300190, China
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