Effectiveness of CoronaVac, ChAdOx1 nCoV-19, BNT162b2, and Ad26.COV2.S among individuals with previous SARS-CoV-2 infection in Brazil: a test-negative, case-control study.


Journal

The Lancet. Infectious diseases
ISSN: 1474-4457
Titre abrégé: Lancet Infect Dis
Pays: United States
ID NLM: 101130150

Informations de publication

Date de publication:
06 2022
Historique:
received: 21 12 2021
revised: 15 02 2022
accepted: 15 02 2022
pubmed: 4 4 2022
medline: 7 6 2022
entrez: 3 4 2022
Statut: ppublish

Résumé

COVID-19 vaccines have proven highly effective among individuals without a previous SARS-CoV-2 infection, but their effectiveness in preventing symptomatic infection and severe outcomes among individuals with previous infection is less clear. We aimed to estimate the effectiveness of four COVID-19 vaccines against symptomatic infection, hospitalisation, and death for individuals with laboratory-confirmed previous SARS-CoV-2 infection. Using national COVID-19 notification, hospitalisation, and vaccination datasets from Brazil, we did a test-negative, case-control study to assess the effectiveness of four vaccines (CoronaVac [Sinovac], ChAdOx1 nCoV-19 [AstraZeneca], Ad26.COV2.S [Janssen], and BNT162b2 [Pfizer-BioNtech]) for individuals with laboratory-confirmed previous SARS-CoV-2 infection. We matched cases with RT-PCR positive, symptomatic COVID-19 with up to ten controls with negative RT-PCR tests who presented with symptomatic illnesses, restricting both groups to tests done at least 90 days after an initial infection. We used multivariable conditional logistic regression to compare the odds of test positivity and the odds of hospitalisation or death due to COVID-19, according to vaccination status and time since first or second dose of vaccines. Between Feb 24, 2020, and Nov 11, 2021, we identified 213 457 individuals who had a subsequent, symptomatic illness with RT-PCR testing done at least 90 days after their initial SARS-CoV-2 infection and after the vaccination programme started. Among these, 30 910 (14·5%) had a positive RT-PCR test consistent with reinfection, and we matched 22 566 of these cases with 145 055 negative RT-PCR tests from 68 426 individuals as controls. Among individuals with previous SARS-CoV-2 infection, vaccine effectiveness against symptomatic infection 14 or more days from vaccine series completion was 39·4% (95% CI 36·1-42·6) for CoronaVac, 56·0% (51·4-60·2) for ChAdOx1 nCoV-19, 44·0% (31·5-54·2) for Ad26.COV2.S, and 64·8% (54·9-72·4) for BNT162b2. For the two-dose vaccine series (CoronaVac, ChAdOx1 nCoV-19, and BNT162b2), effectiveness against symptomatic infection was significantly greater after the second dose than after the first dose. Effectiveness against hospitalisation or death 14 or more days from vaccine series completion was 81·3% (75·3-85·8) for CoronaVac, 89·9% (83·5-93·8) for ChAdOx1 nCoV-19, 57·7% (-2·6 to 82·5) for Ad26.COV2.S, and 89·7% (54·3-97·7) for BNT162b2. All four vaccines conferred additional protection against symptomatic infections and severe outcomes among individuals with previous SARS-CoV-2 infection. The provision of a full vaccine series to individuals after recovery from COVID-19 might reduce morbidity and mortality. Brazilian National Research Council, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Oswaldo Cruz Foundation, JBS, Instituto de Salud Carlos III, Spanish Ministry of Science and Innovation, and Generalitat de Catalunya.

Sections du résumé

BACKGROUND
COVID-19 vaccines have proven highly effective among individuals without a previous SARS-CoV-2 infection, but their effectiveness in preventing symptomatic infection and severe outcomes among individuals with previous infection is less clear. We aimed to estimate the effectiveness of four COVID-19 vaccines against symptomatic infection, hospitalisation, and death for individuals with laboratory-confirmed previous SARS-CoV-2 infection.
METHODS
Using national COVID-19 notification, hospitalisation, and vaccination datasets from Brazil, we did a test-negative, case-control study to assess the effectiveness of four vaccines (CoronaVac [Sinovac], ChAdOx1 nCoV-19 [AstraZeneca], Ad26.COV2.S [Janssen], and BNT162b2 [Pfizer-BioNtech]) for individuals with laboratory-confirmed previous SARS-CoV-2 infection. We matched cases with RT-PCR positive, symptomatic COVID-19 with up to ten controls with negative RT-PCR tests who presented with symptomatic illnesses, restricting both groups to tests done at least 90 days after an initial infection. We used multivariable conditional logistic regression to compare the odds of test positivity and the odds of hospitalisation or death due to COVID-19, according to vaccination status and time since first or second dose of vaccines.
FINDINGS
Between Feb 24, 2020, and Nov 11, 2021, we identified 213 457 individuals who had a subsequent, symptomatic illness with RT-PCR testing done at least 90 days after their initial SARS-CoV-2 infection and after the vaccination programme started. Among these, 30 910 (14·5%) had a positive RT-PCR test consistent with reinfection, and we matched 22 566 of these cases with 145 055 negative RT-PCR tests from 68 426 individuals as controls. Among individuals with previous SARS-CoV-2 infection, vaccine effectiveness against symptomatic infection 14 or more days from vaccine series completion was 39·4% (95% CI 36·1-42·6) for CoronaVac, 56·0% (51·4-60·2) for ChAdOx1 nCoV-19, 44·0% (31·5-54·2) for Ad26.COV2.S, and 64·8% (54·9-72·4) for BNT162b2. For the two-dose vaccine series (CoronaVac, ChAdOx1 nCoV-19, and BNT162b2), effectiveness against symptomatic infection was significantly greater after the second dose than after the first dose. Effectiveness against hospitalisation or death 14 or more days from vaccine series completion was 81·3% (75·3-85·8) for CoronaVac, 89·9% (83·5-93·8) for ChAdOx1 nCoV-19, 57·7% (-2·6 to 82·5) for Ad26.COV2.S, and 89·7% (54·3-97·7) for BNT162b2.
INTERPRETATION
All four vaccines conferred additional protection against symptomatic infections and severe outcomes among individuals with previous SARS-CoV-2 infection. The provision of a full vaccine series to individuals after recovery from COVID-19 might reduce morbidity and mortality.
FUNDING
Brazilian National Research Council, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Oswaldo Cruz Foundation, JBS, Instituto de Salud Carlos III, Spanish Ministry of Science and Innovation, and Generalitat de Catalunya.

Identifiants

pubmed: 35366959
pii: S1473-3099(22)00140-2
doi: 10.1016/S1473-3099(22)00140-2
pmc: PMC8971277
pii:
doi:

Substances chimiques

Ad26COVS1 JT2NS6183B
COVID-19 Vaccines 0
ChAdOx1 nCoV-19 B5S3K2V0G8
BNT162 Vaccine N38TVC63NU

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

791-801

Subventions

Organisme : NCATS NIH HHS
ID : UL1 TR001863
Pays : United States

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2022 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests MB-N reports grants from the Fazer o Bem Faz Bem programme from JBS. AIK reports grants from Bristol Myers Squibb, Regeneron, and Serimmune; and grants and personal fees from Tata Medical Devices, outside the submitted work. VdAO, VSB, MLB, JC, and MB-N are employees of Fiocruz, a federal public institution, which manufactures Vaxzevria (ChAdOx1 nCoV-19 vaccine) in Brazil through a full technology transfer agreement with AstraZeneca. Fiocruz allocates all its manufactured products to the Ministry of Health for public health use. All other authors declare no competing interests.

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Auteurs

Thiago Cerqueira-Silva (T)

Instituto Gonçalo Moniz, Fiocruz, Salvador, BA, Brazil; Faculdade de Medicina, Universidade Federal da Bahia, Salvador, BA, Brazil.

Jason R Andrews (JR)

Division of Infectious Diseases and Geographic Medicine, Stanford University, Stanford, CA, USA.

Viviane S Boaventura (VS)

Instituto Gonçalo Moniz, Fiocruz, Salvador, BA, Brazil; Faculdade de Medicina, Universidade Federal da Bahia, Salvador, BA, Brazil.

Otavio T Ranzani (OT)

Barcelona Institute for Global Health, Barcelona, Spain; Pulmonary Division, Heart Institute, Hospital das Clínicas, Faculdade de Medicina, São Paulo, SP, Brazil.

Vinicius de Araújo Oliveira (V)

Instituto Gonçalo Moniz, Fiocruz, Salvador, BA, Brazil; Center for Data and Knowledge Integration for Health, Fiocruz, Salvador, BA, Brazil; Faculdade de Medicina, Universidade Federal da Bahia, Salvador, BA, Brazil.

Enny S Paixão (ES)

Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.

Juracy Bertoldo Júnior (JB)

Center for Data and Knowledge Integration for Health, Fiocruz, Salvador, BA, Brazil; Instituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, BA, Brazil.

Tales Mota Machado (TM)

Diretoria de Tecnologia da Informação, Universidade Federal de Ouro Preto, Ouro Preto, MG, Brazil.

Matt D T Hitchings (MDT)

Department of Biostatistics, College of Public Health & Health Professions, University of Florida, Gainesville, FL, USA.

Murilo Dorion (M)

Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.

Margaret L Lind (ML)

Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.

Gerson O Penna (GO)

Núcleo de Medicina Tropical, Universidade de Brasília, Brasília, DF, Brazil; Escola Fiocruz de Governo, Fiocruz Brasília, Brasília, DF, Brazil.

Derek A T Cummings (DAT)

Department of Biology, University of Florida, Gainesville, FL, USA; Emerging Pathogens Institute, University of Florida, Gainesville, FL, USA.

Natalie E Dean (NE)

Department of Biostatistics & Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, USA.

Guilherme Loureiro Werneck (GL)

Departamento de Epidemiologia, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.

Neil Pearce (N)

Department of Medical Statistics, London School of Hygiene & Tropical Medicine, London, UK.

Mauricio L Barreto (ML)

Center for Data and Knowledge Integration for Health, Fiocruz, Salvador, BA, Brazil; Instituto de Saúde Coletiva, Universidade Federal da Bahia, Salvador, BA, Brazil.

Albert I Ko (AI)

Instituto Gonçalo Moniz, Fiocruz, Salvador, BA, Brazil; Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.

Julio Croda (J)

Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA; Universidade Federal de Mato Grosso do Sul, Campo Grande, MS, Brazil; Fiocruz Mato Grosso do Sul, Fiocruz, Campo Grande, MS, Brazil. Electronic address: julio.croda@fiocruz.br.

Manoel Barral-Netto (M)

Instituto Gonçalo Moniz, Fiocruz, Salvador, BA, Brazil; Center for Data and Knowledge Integration for Health, Fiocruz, Salvador, BA, Brazil; Faculdade de Medicina, Universidade Federal da Bahia, Salvador, BA, Brazil.

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