Effectiveness of various COVID-19 vaccine regimens among 10.4 million patients from the National COVID Cohort Collaborative during Pre-Delta to Omicron periods - United States, 11 December 2020 to 30 June 2022.


Journal

Vaccine
ISSN: 1873-2518
Titre abrégé: Vaccine
Pays: Netherlands
ID NLM: 8406899

Informations de publication

Date de publication:
06 10 2023
Historique:
received: 03 07 2023
revised: 17 08 2023
accepted: 25 08 2023
medline: 3 10 2023
pubmed: 24 9 2023
entrez: 23 9 2023
Statut: ppublish

Résumé

This study reports the vaccine effectiveness (VE) of COVID-19 vaccine regimens in the United States, based on the National COVID Cohort Collaborative (N3C) database. Data from 10.4 million adults, enrolled in the N3C from 11 December 2020 to 30 June 2022, were analyzed. VE against infection and death outcomes were evaluated across 13 vaccine regimens in recipient cohorts during the Pre-Delta, Delta, and Omicron periods. VE was estimated as (1-odds ratio) × 100% by multivariate logistic regression, using the unvaccinated cohort as reference. Natural immunity showed a highly protective effect (70.33%) against re-infection, but the mortality risk among the unvaccinated population was increased after re-infection; vaccination following infection reduced the risk of re-infection and death. mRNA-1273 full vaccination plus mRNA-1273 booster showed the highest anti-infection effectiveness (47.59%) (95% CI, 46.72-48.45) in the overall cohort. In the type 2 diabetes cohort, VE against infection was highest with BNT162b2 full vaccination plus mRNA-1273 booster (61.19%) (95% CI, 53.73-67.75). VE against death was also highest with BNT162b2 full vaccination plus mRNA-1273 booster (89.56%) (95% CI, 85.75-92.61). During the Pre-Delta period, all vaccination regimens showed an anti-infection effect; during the Delta period, only boosters, mixed vaccines, and Ad26.COV2.S vaccination exhibited an anti-infection effect; during the Omicron period, none of the vaccine regimens demonstrated an anti-infection effect. Irrespective of the variant period, even a single dose of mRNA vaccine offered protection against death, thus demonstrating survival benefit, even in the presence of infection or re-infection. Similar patterns were observed in patients with type 2 diabetes. Although the anti-infection effect declined as SARS-CoV-2 variants evolved, all COVID-19 mRNA vaccines had sustained effectiveness against death. Vaccination was crucial for preventing re-infection and reducing the risk of death following SARS-CoV-2 infection.

Identifiants

pubmed: 37741761
pii: S0264-410X(23)01025-3
doi: 10.1016/j.vaccine.2023.08.069
pii:
doi:

Substances chimiques

COVID-19 Vaccines 0
BNT162 Vaccine 0
2019-nCoV Vaccine mRNA-1273 EPK39PL4R4
Ad26COVS1 JT2NS6183B

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

6339-6349

Subventions

Organisme : NCATS NIH HHS
ID : UL1 TR001998
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR003098
Pays : United States
Organisme : NIGMS NIH HHS
ID : P20 GM103466
Pays : United States
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ID : P20 GM139753
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002736
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ID : UL1 TR002556
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ID : UL1 TR001878
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ID : UL1 TR002369
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ID : UL1 TR001433
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ID : UL1 TR002537
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ID : UL1 TR002014
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ID : UL1 TR001425
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ID : UL1 TR002544
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Organisme : NIGMS NIH HHS
ID : U54 GM115516
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Organisme : NCATS NIH HHS
ID : UL1 TR001453
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ID : UL1 TR002003
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ID : UL1 TR001876
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ID : UL1 TR001436
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ID : UL1 TR001430
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ID : U54 GM115677
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ID : UL1 TR003107
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ID : UL1 TR001414
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Organisme : NIGMS NIH HHS
ID : U54 GM104940
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Organisme : NCATS NIH HHS
ID : UL1 TR002378
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ID : UL1 TR001442
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ID : UL1 TR002001
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ID : U54 GM115371
Pays : United States
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ID : UL1 TR001420
Pays : United States
Organisme : NIGMS NIH HHS
ID : P30 GM114737
Pays : United States
Organisme : NIMHD NIH HHS
ID : U54 MD007601
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR003017
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002366
Pays : United States
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ID : UL1 TR002377
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ID : UL1 TR001422
Pays : United States
Organisme : NIGMS NIH HHS
ID : U54 GM115458
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002733
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ID : UL1 TR002550
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ID : UL1 TR001439
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ID : UL1 TR001860
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ID : U24 TR002306
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ID : UL1 TR003096
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ID : UL1 TR002529
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001855
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002319
Pays : United States
Organisme : NIGMS NIH HHS
ID : U54 GM104941
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002389
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001872
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001873
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Organisme : NCATS NIH HHS
ID : UL1 TR002240
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Organisme : NCATS NIH HHS
ID : UL1 TR002489
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ID : UL1 TR001445
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ID : UL1 TR003142
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ID : UL1 TR001412
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ID : UL1 TR002373
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ID : UL1 TR002535
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ID : UL1 TR001449
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Organisme : NCATS NIH HHS
ID : UL1 TR001866
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002384
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001409
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR003015
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001450
Pays : United States
Organisme : NIGMS NIH HHS
ID : U54 GM104942
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR001427
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR003167
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002243
Pays : United States

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest All the authors declare no competing interest, except LW provided consulting service to Pupil Bio Inc. and received honorarium.

Auteurs

Yuanyuan Fu (Y)

Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, HI, USA.

Kaipeng Wu (K)

Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, HI, USA.

Zhanwei Wang (Z)

Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA.

Hua Yang (H)

Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, HI, USA.

Yu Chen (Y)

Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, HI, USA.

Lang Wu (L)

Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, USA.

Richard Yanagihara (R)

Department of Pediatrics, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, HI, USA.

Jerris R Hedges (JR)

Departments of Medicine and Surgery, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, HI 96813, USA.

Hongwei Wang (H)

Department of Medicine, University of Chicago, Chicago, IL, 60637, USA. Electronic address: hongwei-wang@boneandcancer.org.

Youping Deng (Y)

Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, HI, USA. Electronic address: dengy@hawaii.edu.

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Classifications MeSH