Effectiveness of SARS-CoV-2 mRNA Vaccines for Preventing Covid-19 Hospitalizations in the United States

ABSTRACT Background As SARS-CoV-2 vaccination coverage increases in the United States (US), there is a need to understand the real-world effectiveness against severe Covid-19 and among people at increased risk for poor outcomes.Methods In a multicenter case-control analysis of US adults hospitalized March 11 - May 5, 2021, we evaluated vaccine effectiveness to prevent Covid-19 hospitalizations by comparing odds of prior vaccination with an mRNA vaccine (Pfizer-BioNTech or Moderna) between cases hospitalized with Covid-19 and hospital-based controls who tested negative for SARS-CoV-2.Results Among 1210 participants, median age was 58 years, 22.8% were Black, 13.8% were Hispanic, and 20.6% had immunosuppression. SARS-CoV-2 lineage B.1.1.7 was most common variant (59.7% of sequenced viruses). Full vaccination (receipt of two vaccine doses ≥14 days before illness onset) had been received by 45/590 (7.6%) cases and 215/620 (34.7%) controls. Overall vaccine effectiveness was 86.9% (95% CI: 80.4 to 91.2%). Vaccine effectiveness was similar for Pfizer-BioNTech and Moderna vaccines, and highest in adults aged 18-49 years (97.3%; 95% CI: 78.9 to 99.7%). Among 45 patients with vaccine-breakthrough Covid hospitalizations, 44 (97.8%) were ≥50 years old and 20 (44.4%) had immunosuppression. Vaccine effectiveness was lower among patients with immunosuppression (59.2%; 95% CI: 11.9 to 81.1%) than without immunosuppression (91.3%; 95% CI: 85.5 to 94.7%).Conclusion During March–May 2021, SARS-CoV-2 mRNA vaccines were highly effective for preventing Covid-19 hospitalizations among US adults. SARS-CoV-2 vaccination was beneficial for patients with immunosuppression, but effectiveness was lower in the immunosuppressed population..

Medienart:

Preprint

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

bioRxiv.org - (2023) vom: 05. Nov. Zur Gesamtaufnahme - year:2023

Sprache:

Englisch

Beteiligte Personen:

Tenforde, Mark W. [VerfasserIn]
Patel, Manish M. [VerfasserIn]
Ginde, Adit A. [VerfasserIn]
Douin, David J. [VerfasserIn]
Talbot, H. Keipp [VerfasserIn]
Casey, Jonathan D. [VerfasserIn]
Mohr, Nicholas M. [VerfasserIn]
Zepeski, Anne [VerfasserIn]
Gaglani, Manjusha [VerfasserIn]
McNeal, Tresa [VerfasserIn]
Ghamande, Shekhar [VerfasserIn]
Shapiro, Nathan I. [VerfasserIn]
Gibbs, Kevin W. [VerfasserIn]
Files, D. Clark [VerfasserIn]
Hager, David N. [VerfasserIn]
Shehu, Arber [VerfasserIn]
Prekker, Matthew E. [VerfasserIn]
Erickson, Heidi L. [VerfasserIn]
Exline, Matthew C. [VerfasserIn]
Gong, Michelle N. [VerfasserIn]
Mohamed, Amira [VerfasserIn]
Henning, Daniel J. [VerfasserIn]
Steingrub, Jay S. [VerfasserIn]
Peltan, Ithan D. [VerfasserIn]
Brown, Samuel M. [VerfasserIn]
Martin, Emily T. [VerfasserIn]
Monto, Arnold S. [VerfasserIn]
Khan, Akram [VerfasserIn]
Hough, C. Terri [VerfasserIn]
Busse, Laurence [VerfasserIn]
ten Lohuis, Caitlin C. [VerfasserIn]
Duggal, Abhijit [VerfasserIn]
Wilson, Jennifer G. [VerfasserIn]
Gordon, Alexandra June [VerfasserIn]
Qadir, Nida [VerfasserIn]
Chang, Steven Y. [VerfasserIn]
Mallow, Christopher [VerfasserIn]
Gershengorn, Hayley B. [VerfasserIn]
Babcock, Hilary M. [VerfasserIn]
Kwon, Jennie H. [VerfasserIn]
Halasa, Natasha [VerfasserIn]
Chappell, James D. [VerfasserIn]
Lauring, Adam S. [VerfasserIn]
Grijalva, Carlos G. [VerfasserIn]
Rice, Todd W. [VerfasserIn]
Jones, Ian D. [VerfasserIn]
Stubblefield, William B. [VerfasserIn]
Baughman, Adrienne [VerfasserIn]
Womack, Kelsey N. [VerfasserIn]
Lindsell, Christopher J. [VerfasserIn]
Hart, Kimberly W. [VerfasserIn]
Zhu, Yuwei [VerfasserIn]
Olson, Samantha M. [VerfasserIn]
Stephenson, Meagan [VerfasserIn]
Schrag, Stephanie J. [VerfasserIn]
Kobayashi, Miwako [VerfasserIn]
Verani, Jennifer R. [VerfasserIn]
Self, Wesley H. [VerfasserIn]

Links:

Volltext [kostenfrei]

Themen:

570
Biology

doi:

10.1101/2021.07.08.21259776

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

XBI032166044