Back to research feed

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America

September 26, 2026 · via Europe PMC

Influenza vaccine effectiveness against influenza A-associated hospitalization and severe in-hospital outcomes among adults in the United States, 2024-2025.

Lewis NM, Cleary S, Harker EJ, +29 more, Investigating Viruses in the Acutely Ill (IVY) Network.

Journal ArticleAbstract only — full text under license

AI summary — for doctors, generated from the abstract only

The 2024-2025 US influenza vaccine was about 40% effective against influenza A hospitalization and reduced severe in-hospital outcomes including ICU admission and death.

What was studied

A test-negative study within a multistate respiratory virus surveillance network enrolling adults hospitalized with acute respiratory illness at 26 US medical centers from October 2024 to April 2025, estimating vaccine effectiveness with multivariable logistic regression.

Key findings

  • Vaccine effectiveness against influenza-associated hospitalization was 40% (95% CI 32%-47%), consistent across age groups and influenza A subtypes
  • Against standard oxygen therapy: 41% (31%-50%)
  • Against non-invasive advanced respiratory support: 38% (19%-52%)
  • Against invasive organ support: 58% (44%-69%)
  • Against ICU admission: 58% (47%-67%) and against death: 52% (18%-71%)

Clinical relevance

The findings support influenza vaccination for reducing severe outcomes in adults even in a season with antigenically drifted A(H3N2) viruses, with the usual caveats of observational test-negative design.

Who should care

Infectious Disease

Limitations

Observational test-negative design subject to residual confounding and misclassification of vaccination status, with wide confidence intervals for the mortality estimate.

Vaccination clearly cut the odds of ending up in intensive care or dying from influenza this season.

This is an AI-generated summary of the published abstract, not a clinical recommendation. It may not reflect the full text or subsequent updates — verify against the original source before acting on it.

Abstract

Background

The U.S. 2024-2025 influenza season was characterized by sustained elevated activity from November 2024-April 2025, with circulation of both influenza A(H1N1)pdm09 and A(H3N2), the latter of which included some antigenically drifted viruses.

Methods

From October 1, 2024, to April 30, 2025, a multistate respiratory virus surveillance network enrolled adults hospitalized with acute respiratory illness in 26 U.S. medical centers. Influenza vaccine effectiveness (VE) against influenza-associated hospitalization and severe in-hospital outcomes was estimated using a test-negative study. The odds of influenza vaccination among influenza-positive case patients and influenza-negative control patients were compared using multivariable logistic regression; VE was calculated as (1 - adjusted odds ratio for vaccination) × 100, expressed as a percent.

Results

The 2024-2025 seasonal influenza vaccine was effective against influenza-associated hospitalization (VE: 40% [95% confidence interval (CI): 32%-47%]), consistent across age group and influenza type/A subtype. Influenza vaccination also reduced the overall risk of all severe in-hospital outcomes evaluated, including standard oxygen therapy (VE: 41% [95% CI: 31%-50%]), non-invasive advanced respiratory support (VE: 38% [95% CI: 19%-52%]), invasive organ support (VE: 58% [95% CI: 44%-69%]), ICU admission (VE: 58% [95% CI: 47%-67%]), and death (VE: 52% [95% CI: 18%-71%]) with effectiveness varying by influenza A subtype and age.

Conclusions

Influenza vaccination reduced the risk of influenza-related hospitalization and severe in-hospital outcomes in adults during the severe 2024-2025 influenza season compared with those not vaccinated.

DOI

10.1093/cid/ciag540

PMID

42790883

Research metadata (titles, abstracts, authors, publication dates) is sourced from Europe PMC, which aggregates content from PubMed/MEDLINE, PubMed Central, and other providers under the U.S. National Library of Medicine (NLM/NCBI). NLM does not claim copyright on abstracts; the original journal publishers or authors may hold rights to the full articles. AI-generated summaries are derived only from the abstract, never the full text, and are always labeled as AI-generated.

Want more like this?

Browse more from the feed. A free account unlocks the full feed, saving and communities.

Back to the research feed

Create a free account · Sign in