Severe outcomes of individual or multiple respiratory viral infections in a large national healthcare system, 2022–2023
Year: 2026
Type: article
Study design: Observational Study
Abstract: Background: Routine testing for SARS-CoV-2, influenza, and respiratory syncytial virus (RSV) was deployed in a large US healthcare system in 2022-2023. This policy allowed identification of a large cohort of co-infected patients and comparison of outcomes without confounding by testing indication. Methods: < 90% or supplementary oxygen >2 L/min) or death, separately, expressed as adjusted odds ratios (aOR) with 95% confidence intervals (CI). Findings: Among 835,987 triple-tested patients, 170,592 (20.4%) tested positive for SARS-CoV-2 alone, 30,454 (3.6%) influenza alone, 13,207 (1.6%) RSV alone, and 1,300 (0.2%) multiple viruses. Frequencies of hypoxemia and death were 8.0 and 1.9% with SARS-CoV-2, 7.7 and 0.8% with influenza, 9.3 and 1.1% with RSV, 8.7 and 1.5% with multiple viruses, and 8.9 and 2.0% with all-negative tests. After adjustment for age and immune-suppressive drugs, odds of hypoxemia were slightly higher with influenza (aOR = 1.12, CI 1.06-1.17), lower with RSV (aOR = 0.91, CI 0.85-0.97), and not significantly different with multiple viruses (aOR = 1.09, CI 0.89-1.34), relative to SARS-CoV-2 alone. Odds of death were lower with influenza (aOR = 0.52, CI 0.46-0.60) or RSV (aOR = 0.51, CI 0.43-0.60) and no different with multiple infections (aOR = 0.86, CI 0.54-1.36), relative to SARS-CoV-2 alone. Interpretation: Co-infection was rare (0.2% of tested cases), with incidences of hypoxemia and death similar to SARS-CoV-2 alone. Death was less frequent with influenza or RSV than SARS-CoV-2.
Source: Frontiers in Public Health
Institutions: VA Boston Healthcare System, VA North Texas Health Care System, The University of Texas Southwestern Medical Center, Harvard University, Boston University, University of California, Los Angeles, Center for the Study of Healthcare Provider Behavior, VA Greater Los Angeles Healthcare System
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,801
OpenAlex ID: W7155176949
