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Systematic review and meta-analysis finds bacterial co-infection in 17.3% of hospitalized influenza patients

Systematic review and meta-analysis finds bacterial co-infection in 17.3% of hospitalized influenza …
Photo by Toon Lambrechts / Unsplash
Key Takeaway
Consider that bacterial co-infection occurs in about 1 in 6 hospitalized influenza patients, with high antimicrobial use warranting stewardship.

This systematic review and meta-analysis pooled data from 111,889 hospital-attended patients with laboratory-confirmed influenza infection to estimate the prevalence of bacterial co-infection and characterize antimicrobial use. The primary outcome was the pooled prevalence of microbiologically confirmed bacterial co-infection, which was 17.3% (95%CI 13.6-21.7%), based on 9,899 cases. Secondary outcomes included antimicrobial prescribing, which was 88.1% (95%CI 76.0-94.5%).

Subgroup analyses revealed higher co-infection rates in ICU patients (28.3%) versus non-ICU patients (13.6%). Antimicrobial use was more common in adults (97.8%) than children (65.0%) and in ICU (96%) versus non-ICU (81%) settings. The most frequently identified bacterial pathogens were Streptococcus pneumoniae (35.7%) and Staphylococcus aureus (30.3%).

The authors note substantial heterogeneity and diagnostic variability across studies, which constrain interpretation of the pooled estimates. Certainty of evidence was assessed using GRADE, though specific ratings were not reported in the summary.

These findings support strengthened diagnostic capacity and antimicrobial stewardship to optimize management of suspected influenza-associated bacterial co-infection. Clinicians should interpret the high antimicrobial prescribing rates cautiously given the observational nature of the included studies and potential for confounding by indication.

Study Details

Sample sizen = 111,889
EvidenceLevel 5
PublishedApr 2026
View Original Abstract ↓
Background Bacterial co-infection contributes substantially to influenza-associated morbidity and mortality. Patterns of viral circulation, diagnostic testing and antimicrobial use changed markedly during the COVID-19 pandemic, yet contemporary estimates of bacterial co-infection and antimicrobial use in influenza have not been synthesised. Objectives To estimate the pooled prevalence of microbiologically confirmed bacterial co-infection among hospital-attended patients with laboratory-confirmed influenza. Secondary objectives were to characterise co-infecting bacterial pathogens, quantify antimicrobial prescribing overall and across key subgroups. This study was registered with PROSPERO (CRD420251072782). Data sources and eligibility We searched Embase (Ovid), MEDLINE, PubMed, Scopus, and Web of Science to 15th June 2025 for English-language studies including [≥]50 hospital-attended patients with laboratory-confirmed influenza and reporting bacterial co-infection. Methods Pooled prevalence estimates and antimicrobial prescription proportions were calculated using a generalised linear mixed model with logit link. Subgroup analyses included age group, clinical setting, and seasonal vs. pandemic influenza. Risk of bias was assessed using ROBINS-E and certainty of evidence using GRADE. Results Ninety-three studies from 30 countries, comprising 111,889 patients with influenza, met inclusion criteria; 9,899 had confirmed bacterial co-infection. The pooled prevalence was 17.3% (95%CI 13.6-21.7%; I2=99.2%). Prevalence was higher in ICU compared to non-ICU settings (28.3% vs. 13.6%). The most frequently identified bacterial pathogens were Streptococcus pneumoniae (35.7%) and Staphylococcus aureus (30.3%). Antimicrobial use, reported in 38 studies, was high (pooled prevalence 88.1%, 95%CI 76.0-94.5%; I2=99.9%), and was more common in adults than children (97.8% vs 65.0%), and in ICU compared with non-ICU settings (96% vs 81%). Conclusions Bacterial co-infection was identified in approximately one in six hospital-attended influenza cases, yet antimicrobial prescribing is near-universal. Substantial heterogeneity and diagnostic variability constraint interpretation but underscore persistent challenges in clinical decision-making. These findings support strengthened diagnostic capacity and antimicrobial stewardship to optimise management of suspected influenza-associated bacterial co-infection.
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