S3064 Elevated Risk of Developing Small Intestinal Bacterial Overgrowth Following Influenza Infection: A Nationwide Cohort Study

Introduction: The prevalence of small intestinal bacterial overgrowth (SIBO) following an influenza infection remains unclear, despite sporadic reports. This study aimed to evaluate the incidence of SIBO following influenza across the United States. Methods: This retrospective cohort study analyzed data from the TriNetX database, including adult inpatients (≥18 years) diagnosed with confirmed influenza between Jan 1, 2021, and May 1, 2024, to align with the global adoption of SIBO diagnostic coding starting in 2021 and to allow for up to 12 months of follow-up through May 1, 2025. Patients with prior SIBO or concurrent viral infections, including coronavirus disease 2019 (COVID-19), were excluded. Propensity score matching (1:1) was adjusted for demographic and SIBO risk factors. Kaplan-Meier survival analysis and univariate Cox proportional hazards models were used to assess the incidence of SIBO within 3, 6, and 12 months. Subgroup analyses were assessed by influenza type, sex, and race/ethnicity. Sensitivity analyses restricted cohorts to influenza diagnoses from January 2023 onward to address confounding by undiagnosed COVID-19. Results: The analysis included 2,094,587 influenza patients (type A: 1,381,865; type B: 189,190) and 4,993,447 matched controls. SIBO was diagnosed in 1,433 influenza patients (356 by hydrogen breath test [BT], 1,077 by diagnostic coding) and 1,747 controls (213 by BT, 1,534 by coding). Influenza patients demonstrated significantly higher odds of developing SIBO within 3 months (OR 1.86; 95% CI 1.23-2.80; P = 0.003), 6 months (OR 1.69; 95% CI 1.27-2.25; P < 0.001), and 12 months (OR 1.89; 95% CI 1.54-2.31; P < 0.001). Influenza type A showed the strongest association (12-month OR 2.01; 95% CI 1.58-2.56; P < 0.001). Subgroup analyses revealed significantly higher 12-month SIBO incidence among females (OR 2.05; 95% CI 1.62-2.60; P < 0.001) and White patients (OR 1.99; 95% CI 1.58-2.51; P < 0.001), with peak rates in patients aged ≥75 years (0.048%) and women (0.028%). No significant associations were observed in influenza type B, Black/African American, or Hispanic subgroups. Sensitivity analyses confirmed similar trends across all follow-up periods. Conclusion: This nationwide study identifies significantly increased SIBO risk following influenza, especially type A, with higher risks in females and white patients. Further research into underlying mechanisms and healthcare disparities is warranted.

Authors

Publication Details

Journal
The American Journal of Gastroenterology
Published
2025-10-01
DOI
https://doi.org/10.14309/01.ajg.0001139716.48116.dc
Primary Topic
Clostridium difficile and Clostridium perfringens research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

S3064 Elevated Risk of Developing Small Intestinal Bacterial Overgrowth Following Influenza Infection: A Nationwide Cohort Study

Rishi Chowdhary, Tao Bai, Gengqing Song, Kewin Tien Ho Siah et al.
The American Journal of Gastroenterology
Clostridium difficile and Clostridium perfringens research
article

S3064 Elevated Risk of Developing Small Intestinal Bacterial Overgrowth Following Influenza Infection: A Nationwide Cohort Study

Rishi Chowdhary, Tao Bai, Gengqing Song, Kewin Tien Ho Siah, Yilin Song, Thai Hau Koo, Lei Tu, Xue Bin Leong
article en

Abstract

Introduction: The prevalence of small intestinal bacterial overgrowth (SIBO) following an influenza infection remains unclear, despite sporadic reports. This study aimed to evaluate the incidence of SIBO following influenza across the United States. Methods: This retrospective cohort study analyzed data from the TriNetX database, including adult inpatients (≥18 years) diagnosed with confirmed influenza between Jan 1, 2021, and May 1, 2024, to align with the global adoption of SIBO diagnostic coding starting in 2021 and to allow for up to 12 months of follow-up through May 1, 2025. Patients with prior SIBO or concurrent viral infections, including coronavirus disease 2019 (COVID-19), were excluded. Propensity score matching (1:1) was adjusted for demographic and SIBO risk factors. Kaplan-Meier survival analysis and univariate Cox proportional hazards models were used to assess the incidence of SIBO within 3, 6, and 12 months. Subgroup analyses were assessed by influenza type, sex, and race/ethnicity. Sensitivity analyses restricted cohorts to influenza diagnoses from January 2023 onward to address confounding by undiagnosed COVID-19. Results: The analysis included 2,094,587 influenza patients (type A: 1,381,865; type B: 189,190) and 4,993,447 matched controls. SIBO was diagnosed in 1,433 influenza patients (356 by hydrogen breath test [BT], 1,077 by diagnostic coding) and 1,747 controls (213 by BT, 1,534 by coding). Influenza patients demonstrated significantly higher odds of developing SIBO within 3 months (OR 1.86; 95% CI 1.23-2.80; P = 0.003), 6 months (OR 1.69; 95% CI 1.27-2.25; P < 0.001), and 12 months (OR 1.89; 95% CI 1.54-2.31; P < 0.001). Influenza type A showed the strongest association (12-month OR 2.01; 95% CI 1.58-2.56; P < 0.001). Subgroup analyses revealed significantly higher 12-month SIBO incidence among females (OR 2.05; 95% CI 1.62-2.60; P < 0.001) and White patients (OR 1.99; 95% CI 1.58-2.51; P < 0.001), with peak rates in patients aged ≥75 years (0.048%) and women (0.028%). No significant associations were observed in influenza type B, Black/African American, or Hispanic subgroups. Sensitivity analyses confirmed similar trends across all follow-up periods. Conclusion: This nationwide study identifies significantly increased SIBO risk following influenza, especially type A, with higher risks in females and white patients. Further research into underlying mechanisms and healthcare disparities is warranted.

The American Journal of GastroenterologyVol. 120(10S2)
Openalex Percentile: Top 54%
Clostridium difficile and Clostridium perfringens research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.