Related Experiment Video
Updated: Mar 18, 2026

Real-Time Void Spot Assay
Published on: February 10, 2023
Urinary Incontinence as a Predictor of Death: A Systematic Review and Meta-Analysis
Gregor John1, Claire Bardini2, Christophe Combescure3
1Department of Internal medicine, Hôpital neuchâtelois, Chasseral 20, 2300, La Chaux-de-Fonds, Switzerland, Department of Internal Medicine, Rehabilitation and Geriatrics, Geneva University Hospitals (HUG), Gabrielle-Perret-Gentil 4, CH-1205, Geneva, Switzerland.
Background:
The association between urinary incontinence (UI) and increased mortality remains controversial. The objective of our study was to evaluate if this association exists.
Methods:
We performed a systematic review and meta-analysis of observational studies comparing death rates among patients suffering from UI to those without incontinence. We searched in Medline, Embase and the Cochrane library using specific keywords. Studies exploring the post-stroke period were excluded. Hazard ratios (HR) were pooled using models with random effects. We stratified UI by gender and by UI severity and pooled all models with adjustment for confounding variables.
Results:
Thirty-eight studies were retrieved. When compared to non-urinary incontinent participants, UI was associated with an increase in mortality with pooled non adjusted HR of 2.22 (95%CI 1.77-2.78). The risk increased with UI severity: 1.24 (95%CI: 0.79-1.97) for light, 1.71 (95%CI: 1.26-2.31) for moderate, and 2.72 (95%CI: 1.90-3.87) for severe UI respectively. When pooling adjusted measures of association, the resulting HR was 1.27 (95%CI: 1.13-1.42) and increased progressively for light, moderate and severe UI: 1.07 (95%CI: 0.79-1.44), 1.25 (95%CI: 0.99-1.58), and 1.47 (95%CI: 1.03-2.10) respectively. There was no difference between genders.
Conclusion:
UI is a predictor of higher mortality in the general and particularly in the geriatric population. The association increases with the severity of UI and persists when pooling models adjusted for confounders. It is unclear if this association is causative or just reflects an impaired general health condition. As in most meta-analyses of observational studies, methodological issues should be considered when interpreting results.
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