Risk factors for postpartum urinary retention: An updated systematic review and meta‐analysis.

Background Objectives Search Strategy Selection Criteria Data Collection and Analysis Main Results Conclusion There are conflicting reports on the factors that increase the likelihood of postpartum urinary retention (PUR).We completed an updated systematic review and meta‐analysis to identify the risk factors for PUR.An exhaustive search of the literature was undertaken using multiple databases, including PubMed, Web of Science, the Cochrane Library, and Embase to identify pertinent studies published up until November 4, 2023.Observational studies that provided outcomes to calculate the risk factors for PUR were included.Two investigators separately performed the extraction of pertinent data from the articles. The risk factors for PUR were identified by pooling adjusted and unadjusted odds ratios (ORs) and 95% confidence intervals (CIs). Heterogeneity test, sensitivity analysis, and publication bias assessment were performed.This meta‐analysis included 21 studies with a total of 36 951 participants. Meta‐analysis was performed for 14 risk factors, and eight of these were statistically significant. The risk factors that were identified in this review included instrumental delivery (OR, 2.96 [95% CI, 1.82–4.80]; 95% prediction interval [PI], 0.67–12.98), relatively long duration of labor (OR, 1.04 [95% CI, 1.02–1.06]; 95% PI, 1.00–1.08), episiotomy (OR, 1.56 [95% CI, 1.19–2.06] 95% PI, 0.64–3.83), nulliparity (OR, 1.55 [95% CI, 1.30–1.84]; 95% PI, 0.94–2.77), epidural analgesia (OR, 2.99 [95% CI, 1.78–5.03]; 95% PI, 0.53–16.76), labor augmentation (OR, 2.21 [95% CI, 1.49–3.28]; 95% PI, 0.12–39.26), labor induction (OR, 1.73 [95% CI, 1.12–2.66]; 95% PI, 0.40–7.39), and perineal injury (OR, 2.75 [95% CI, 1.95–3.89]; 95% PI, 1.10–6.92).Instrumental delivery, extended labor duration, episiotomy, nulliparity, epidural analgesia, labor augmentation/induction, and perineal injury are significant risk factors for PUR. The findings could help physicians identify patients at risk in the postpartum setting. [ABSTRACT FROM AUTHOR]