Affiliation:
1. Department of Obstetrics and Gynecology, West China Second University Hospital Sichuan University Chengdu Sichuan People's Republic of China
2. Laboratory of the Key Perinatal Diseases West China Second University Hospital, Sichuan University Chengdu Sichuan People's Republic of China
Abstract
AbstractSurgical site infection (SSI) is one of the common postoperative complications after caesarean section for pregnant women. Previous studies have investigated the risk factors for SSI in pregnant women undergoing caesarean delivery. Whereas big differences in research results exist, and the correlation coefficients of different research results are quite different. A meta‐analysis was conducted to examine the risk factors related to SSI in pregnant women undergoing caesarean delivery. We searched English databases to collect case–control studies or cohort studies published between 1 January 2015 and 15 November 2023, including PubMed, Web of Science and ScienceDirect. The risk of bias of the included studies was assessed via Newcastle‐Ottawa Scale. The analysis was performed using RevMan 5.4.1 tool. A total of 24 articles (n = 581, 895) were selected in this meta‐analysis. The following risk factors were presented to be significantly correlated with SSI in pregnant women following caesarean delivery: smoking (odds ratio [OR] = 1.64, 95% confidence interval [CI] [1.31, 2.04]), previous caesarean section (OR = 1.46, 95% CI [1.18, 1.82]), multiple vaginal examinations (OR = 2.92, 95% CI [1.91, 4.46]), membrane rupture (OR = 1.68, 95% CI [1.19, 2.38]), hypertensive disorders (OR = 1.85, 95% CI [1.33, 2.57]), diabetes mellitus (OR = 1.36, 95% CI [1.18, 1.57]), high body mass index (OR = 1.57, 95% CI [1.35, 1.84]). Occurrence of SSI is influenced by a variety of factors. Thus, we should pay close attention to high‐risk subjects and take crucial targeted interventions to lower the SSI risk after caesarean section. Owing to the limited quality and quantity of the included studies, more rigorous studies with adequate sample sizes are needed to verify the conclusion.