Prevalence of surgical site infection and risk factors in patients after foot and ankle surgery: A systematic review and meta‐analysis

Abstract

AbstractThe present systematic review and meta‐analysis aimed to determine the prevalence of surgical site infection (SSI) and related factors in patients after foot and ankle surgery. A comprehensive, systematic search was conducted in different international electronic databases, such as Scopus, PubMed, Web of Science and Persian electronic databases such as Iranmedex and Scientific Information Database (SID) using keywords extracted from Medical Subject Headings such as ‘Prevalence’, ‘Surgical wound infection’, ‘Surgical site infection’ and ‘Orthopaedics’ from the earliest to 1 June 2023. The appraisal tool for cross‐sectional studies (AXIS tool) evaluates the quality of the included studies. A total of 10 447 patients undergoing foot and ankle surgery participated in nine studies. The pooled prevalence of SSI in patients who underwent foot and ankle surgery was reported in nine studies was 4.2% (95% CI: 2.4%–7.2%; I2 = 96.793%; p < 0.001). The odds ratio of SSI prevalence in men was higher than that of women and was significant (OR: 1.335; 95% CI: 1.106–1.612; Z = 3.009; p = 0.003). The pooled prevalence of SSI in patients with hindfoot fracture sites reported in five studies was 4.9% (95% CI: 2.6%–8.9%; I2 = 90.768%; p < 0.001). The pooled prevalence of SSI in patients with diabetes mellitus (DM) reported in six studies was 9.1% (95% CI: 5.6%–14.6%; I2 = 73.957%; p = 0.002). The pooled prevalence of SSI in patients with hypertension (HTN) reported in five studies was 5.5% (95% CI: 2.5%–11.6%; I2 = 91.346%; p < 0.001). The pooled prevalence of SSI in patients with tobacco use reported in eight studies was 6.6% (95% CI: 4.1%–10.4%; I2 = 85.379%; p < 0.001). In general, the existing differences in the prevalence of SSI after foot and ankle surgery in different studies can be based on different risk factors such as comorbidities and gender. Therefore, it is suggested to design appropriate interventions to reduce SSI in these patients.