Epidemiology of postoperative spinal wound infection in the Middle East and North Africa (MENA) region

Abstract

BackgroundDespite the extensive literature on postoperative spinal wound infection, yet to our knowledge, there is no previous study containing combined data from several sites in the Middle East and North Africa (MENA) region. This study aimed to estimate the incidence of surgical site infection (SSI) following spine surgeries, its associated factors, and management. MethodsIn a retrospective cohort study, medical records of all patients ≥18 years of age who underwent spine surgery at 6 tertiary referral centers in the MENA region between January 2014 to December 2019 (n=5,872) were examined to collect data on the following: (1) Patient's characteristics, (2) Disease characteristics, (3) Spine surgery approach, and (4) Characteristics of Postoperative SSI. The determinants of postoperative SSI were identified using logistic regression analysis. Receiver operating characteristic (ROC) curve was applied to identify the cut-off of the length of stay in the hospital postoperatively till the infection is likely to occur. Significance was set at p<.05. ResultsThe overall incidence of SSI was 4.2% (95% CI: 3.72–4.77), in the form of deep (46.4%), superficial (43.1%), dehiscence (9.3%), and organ space (1.2%) infections. After adjusting for all possible confounders, significant predictors of postoperative SSI were; diabetes (OR=2.12, p<.001), smoking (OR=1.66, p=.002), revision surgery (OR=2.20, p<.001), open surgery (OR=2.73, p<.001), perioperative blood transfusion (OR=1.45, p=.033), ASA class III(OR=2.08, p=.002), and ≥4 days length of stay "LOS" (OR= 1.71, p=.001). A cut-off of 4 days was the optimum LOS above which postoperative SSI is more likely to occur, with 0.70 sensitivity, 0.47 specificity, and 0.61 area under the curve. ConclusionsThis is the first study that highlighted the incidence of postoperative SSI in spine surgery in the MENA region. Incidence figures are comparable to figures in different areas of the world. Identifying predictors of SSI might help high‑risk patients benefit from more intensive wound management.