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Lung cancer remains a leading cause of cancer-related mortality, with surgical resection as a primary treatment modality. However, postoperative wound infections (PWIs) pose significant risks following thoracoscopic radical resection. This study aims to identify the risk factors and pathogenetic characteristics associated with PWIs in lung cancer surgery. A comprehensive retrospective study was conducted from August 2021 to June 2023 at our institution. The study included 30 patients who developed PWIs and 60 controls who did not, following thoracoscopic radical resection for lung cancer. We evaluated various factors including age, hospital stay, intraoperative blood loss, body mass index (BMI), operation time, prophylactic antibiotic use, diabetes mellitus and tumour staging. Diagnostic criteria for PWIs were based on clinical signs and microbiological confirmation. Statistical analysis was performed using SPSS software, utilizing chi-square tests, and univariate and multivariate logistic regression analyses. The predominant pathogens identified in PWIs were Escherichia coli, Klebsiella pneumoniae and Pseudomonas aeruginosa. Univariate analysis revealed operation time (≥4 h) and diabetes mellitus as significant risk factors for PWIs, while prophylactic antibiotic use was associated with a lower incidence of PWIs. Multivariate analysis further confirmed these findings, highlighting prolonged operation time and diabetes as significant predictors of PWIs, and antibiotic use as a protective factor. Prolonged operation time and diabetes mellitus significantly increase the risk of PWIs following thoracoscopic radical resection for lung cancer, whereas prophylactic antibiotics play a protective role. These findings underscore the importance of tailored preventive strategies in clinical practice to minimize the occurrence of postoperative infections and improve surgical outcomes in lung cancer patients.
We aimed to quantitatively and systematically elucidate the rationality of the examined variables as independent risk factors for sternal wound infection. We searched databases to screen studies, ascertained the variables to be analysed, extracted the data and applied meta-analysis to each qualified variable. Odds ratios and mean differences were considered to be the effect sizes for binary and continuous variables, respectively. A random-effects model was used for these procedures. The source of heterogeneity was evaluated using a meta-regression. Publication bias was tested by funnel plot and Egger's test, the significant results of which were then calculated using trim and fill analysis. We used a sensitivity analysis and bubble chart to describe their robustness. After screening all variables in the eligible literature, we excluded 55 because only one or no research found them significant after multivariate analysis, leaving 33 variables for synthesis. Two binary variables (age over 65 years, NYHA class >2) and a continuous variable (preoperative stay) were not significant after the meta-analysis. The most robust independent risk factors in our study were diabetes mellitus, obesity, use of bilateral internal thoracic arteries, chronic obstructive pulmonary disease, prolonged surgery time, prolonged ventilation and critical preoperative state, followed by congestive heart failure, atrial fibrillation, renal insufficiency, stroke, peripheral vascular disease and use of an intra-aortic balloon pump. Relatively low-risk factors were emergent/urgent surgery, smoking, myocardial infarction, combined surgery and coronary artery bypass grafting. Sternal wound infection after open-heart surgery is a multifactorial disease. The detected risk factors significantly affected the wound healing process, but some were different in strength. Anything that affects wound healing and antibacterial ability, such as lack of oxygen, local haemodynamic disorders, malnutrition condition and compromised immune system will increase the risk, and this reminds us of comprehensive treatment during the perioperative period.
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