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This meta-analysis systematically evaluates the impact of thoracoscopic lobectomy on wound infection and complications in lung cancer patients. An extensive computerized search was conducted using PubMed, Embase, Google Scholar, Cochrane Library, China National Knowledge Infrastructure and Wanfang databases for studies comparing thoracoscopic lobectomy with open thoracotomy in the treatment of lung cancer, covering the period up to September 2023. Two researchers independently screened the literature, extracted data and assessed the quality according to predefined inclusion and exclusion criteria. Data analysis was performed using Stata 17.0 software. Ultimately, 21 studies involving 2118 lung cancer surgery patients were included. The analysis revealed that thoracoscopic lobectomy significantly reduced the incidence of wound infections (odds ratio [OR] = 0.22, 95% confidence interval [CI]: 0.13–0.37, p < 0.001) and complications (OR = 0.27, 95% CI: 0.21–0.36, p < 0.001) in lung cancer surgery patients, and also significantly shortened hospital stays (standardized mean difference = −2.07, 95% CI: −2.39 to −1.76, p < 0.001). This study indicates that compared with conventional open thoracotomy, thoracoscopic lobectomy in the treatment of lung cancer reduces the incidence of wound infections and complications and shortens hospital stays, demonstrating significant therapeutic efficacy and warranting broader clinical application.
This retrospective cohort study aimed to identify the risk factors associated with postoperative wound infections in patients undergoing open reduction and internal fixation for tibial plateau fractures. The study was conducted between January 2019 and December 2022, with stringent inclusion and exclusion criteria. Data were collected from the Electronic Health Record system, including demographic information, lifestyle habits, comorbid conditions and surgical variables like preoperative American Society of Anesthesiologists (ASA) scores. The IBM Statistical Package for the Social Sciences, version 27.0, was utilized for rigorous statistical analyses. Univariate analysis identified several factors, such as body mass index (BMI), smoking status and diabetes mellitus, as significant predictors of postoperative wound infection. Multivariate logistic regression revealed that BMI, type of fracture (open vs. closed), surgery duration exceeding 150 min, preoperative albumin levels below 35 g/L and preoperative ASA score of 3 or higher were significant independent risk factors (p < 0.05). Patients with open fractures, preoperative malnutrition, elevated preoperative ASA scores and a history of smoking are at a heightened risk of developing postoperative wound infections. Timely preoperative evaluation of these risk factors is crucial for minimizing the risk of surgical site infections and optimizing clinical management.
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