基于数据驱动的手术室院感风险评估与干预措施优化研究
A Data-Driven Study on Nosocomial Risk Assessment and Intervention Optimization in Operating Room

目的：基于数据驱动的方法评估手术室院内感染(院感)风险因素，优化防控措施，以提高术后切口愈合质量，降低院感发生风险。方法：对2024年1月至2024年8月在手术室接受手术的150例患者进行前瞻性随访，观察手术室环境、患者特征、手术过程中的风险因素及防控措施的实施效果。通过多元Logistic回归分析术后切口愈合的影响因素，评估风险因素的独立效应。结果：合并基础疾病(P = 0.012)、手术时间(P = 0.035)、术前抗生素使用(P = 0.017)和手术室每日换气次数(P = 0.029)与术后切口愈合显著相关，合理的术前抗生素使用及充足的手术室通风有助于提高愈合质量。结论：数据驱动的风险评估有助于识别院感的高风险因素，并优化防控措施，提高手术室院感管理的科学性和效果，为患者提供更高的安全保障。
Objective: To evaluate the risk factors of nosocomial infection (nosocomial feeling) in operating room based on data-driven method, and optimize the prevention and control measures to improve the quality of postoperative incision healing and reduce the risk of nosocomial feeling. Methods: 150 patients who underwent surgery in the operating room from January 2024 to August 2024 were prospectively followed up to observe the operating room environment, patient characteristics, risk factors during surgery and the implementation effect of prevention and control measures. Multivariate Logistic regression was used to analyze the influencing factors of postoperative wound healing, and the independent effects of risk factors were evaluated. Results: The combination of underlying diseases (P = 0.012), operation time (P = 0.035), preoperative antibiotic use (P = 0.017) and daily air changes in the operating room (P = 0.029) were significantly correlated with postoperative wound healing. Reasonable preoperative antibiotic use and adequate ventilation in the operating room helped improve the healing quality. Conclusion: Data-driven risk assessment is helpful to identify the high risk factors of hospital feeling, optimize prevention and control measures, improve the scientific and effective management of hospital feeling in operating rooms, and provide higher security for patients.