Abstract
This editorial critically evaluated the recent study by Wang et al, which systematically investigated the efficacy of perioperative disinfection and isolation measures (including preoperative povidone-iodine disinfection, intraoperative sterile barrier techniques, and postoperative intensive care) in reducing infection rates. The study further incorporated the surgical site infection risk prediction model (constructed via the least absolute shrinkage and selection operator algorithm, integrating patients' baseline characteristics, surgical indicators, and regional antibiotic-resistant bacterial data), and proposed a dynamic prevention and control system termed "disinfection protocols-predictive models-real-time monitoring". The article highlighted that preoperative risk stratification, intraoperative personalized antibiotic selection, and postoperative multidimensional monitoring (encompassing inflammatory biomarkers, imaging, and microbiological testing) enabled the precise identification of high-risk patients and optimized intervention thresholds. Future research is deemed necessary to validate the synergistic effects of disinfection protocols and predictive models through large-scale multicenter studies, combined with advanced intraoperative rapid microbial detection technologies. This approach aims to establish standardized infection control protocols tailored for precision medicine and regional adaptability. Future research should prioritize validating the synergistic effects of disinfection protocols and predictive models via multi-center studies, while incorporating advanced rapid intraoperative microbial detection technologies to develop standardized infection prevention and control procedures. Such efforts will enhance the implementation of precise and regionally adaptive infection control strategies.