According to a scientific report published recently, researchers have been trying to develop a predictive tool specifically designed to detect the risks of surgical site infections (SSI) post-hysterectomy. Their objective is to propose effective strategies for the prevention and control of such infections.
The study, conducted in the Zhejiang Province at a top-tier maternity and child specialist hospital, centered on female patients who underwent hysterectomy between 2018 and 2023. These patients were primarily suffering from gynecological malignancies or benign reproductive diseases that medical treatment could not alleviate. Analyzing data between 2018 and 2022, the team identified risk factors associated with SSI using LASSO regression analysis. Factors like BMI = 24kg/m2, hypoproteinaemia diagnosis, antibiotic usage for three days or more post-operation, previous abdominal surgery, a hospital stay of ten days or more, and malignant pathological type all independently increased the risk of SSI post-hysterectomy.
Using these factors, a predictive nomogram model was built. Using data from 2023 as a validation set, the model’s performance was checked through metrics such as ROC and calibration curves for accuracy. Utilizing DCA and CIC analysis, the clinical utility of the nomogram was found to be promising. This mapping of SSI risks after hysterectomy should prove useful for early identification of high-risk patients, thereby enabling timely interventions to reduce SSI occurrence post-operation.
It is worth noting that hysterectomy, one of the most routine gynecological surgeries, comes with inherent risks of SSI, regardless of the surgical procedure. Infections add to the postoperative stress of the patient, potentially leading to prolonged hospital stay, escalating healthcare costs. With this study, the team has successfully developed a straightforward predictive tool that could enhance easier identification of these risk factors. This enhancement should help in better clinical decision-making in SSI prevention and management providing a valuable tool for early intervention.