Study on key markers of NETosis: predictive indicator for postoperative frailty following complete cytoreductive surgery in advanced ovarian cancer

Objective: This study analyzed factors associated with complete cytoreductive surgery and postoperative frailty in advanced ovarian cancer using key neutrophil extracellular trap (NETosis) markers-neutrophil elastase (NE), myeloperoxidase (MPO), and citrullinated histone H3 (Cit-H3). A risk prediction model was developed and validated. Methods: ). A nomogram-based prediction model was constructed. Internal validation and decision curve analysis confirmed favorable predictive efficacy and clinical net benefit of the model. Results: test indicated good model fit (P = 0. 893), and decision curve analysis demonstrated high net clinical benefit. Conclusion: Postoperative frailty in advanced ovarian cancer is associated with a multifactorial profile, primarily driven by age, nutritional status, STAI scores, MPO, NE, and Cit-H3 levels. The nomogram model was constructed based on these factors initially demonstrated favorable predictive efficacy, and it is expected to serve as an auxiliary tool for the early clinical identification of high-risk populations. However, this study is an exploratory single-center, small-sample research, and its conclusions still need to be further verified through external validation studies with multicenter and large-sample designs.