Perioperative Neurocognitive Disorders in Patients With Colorectal Cancer Undergoing General Anesthesia: Influencing Factors and Development of a Nomogram Prediction Model

ObjectiveTo develop a risk prediction model for perioperative neurocognitive disorders (PND) in patients with colorectal cancer undergoing general anesthesia based on a nomogram. MethodsA total of 207 patients undergoing colorectal cancer surgery under general anesthesia from August 2021 to December 2024 were enrolled and randomly divided into a modeling cohort (n = 145) and a validation cohort (n = 62) at a 7∶3 ratio. Based on the occurrence of PND, the modeling cohort was further divided into PND group (n = 42) and non-PND group (n = 103), while the validation cohort was divided into PND group (n = 18) and non-PND group (n = 44). Logistic regression analysis was performed to identify influencing factors for PND in patients with colorectal cancer undergoing general anesthesia, and a nomogram prediction model was constructed. Receiver operating characteristic (ROC) curves and calibration curves were plotted, and Hosmer-Lemeshow goodness-of-fit test was conducted. Results Univariate analysis showed statistically significant differences between PND group and non-PND group in age, operative time, anesthesia depth, intraoperative blood loss, intraoperative mean regional brain oxygen saturation (rSO2), mean platelet volume (MPV), platelet distribution width (PDW), visual analog scale (VAS) for pain, and Pittsburgh Sleep Quality Index (PSQI) (P 2, MPV, PDW, VAS, and PSQI were all influencing factors for PND in patients with colorectal cancer undergoing general anesthesia (P ConclusionAdvanced age, excessively light anesthesia depth, low intraoperative mean rSO2, elevated serum MPV and PDW, severe pain, and poor sleep quality are influencing factors for PND in patients with colorectal cancer undergoing general anesthesia. The nomogram model established based on these factors exhibits good predictive performance.