Abstract: Objective: To explore the risk factors for intraoperative hypothermia in cervical cancer patients,and to construct a nomogram model to predict intraoperative hypothermia in cervical cancer patients. Methods: A total of 622 cervical cancer patients undergoing surgical treatment were selected as the study subjects.LASSO analysis and logistic regression analysis were used to screen risk factors for intraoperative hypothermia in cervical cancer patients,and R software was applied to construct a nomogram model to predict intraoperative hypothermia in cervical cancer patients. Results: Among the 622 cervical cancer patients,49 cases had hypothermia during operation,and the incidence of hypothermia was 7.88%.The results of logistic regression analysis showed that body mass index <23.8 kg/m²,anesthesia time≥190 min,operation time≥169 min,intraoperative blood transfusion,intraoperative fluid replacement volume≥2 000 mL,open operation,and intraoperative room temperature≤23 ℃ were risk factors for intraoperative hypothermia in cervical cancer patients (P<0.05 to P<0.01).The results of the nomogram model indicated that the C-index was 0.804 (95%CI:0.769-0.839),and the calibration curve was basically consistent with the ideal curve.The area under the receiver operating characteristic curve was 0.788 (95%CI:0.728-0.849). Conclusions: Body mass index<23.8 kg/m²,anesthesia time≥190 min,operation time≥169 min,intraoperative blood transfusion,intraoperative fluid replacement volume≥2 000 mL,open operation,and intraoperative room temperature≤23 ℃ are risk factors for intraoperative hypothermia in cervical cancer patients.The constructed nomogram model based on the risk factors is helpful to predict the risk of intraoperative hypothermia in patients and formulate relevant prevention and treatment measures in advance.