Objective:To construct a nomogram model for predicting death in cervical cancer patients within 5 years based on color Doppler ultrasound parameters and serological indicators, and to evaluate the discrimination and consistency of the model.MethodsFrom October 2020 to December 2024, patients with cervical cancer who received radical cervical resection in Longgang District People's Hospital in Shenzhen were regarded as the research objects. All patients underwent preoperative color Doppler ultrasound. Serological indicators were collected. Multivariate COX regression analysis of the risk factors for death within 5 years in cervical cancer patients. R software was used to build a nomogram model to predict the 5-year mortality risk of cervical cancer patients, and the receiver operating characteristic (ROC) curve and calibration curve were used to verify the discrimination and consistency of the nomogram model.ResultsA total of 500 cervical cancer patients were included, and the cervical cancer patients were grouped into a modeling set of 300 cases and a validation set of 200 cases in a ratio of 6∶4. The resistance index (RI) and pulsatility index (PI) of the death group were lower than those of the survival group, and the proportions of abundant microvascular blood flow, SCCA≥1.5 ng/mL, and CA125≥35 kU/L in the lesion were higher than those of the survival group (P<0.05). COX regression analysis showed that RI index, abundant intralesional microvascular blood flow, SCCA≥1.5 ng/mL, CA125≥35 kU/L were risk factors affecting the prognosis of cervical cancer patients (P<0.05). Based on risk factors, R software was used to establish a nomogram model to predict the 5-year mortality risk of cervical cancer patients, and the Hosmer-Lemeshow goodness of fit test showed that the modeling set χ²=7.629, P=0.471, the validation set χ²=9.051, P=0.338. The area under the ROC curve of the modeling set was 0.841. The area under curve of the validation set was 0.822.ConclusionThe nomogram model constructed in this study to predict the 5-year mortality risk of cervical cancer patients has good discrimination and consistency.