Abstract: Objective To construct a predictive model for short-term postoperative prognosis ofcervical cancer patients based on the aspartate aminotransferase-to-platelet ratio index ( APRI).Methods A total of 112 patients diagnosed with cervical cancer and undergoing radical surgeryfrom January 2021 to August 2023 in Hubei Jianghan Oilfield General Hospital were included as the cervical cancer group, according to the inclusion and exclusion criteria. Additionally, 100 healthy women who underwent gynecological examinations during the same period were selected as the control group. During follow-up, cervical cancer patients were divided into a good prognosis group (81 cases) and a poor prognosis group (31 cases) based on their postoperative prognosis. General information was compared between the cervical cancer group and the control group, and clinical data from the cervical cancer group were collected to explore the risk factors affecting the short-term prognosis of cervical cancer patients after radical surgery. A nomogram model was constructed to predict the prognosis of cervical cancer patients after radical surgery. The ROC curve was used to analyze the predictivevalue of APRI for the short-term postoperative prognosis of cervical cancer patients. Results Compared with the control group, the cervical cancer group had higher APRI and high-risk HPV infection rates (P<0. 05). Significant differences were observed in tumor diameter, differentiation grade, FIGO stage, lymph node metastasis, AST, APRI, and HPV between the good prognosis group and thepoor prognosis group (all P<0. 05). Upon conducting Logistic regression analysis, it was determinedthat the following factors emerged as independent predictors of short-term unfavorable prognosis in cervical cancer patients following radical surgery: tumor diameter, degree of differentiation, FIGO stage, lymph node metastasis status, APRI values, and the presence of high-risk HPV infection (allP<0. 05). The calibration curve of the nomogram model indicated high applicability, with accurateand reliable predictions. The ROC curve results showed that APRI could serve as an effective diagnostic indicator for predicting short-term poor postoperative prognosis in cervical cancer patients (AUC =0. 743, P<0. 05). Conclusion APRI may have a reference value in predicting the short-term prognosis of cervical cancer patients undergoing radical surgery.

Key words: