Survey and construction of prediction model of HPV infection in the genital tract of women undergoing health checkups in Chengdu

Objective To investigate and establish a prediction model of HPV infection in the genital tract of women undergoing health checkups in Chengdu.Methods Women who underwent occupational physical examination in three hospitals in Chengdu from March 2022 to March 2023 were selected as study subjects. The possible factors associated with genital tract HPV infection were collected. The study subjects were divided into the model group and validation group in a 7∶3 ratio, and divided into an infected group and a non-infected group according to the presence or absence of HPV infection. LASSO regression was used to screen the potential factors of HPV infection. Logistic regression model was used to establish a risk prediction model for the risk of HPV infection and to draw a nomogram graph The receiver operating characteristic (ROC) curve, area under curve (AUC), calibration curve and decision curve were used to assess the discrimination, calibration and clinical applicability of the risk prediction model.Results A tot