Construction predictive model of non-neoplastic epithelial disorders of the vulva and VIN 2+risk based on logistic regression
Objective To investigate the risk factors for non-neoplastic epithelial disorders of the vulva(NNEDV)and VIN 2+and to construct a risk prediction model for NNEDV and VIN2+by applying clinical data.Methods The clinical data of 122 patients with NNEDV and 48 patients with VIN2+were used as model samples,and 68 patients with normal vulvar tissues were used as control group.SPSS 26.0 software was used for the Chi-square Test.Fisher Test and logistic regression analysis,and the logistic regression model were constructed.Using pathological diagnosis results as the gold standard,the value of the prediction model for NNEDV and VIN2+was assessed through the analysis of the ROC curve.The Hosmer-Lemeshow goodness of fit test was used to assess its calibration,and confusion matrix back generation analysis was used to verify the correctness of the model.Results Menopause(OR=2.699,95％CI:1.184～6.151,P＜0.05),pruritus of the vulva(OR=3.758,95％CI:1.537～9.190,P＜0.01)were significantly associated with the risk of NNEDV,and the risk prediction model was statistically significant(P＜0.001).The areas under the curve(AUC)of the prediction model was 0.796(95％CI:0.727～0.864).Hosmer-Lemneshow test was significant(P＞0.05),and the overall prediction correctness of the model was 88.5％(108/122).HPV 16 positive(OR=7.027,95％CI:2.128～23.201,P=0.001),vulvar skin lesion(OR=8.273,95％CI:1.810～37.819,P＜0.01)were significantly associated with the risk of VIN2+,and the risk prediction model was statistically significant(P＜0.001).The areas under the curve(AUC)of the prediction model was 0.826(95％CI:0.747～0.904).Hosmer-Lemneshow test was significant(P＞0.05)and the overall prediction correctness of the model was 75.9％(88/116).Conclusions Menopause and the clinical manifestation of vulvar skin lesions are significantly associated with the risk of NNEDV.HPV 16 positive and the clinical manifestation of vulvar mass are significantly associated with the risk of VIN2+.
non-neoplastic epithelial disorders of the vulvahigh-grade vulvar intraepithelial neoplasiavulvar carcinomalogistic regression:risk prediction models
万方数据
维普
