Construction of risk prediction model for female pelvic floor dysfunction after cervical cancer surgery
Objective To establish a risk prediction model of female pelvic floor dysfunction(PFD)in patients with cervical cancer after surgical treatment,and provide a theoretical basis of improving the quality of life for cervical cancer survivors.Methods A total of 195 patients with cervical cancer who underwent extensive hysterectomy,pelvic lymph node dissection,paraaortic lymph node dissection and chemo-radiotherapy were collected and followed up for one year.Univariate analysis was conducted on the factors affecting the possible occurrence of PFD after surgery.Variables that had statistical significance in univariate analysis or had not statistical significance in univariate analysis but were considered to have potential significance in professional field were included in multivariate logistic regression analysis to establish a risk prediction model for postoperative pelvic floor dysfunction in patients with cervical cancer.The prediction model was presented in a nomogram.The receiver operating characteristic curve(ROC curve)was plotted and the area under the curve AUC and calibration curve were calculated to evaluate the differentiation,consistency and clinical usefulness of the prediction model,and comprehensively evaluate the prediction efficiency of the model.Results The risk prediction model of pelvic floor dysfunction after cervical cancer surgery was good discriminability(AUC=0.929,95％CI:0.882～0.976).The calibration curve was a dashed line with a slope approaching 1.Internal verification showed that the area under the ROC curve after verification was about 0.902,the sensitivity was 94.9％,the specificity was 85.0％,and the optimal cutoff value was 0.785.Conclusion This study constructed a risk prediction model for postoperative pelvic floor dysfunction in cervical cancer by incorporating risk factors included tumor diameter ≥4 cm,operation duration＞90 min,intraoperative blood loss ≥ 100 mL,indwelling catheter days ≥7 days,chemotherapy times ≥4 times and radiotherapy.This model can predict the risk of postoperative female pelvic floor dysfunction in cervical canc-er patients and intervene in time,and then improve the quality of life for cancer survivors.
Cervical cancerPelvic floor dysfunction in womenPrediction model
万方数据
维普
