Analysis of Risk Factors for Lower Extremity Lymphedema after Cervical Cancer Surgery and Construction of a Prediction Model
Objective To construct a risk prediction model of lower limb lymphedema(LLL)after cervical cancer surgery and validate its prediction performance,so as to provide a basis for healthcare workers to recognize the risk of LLL at an early stage.Methods A selection of 759 postoperative cervical cancer pa-tients in a hospital from 2010 to 2020 were retrospectively selected as the study subjects,and the risk fac-tors were screened by unifactorial and multifactorial logistic regression analyses,and Bayes discriminant analysis and nomogram models were established;the predictive ability of the model was assessed by the re-ceiver operating characteristic curve(ROC)of the subjects and the area undercurve(AUC),and the predic-tive value of the model was assessed by the sensitivity and the specificity.Results The AUC for the Bayes discriminant analysis and the nomogram model was 91.30％and 95.00％,the sensitivity was 83.05％and 87.60％,and the specificity was 85.02％and 90.01％.Conclusions The constructed column-line graph mod-el for predicting the risk of LLL after cervical cancer surgery has good predictive performance and can pro-vide a reference for the clinical identification of high-risk patients.
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