Construction and Validation of A Prognosis Prediction Model for Sudden Deafness
ZHAI Xiaomin
XU Wenwen
ZHANG Honglei
YUAN Jun
GUO Rui
Abstract：Objective To report a nomogram model of prognostic factors in sudden deafness.Methods Data from patients with sudden deafness treated at the Air Force Medical Center from January 2018 to March 2020(n=129),randomly divided into a training set(n=93)and a validation set(n=36),were retrospectively analyzed.The least abso-lute shrinkage and selection operator(LASSO)regression was used to screen variables,and binary logistic regression was used to analyze effects of age,gender,disease side,time of onset,tinnitus,vertigo and audiogram pattern on prog-nosis.Combined with clinical experiences,variables identified via the binary logistic regression analysis were used to construct a prognosis prediction model.The accuracy of the model was assessed and validated by calculating the consis-tency index(C-index)and area under the receiver operating characteristic curve(ROC),as well as calibration and deci-sion degrees.Results Vertigo and audiogram pattern were independent prognostic factors in sudden deafness.The con-cordance indices(C-indices)of nomogram was 0.863(95％CI:0.760-0.931)in the training cohort and 0.786(95％CI:0.627-0.944)in the validation cohort,respectively.The(ROC)was 0.829 for the training cohort and 0.786 for the vali-dation cohort,respectively.Calibration curves suggested high consistency between observations and predictions.Deci-sion curve analysis(DCA)indicated good clinical practicability.Conclusion The model constructed in this study can predict the prognosis in sudden deafness,and can facilitate decision-making for clinical staff.
Keywords：sudden deafnessprognostic factorspredictive models
Publication Date：2024-04-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 211-215 )