Establishment and Validation of a Nomogram for Heart Failure in Patients with Sleep Disorders
WEN Wei
CHI Yi
XIE Beili
LI Haohao
LIU Mingwang
ZHAO Fuhai
Abstract：Objective:To explore the risk factors of heart failure in patients with sleep disorders,establishing and evaluating a Nomogram model of heart failure.Methods:Patients with sleep disorders from 2008-2020 were retrieved through the National Health and Nutrition Examination Survey,and they were divided into to training set and validation set at a ratio of 3∶1.The significant variables for establishing the model were screened using LASSO regression.The model evaluation accuracy and discrimination were assessed using consistency index(C-index),calibration plot,receiver operating characteristic(ROC)curve and decision curve analysis(DCA).Results:A total of 1 062 patients with sleep disorders were included.A Nomogram of heart failure was constructed based on the screened risk factors(coronary heart disease,history of hypertension,and biochemical indicators such as blood glucose,total cholesterol,uric acid and creatinine).The C-index of the training set was 0.830,95%CI 0.799-0.873,and the C-index of external validation was 0.746,95%CI 0.709-0.854.The results of calibration plot suggested that the model showed good accuracy,with an absolute error of approximately 0.05.Decision curve analysis indicated that this model held diagnostic value for patients with heart failure.Conclusion:The predictive Nomogram model could identify heart failure patients with sleep disorders.
Keywords：heart failuresleep disordersrisk factorspredictive modeldecision curve analysis
Publication Date：2025-11-25
Online Publishing Date：2025-12-05(First online date of this platform, not the publication date of the document)
Pages：7( 3390-3396 )