重庆医学2025，Vol.54Issue(3)：597-605,611,10.DOI:10.3969/j.issn.1671-8348.2025.03.007
慢性心力衰竭患者睡眠障碍风险预测模型的建立与验证
Development and validation of a risk prediction model for sleep disorders in patients with chronic heart failure
摘要
Abstract
Objective To analyze risk factors for sleep disorders in patients with chronic heart failure(CHF)and construct a nomogram prediction model.Methods Using simple random sampling,306 hospital-ized CHF patients meeting inclusion criteria were enrolled from four Grade A tertiary hospitals in Guangxi Zhuang Autonomous Region(two in Nanning,one each in Yulin and Guilin)between March 2023 and March 2024.LASSO regression analysis was initially employed for variable screening,followed by logistic regression to identify predictive variables for constructing the nomogram model.Model validation and performance evalua-tion were conducted using receiver operating characteristic(ROC)curves,calibration curves,and clinical decision curves,with internal validation performed through Bootstrap resampling(1 000 iterations).Results The incidence of sleep disorders among the 306 patients was 57.5%(176/306).Logistic regression analysis identified eight independent risk factors for sleep disorders in CHF patients(P＜0.05):age,education level,monthly house-hold income per capita,NYHA cardiac function classification,number of comorbidities,triglyceride levels,ano-rexia,and anxiety.The model demonstrated good discrimination for the AUC of 0.91(95%CI:0.77-0.88)and calibration consistency.Conclusion The prediction model established in this study shows good predictive performance,serving as a valuable reference for healthcare providers to early identify sleep disorders and im-plement preventive care strategies in patients with CHF.关键词
慢性心力衰竭/睡眠障碍/预测模型/列线图Key words
chronic heart failure/sleep disorders/prediction model/nomogram model分类
医药卫生引用本文复制引用
甘衍梅,李高叶,廖婷婷,路华,陈丽霞,潘琪妮,杜瑶..慢性心力衰竭患者睡眠障碍风险预测模型的建立与验证[J].重庆医学,2025,54(3):597-605,611,10.基金项目
广西医疗卫生适宜技术开发与推广应用项目(S2021110) （S2021110）
广西医科大学第一附属医院护理临床研究攀登天使启明星计划项目(YYZS2020032). （YYZS2020032）
