Obstructive sleep apnea-hypopnea syndrome: risk of complicated coronary heart disease and construction of its prediction model
10.3969/j.issn.1006-2483.2026.04.024
- VernacularTitle:阻塞性睡眠呼吸暂停低通气综合征并发冠心病发生风险及预测模型的构建
- Author:
Yumeng LIU
1
;
Yue LIN
1
;
Wenjun HAN
1
;
Tingting ZHOU
1
;
Qihong XU
1
;
Jinxing ZHU
1
Author Information
1. Department of Respiratory and Critical Care Medicine, Jiangsu Province Hospital, Nanjing , Jiangsu 210004, China
- Publication Type:Journal Article
- Keywords:
Obstructive sleep apnea-hypopnea syndrome;
Coronary heart disease;
Prediction model
- From:
Journal of Public Health and Preventive Medicine
2026;37(4):114-118
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the independent risk factors for complicated coronary heart disease (CHD) in patients with obstructive sleep apnea-hypopnea syndrome (OSAHS) and to construct a risk prediction model. Methods A retrospective study was performed to analyze the clinical data of 308 OSAHS patients who visited Jiangsu Provincial People's Hospital from January 2021 to June 2025. The patients were divided into the CHD group (n=80) and non-CHD group (n=228) according to the presence or absence of complicated CHD. Independent risk factors were identified using univariate analysis and multivariate logistic regression, and a nomogram prediction model was constructed. The model was evaluated using the calibration curve, Hosmer-Lemeshow test, Decision Curve Analysis (DCA) curve, and Receiver Operating Characteristic (ROC) curve. Results The incidence of CHD in OSAHS patients was 25.97%. Age, history of hypertension, oxygen desaturation index (ODI), severe polysomnography (PSG) grade, decreased high-density lipoprotein cholesterol, elevated homocysteine, and elevated troponin I were independent risk factors for OSAHS complicated with CHD (P<0.05). The nomogram model demonstrated good calibration (Hosmer-Lemeshow test, P=0.995), and the DCA curve showed high clinical net benefit. The area under the ROC curve was 0.940 (95% CI: 0.908~0.972), with a sensitivity of 0.842 and a specificity of 0.900. Conclusion Age, history of hypertension, ODI, PSG grade, high-density lipoprotein cholesterol, homocysteine, and troponin I are independent risk factors for CHD in OSAHS patients. The prediction model constructed based on these factors can provide a reliable tool for clinical nurses to early identify high-risk individuals and formulate targeted intervention strategies.
