ArticleRisk management and healthcare policy2022
Development and Validation of a Coronary Heart Disease Risk Prediction Model in Snorers with Hypertension: A Retrospective Observed Study.
Article in Risk management and healthcare policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed.
- Integrating epidemiological and transcriptomic data reveals novel lipid metabolic drivers of obstructive sleep apnea.Nutrition & metabolism · 2026Article
- Development and validation of diagnostic and prognostic models for heart failure in unstable angina patients.Open heart · 2026Article
- Development and validation of a deep neural network for predicting coronary heart disease in hypertensive patients using 24-hour ambulatory blood pressure monitoring: a retrospective study.Frontiers in medicine · 2026Article
- Comparison of FINDRISC and the Framingham Model for Predicting CHD Risk: Results from the Kharameh Cohort Study.Vascular health and risk management · 2026Article
- Development and validation of a nomogram model to predict coronary heart disease in snoring patients with hypertension and non-glucose metabolism disorders.Journal of medical biochemistry · 2025Article
- The association of the non-HDL-cholesterol to HDL-cholesterol ratio (NHHR) with obstructive sleep apnea among adults aged ≥ 40 years: results from NHANES 2015-2018.BMC public health · 2025Article
- Chinese Guidelines for the Prevention and Treatment of Hypertension (2024 revision).Journal of geriatric cardiology : JGC · 2025Article
- Predicting Short-Term Risk of Cardiovascular Events in the Elderly Population: A Retrospective Study in Shanghai, China.Clinical interventions in aging · 2025Article
- Development and Evaluation of a Hypertension Prediction Model for Community-Based Screening of Sleep-Disordered Breathing.Nature and science of sleep · 2025Article
- Progress in the study of the mechanism of ferroptosis in coronary heart disease and clinical intervention strategies.Frontiers in cardiovascular medicine · 2025Review
- Correlation between weight-adjusted waist index and coronary heart disease: NHANES 1999-2020.Frontiers in cardiovascular medicine · 2024Article
- Construction and validation of a readmission risk prediction model for elderly patients with coronary heart disease.Frontiers in cardiovascular medicine · 2024Article
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14 authors.
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Abstract
Purpose: To develop and validate a risk prediction model for coronary heart disease (CHD) in snorers with hypertension, including traditional and new risk factors. Patients and Methods: Twenty factors were evaluated in the records of 2810 snorers with hypertension. Training (70%) and validation (30%) sets were created by random allocation of data, and a new nomogram model was developed. The model's discrimination and calibration were measured by calculating the area under the receiver operating curve (AUC) and creating calibration charts. The performance of the nomogram model was compared with that of the Prediction for ASCVD Risk in China (China-PAR) and Framingham models by decision curve analysis. An optimal cutoff point for the risk score in the training set was computed to stratify patients. Results: In the nomogram model, the AUCs for predicting CHD at 5, 7 and 9 years in the training set were 0.706 (95% confidence interval [CI] 0.649-0.763), 0.703 (95% CI 0.655-0.751) and 0.669 (95% CI 0.593-0.744), respectively. The respective AUCs were 0.682 (95% CI 0.607-0.758), 0.689 (95% CI 0.618-0.760) and 0.664 (95% CI 0.539-0.789) in the validation set. The calibration chart showed that the predicted events from the nomogram score were close to the observed events. Decision curve analysis indicated that the nomogram score was slightly better than the Prediction for ASCVD Risk in China (China-PAR) and Framingham models for predicting the risk of CHD in snorers with hypertension. A cutoff point was identified for being CHD-free (a nomogram score of ≤121), which could be helpful for the early identification of individuals at high-risk of CHD. Conclusion: The nomogram score predicts the risk probability of CHD in snorers with hypertension at 5, 7 and 9 years, and shows good capability in terms of discrimination and calibration. It may be a useful tool for identifying individuals at high risk of CHD.
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