ArticleAmerican journal of translational research2025
Predictive value of lipid levels in coronary heart disease in elderly hypertensive patients.
Article in American journal of translational research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.
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1 citing paper in PubMed.
- Outcomes ofGastroenterology and hepatology from bed to bench · 2026Review
Corrections and comments
- Erratum issued
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo evaluate the predictive value of lipid levels for coronary heart disease (CHD) risk in elderly hypertensive patients and to establish a prediction model.
methodsData from 428 elderly hypertensive patients attending the First Affiliated Hospital of Anhui Medical University between January 2021 and December 2023 were retrospectively collected. Patients were categorized into CHD and non-CHD groups based on the presence of comorbid CHD. Risk factors were identified using logistic regression, and a clinical prediction model was constructed. Model discrimination and calibration were assessed using receiver operating characteristic (ROC) curves and the Hosmer-Lemeshow test. Decision curve analysis (DCA) was used to assess the clinical application value of the model.
resultsAdvanced age, smoking, hypertension duration >10 years, and abnormal total cholesterol (TC) were independently associated with an increased risk of CHD in elderly hypertensive patients. In addition, there was a trend linking abnormalities in low-density lipoprotein cholesterol (LDL-C) and lipoprotein(a) [Lp(a)] with higher CHD risk in this population. The developed clinical prediction model showed good discrimination (AUC=0.71) and calibration (P=0.907). The model's accuracy, sensitivity, specificity, positive predictive value, and negative predictive value were 0.69, 0.72, 0.60, 0.82, and 0.46, respectively.
conclusionAbnormal lipid levels are independent predictors of increased CHD risk in elderly hypertensive patients. The prediction model developed in this study holds clinical value in assessing CHD risk, enabling early identification of high-risk patients and the development of individualized preventive strategies.
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