ArticleBMC cardiovascular disorders2023
A nomogram based on endothelial function and conventional risk factors predicts coronary artery disease in hypertensives.
Article in BMC cardiovascular disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 8 citations in OpenAlex.
- Association Between Complete Right Bundle Branch Block and Vascular Endothelial Function.JACC. Asia · 2026Article
- CYP2C19 Loss-of-Function Is an Independent Risk Factor of Coronary Artery Disease in Patients With Hypertension.Journal of clinical laboratory analysis · 2025Article
- Association of Triglyceride-Glucose Body Mass Index with Target Organ Damage in Essential Hypertension: A Retrospective Cohort Study.Journal of clinical hypertension (Greenwich, Conn.) · 2025Article
- A study on predicting the risk of coronary artery disease in OSAHS patients based on a four-variable screening tool potential predictive model and its correlation with the severity of coronary atherosclerosis.Frontiers in cardiovascular medicine · 2025Article
- Article
- Vascular function assessed by flow-mediated vasodilation and nitroglycerine-induced vasodilation in subjects with first-degree atrioventricular block.Scientific reports · 2024Article
- Apolipoprotein E E3/E4 genotype is associated with an increased risk of coronary atherosclerosis in patients with hypertension.BMC cardiovascular disorders · 2024Article
- Effect of early endothelial function improvement on subclinical target organ damage in hypertensives.Scientific reports · 2024Article
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5 authors at 4 institutions in 1 country.
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Abstract
backgroundThere is currently a lack of a precise, concise, and practical clinical prediction model for predicting coronary artery disease (CAD) in patients with essential hypertension (EH). This study aimed to construct a nomogram to predict CAD in patients with EH based on flow-mediated dilation (FMD) of brachial artery and traditional risk factors.
methodsClinical data of 1752 patients with EH were retrospectively collected. High-resolution vascular ultrasound was used to detect FMD in all patients at the Fujian Hypertension Research Institute, China. Patients were divided into two groups, i.e. training group (n = 1204, from August 2000 to December 2013) and validation group (n = 548, from January 2014 to May 2016) according to the time of enrollment. Independent predictors of CAD were analyzed by multivariable logistic regression in the training group, and a nomogram was constructed accordingly. Finally, we evaluated the discrimination, calibration, and clinical applicability of the model using the area under curve (AUC) of receiver operating characteristic analysis, calibration curve combined with Hosmer-Lemeshow test, and decision curve, respectively.
resultsThere were 263 (21.8%) cases of EH combined with CAD in the training group. Multivariate logistic regression showed that FMD, age, duration of EH, waist circumference, and diabetes mellitus were independent influencing factors for CAD in EH patients. Smoking which was close to statistical significance (P = 0.062) was also included in the regression model to increase the accuracy. Ultimately, the nomogram for predicting CAD in EH patients was constructed according to above predictors after proper transformation. The AUC values of the training group and the validation group were 0.799 (95%CI 0.770-0.829) and 0.836 (95%CI 0.787-0.886), respectively. Calibration curve and Hosmer-Lemeshow test showed that the model had good calibration (training group: χ
conclusionThe nomogram based on FMD and traditional risk factors (age, duration of EH disease, smoking, waist circumference and diabetes mellitus) can predict CAD high-risk group among patients with EH.
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