ArticleJournal of clinical hypertension (Greenwich, Conn.)2021
Development of a nomogram for screening the risk of left ventricular hypertrophy in Chinese hypertensive patients.
Article in Journal of clinical hypertension (Greenwich, Conn.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Machine Learning in Left Ventricular Hypertrophy Detection: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2026Pooled it
- Association between ambulatory blood pressure monitoring parameters and left ventricular hypertrophy in an Ecuadorian population.Frontiers in medicine · 2026Article
- 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
- Risk factors and a predictive model for left ventricular hypertrophy in young adults with salt-sensitive hypertension.Journal of clinical hypertension (Greenwich, Conn.) · 2024Article
- Effect of early endothelial function improvement on subclinical target organ damage in hypertensives.Scientific reports · 2024Article
- Nomogram-based risk assessment model for left ventricular hypertrophy in patients with essential hypertension: Incorporating clinical characteristics and biomarkers.Journal of clinical hypertension (Greenwich, Conn.) · 2024Article
- Development and validation of a nomogram for arterial stiffness.Journal of clinical hypertension (Greenwich, Conn.) · 2023Article
- Development of a nomogram for screening the risk of left ventricular hypertrophy in Chinese hypertensive patients.Journal of clinical hypertension (Greenwich, Conn.) · 2021Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Left ventricular hypertrophy (LVH) is an important risk factor for cardiovascular morbidity and mortality in hypertensives. Therefore, early identification of at-risk patients is necessary. The objective of this study was to estimate the risk of LVH among Chinese hypertensives by designing a nomogram. 832 hypertensives were divided into two groups based on the presence of LVH. The least absolute shrinkage and selection operator (LASSO) regression and multivariable logistic regression were successively applied for optimal variable selection and nomogram construction. Discrimination power, calibration, and clinical usefulness were evaluated using the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis. Internal validation was performed using the bootstrap method. The nomogram included five predictors, namely gender, duration of hypertension, age, body mass index (BMI), and systolic blood pressure. The area under the ROC curve (AUC) was 0.724 (95% CI: 0.687-0.761), indicating moderate discrimination. The calibration curve showed an excellent agreement between the predicted LVH and the actual LVH probability. The risk threshold between 5% and 72% according to the decision curve analysis, and the nomogram is clinically beneficial. Internal validation by bootstrapping with 1000 samples showed a good C-index of 0.715, which suggested that the predictive abilities for the training set and testing set were in consistency. Our study proposed a nomogram that can be utilized to assess the LVH risk rapidly for Chinese hypertensives. This tool could be useful in identifying patients at high risk for LVH. Further studies are required to ascertain the stability and applicability of this nomogram.
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