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October 20, 2025Open Access

A predictive model for left ventricular hypertrophy in hypertensive children

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Authors

YLYang LiuYCYaxi CuiYLYao Lin

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Overview

Retrospective analysis improved ECG diagnosing of left ventricular hypertrophy in hypertensive youth, suggesting effective early detection.

Key Points

  • The nomogram model significantly improves ECG diagnosis of left ventricular hypertrophy in pediatric hypertension.
  • Model performance showed an area under the curve of 0.822 for the training cohort and 0.803 for the test cohort.
  • Independent predictors identified included body mass index, RI + SV4, and SD + SV4, supporting their clinical value.
  • Calibration curves indicated good agreement between predicted and actual probabilities, highlighting model reliability.

Cite This Study

Liu et al. (2025) studied this question.

synapsesocial.com/papers/68f5a78aab63786de5b45ff9https://doi.org/10.1101/2025.10.15.25338126
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1A multivariate electrocardiographic predictive model for left ventricular hypertrophy in children with primary hypertension2026
  2. 2Construction and validation of a nomogram to predict left ventricular hypertrophy in low‐risk patients with hypertension2024 · 4 citations
  3. 3Electrocardiographic Criteria for Left Ventricular Hypertrophy in Children2008 · 45 citations
  4. 4ECG is an inefficient screening-tool for left ventricular hypertrophy in normotensive African children population2016 · 1 citations
  5. 5Single-lead ECG-based machine learning model for noninvasive detection of left ventricular hypertrophy in hypertension2026 · 2 citations