Related Experiment Video

Updated: May 9, 2026

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
09:20

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction

Published on: February 13, 2021

Construction and verification of a diagnostic nomogram for heart failure in hypertrophic cardiomyopathy based on

Yu Li1, Ziqi Duan2, Jinlei Li1

  • 1Department of Emergency Medicine, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

The Egyptian Heart Journal : (EHJ) : Official Bulletin of the Egyptian Society of Cardiology
|May 8, 2026
PubMed

Insights

A new nomogram accurately identifies heart failure (HF) in hypertrophic cardiomyopathy (HCM) patients using routine indicators. This tool aids in early diagnosis and personalized treatment strategies for better patient outcomes.

Area of Science:

  • Cardiology
  • Medical Diagnostics

Background:

  • Heart failure (HF) presents diversely in patients with hypertrophic cardiomyopathy (HCM).
  • Accurate identification of HF in HCM is crucial for effective management.

Purpose of the Study:

  • To develop and validate a diagnostic nomogram for identifying HF in HCM patients.
  • To utilize routine clinical indicators for improved diagnostic accuracy.

Main Methods:

  • Development and validation of a diagnostic nomogram using clinical data.
  • Inclusion of B-type natriuretic peptide (BNP), diuretic use, and myocardial ischemia as indicators.
  • Assessment of model performance using Area Under the Curve (AUC), sensitivity, and specificity.

Main Results:

  • The nomogram demonstrated high diagnostic performance with AUCs of 0.917 (training) and 0.929 (validation).
  • Optimal thresholds yielded high sensitivity (89.1-90.9%) and specificity (79.9-82.9%).
  • The model showed good calibration and provided a net clinical benefit.

Conclusions:

  • The developed nomogram is a reliable tool for identifying HF in HCM patients.
  • This diagnostic aid supports clinical stratification and personalized management strategies.
  • Routine clinical indicators can effectively predict HF in the HCM population.

Keywords:
Diagnostic modelHeart failureHypertrophic cardiomyopathyNomogram

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