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Identifying Obstructive Hypertrophic Cardiomyopathy from Nonobstructive Hypertrophic Cardiomyopathy: Development and
Lanyan Guo1, Zhiling Ma1, Weiping Yang1
1Department of Cardiology, Xijing Hospital, the Fourth Military Medical University, Xi'an, Shaanxi, China.
Global Heart
|August 7, 2023
Summary
A new electrocardiogram (ECG) model using P wave interval and SV1 can differentiate obstructive hypertrophic cardiomyopathy (HOCM) from nonobstructive hypertrophic cardiomyopathy (HNCM). This tool aids in initial HCM patient classification.
Area of Science:
- Cardiology
- Medical Diagnostics
- Biomedical Engineering
Background:
- Hypertrophic cardiomyopathy (HCM) presents heterogeneously in obstructive (HOCM) and nonobstructive (HNCM) forms.
- Electrocardiography (ECG) is a common screening tool, but its utility for initial HOCM/HNCM classification is unclear.
Purpose of the Study:
- To develop a pragmatic model using standard 12-lead ECG features for initial HOCM/HNCM identification.
- To assess the model's diagnostic performance, calibration, and clinical utility.
Main Methods:
- Prospective data from 172 HCM patients for training and 62 for temporal validation.
- External validation using 889 retrospectively collected ECG samples (390 HOCM, 499 HNCM).
- Multivariable logistic regression to build the prediction model.
Main Results:
- Ten ECG parameters differed significantly between HOCM and HNCM (P < 0.05).
- A model using P wave interval and SV1 achieved a C-statistic of 0.805 (temporal) and 0.776 (external) for HOCM/HNCM differentiation.
- Model demonstrated good calibration and clinical utility.
Conclusions:
- The P wave interval and SV1 model effectively discriminates HOCM from HNCM.
- This pragmatic ECG-based model can assist in the initial classification of HCM patients.
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