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Published on: September 25, 2017
Improved scoring system for the electrocardiographic diagnosis of left ventricular hypertrophy
Eric D Braunstein1, Lori B Croft2, Jonathan L Halperin2
1Division of Cardiology, Department of Medicine, Montefiore Medical Center/Albert Einstein College of Medicine, Bronx, New York, NY 10467, United States.
Insights
A new electrocardiogram (ECG) scoring system improves the detection of left ventricular hypertrophy (LVH), a key risk factor for heart disease. This diagnostic tool offers better sensitivity for identifying LVH compared to existing ECG methods.
Area of Science:
- Cardiology
- Medical Diagnostics
- Biomedical Engineering
Background:
- Left ventricular hypertrophy (LVH) is a significant risk factor for cardiovascular morbidity and mortality.
- Current electrocardiogram (ECG) methods for diagnosing LVH lack sufficient accuracy.
Purpose of the Study:
- To identify ECG findings correlated with LVH.
- To develop and validate an improved ECG-based system for LVH diagnosis.
Main Methods:
- A cohort study compared ECG data with transthoracic echocardiography (TTE) results.
- Multivariate regression analysis identified key ECG parameters associated with LVH.
- A novel scoring system was derived and validated in independent cohorts.
Main Results:
- The study analyzed data from 5486 outpatients, identifying specific ECG amplitudes, axes, durations, and patient demographics linked to LVH.
- A 5-criterion scoring system was developed.
- The score demonstrated improved sensitivity for LVH detection compared to conventional ECG criteria, with varying specificity based on the chosen threshold.
Conclusions:
- The developed ECG scoring system offers superior sensitivity for detecting left ventricular hypertrophy.
- This new method provides a valuable advancement in the non-invasive diagnosis of LVH using ECG.
Background:
Left ventricular hypertrophy (LVH) is a common manifestation of cardiovascular disease and a risk factor for cardiovascular morbidity and mortality, but available methods for its electrocardiographic (ECG) diagnosis have limited accuracy.
Aim:
To investigate findings associated with LVH on ECG and developed an improved system for the diagnosis of LVH.
Methods:
A cohort study comparing ECG data acquired within 30 days of transthoracic echocardiography (TTE) was performed. Multivariate regression analysis identified ECG findings associated with increased LV mass and mass index. A scoring system was derived and performance compared to established criteria for LVH.
Results:
Data from 5486 outpatients with TTEs and corresponding ECGs were included in the derivation cohort, 333 (6.1%) of whom had LVH by TTE. In the primary regression analysis, findings associated with LVH were amplitudes of Q in V3, R in V6, S in V3, T in V6, P' in V1, P in V6, as well as R and T-axis discordance, R peak time in V6, QRS duration, weight, height, sex, and age. From this we derived a score consisting of 5 criteria, and validated it in an independent cohort of 910 patients. With a threshold of 1.5 points, sensitivity and specificity were 67.9% and 81.4%, and 62.5% and 83.2% in the derivation and validation cohorts, respectively. With a threshold of 2 points, sensitivity and specificity were 42.3% and 93.0%, and 37.5% and 93.4% in these cohorts.
Conclusions:
This score had superior sensitivity for detection of LVH by ECG while making a modest sacrifice in specificity compared to conventional criteria.
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