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Published on: May 12, 2017
Electrocardiographic parameters associated with pacemaker induced cardiomyopathy
Zak Loring1, Anna Giczewska2, Paul Hofmann2
1Duke Clinical Research Institute, Durham, NC, USA; Division of Cardiology, Department of Medicine, Duke University, Durham, NC, USA.
Insights
Identifying patients at risk for pacemaker-induced cardiomyopathy (PiCM) is challenging. This study found that standard electrocardiogram (ECG) data, including advanced features, offered limited predictive value for PiCM development in patients with right ventricular pacing.
Area of Science:
- Cardiology
- Biomedical Engineering
- Medical Diagnostics
Background:
- Chronic right ventricular (RV) pacing can lead to left ventricular (LV) dyssynchrony.
- This dyssynchrony may result in pacemaker-induced cardiomyopathy (PiCM).
- Current methods for identifying patients at risk for PiCM are limited.
Purpose of the Study:
- To identify predictors of PiCM in patients receiving RV-only permanent pacemakers (PPMs).
- To evaluate the utility of pre- and post-pacing electrocardiograms (ECGs), including advanced ECG (A-ECG) parameters, in predicting PiCM.
Main Methods:
- Retrospective analysis of 404 patients with normal baseline ejection fractions (EFs) receiving RV-only PPMs.
- Primary endpoint defined as a decrease in EF, death, or cardiac transplant without competing cause.
- Analysis of scalar ECG measurements (e.g., lead one ratio) and A-ECG features.
Main Results:
- 140 patients (35%) met the primary endpoint in the pre-PPM ECG analysis.
- Predictors included female sex, T' wave in V6, P' wave in aVL, and estimated glomerular filtration rate.
- In post-PPM ECGs, predictors included female sex, age, and history of congestive heart failure.
- Neither lead one ratio nor A-ECG parameters were strong predictors of PiCM.
Conclusions:
- Baseline and paced ECG data offer limited insight into predicting PiCM.
- Further research is needed to identify robust predictors of pacemaker-induced cardiomyopathy.
Background:
Chronic right ventricular (RV) pacing can induce left ventricular (LV) dyssynchrony and cause pacemaker induced cardiomyopathy (PiCM). Identifying which patients are at risk for PiCM is limited.
Methods:
Patients receiving RV-only permanent pacemakers (PPMs) at Duke University Medical Center between 2011 and 2017 who had normal baseline ejection fractions (EFs) were identified. Patients who developed a subsequent decrease in EF, died, or underwent cardiac resynchronization therapy, left ventricular assist device, or heart transplant without a competing cause were considered as the primary endpoint. Pre-PPM and post-PPM electrocardiograms (ECGs) were analyzed to extract scalar measurements including the lead one ratio (LOR) as well as advanced-ECG (A-ECG) features to identify predictors of PiCM. Traditional and penalized Cox regression were used to identify variables predictive of the primary endpoint.
Results:
Pre-PPM ECGs were evaluated for 404 patients of whom 140 (35%) experienced the primary endpoint. Predictors included female sex (hazard ratio [HR] 1.14), a T' wave in V6 (HR 1.31), a P' wave in aVL (HR 0.88), and estimated glomerular filtration rate (HR 0.88). Post-PPM ECGs were evaluated for 228 patients for whom 94 (41%) experienced the primary endpoint. Predictors included female sex (HR 0.50), age (HR 1.06), and a history of congestive heart failure (HR 1.63). Neither LOR nor A-ECG parameters were strong predictors of the primary endpoint.
Conclusions:
Baseline and paced ECG data provide limited insight into which patients are at high risk for developing PiCM.
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