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Published on: February 17, 2018
Prognostic factors of pacing-induced cardiomyopathy
Hong Zhang1, Yu-Jie Zhou2, Yu-Jie Zeng1
1Emergency and Critical Care Center, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China.
Insights
Pacing-induced cardiomyopathy (PICM) can lead to heart failure. This study identified paced QRS duration and ventricular pacing percentage as key indicators to predict PICM development in patients receiving pacemakers.
Area of Science:
- Cardiology
- Electrophysiology
- Heart Failure Research
Background:
- Right ventricular pacing can negatively impact left ventricular function, potentially leading to heart failure.
- Pacing-induced cardiomyopathy (PICM) is a clinical concern associated with pacemaker use.
- Identifying patients at risk for PICM before pacemaker implantation is crucial.
Purpose of the Study:
- To validate prognostic factors for predicting the development of pacing-induced cardiomyopathy (PICM).
- To identify patients with a higher susceptibility to PICM before pacemaker implantation.
Main Methods:
- An observational study included 256 patients, with 23 developing PICM within one year.
- Cox proportional hazard models were used to analyze prognostic factors for PICM.
- Dose-response analysis evaluated the relationship between significant indicators and PICM development.
Main Results:
- Male sex, longer paced QRS duration, and higher ventricular pacing percentage were independent predictors of PICM.
- Specifically, a 1 ms increase in paced QRS duration (HR: 1.95) and a 1% increase in ventricular pacing (HR: 1.65) were significantly associated with PICM.
- Dose-response analysis confirmed a positive association between ventricular pacing percentage, paced QRS duration, and PICM.
Conclusions:
- Paced QRS duration and ventricular pacing percentage are the most sensitive prognostic factors for predicting PICM.
- These factors can aid in identifying patients at higher risk for developing cardiomyopathy due to pacemaker use.
Background:
The detrimental outcomes of right ventricular pacing on left ventricular electromechanical function ultimately result in heart failure, a phenomenon termed pacing-induced cardiomyopathy (PICM) in clinical research. This study aimed to validate prognostic factors that can be used to identify patients with higher susceptibility to progress to the stage of cardiomyopathy before pacemaker implantation.
Methods:
This observational analysis enrolled 256 patients between January 2013 and June 2016, 23 (8.98%) of whom progressed to PICM after 1 year of follow-up. A Cox proportional hazard model was used to analyze the prognostic factors associated with PICM. Dose-response analysis was used to evaluate the relationship between significant indicators in multifactor analysis and PICM.
Results:
The mean values of left ventricular ejection fraction before and after pacemaker implantation in 23 patients diagnosed with PICM were 62.3% and 42.7%, respectively. Univariate analysis showed that sex, atrio-ventricular block, paced QRS duration, and ventricular pacing percentage were significantly associated with PICM. In the multivariate analysis, male sex (hazard ratio: 1.20, 95% confidence interval [CI]: 1.09-1.33, P < 0.005), paced QRS duration (hazard ratio: 1.95 per 1 ms increase, 95% CI: 1.80-2.12, P < 0.001), and ventricular pacing percentage (hazard ratio: 1.65 per 1% increase, 95% CI: 1.51-1.79, P < 0.001) were independent prognostic factors associated with the development of PICM. The ventricular pacing percentage and paced QRS duration level defined by the dose-response analysis were positively associated with PICM (P < 0.05).
Conclusions:
Our findings indicated that paced QRS duration and ventricular pacing percentage were the most sensitive prognostic factors for PICM.
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