Prognostic factors of pacing-induced cardiomyopathy / 中华医学杂志(英文版)

ABSTRACT

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.