Key result
Pacing-induced cardiomyopathy is linked to over 3-fold higher risk of CV death or HF hospitalization.
Its licence doesn't allow us to show a copy here.
Why the study?
Pacing-induced cardiomyopathy (PICM) is a recognized complication following pacemaker implantation associated with worse prognosis. This study aimed to examine the incidence and prognostic significance of PICM across existing definitions and to develop a pre-implant risk score to predict PICM severity and adverse events.
Does a pre-implantation risk score predict pacing-induced cardiomyopathy (PICM) and adverse cardiovascular events in patients with baseline LVEF ≥50% undergoing pacemaker implantation?
Cohort (n=678)
Does a pre-implantation risk score predict pacing-induced cardiomyopathy (PICM) and adverse cardiovascular events in patients with baseline LVEF ≥50% undergoing pacemaker implantation?
A pre-implantation risk score incorporating native QRS width, LVEF, LVEDD, and %RVP can predict pacing-induced cardiomyopathy (AUC 0.710) and help identify high-risk patients who may benefit from upfront conduction system pacing.
May prompt closer surveillance in high-risk pacemaker recipients; leaves open prospective validation of the predictive score before guiding therapy.
BACKGROUND Pacing-induced cardiomyopathy (PICM) is a recognized complication following pacemaker implantation and is associated with worse prognosis. OBJECTIVE This study aimed to examine the incidence and prognostic significance of PICM using existing definitions in the literature and to develop a risk score prior to implant to predict PICM severity and adverse events. METHODS Retrospective, longitudinal analysis in 678 patients with baseline LVEF ≥50% who underwent pacemaker implantation between 2010 and 2020. Five PICM definitions were found in the literature and were used to stablish the diagnosis. The composite event was CV death or hospitalization for heart failure. The pre-implantation risk score was developed using a multivariable logistic regression model and then both internally validated and assessed by decision curve analysis. RESULTS PICM showed a range of 19.6%-5.0% incidence and 4.7-1.1 cases per 100 person years, dependent on the definition employed. PICM was associated with a higher risk of the composite endpoint (HRs 3.23-5.23), with cumulative incidence of primary outcome increasing as PICM severity increased. A risk score including native QRS width, LVEF, LVEDD, and %RVP had good discrimination (AUC 0.710) and calibration. If a >15% predicted probability threshold was applied to the implant decision-making, it would result in net clinical benefit, unnecessary utilization of conduction system pacing (CSP) and improved clinical outcomes among high-risk subgroups. CONCLUSIONS Stricter definitions of PICM identify fewer patients but exposed to higher risk. A risk score can predict the occurrence of PICM and guide utilization of preventive CSP. This would provide clinical benefit and prevent overtreatment.
No takes yet. Share an insight, caveat, or question.
Lozano-Torres et al. (2025) conducted a cohort in Pacing-induced cardiomyopathy after pacemaker implantation (n=678). Pacing-induced cardiomyopathy (PICM) vs. Patients without PICM was evaluated on Composite of cardiovascular death or hospitalization for heart failure (HRs 3.23-5.23). Pacing-induced cardiomyopathy occurred in 5.0%-19.6% of pacemaker recipients and increased risk of cardiovascular death or HF hospitalization (HRs 3.23-5.23), predicted by a pre-implant score.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: