Left ventricular dysfunction after pacemaker implantation: Who could benefit from upfront conduction system pacing?
Jordi Lozano-Torres1, Eduard Ródenas-Alesina1, Jaume Francisco-Pascual2
1Cardiology Department, Vall d'Hebron University Hospital, Vall d'Hebron Institut de Recerca, Barcelona; Medicine Department, Universitat Autònoma de Barcelona, Barcelona; Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBER-CV), Madrid, Spain.
Pacing-induced cardiomyopathy (PICM) is a risk after pacemaker implantation. A new risk score can predict PICM severity and guide preventive pacing strategies, improving patient outcomes.
Area of Science:
- Cardiology
- Electrophysiology
- Medical Device Technology
Background:
- Pacing-induced cardiomyopathy (PICM) is a known complication of pacemaker implantation.
- PICM is linked to poorer patient prognosis and adverse cardiovascular events.
Purpose of the Study:
- To evaluate the incidence and prognostic impact of PICM using various definitions.
- To develop a pre-implantation risk score for predicting PICM severity and associated adverse events.
Main Methods:
- Retrospective analysis of 678 patients with preserved ejection fraction undergoing pacemaker implantation.
- Utilized five literature-based definitions for PICM diagnosis and analyzed cardiovascular death or heart failure hospitalization as a composite endpoint.
- Developed and validated a multivariable logistic regression risk score incorporating pre-implantation parameters.
Main Results:
- PICM incidence varied from 5.0% to 19.6% depending on the definition used.
- PICM significantly increased the risk of the composite endpoint (HR 3.23-5.23), with severity correlating to outcome.
- The developed risk score demonstrated good predictive accuracy (AUC 0.710) for PICM and adverse events.
Conclusions:
- Stricter PICM definitions identify higher-risk patient subgroups.
- A validated risk score can predict PICM occurrence and inform the use of preventive conduction system pacing.
- Risk stratification may optimize pacemaker implantation decisions, potentially preventing overtreatment and improving outcomes.
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