Why the study?
Do ICD and CRT-D lead parameters change differently over time in patients with arrhythmogenic right ventricular cardiomyopathy compared to dilated cardiomyopathy?
Do ICD and CRT-D lead parameters change differently over time in patients with arrhythmogenic right ventricular cardiomyopathy compared to dilated cardiomyopathy?
ICD and CRT-D lead parameters remain stable over medium-term follow-up in ARVC patients, whereas pacing thresholds increase over time in DCM patients, reflecting distinct patterns of disease progression.
BACKGROUND: Implantable cardioverter-defibrillator (ICD) lead parameters may deteriorate due to right ventricular (RV) disease such as arrhythmogenic right ventricular cardiomyopathy (ARVC), with implications for safe delivery of therapies. We compared ICD and CRT-D (cardiac resynchronisation therapy-defibrillator) lead parameters in patients with ARVC and dilated cardiomyopathy (DCM). METHODS: RV lead sensing (R wave amplitude) and pacing (threshold and amplitude-pulse width product (APWP)), left ventricular (LV) pacing (APWP), and imaging parameter trends were assessed in 18 patients with ARVC and 18 with DCM. RESULTS: R wave amplitude did not change significantly over time in either group (over 5 years, ARVC -0.4 mV, 95% CI -3.8-3.0 mV; DCM -1.8 mV, 95% CI -5.0-1.3 mV). Within ARVC group, divergent trends were seen according to lead position. DCM patients experienced an increase in RV lead threshold (+1.1 V over 5 years, 95% CI + 0.5 to +1.7 V) and RV APWP (+0.48 Vms over 5 years, 95% CI + 0.24 to +0.71 Vms); ARVC patients had no change. ARVC patients had a higher LVEF at baseline than DCM patients (52 vs 20%, p < 0.001), though LVEF decreased over time for the former, while increasing for the latter. TAPSE did not change over time for ARVC patients. CONCLUSIONS: Lead parameters in ARVC patients were stable over medium-term follow up. In DCM patients, RV lead threshold and RV and LV APWP increased over time. These differential responses for DCM and ARVC were not explained by imaging indices, and may reflect distinct patterns of disease progression.
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Lane et al. (2018) studied this question.
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