Association Between the Use of an Adaptive Cardiac Resynchronization Therapy Algorithm and Health Care Use and Cost.

Abstract

Objectives: To assess the association between the use of adaptive pacing on clinical and economic outcomes of cardiac resynchronization therapy (CRT) recipients in a real-world analysis.

Background: The adaptivCRT (aCRT) algorithm was shown in prior subgroup analyses of prospective trials to achieve clinical benefits, but a large prospective trial showed nonsignificant changes in the endpoint of mortality or hospitalizations due to heart failure.

Methods: CRT-implanted patients from the Optum Clinformatics database with ≥ 90 days of follow-up were included. Remote monitoring data were used to classify patients based on CRT setting-adaptive biventricular and left ventricular pacing (aCRT) vs standard biventricular pacing (Standard CRT). Inverse probability of treatment weighting was used to adjust for baseline differences between groups. Mortality, 30-day readmissions, health care use, and payer and patients' costs were evaluated post-implantation.

Results: This study included 2412 aCRT and 1638 Standard CRT patients (mean follow-up: 2.4 ± 1.4 years), with balanced baseline characteristics after adjustment. The aCRT group was associated with lower all-cause mortality rates (adjusted hazard ratio = 0.88 [95% confidence interval (CI):0.80, 0.96]), fewer all-cause 30-day readmissions (adjusted incidence rate ratio = 0.87 [CI:0.81, 0.94]), and fewer all-cause and HF-related inpatient, outpatient and emergency department visits. The aCRT cohort was also associated with lower all-cause outpatient payer-paid amounts and lower all-cause and HF-related inpatient and emergency department patient-paid amounts.

Conclusions: In this retrospective analysis of a large real-world cohort, the use of an adaptive CRT algorithm was associated with lower mortality rates, reduced health care resource use and lower payer and patient costs.