Background: The potential impact of telemedicine (TM) in the monitoring of patients with heart failure (HF) is still uncertain particularly in the frailest patients. The aim of this study was to define the efficacy of a TM-based managed care solution across different HF patient frailty phenotypes.
Methods: We performed a clustering analysis on the basis of 8 frailty-related dimensions to the HF-patients included in the 'insuficiència Cardíaca Optimització Remota' (iCOR) randomised study comparing TM vs. usual care (UC) in HF patients. The primary study endpoint was the incidence of a non-fatal HF event after 6 months of inclusion. The healthcare-related costs in each study group and cluster were also evaluated. The event rates of primary and secondary study endpoints were calculated for each cluster. Cox proportional-hazards regression models were used to evaluate the effect of cluster, treatment group and the interaction term cluster by treatment group on study endpoints.
Results: 5 different frailty phenotypes were identified. The positive effect of TM compared to UC strategy was consistent across all frailty phenotypes (p-value for interaction 0.711). The risk of experiencing a primary event was significantly lower in patients that underwent allocation to the TM arm compared to UC (p-value = 0.016). Ultimately, the healthcare costs were significantly reduced in patients allocated to the TM compared to UC in all 5 frailty phenotypes (all p-value < 0.05).
Conclusions: Non-invasive TM-based follow-up tools are effective compared to UC follow-up in preventing HF events in the early post-discharge period, regardless of the 5 frailty phenotypes.
Keywords: Chronic Heart Failure; Clusters; Frailty Phenotypes; Telemedicine; Transitional Care; eHealth.
Copyright © 2021. Published by Elsevier B.V.