Key result
Automated peripheral oedema monitoring is associated with ~47% fewer recurrent heart failure events.
Why the study?
Weight-based remote monitoring in chronic HF is limited by poor long-term adherence. Automated, passive peripheral oedema monitoring may enable earlier detection of decompensation without requiring active patient engagement, and its effect on recurrent HF events in high-risk patients needed to be estimated.
Does automated, passive peripheral oedema monitoring with health alerts reduce recurrent heart failure events compared to standard care alone in high-risk patients with chronic heart failure?
RCT
Randomised controlled crossover
Does automated, passive peripheral oedema monitoring with health alerts reduce recurrent heart failure events compared to standard care alone in high-risk patients with chronic heart failure?
Passive automated peripheral oedema monitoring with health alerts substantially improved monitoring data availability compared to daily weighing and showed a borderline significant 47% reduction in recurrent heart failure events in high-risk chronic HF patients.
Suggests passive oedema monitoring with alerts may reduce recurrent HF events; extends remote monitoring options beyond weight-based strategies in chronic HF.
Background Recurrent heart failure (HF) events drive morbidity, mortality, and healthcare utilisation1. Weight-based remote monitoring is limited by poor long-term adherence. Automated, passive monitoring of peripheral oedema2 may enable earlier detection of decompensation without requiring active patient engagement to collect remote patient monitoring physiological data. Purpose To estimate the effect size of automated peripheral oedema monitoring with health alerts on recurrent HF events in high-risk patients with chronic HF. Methods HF-TRACK (NCT06334822) is a UK-based randomised controlled crossover trial enrolling patients with chronic HF enriched for prior decompensation and poor adherence to daily weighing. Participants underwent two 3-month treatment periods (standard care vs. standard care plus automated device alerts). The primary efficacy endpoint was recurrent HF events (hospitalisation or urgent HF treatment), adjudicated and analysed using Andersen–Gill Cox proportional hazards models with robust variance clustered by participant. A time-to-first event sensitivity analysis was also performed. Results Adherence to daily weighing was low, with a median of 0.2 days of weight data per week. In contrast, passive oedema monitoring provided substantially greater data availability (median 4.7 days per week). At the interim analysis, 31 HF events occurred during treatment periods (control 20; intervention 11). Automated alerting was associated with a 47% reduction in recurrent HF events compared with control (HR 0.53, 95% CI 0.27–1.03; p=0.0596). Time-to-first HF event analysis was consistent (HR 0.51, 95% CI 0.25–1.03; p=0.0604), with 23 first HF-events (control 15; intervention 8). Mean cumulative function analysis demonstrated sustained divergence in total HF burden across treatment periods. No safety signal was observed. Participants experiencing unscheduled events were older, had a greater comorbidity burden, and demonstrated lower adherence scores than those without events. Before enrolment, fewer patients who later experienced HF hospitalisation had been weighing regularly, despite reporting similar confidence in recognising congestion. Only 40% identified daily weighing as important for HF self-management prior to study entry, despite guideline recommendations. At baseline, participants who subsequently experienced HF-events reported greater symptom burden and more severe peripheral oedema. Across the cohort, EQ-5D domains most affected were mobility, pain/discomfort, and anxiety/depression. Participants preferred passive oedema monitoring over scales, wearables, or implantable systems (all p<0.05). Conclusion In this randomised crossover trial of high-risk HF patients, passive automated peripheral oedema monitoring with health alerts was associated with a clinically meaningful reduction in recurrent HF events compared with standard care.
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Castiello et al. (2026) conducted an RCT in Chronic heart failure. Automated passive peripheral oedema monitoring with health alerts vs. Standard care was evaluated on Recurrent heart failure events (hospitalisation or urgent heart failure treatment) (HR 0.53, 95% CI 0.27-1.03, p=0.0596). Automated peripheral oedema monitoring with alerts was associated with a 47% reduction in recurrent heart failure events vs standard care (HR 0.53, 95% CI 0.27-1.03; p=0.0596).
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