Key result
Implantable IVC sensors detect HF congestion earlier than symptom-based methods.
Why the study?
Prior self-management strategies using symptoms and weight to prevent HF hospitalizations have shown limited effectiveness due to delayed and non-specific signals.
Does physician-directed patient self-management using an implantable IVC sensor improve medication adjustments and clinical outcomes in patients with heart failure?
Cohort (n=25)
Does physician-directed patient self-management using an implantable IVC sensor improve medication adjustments and clinical outcomes in patients with heart failure?
Physician-directed patient self-management using an implantable IVC congestion sensor is feasible, safe, and significantly increases timely diuretic adjustments in heart failure patients.
Answers are grounded in this paper and cite their sources.
May reduce HF hospitalizations via earlier detection; extends evidence for physician-directed IVC sensor self-management.
BACKGROUND: Prior self-management strategies to prevent heart failure (HF) hospitalizations using symptoms and weight have shown limited effectiveness caused by delayed and nonspecific signals. Ambulatory congestion monitoring may enable safe and actionable self-management. OBJECTIVES: The purpose of this study was to evaluate the safety, feasibility of signal-driven intervention, and clinical signals associated with physician-directed patient self-management using an implantable inferior vena cava (IVC) sensor. METHODS: The authors performed a comparison of 2 sequential prospective cohorts enrolled in FUTURE-HFII (Early Feasibility Study of the NORM System in Heart Failure Patients) using an IVC-based congestion management system: clinician-managed care (n = 15) and physician-directed patient self-management (n = 10). The sole difference between cohorts was the smartphone delivery of prespecified physician-developed care plans to patients. Outcomes included safety, device adherence, medication adjustments, congestion metrics, HF events, and quality of life at 90 days. RESULTS: Across 1,927 measurements, daily usage was high in both groups and numerically greater with self-management (90.5% vs 84.8%). No safety signals were observed, and congestion control (NORM score time-in-range) was comparable between groups. Signal intervention frequency was higher with self-management (10.4 vs 2.8 diuretic changes per patient; RR: 3.71; P < 0.01). HF events were directionally lower in the self-managed cohort (0.11 vs 0.33 events/patient-month; RR: 0.30 [95% CI: 0.04-2.57]). Quality-of-life scores improved in both groups, with larger gains (≥5 points in Kansas City Cardiomyopathy Questionnaire-Clinical Summary Score) in the self-managed cohort (60.0% vs 46.7%). CONCLUSIONS: Physician-directed patient self-management using ambulatory IVC-based congestion monitoring was feasible, associated with increased signal-driven intervention, and not associated with adverse safety signals. This strategy demonstrated favorable clinical signals. These findings support further evaluation of congestion-based self-management strategies in a randomized trial. (Early Feasibility Study of the NORM System in Heart Failure Patients [FUTURE-HFII]; NCT05763407).
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Uriel et al. (2026) conducted a cohort in Heart failure (n=25). Physician-directed patient self-management using an implantable IVC congestion sensor vs. Clinician-managed care was evaluated on Heart failure events (RR 0.30, 95% CI 0.04-2.57). Physician-directed patient self-management using an IVC sensor resulted in 0.11 HF events/patient-month compared to 0.33 with clinician-managed care (RR 0.30; 95% CI 0.04-2.57).
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