Would Body Mass Index Affect Measurement and Prognostic Value of Remote Dielectric Sensing (ReDS) in Heart Failure?

Q: What is the clinical evidence from this study?

Study design: Cohort. Population: Acute decompensated heart failure (ADHF) (n=172). Intervention: Discharge Remote Dielectric Sensing (ReDS) > 35% (in BMI 18.5-27.9 kg/m² subgroup) vs. Discharge ReDS ≤ 35% (in BMI 18.5-27.9 kg/m² subgroup). Primary outcome: Composite of heart failure rehospitalization or cardiovascular death at 1 month (HR 3.30, 95% CI 1.28-8.52, p=0.014).

Q: What does this research mean for the field?

Body mass index is positively and independently correlated with Remote Dielectric Sensing measurements, with discharge values above 35% significantly predicting one-month adverse outcomes in heart failure. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

Ting Liu; Yingjing Xie; Xiu Zhang; Yu Kang; Zixuan Yang; Xiaojing Chen; Qing Zhang

doi:10.1536/ihj.26-108

January 1, 2026International Heart JournalOpen Access

Would Body Mass Index Affect Measurement and Prognostic Value of Remote Dielectric Sensing (ReDS) in Heart Failure?

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Key result

Remote Dielectric Sensing (ReDS) > 35% predicted 1-month HF rehospitalization or CV death in normal-overweight ADHF patients and per-unit when adjusted for BMI.

Why the study?

Remote Dielectric Sensing (ReDS) is recommended for patients with BMI 22.0-39.0 kg/m2, a range that may not fully represent Chinese heart failure populations. Whether BMI affects ReDS measurement and its prognostic value in acute decompensated heart failure remained unclear.

Does body mass index affect the measurement and 1-month prognostic value of Remote Dielectric Sensing (ReDS) for heart failure rehospitalization and cardiovascular death in patients hospitalized for acute decompensated heart failure?

Study Design

Type

Cohort (n=172)

Blinding

Physicians-in-charge blinded to ReDS results; ReDS operator blinded to clinical profiles

Multicenter

No

Structured PICO

Does body mass index affect the measurement and 1-month prognostic value of Remote Dielectric Sensing (ReDS) for heart failure rehospitalization and cardiovascular death in patients hospitalized for acute decompensated heart failure?

P

Population

172 Chinese patients hospitalized for acute decompensated heart failure (median age 62 years, 34.9% female), free of severe lung disease, followed for 1 month post-discharge.

E

Exposure

Remote Dielectric Sensing (ReDS) non-invasive lung fluid measurement performed within 24 hours prior to discharge in a seated position, along with simultaneous 28-zone lung ultrasound (LUS) for B-lines.

C

Comparator

Comparison across BMI categories (underweight <18.5, normal-to-overweight 18.5-27.9, obese ≥28.0 kg/m²) and ReDS thresholds (>35% vs ≤35%).

O

Outcome

Composite of rehospitalization for heart failure and cardiovascular death at 1-month follow-up (30 ± 7 days after discharge), determined by telephone interview or outpatient visit.composite

Main Result

Hazard Ratio: 3.3 (95% CI 1.28–8.52)

Absolute Event Rate: 34.8% vs 11.1%

p-value: p=0.014

Limitations

Limited number of patients with ReDS > 35% due to prior diuretic therapy during hospitalization, especially in underweight and obese groups
ReDS was measured only at a single time point before discharge, precluding analysis of dynamic evolution
Small sample size in the obese subgroup (n = 18), limiting statistical power and generalizability
Single-center study with a short 1-month follow-up duration
Single-center study with a relatively small sample size and short 1-month follow-up.
Patients had already received adequate diuretic therapy during hospitalization, limiting the number of patients with a discharge ReDS value over 35%, especially in the underweight and obese groups.
ReDS was measured only once before discharge, precluding analysis of its dynamic evolution.
The obese subgroup comprised only 18 patients, limiting statistical power and generalizability in this population.

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Implication

Body mass index positively correlates with and confounds Remote Dielectric Sensing (ReDS) lung fluid measurements in acute decompensated heart failure, demonstrating that accounting for BMI improves the prognostic utility of ReDS for predicting 1-month post-discharge outcomes in Asian populations.

Abstract

Remote Dielectric Sensing (ReDS) non-invasively quantifies pulmonary congestion and is recommended for patients with BMI 22.0–39.0 kg/m2. This range may not fully represent Chinese heart failure (HF) populations, and it remains unclear whether BMI affects ReDS measurement. Therefore, we aimed to investigate the correlation between BMI and ReDS with its prognostic value across BMI categories in patients hospitalized for acute decompensated heart failure (ADHF).

Discussion

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Cite This Study

Liu et al. (2026) conducted a cohort in Acute decompensated heart failure (ADHF) (n=172). Discharge Remote Dielectric Sensing (ReDS) > 35% (in BMI 18.5-27.9 kg/m² subgroup) vs. Discharge ReDS ≤ 35% (in BMI 18.5-27.9 kg/m² subgroup) was evaluated on Composite of heart failure rehospitalization or cardiovascular death at 1 month (HR 3.30, 95% CI 1.28-8.52, p=0.014). Remote Dielectric Sensing (ReDS) > 35% predicted 1-month HF rehospitalization or CV death in normal-overweight ADHF patients and per-unit when adjusted for BMI.

synapsesocial.com/papers/6af87e1fec1fb3c23c580b0d https://doi.org/10.1536/ihj.26-108

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Would Body Mass Index Affect Measurement and Prognostic Value of Remote Dielectric Sensing (ReDS) in Heart Failure?

Study Design

Structured PICO

Main Result

Limitations

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

Would Body Mass Index Affect Measurement and Prognostic Value of Remote Dielectric Sensing (ReDS) in Heart Failure?

Study Design

Structured PICO

Main Result

Limitations

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

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