# Association between lung fluid levels estimated by remote dielectric sensing and lung ultrasound in patients with heart failure

## TL;DR

This study explores a new non-invasive method for measuring lung fluid in heart failure patients and finds it correlates with traditional ultrasound assessments.

## Contribution

The study establishes a novel correlation between ReDS measurements and lung ultrasound B-line counts in heart failure patients.

## Key findings

- ReDS values showed a significant positive correlation with B-line counts (r = 0.544, p < 0.001).
- ReDS demonstrated fair diagnostic accuracy with 73.5% sensitivity and 70.2% specificity at a cutoff of 34.5%.

## Abstract

Lung ultrasound (LUS) has been established as a standard modality for assessing pulmonary congestion in heart failure. Remote Dielectric Sensing (ReDS) represents a novel, rapid, non-invasive technology for quantifying pulmonary fluid content. However, the correlation between ReDS and LUS findings in heart failure patients remains undefined.

In this prospective, single-center observational study from March 2024 to June 2024, patients with heart failure were consecutively enrolled and underwent ReDS and LUS examinations. We assessed the agreement between these two modalities in measurement of lung fluid.

Among 153 enrolled patients [median age 74 (60, 81) years; 92 male], median values were 32% (range 16%–59%) for ReDS measurements and 7 (range 0–32) for B-line count. 49 (32%) patients demonstrated significant pulmonary congestion on LUS. There was a significant positive correlation between ReDS values and sum of B-lines on LUS (r = 0.544, p < 0.001). In multivariate linear regression, ReDS levels (β = 0.569, p < 0.001) showed independent associations with the B-line count. At a cutoff of 34.5%, ReDS demonstrated the ability to identify pulmonary congestion on LUS, with an area under the curve of 0.748, sensitivity of 73.5%, and specificity of 70.2%.

ReDS technology showed marked correlation with B-line counts and fair diagnostic accuracy in detecting pulmonary congestion on LUS, suggesting its potential utility for volume assessment in heart failure management.

ChiCTR2400081719 in the Chinese Clinical Trial Registry.