Kidney Week

Abstract: TH-PO0869

Remote Dielectric Sensing (ReDS): Evaluation of a Novel Noninvasive Method of Assessing Pulmonary Congestion in Patients on Hemodialysis

Session Information

• Dialysis: Prescription, Physiology, and Treatment Optimization
  October 22, 2026 | Location: Exhibit Hall A, Convention Center
  Abstract Time: 10:00 AM - 12:00 PM

Category: Dialysis

• 801 Dialysis: Hemodialysis and Frequent Dialysis

Authors

• Yen, Timothy E., The University of Mississippi Medical Center, Jackson, Mississippi, United States

Timothy E. Yen, MD, MS

• Zhu, Xiaoqian, The University of Mississippi Medical Center, Jackson, Mississippi, United States

Xiaoqian Zhu, PhD

• Tio, Maria Clarissa, The University of Mississippi Medical Center, Jackson, Mississippi, United States

Maria Clarissa Tio, MD, MPH, FASN

• Obi, Yoshitsugu, The University of Mississippi Medical Center, Jackson, Mississippi, United States

Yoshitsugu Obi, MD, PhD, FASN

• Hall, Michael E., The University of Mississippi Medical Center, Jackson, Mississippi, United States

Michael E. Hall, MD, MS

• Dossabhoy, Neville R., The University of Mississippi Medical Center, Jackson, Mississippi, United States

Neville R. Dossabhoy, MD, FASN

• Shafi, Tariq, Baylor Scott & White Medical Center Temple, Temple, Texas, United States

Tariq Shafi, MD, MS, FASN

Background

Precise volume assessment in hemodialysis (HD) remains challenging. Remote Dielectric Sensing (ReDS) is an FDA-approved technology quantifying pulmonary fluid via electromagnetic signals; scores >35% are highly indicative of lung congestion. While validated in heart failure, its feasibility in HD is undefined. We prospectively evaluated ReDS performance and fluid kinetics in maintenance HD.

Methods

We recruited 13 adults with ESKD on maintenance HD at the University of Mississippi Medical Center. Exclusion criteria included lung surgery or BMI >40 kg/m². ReDS measurements were attempted at: (1) Pre-HD, (2) 60-min, (3) End-HD, and (4) 2-hour Post-HD. Clinical and ultrafiltration (UF) data were recorded. Primary analysis included sessions with complete measurements (all four time points). We evaluated ReDS trends via spaghetti plots and assessed associations between UF volume and the change in ReDS from baseline (ΔReDS = Time_x — PreHD) using scatter plots, Spearman correlations, and univariate linear regression.

Results

Participants' mean age was 55 years (39% female, 77% Black). Complete ReDS data was obtained for 9/13 (69%) patients. Signal failure occurred in 4 patients with lower BMI (22.5 vs 26.8 kg/m²). In the cohort with complete data, mean (±SD) ReDS scores were 34.4% ±7.0 (Pre-HD), 34.4% ±5.7 (60-min), and 32.9% ±6.5 (End-HD). By 2 hours post-HD, the mean ReDS score increased to 34.2% ±7.1, returning to near-baseline despite 1.6 ±0.8 L net fluid removal. The association between ultrafiltration volume and ΔReDS was strongest at the 2-hour post-HD mark (Spearman correlation= -0.71; regression p = 0.028) (Fig1).

Conclusion

ReDS successfully quantifies rapid post-dialysis pulmonary re-equilibration, offering a promising, novel approach for volume management that warrants further clinical evaluation.

Funding

• Other NIH Support