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Background <p>Pulmonary hypertension (PH) is exhibits a profound pathophysiological association with right heart failure. The non-invasive Remote Dielectric Sensing (ReDS™) technology demonstrates exceptional sensitivity in identifying pathological states, ranging from mild cardiac compensation to severe pulmonary edema. This study aims to develop a PH-ReDS predictive model using ReDS™ technology, leveraging real-world clinical data to evaluate the risk of all-cause mortality or clinical deterioration in patients with PH.</p> Methods <p>We conducted a prospective, convenience-sampled observational pilot study involving adult patients with PH admitted to or followed as outpatients in the cardiology department of our institution. ReDS™ Pro was used to measure dielectric sensing values. Clinical data were extracted from the electronic medical record system of our hospital. Patients were followed up for 6 months post-discharge. The primary endpoints defined as all-cause mortality or PH-related clinical deterioration.</p> Results <p>A total of 202 patients were included, with 24.8% (<i>n</i> = 50) being male. Lung fluid was significantly correlated with left atrial diameter (<i>r</i> = 0.338, <i>p</i> &lt; 0.001), left ventricular ejection fraction (<i>r</i> = -0.256, <i>p</i> &lt; 0.001), and mean right atrial pressure (mRAP; <i>r</i> = 0.219, <i>p</i> = 0.007). Multivariate Cox regression analysis identified lung fluid level, renal insufficiency, and NT-proBNP as significant independent risk factors for PH deterioration. ROC analysis revealed that lung fluid and mRAP effectively discriminated between patients with and without short-term clinical deterioration related to PH, with optimal cut-off values of 30.5% for lung fluid and 6.5 mmHg for mRAP. The Combined PH-ReDS models incorporating lung fluid and mRAP significantly enhanced predictive accuracy, achieving the highest AUC value of 0.733 (95% CI: 0.551–0.916, <i>p</i> = 0.010). Patients with elevated lung fluid levels were found to have a significantly higher risk of short-term clinical deterioration related to PH, with a hazard ratio (HR) of 3.670 (95% CI: 1.274–10.571, <i>p</i> = 0.016).</p> Conclusions <p>The PH-ReDS model demonstrated robust predictive efficacy for all-cause mortality or clinical deterioration in patients with PH. Notably, elevated lung fluid levels were significantly associated with an increased risk of short-term PH-related clinical deterioration, suggesting its potential as an early intervention indicator in clinical practice.</p> Trial registration <p>This trial was retrospectively registered with Clinical Trials. gov on 2025/04/24. The registration number was NCT06942871 .</p>

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The potential of non-invasive remote dielectric sensing in predicting short-term prognosis of patients with pulmonary hypertension

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年10月8日

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  • Dandan Chen,
  • Dan Tian,
  • Qi Jin,
  • Lei Zhang,
  • Xiaochun Zhang,
  • Mingfei Li,
  • Wenzhi Pan,
  • Qianzhou Lv,
  • Daxin Zhou,
  • Junbo Ge,
  • Lihua Guan

摘要

Background

Pulmonary hypertension (PH) is exhibits a profound pathophysiological association with right heart failure. The non-invasive Remote Dielectric Sensing (ReDS™) technology demonstrates exceptional sensitivity in identifying pathological states, ranging from mild cardiac compensation to severe pulmonary edema. This study aims to develop a PH-ReDS predictive model using ReDS™ technology, leveraging real-world clinical data to evaluate the risk of all-cause mortality or clinical deterioration in patients with PH.

Methods

We conducted a prospective, convenience-sampled observational pilot study involving adult patients with PH admitted to or followed as outpatients in the cardiology department of our institution. ReDS™ Pro was used to measure dielectric sensing values. Clinical data were extracted from the electronic medical record system of our hospital. Patients were followed up for 6 months post-discharge. The primary endpoints defined as all-cause mortality or PH-related clinical deterioration.

Results

A total of 202 patients were included, with 24.8% (n = 50) being male. Lung fluid was significantly correlated with left atrial diameter (r = 0.338, p < 0.001), left ventricular ejection fraction (r = -0.256, p < 0.001), and mean right atrial pressure (mRAP; r = 0.219, p = 0.007). Multivariate Cox regression analysis identified lung fluid level, renal insufficiency, and NT-proBNP as significant independent risk factors for PH deterioration. ROC analysis revealed that lung fluid and mRAP effectively discriminated between patients with and without short-term clinical deterioration related to PH, with optimal cut-off values of 30.5% for lung fluid and 6.5 mmHg for mRAP. The Combined PH-ReDS models incorporating lung fluid and mRAP significantly enhanced predictive accuracy, achieving the highest AUC value of 0.733 (95% CI: 0.551–0.916, p = 0.010). Patients with elevated lung fluid levels were found to have a significantly higher risk of short-term clinical deterioration related to PH, with a hazard ratio (HR) of 3.670 (95% CI: 1.274–10.571, p = 0.016).

Conclusions

The PH-ReDS model demonstrated robust predictive efficacy for all-cause mortality or clinical deterioration in patients with PH. Notably, elevated lung fluid levels were significantly associated with an increased risk of short-term PH-related clinical deterioration, suggesting its potential as an early intervention indicator in clinical practice.

Trial registration

This trial was retrospectively registered with Clinical Trials. gov on 2025/04/24. The registration number was NCT06942871 .