Observational studyBMC pulmonary medicine2025
The potential of non-invasive remote dielectric sensing in predicting short-term prognosis of patients with pulmonary hypertension.
Observational study in BMC pulmonary medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06942871 (Non-Invasive Lung Water Monitoring Guided by Remote Dielectric Sensing Technology in the Management of Patients With Pulmonary Hypertension), which is not on this map. Not yet cited in PubMed.
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Non-Invasive Lung Water Monitoring Guided by Remote Dielectric Sensing Technology in the Management of Patients With Pulmonary Hypertension
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11 authors.
Funding
Abstract
backgroundPulmonary 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.
methodsWe 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.
resultsA 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).
conclusionsThe 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 registrationThis trial was retrospectively registered with Clinical Trials. gov on 2025/04/24. The registration number was NCT06942871 .
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