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NCT Number: NCT07600398

ReDS-Guided Decongestion in Acute Heart Failure (ReDS-LATAM HF)

Heart failure (HF) is a leading cause of hospitalization, with high rates of early readmission largely driven by residual congestion at discharge. Conventional methods to assess congestion are often imprecise and may fail to guide optimal decongestive therapy.

Remote Dielectric Sensing (ReDS) is a non-invasive technology that provides a rapid and objective estimate of lung fluid content. This study aims to evaluate whether a ReDS-guided decongestion strategy improves clinical outcomes compared with standard care in patients hospitalized for acute heart failure.

In this randomized controlled trial, patients will be assigned 1:1 to a ReDS-guided strategy or standard care. ReDS measurements will be performed in both groups but will only guide treatment in the intervention arm.

The primary endpoint is a composite of all-cause mortality, heart failure rehospitalization, or unplanned HF visit within 30 (±5) days after discharge.

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This study is active but is not currently recruiting participants.

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Key information

Age range

21 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Instituto Cardiovascular de Buenos Aires

Buenos Aires, 1428, Argentina

About this study

Congestion is the main driver of hospitalization and adverse outcomes in acute heart failure (AHF). Residual congestion at discharge is common and associated with increased risk of early rehospitalization and mortality. However, current approaches to assess congestion rely on clinical judgment and indirect markers, which may be insufficient to guide therapy.

Remote Dielectric Sensing (ReDS) is a non-invasive technology that quantifies lung fluid content within seconds. It provides an objective measurement that has been validated against imaging and invasive hemodynamic parameters.

The ReDS-LATAM HF study is a pragmatic, single-center, randomized controlled trial designed to assess whether a ReDS-guided strategy improves early outcomes in patients hospitalized with AHF.

Patients will be randomized 1:1 to either a ReDS-guided strategy, in which daily measurements are used to adjust diuretic therapy according to a predefined protocol, or to standard care based on usual clinical practice. ReDS measurements will be obtained in both groups, but values will be blinded in the control arm.

The primary outcome is a composite of all-cause mortality, heart failure rehospitalization, or unplanned HF visit within 30 (±5) days after discharge. Secondary analyses will include individual components of the primary endpoint, changes in biomarkers, and safety outcomes.

This study also aims to evaluate the feasibility of implementing this technology in a real-world Latin American setting.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Age ≥21 years
  • Hospitalization for acute heart failure with signs of congestion within 48 hours of admission
  • Elevated natriuretic peptides (NT-proBNP >1000 pg/mL or BNP equivalent)
  • Ability to provide informed consent

Exclusion criteria

  • Need for inotropes, vasopressors, or mechanical circulatory support at enrollment Heart transplant recipient Mechanical ventilation at enrollment Conditions that prevent reliable ReDS measurement Planned cardiac surgery or intervention during the study period Severe renal dysfunction (eGFR <15 mL/min/1.73 m² or dialysis) Life expectancy <3 months Inability to complete follow-up Participation in another interventional trial Any condition that may compromise safety or study integrity

Treatment and study plan

Remote Dielectric Sensing (ReDS)

Device

Remote Dielectric Sensing (ReDS) is a non-invasive device that estimates lung fluid content by measuring the dielectric properties of thoracic tissues. The system consists of wearable sensors positioned on the anterior and posterior chest, providing a quantitative measurement within approximately 45 seconds. In this study, ReDS measurements will be performed daily during hospitalization. In the intervention arm, results will be available to the treating physician and used to guide diuretic therapy according to predefined thresholds. In the control arm, measurements will be performed but results will remain blinded and will not influence clinical decision-making.

Standar of care

Other

Standard care consists of treatment based on routine clinical assessment, including physical examination, laboratory parameters, and institutional protocols. Diuretic therapy and other treatments will be adjusted according to the treating physician's clinical judgment, without access to ReDS measurements.

Primary outcomes

  1. Composite of all-cause mortality, heart failure rehospitalization, or unplanned heart failure visit

    Time frame: Within 30 (±5) days after hospital discharge

    Time to first occurrence of a composite endpoint including all-cause mortality, rehospitalization for heart failure (defined as an unplanned hospital admission >24 hours requiring intensification of heart failure therapy), or an unplanned visit for heart failure (emergency department or urgent outpatient visit requiring treatment escalation) within 30 (±5) days after discharge.

Sponsors and collaborators

Lead sponsor

Instituto Cardiovascular de Buenos Aires

Other

Registry information

Official study title

ReDS-LATAM HF: A Randomized Trial of Remote Dielectric Sensing-Guided Decongestion in Acute Heart Failure

Acronym: ReDS-LATAM HF

Important dates

Study start
2026
Primary completion
2027
Study completion
2027
First posted
May 20, 2026
Registry last updated
May 20, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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