Urine-based algorithm to personalize diuretics for fluid relief in acute heart failure
Official title: Simple Urine Composition-based Personalized Algorithm for Effective Congestion Relief in Decompensated Heart Failure
Run by Wroclaw Medical University · NCT07099885 · Data updated 2026-11-12
This will test whether a urine-composition algorithm can guide IV diuretics to help adults hospitalized with acute heart failure remove excess fluid more effectively.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 90 (estimated) |
| Sponsor | Wroclaw Medical University Academic / other |
| Locations | 2 sites (Wroclaw, Dolnosląskie and 1 other locations) |
| Status | Recruiting |
| Started | August 1, 2025 |
| Main results expected | December 31, 2026 |
| Study ends | January 31, 2027 |
| Registry record updated | August 12, 2025 |
| Trial ID | NCT07099885 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults admitted within 24 hours primarily for acute heart failure with signs of congestion, NT-proBNP >1500 pg/ml, and an anticipated need for diuretics for at least 48 hours.
✕Probably not a fit
Patients with end-stage kidney disease on dialysis, those who are hemodynamically unstable requiring inotropes, or those with active IV-treated infections are excluded and unlikely to benefit from this approach.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
Ninety adults hospitalized for acute heart failure with clinical congestion will be randomized 1:1 to algorithm-guided versus usual care diuretic management. All participants receive IV furosemide with the initial dose set by the treating physician and a spot urine sample taken two hours after dosing to measure sodium and creatinine. A machine-learning tool uses those values to predict six-hour urine output and, in the algorithm arm, to guide the diuretic plan for the first 24 hours; the control arm receives physician-directed care without the tool. The approach focuses on early, personalized adjustment of loop diuretics to improve short-term decongestion outcomes during the hospitalization.
Why it matters
Potential benefit: If successful, the algorithm could speed up fluid removal and shorten time to clinical decongestion for hospitalized patients with acute heart failure.
How similar studies have gone: Previous work using urine sodium–guided diuretic strategies has shown promise, but machine-learning urine-output prediction tools are relatively novel and less tested in randomized settings.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Adult patients over 18 years of age who provide informed consent * Ability to enroll in the study within the first 24 hours of hospitalization * Primary reason for hospitalization is acute heart failure with signs of congestion (at least moderate lower extremity edema) * NT-proBNP \> 1500 pg/ml * Anticipated need for diuretic therapy for at least 48 hours from the time of study enrollment Exclusion Criteria: * End-stage kidney disease requiring renal replacement therapy * Hemodynamic instability requiring inotropic support * Active infection requiring intravenous antibiotic therapy
Where it's running
-
Wroclaw Medical University
Wroclaw, Dolnosląskie, Poland Recruiting -
Wroclaw Medical University
Wroclaw, Lower Silesian Voivodeship, Poland Recruiting
Study contacts
- Study coordinator: Jan Biegus, MD, PhD
- Email: jan.biegus@umw.edu.pl
- Phone: 71 736 42 05
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.