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Recruiting NCT07099885

NCT07099885 Simple Urine Composition-based Personalized Algorithm for Effective Congestion Relief in Decompensated Heart Failure

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Clinical Trial Summary
NCT ID NCT07099885
Status Recruiting
Phase
Sponsor Wroclaw Medical University
Condition Acute Heart Failure (AHF)
Study Type INTERVENTIONAL
Enrollment 90 participants
Start Date 2025-08-01
Primary Completion 2026-12-31

Eligibility & Interventions

Sex All sexes
Min Age 18 Years
Max Age N/A
Study Type INTERVENTIONAL
Interventions
Standard of Care (SOC)Algorithhm-based decongestion

Eligibility Fast-Check

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What to Expect as a Participant

You will actively receive the study intervention — which may be a drug, biologic, device, or procedure.

This trial targets 90 participants in total. It began in 2025-08-01 with a primary completion date of 2026-12-31.

⚠ This information is for research awareness only. Always consult your physician before joining any clinical trial. Participation is voluntary and you may withdraw at any time.

Brief Summary

The aim of this study is to evaluate the effectiveness of loop diuretic adaptative algorithm that is based on machine learning, urine output prediction tool, in decongestion of acute heart failure patients. A total of 90 patients will be enrolled in the study. Of these, 45 will be assigned to the algorithm-based intervention group, while the remaining 45 will serve as the control group. In the control group, all decisions regarding diuretic therapy will be made solely by the attending physician, without the use of the algorithm. Patients will receive intravenous furosemide, with the initial dose determined by the attending physician. Two hours after administration of the diuretic, a spot urine sample will be collected to measure sodium and creatinine concentrations. Based on these values, the 6-hour urine output will be estimated using the machine learning, urine output prediction tool (http://diuresis.umw.edu.pl). This estimate will guide the diuretic therapy plan for the first 24 hours of hospitalization. On the second day, the procedure will be repeated using the same methodology.

Eligibility 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

Contact & Investigator

Central Contact

Jan Biegus, MD, PhD

✉ jan.biegus@umw.edu.pl

📞 71 736 42 05

Frequently Asked Questions

Who can join the NCT07099885 clinical trial?

This trial is open to participants of all sexes, aged 18 Years or older, studying Acute Heart Failure (AHF). Full inclusion and exclusion criteria are listed in the Eligibility Criteria section. Always confirm your eligibility with the research team before applying.

Is NCT07099885 currently recruiting?

Yes, NCT07099885 is actively recruiting participants. Contact the research team at jan.biegus@umw.edu.pl for enrollment information.

Where is the NCT07099885 trial being conducted?

This trial is being conducted at Wroclaw, Poland, Wroclaw, Poland.

Who is sponsoring the NCT07099885 clinical trial?

NCT07099885 is sponsored by Wroclaw Medical University. The trial plans to enroll 90 participants.

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ClinicalMetric — Independent clinical trial intelligence platform. Not affiliated with NIH, ClinicalTrials.gov, the U.S. FDA, or any pharmaceutical company, hospital, or clinical research organization. Trial data is sourced from ClinicalTrials.gov for informational purposes only and does not constitute medical advice. Do not make any treatment, enrollment, or health decisions based solely on information found here — always consult a qualified healthcare professional. Full Disclaimer  ·  Last Reviewed: July 2026  ·  Data Methodology