ClinicalTrials.gg
RecruitingNCT07099885SAFER-DHFUpdated Aug 12, 2025

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

An interventional study of Standard of Care (SOC) and Algorithhm-based decongestion in Acute Heart Failure (AHF) and Congestion, Venous, sponsored by Wroclaw Medical University. Recruiting at 2 sites in Poland. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2025-08-12.

Sponsored by Wroclaw Medical University · Not applicable, Interventional, and Treatment

From the registry’s dates

  • Started Aug 2025; still recruiting 1 year 3 months later.
Phase
Not applicable
Study type
Interventional
Enrollment
90
Allocation
Randomized
Ages
18 Years and older
Sex
All
01

Study 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.

02

Conditions studied

  • Acute Heart Failure (AHF)
  • Congestion, Venous

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Keywords

  • decongestion
  • diuretics
  • algorithm
  • acute heart failure
03

In context

Hyperemia

98 studies on the registry are indexed under Hyperemia; 44 are open to participants now.

This study's planned enrollment of 90 is above the median of 68 across 51 interventional studies indexed under Hyperemia.

Browse Hyperemia studies →

Lead sponsor

Wroclaw Medical University is the lead sponsor of 99 studies on the registry; 29 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Adult patients over 18 years of age who provide
  • 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

Exclusion Criteria:

  • End-stage kidney disease requiring renal replacement therapy
  • Hemodynamic instability requiring inotropic support
  • Active infection requiring intravenous antibiotic therapy
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

05

Study design

Phase
Not applicable
Primary purpose
Treatment
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Single (Participant)
Enrollment
90 participants (estimated)

Study arms

  • Experimental
    Algorithm based decongestion

    The patient will receive first dose of intravenous loop diuretic determined per the attending physician. Two hours after diuretic administration, a urine sample will be collected to measure sodium and creatinine concentrations. Using these values, the 6-hour urine output will be estimated with the aid of the machine learning, urine output prediction tool. This estimated diuresis will guide the diuretic therapy plan for the first 24 hours using the adaptative furosemide dosing. On the second day, the procedure will be repeated.

    Diagnostic Test: Algorithhm-based decongestion

  • Active comparator
    Standard of care

    Diagnostic Test: Standard of Care (SOC)

Interventions

  • Diagnostic testStandard of Care (SOC)

    Diuretic treatment per attending physician.

  • Diagnostic testAlgorithhm-based decongestion

    Patient will receive standarized furosemide dosing based on the result of the algorithm-estimated 6h urine output (profiles of diuretic response).

06

What researchers measure

Primary outcomes

  1. Cumulative diuresis over 48 hours.

    Total urine output during the 48-hour duration of the study.

    Time frame: 48 hours

Secondary outcomes

  1. Cumulative diuresis during first 24h of the study.

    The total urine output during the first 24 hours of the study.

    Time frame: 24 hours

  2. Cumulative diuresis on the second 24h of the study.

    The total urine output during the second 24 hours of the study.

    Time frame: 48 hours

  3. Cummulative natriuresis over 48 hours of the study.

    The total amount of sodium excreted in the urine during the 48-hour duration of the study.

    Time frame: 48 hours

  4. Diuresis calculated per dose of loop diuretic over 48 hours of the study.

    The volume of urine output relative to the total dose of loop diuretic administered during the study period.

    Time frame: 48 hours

  5. Weight change at 24 hours.

    The difference in body weight measured at 24 hours compared to baseline.

    Time frame: 24 hours

  6. Weight change at 48 hours.

    The difference in body weight measured at 48 hours compared to baseline.

    Time frame: 48 hours

  7. Total length of hospitalization.

    This refers to the total length of the hospital stay, measured in days, from admission to discharge.

    Time frame: Up to 60 days

  8. Percentage of patients accurately red-flagged.

    Patients with an estimated 6-hour urine output of less than 900 ml will be red-flagged. This outcome indicates the proportion of patients who were correctly identified (red-flagged) as poor diuretic responders.

    Time frame: 48 hours

07

Study locations

2 of 2 sites recruiting
08

References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

09

Timeline

Tracking since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reached

Started Aug 2025 (actual). Primary completion is estimated for Dec 2026, 16 months after the start.

How these figures are worked out, and which studies are left out of them.

Registered
Jul 15, 2025
First posted
Aug 1, 2025
StartActual
Aug 1, 2025
Primary completionEst.
Dec 31, 2026
CompletionEst.
Jan 31, 2027
Last update
Aug 12, 2025
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
No changes since tracking began. The registry record was last updated on Aug 12, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07099885
Lead sponsor
Wroclaw Medical University
Responsible party
Jan Biegus, MD, PhD (Professor, Wroclaw Medical University) — Principal investigator
First posted
Aug 1, 2025
Start date
Aug 1, 2025
Primary completion
Dec 31, 2026 (estimated)
Completion
Jan 31, 2027 (estimated)
Last update
Aug 12, 2025

Study contacts

Jan Biegus, MD, PhD
Contact
jan.biegus@umw.edu.pl
71 736 42 05 ext. 0048
Gracjan Iwanek, MD
Contact
gracjan.iwanek@student.umw.edu.pl
71 733 11 12 ext. 0048

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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