Ultrasound could spot hidden fluid that sends heart patients back to hospital
NCT ID NCT07682298
First seen Jul 02, 2026 · Last updated Jul 08, 2026 · Updated 2 times
Summary
This study tests whether ultrasound scans can detect leftover fluid in the lungs and veins of people hospitalized for heart failure. About 580 adults will get scans at several points during their stay, but doctors won't see the results. Researchers will then track who is readmitted or dies within 90 days to see if the scans predict problems better than standard exams.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- What this could lead to
- If successful, this could help doctors identify which heart failure patients need more treatment before leaving the hospital, potentially reducing readmissions.
- What could go wrong
- This is an observational study, not a treatment trial, so it won't directly improve outcomes. The ultrasound method may not prove better than standard checks.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 580 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Feb 2026
- Expected to finish
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Nov 2028
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Inclusion criteria Age ≥18 years admitted with ADHF, treated with intravenous loop diuretics (≥40 mg furosemide or an equivalent dose of another loop diuretic) during admission, and able to provide written consent will be eligible for inclusion. Clinical evidence of congestion during admission, indicated by ≥1 of the following: pitting peripheral edema, ascites, elevated jugular venous pressure, or radiologic/ultrasound evidence of pulmonary congestion. Exclusion criteria Pregnancy, moribund, solitary kidney, or inability to provide written consent
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: 1. Adults (≥18 years) admitted with ADHF. 2. Clinical evidence of congestion during admission, indicated by ≥1 of the following: pitting peripheral edema, ascites, elevated jugular venous pressure, or radiologic/ultrasound evidence of pulmonary congestion. 3. Treatment with ≥40 mg i.v. furosemide or equivalent dose loop diuretic during admission. Exclusion Criteria: 1. Pregnancy 2. Moribund 3. Solitary kidney 4. Inability to provide written consent
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
3 sites. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
Locations
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Aarhus University Hospital - Department of Cardiology
RECRUITINGAarhus, 8200, Denmark
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Copenhagen University Hospital, Amager and Hvidovre Hospital - Department of Cardiology
NOT_YET_RECRUITINGCopenhagen, 2650, Denmark
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Zealand University Hospital - Department of Cardiology
NOT_YET_RECRUITINGRoskilde, 400, Denmark
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Other studies related to the condition(s) this trial covers.
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- Can a simple score predict heart failure outcomes?
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- A smarter emergency test for heart failure?
- A checklist for the ER: could a one-page guide save lives in acute heart failure?