Plain-English translation of NCT07712198 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
Researchers want to understand muscle loss in patients admitted to the intensive care unit with brain injuries like stroke or bleeding. They'll use artificial intelligence models to predict which patients are at risk of losing muscle mass during their ICU stay. This observational study collects routine medical information, ultrasound images of leg muscle, and blood tests to help improve early warning systems.
Patients with serious brain injuries often lose muscle mass very quickly while in the ICU, which can slow their recovery. By developing better prediction tools using artificial intelligence, doctors hope to identify at-risk patients earlier and potentially prevent or reduce muscle loss.
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As a participant, you would be observed during your routine ICU care over 7 days. On days 0 and 7, a doctor will use an ultrasound machine to measure the thickness of a thigh muscle—this takes just a few minutes and is painless. Blood samples will be drawn on days 0, 3, and 7 as part of standard ICU monitoring. All other information comes from your regular medical care, so there are no extra procedures or treatment changes required.
AI-generated summary from trial data · Jul 18, 2026 · Not medical advice
Turkey (Türkiye)
Sponsor
Trabzon Kanuni Education and Research Hospital
Enrollment target
~100 participants
Started
January 2026
Primary completion
August 2026
Age range
18 Years – 65 Years
Last updated on clinicaltrials.gov in July 2026.
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Central contact
KİRAZ TEKİN GÜNAYDIN, MD
Trabzon Kanuni Education and Research Hospital
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