Al Prediction of Sarcopenia Risk in Neurocritical ICU Patients

Status: Recruiting. It is looking for patients now. Talk to your care team about whether it fits you.

The trial team last updated this record on .

What the trial team says

This prospective observational study aims to evaluate sarcopenia in intensive care patients with intracranial pathologies using ultrasound and to compare the predictive performance of different artificial intelligence models. Rectus femoris muscle thickness will be measured by ultrasound on ICU admission (Day 0) and Day 7. Prealbumin levels will be assessed on Days 0, 3, and 7, and the modified Nutrition Risk in Critically Ill (mNUTRIC) score will be calculated on the first day of ICU admission. Clinical, laboratory, and ultrasonographic data will be integrated into different artificial intelligence models to predict sarcopenia status on Day 7. The study aims to determine the effectiveness of artificial intelligence in the early identification of sarcopenia and to support future clinical decision-making in intensive care practice.

From the trial's own listing on ClinicalTrials.gov.

Key facts

Registry number
NCT07712198
Conditions studied
Intracerebral Hemorrhage, Subarachnoid Hemorrhage, Subdural Hematoma, Epidural Hematoma, Ischemic Stroke, Brain Neoplasms

Where it is running

This trial lists 1 site.

How to use this

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See the full listing on ClinicalTrials.gov

This page is built from the trial's listing on ClinicalTrials.gov, a service of the U.S. National Library of Medicine. That listing is the authority, and it may have changed since we last read it. We do not run this trial and we cannot enroll you in it.