Al Prediction of Sarcopenia Risk in Neurocritical ICU Patients
Recruiting now
Conditions studied: Intracerebral Hemorrhage, Subarachnoid Hemorrhage, Subdural Hematoma, Epidural Hematoma, Ischemic Stroke, Brain Neoplasms
In brief
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.
Key facts
- Study ID
- NCT07712198
- Run by
- Trabzon Kanuni Education and Research Hospital
- People needed
- 100
- Starts
- 2026-01-01
- Expected to finish
- 2026-08-30
- Last updated by the study team
- 2026-07-17
Who can join
Age: 18 and older, up to 65. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- Age between 18 and 65 years
- Admission to the intensive care unit due to intracranial pathology (intracerebral hemorrhage, epidural hemorrhage, subdural hemorrhage, subarachnoid hemorrhage, intracranial tumors, or ischemic stroke)
- Informed consent obtained from the patient or legally authorized representative
You may not qualify if…
- Age <18 years or >65 years
- Failure to achieve nutritional targets according to ESPEN guidelines
- Palliative care or home care patients
- Morbid obesity (BMI ≥40 kg/m²)
- History of neuromuscular disease
- Lower extremity amputation
- History of trauma affecting the thigh region
- Pregnancy
Where it is running
- Trabzon University Faculty of Medicine, Kanuni Training and Research Hospital, Trabzon, 61080 — Trabzon, Turkey (Türkiye) (enrolling)
Full record on ClinicalTrials.gov
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