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Al Prediction of Sarcopenia Risk in Neurocritical ICU Patients

NCT07712198 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 100

Last updated 2026-07-17

No results posted yet for this study

Summary

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.

Conditions

  • Intracerebral Hemorrhage, Subarachnoid Hemorrhage, Subdural Hematoma, Epidural Hematoma, Ischemic Stroke, Brain Neoplasms

Interventions

OTHER

Prospective Observational Assessment

Prospective observational assessment including rectus femoris ultrasonography, prealbumin measurements, mNUTRIC scoring, and collection of routine clinical data. No experimental intervention or treatment modification will be performed.

Sponsors & Collaborators

  • Trabzon Kanuni Education and Research Hospital

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
65 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-01-01
Primary Completion
2026-08-30
Completion
2026-08-30

Countries

  • Turkey (Türkiye)

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07712198 on ClinicalTrials.gov