NCT lookup

Pull any trial record directly from ClinicalTrials.gov.

AI Based Muscular Ultrasound to Assess Intensive Care Unit-acquired Weakness

CompletedN/A

Sponsor: Jena University Hospital

Conditions: Intensive Care Unit-acquired Weakness, Artifical Intelligence, Ultrasound

Interventions: Neuromuscular Ultrasound

Countries: Germany

The aim of this observational case-control study is to investigate, whether artificial intelligence can detect ultrasound-derived imaging characteristics typical for intensive care unit-acquired weakness. The main questions it aims to answer are: 1. Is the evaluation of specific parameters of neuromuscular ultrasound using AI-based image analysis suitable for detecting and monitoring critically ill ICU patients with ICUAW? 2. Do the results of AI-based ultrasound image analysis correlate with: (A) the severity of ICUAW (B) the visual grading of muscle echogenicity (C) the 30- and 90-day-outcome?

Eligibility overview

Sex: ALL

Age: 18 Years to —

Healthy volunteers: Yes

Study type: OBSERVATIONAL

Eligibility criteria

Inclusion Criteria:

* Patients aged 18 years or above
* Major elective surgery, e.g. cardiothoracic or abdominal surgery
* Expected ICU stay \>1 day postoperatively
* Healthy, age-machted subjects without ICUAW (recruited from staff of the department of anesthesiology and intensive care medicine)

Exclusion Criteria:

* No informed consent
* Emergency surgery
* Previous participation in the same study
* Preexisting neuromuscular disease
* Preexisting central nervous system disease with residual neuromuscular impairment (e.g. cerebral haemorrhage, stroke, brain tumor)
* High-dose glucocorticoid therapy (\>300 mg hydrocortisone or equivalent per day) before or during particiation in the study

Locations (1)

Jena, Thuringia, Germany