Evaluation of Bedside Methods to Measure Muscularity in Critically Ill Patients

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

50 participants

Study Classification

OBSERVATIONAL

Study Start Date

2017-01-31

Study Completion Date

2019-03-31

Brief Summary

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Muscle wasting is a significant problem in critically ill patients, with reported losses of a half to three percent per day over the first ten days (for an average 70kg person this equates to 3 to 20kg of muscle loss). Low skeletal muscle mass at admission to the intensive care unit (ICU) and the loss of lean tissue have been associated with negative clinical outcomes, including increased incidence of infections, length of stay, mortality and muscle weakness. It is therefore crucial that technology is utilised to: 1) identify ICU patients with low muscularity on admission, 2) to help understand the factors impacting muscle loss and to 3) assess the effectiveness of interventions aimed at maintaining skeletal muscle mass in this population.

The measurement of lean body mass in patients admitted to the ICU is challenging however, due to the large fluid shifts that occur in this population and logistical issues in moving patients to specialised machinery for body composition analysis. Currently, there is no validated method for accurately assessing a patient's muscle mass at the bedside in the intensive care setting. It is therefore important to investigate the accuracy, feasibility and reliability of bedside methods such as subjective physical assessment of muscle mass, mid arm muscle circumference, ultrasound and bioimpedance analysis to assess muscularity in this population who are primarily bedbound. In order to do this, a critical comparison is required between these methods and muscularity assessed by a "reference" body composition method, such computed tomography (CT) image analysis. Briefly, quantification of skeletal muscle at the abdomen area utilising abdominal CT images has been shown to be highly representative of whole body skeletal muscle volume.

We wish to conduct a pilot, feasibility study (n= 50), which will recruit patients who have a CT scan (containing abdomen area), performed for clinical purposes. Our primary aim will be to investigate whether muscularity assessed with non-invasive bedside methods (ultrasound, bioimpedance analysis, SGA physical assessment, mid arm muscle circumference) are correlated with skeletal muscle mass quantified by a "reference method" (CT image analysis).

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Detailed Description

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Aim Our primary aim is to investigate whether muscularity assessed via bedside ultrasound is correlated with a reference method for estimating whole body skeletal muscle mass (CT image analysis) in the first few days of critical illness.

Our secondary aims are

* To investigate whether muscularity assessed via other bedside methods (bioimpedance spectroscopy, subjective physical assessment and mid arm muscle circumference) are correlated with a reference method for estimating whole body skeletal muscle mass (CT image analysis) in critically ill patients.
* To better understand the association between measured resting energy expenditure and muscularity in the critically ill.
* To observe changes in skeletal muscle mass (in a sub set of patients who have two CT scans) and the impact various factors, including energy and protein delivery has on these changes.

Conditions

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Critical Illness

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Interventions

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Observational cohort

Evaluation of bedside methods to measure muscularity in critically ill patients

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Have had a CT scan of the L3 vertebra performed for clinical reasons ≤24 hours before or ≤72 hours after ICU admission

Exclusion Criteria

* CT scan performed \>48hrs ago
* Death is imminent or deemed highly likely in the next 96 hours
* Are known to be pregnant
* Treating clinician does not believe the study to be in the best interest of the patient
* It is not possible to image two or more muscle groups via ultrasound (i.e. due to trauma, burns, wounds)

Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No