From: Nutrition therapy in critical illness: a review of the literature for clinicians
Method | Measurement | Details | Benefits | Limitations |
---|---|---|---|---|
CT image analysis at the abdominal (L3) area | • Muscle CSA (cm2) • Muscle quality (density) (Hounsfield units) | • Specialised software can be used to measure muscle area and density using a CT slice at L3 • Quantification of muscle CSA at L3 is highly correlated to whole body muscle (using scans performed for clinical purposes) | • Provides specific and precise results • Published cut-off values to identify patients with lower than normal muscularity | • Limited for use in patients who have had a CT at L3 area • Specialist training and time required for analysis |
Bioimpedance analysis (multi-frequency or spectroscopy) | • Fat-free mass (kg) • Phase angle (50 kHz) | • Involves application of a weak current at differing frequencies, through electrodes placed on the hands and feet • Total body water, percentage body fat, and fat-free mass are estimated via regression equations (with assumed constants for estimating intra- and extracellular water) • Raw data such as phase angle (which is independent of weight and related to cellular health) may be a predictor of outcome in critically ill populations | • Easy and quick to use • Safe (no radiation involved) | • Fat-free mass estimates are not likely to be reliable in critically ill patients who experience significant fluid shifts • Positioning (separation in limbs) and electrode placement may be challenging in some ICU patients |
Ultrasound | • Muscle thickness (cm) • Muscle CSA (cm2) • Muscle quality (echogenicity) | • Muscle thickness and CSA can be measured at different sites (i.e. quadriceps, upper arm) • Muscle quality can also be assessed using specialist software | • Readily available in most ICUs • Easy, safe, and quick to use | • No consensus on the ideal sites to predict whole body muscle or to monitor changes over time • Role of oedema on measurements is unclear • No widely accepted cut-points to identify patients with low muscularity |