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Updated: Mar 25, 2026

Manual Muscle Testing: A Method of Measuring Extremity Muscle Strength Applied to Critically Ill Patients
Published on: April 12, 2011
Association of the Adductor Pollicis Muscle Thickness With Clinical Outcomes in Intensive Care Unit Patients
Sima Ghorabi1, Hossein Ardehali2, Zohreh Amiri3
1National Nutrition and Food Technology Research Institute, Faculty of Nutrition and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Background:
Different parameters may be used to evaluate the nutrition status of individuals. However, their use in the critically ill is problematic, since the interference of acute disease or therapeutic measures on their results can affect their interpretation. The aim of this study was to assess whether measuring the adductor pollicis muscle is useful in identifying malnutrition and clinical outcomes in the intensive care unit (ICU).
Materials And Methods:
In total, 127 patients were enrolled in this prospective observational study. Serum albumin levels, anthropometrics, adductor pollicis muscle (APM) thickness, and Acute Physiology and Chronic Health Evaluation II (APACHE II) score were measured for each patient upon admission. APM thickness (APMT) was measured while the patient's elbow was flexed at a 90-degree angle and the forearm resting on the patient's torso.
Results:
The dominant and nondominant APMT were significantly correlated with all anthropometric measurements (r = 0.41-0.68, P < .001 and r = 0.42-0.66, P < .001 respectively). Multivariate regression analysis adjusted by other risk factors, including APACHE II score, serum albumin, and age, showed that among all anthropometric variables, the APMT has the highest correlation with mortality (odds ratio [OR], 5.6; 95% confidence interval [CI], 0.02-0.12; P < .001), length of stay >10 days (OR, 11.3; 95% CI, 4.42-29.1; P < .001), and organ failure (OR, 14.5; 95% CI, 6.5-38.4; P < .001).
Conclusions:
The results showed that APMT is a low-cost, reliable, and easy method to assess nutrition status and to predict the patient's outcomes in the ICU.

