Rapid screening for sarcopenia

The four major comments of muscle wasting disease are cachexia, sarcopenia, malnutrition and congenital. Of these, themost common is sarcopenia. Since sarcopenia is a clinical situation which causes various adverse outcomes, including immobility, falls, disability and death in older people , the importance of recognizing and treating sarcopenia has been recognized by providing an ICD-10 code for sarcopenia. Since the publication of the European Working Group consensus paper on sarcopenia in older persons, a number of other definitions have been published. All these definitions have stressed that sarcopenia should be defined as a loss of muscle function associated with a loss of muscle mass. This change in definition was necessitated by the recognition that muscle quality and, therefore, muscle performance were not directly related to muscle mass. Two factors appear to be responsible for this, viz the fact that sarcopenia is a neuromuscular junction disease and the infiltration of fat into muscle during the ageing process. The measurement of muscle mass has classically been done by anthropomorphic measures or dual energy x-ray absorptiometry. However, ultrasound, bioelectrical impedance, computed tomography, and magnetic resonance imaging have also been used. Goodman et al., utilizing the NHANES data, suggested that Body Mass Index (BMI) is a reasonable proxy as a skeletal muscle index. Yu et al. utilized equations using BMI, weight, and age and showed that these are excellent predictive equations for skeletal muscle mass. A recent review of methods to assess sarcopenia found that for epidemiological studies, bioelectrical impedance for measuring muscle mass coupled with either gait speed or grip dynamometry were the most simple methods to identify sarcopenia based on the modern definitions. Recently it was shown that the questions used in the FRAX as part of diagnosis fracture risk had excellent specificity and sensitivity in recognizing risk when used without measuring bone mineral density. This raised the possibility that persons with sarcopenia could be identified by a simple questionnaire. This led to the development of SARC-F as a simple questionnaire to rapidly diagnose sarcopenia (Table 1). Cao et al. showed that SARC-F was associated with poor physical performance, grip strength, and hospitalization in the previous 2 years. Woo et al. showed that SARC-F has excellent specificity when identifying persons with sarcopenia diagnosed by either the European or Asian working group definitions. Further, the Hong Kong group showed that SARC-F had similar predictive value for walking speed, physical limitation, hospitalization, and mortality as the Foundation of the National Institutes of Health and four other consensus definitions for sarcopenia. Woo et al. then showed that it could be used ED ITOR IAL