Literature DB >> 26676168

Rapid screening for sarcopenia.

John E Morley1, Li Cao2.   

Abstract

Entities:  

Keywords:  Muscle mass; Muscle wasting; Rapid screening; Sarcopenia

Year:  2015        PMID: 26676168      PMCID: PMC4670738          DOI: 10.1002/jcsm.12079

Source DB:  PubMed          Journal:  J Cachexia Sarcopenia Muscle        ISSN: 2190-5991            Impact factor:   12.910


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The four major comments of muscle wasting disease are cachexia, sarcopenia, malnutrition and congenital.1,2 Of these, the most common is sarcopenia.3–7 Since sarcopenia is a clinical situation which causes various adverse outcomes, including immobility, falls, disability and death in older people 8–13, 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,14 a number of other definitions have been published.15–18 All these definitions have stressed that sarcopenia should be defined as a loss of muscle function associated with a loss of muscle mass.19–21 This change in definition was necessitated by the recognition that muscle quality and, therefore, muscle performance were not directly related to muscle mass.22 Two factors appear to be responsible for this, viz the fact that sarcopenia is a neuromuscular junction disease23,24 and the infiltration of fat into muscle during the ageing process.25,26 The measurement of muscle mass has classically been done by anthropomorphic measures or dual energy x-ray absorptiometry.27 However, ultrasound, bioelectrical impedance, computed tomography, and magnetic resonance imaging have also been used. Goodman et al.,28 utilizing the NHANES data, suggested that Body Mass Index (BMI) is a reasonable proxy as a skeletal muscle index. Yu et al.29 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.30 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.31 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 ().32,33 Cao et al.34 showed that SARC-F was associated with poor physical performance, grip strength, and hospitalization in the previous 2 years. Woo et al.35 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.36 Woo et al.37 then showed that it could be used prospectively to successfully screen for sarcopenia. Malmstrom et al.38 showed that the SARC-F was a valid tool in three populations viz the Baltimore Longitudinal study, the African American Cohort in St. Louis, and the NHANES population.
Table 1

SARC-F screen for sarcopenia

ComponentQuestionScoring
StrengthHow much difficulty do you have in lifting and carrying 10 pounds?None = 0
Some = 1
A lot or unable = 2
Assistance in walkingHow much difficulty do you have walking across a room?None = 0
Some = 1
A lot, use aids, or unable = 2
Rise from a chairHow much difficulty do you have transferring from a chair or bed?None = 0
Some = 1
A lot or unable
without help = 2
Climb stairsHow much difficulty do you have climbing a flight of ten stairs?None = 0
Some = 1
A lot or unable = 2
FallsHow many times have you fallen in the last year?None = 0
1–3 falls = 1
4 or more falls = 2
SARC-F screen for sarcopenia Sarcopenia is a major component of physical frailty in older persons.39 The simple FRAIL score has been shown to be a valid measure for detecting frailty.40–42 Between 40 and 70% of persons who are frail are also sarcopenic.37,43 Thus, it makes sense to screen for both frailty and sarcopenia in older individuals as is done in the Rapid Geriatric Assessment (RGA).44 In addition, middle aged persons with diabetes mellitus,45–47 chronic obstructive pulmonary disease,48,49 and hip fracture50,51 are at high risk of having sarcopenia and therefore should be screened. The accumulating evidence shows that sarcopenia could be alleviated by resistance exercise,52–55 leucine enriched essential amino acids,56–58 and vitamin D.59 New promising drugs for sarcopenia are in development. 59 Given that we have a successful treatment which enhances outcome for sarcopenia, it would seem that utilizing the SARC-F, which takes under 15 s to do, to screen older persons and those with specific diseases with a high propensity to become sarcopenic, is an imminently sensible approach to prevent disability and hospitalization in older persons. The importance of recognizing and treating sarcopenia has been recognized by providing an ICD-10 code for sarcopenia.
  55 in total

1.  Sarcopenia with limited mobility: an international consensus.

Authors:  John E Morley; Angela Marie Abbatecola; Josep M Argiles; Vickie Baracos; Juergen Bauer; Shalender Bhasin; Tommy Cederholm; Andrew J Stewart Coats; Steven R Cummings; William J Evans; Kenneth Fearon; Luigi Ferrucci; Roger A Fielding; Jack M Guralnik; Tamara B Harris; Akio Inui; Kamyar Kalantar-Zadeh; Bridget-Anne Kirwan; Giovanni Mantovani; Maurizio Muscaritoli; Anne B Newman; Filippo Rossi-Fanelli; Giuseppe M C Rosano; Ronenn Roubenoff; Morris Schambelan; Gerald H Sokol; Thomas W Storer; Bruno Vellas; Stephan von Haehling; Shing-Shing Yeh; Stefan D Anker
Journal:  J Am Med Dir Assoc       Date:  2011-07       Impact factor: 4.669

2.  Sarcopenia combined with FRAX probabilities improves fracture risk prediction in older Chinese men.

Authors:  Ruby Yu; Jason Leung; Jean Woo
Journal:  J Am Med Dir Assoc       Date:  2014-09-24       Impact factor: 4.669

Review 3.  FRAX(®) with and without bone mineral density.

Authors:  John A Kanis; Eugene McCloskey; Helena Johansson; Anders Oden; William D Leslie
Journal:  Calcif Tissue Int       Date:  2011-11-06       Impact factor: 4.333

4.  Sarcopenia as a risk factor for falls in elderly individuals: results from the ilSIRENTE study.

Authors:  Francesco Landi; Rosa Liperoti; Andrea Russo; Silvia Giovannini; Matteo Tosato; Ettore Capoluongo; Roberto Bernabei; Graziano Onder
Journal:  Clin Nutr       Date:  2012-03-11       Impact factor: 7.324

5.  Low relative skeletal muscle mass (sarcopenia) in older persons is associated with functional impairment and physical disability.

Authors:  Ian Janssen; Steven B Heymsfield; Robert Ross
Journal:  J Am Geriatr Soc       Date:  2002-05       Impact factor: 5.562

6.  Prevalence of sarcopenia in community-dwelling Japanese older adults.

Authors:  Minoru Yamada; Shu Nishiguchi; Naoto Fukutani; Takanori Tanigawa; Taiki Yukutake; Hiroki Kayama; Tomoki Aoyama; Hidenori Arai
Journal:  J Am Med Dir Assoc       Date:  2013-10-03       Impact factor: 4.669

7.  Muscle quantity is not synonymous with muscle quality.

Authors:  Sébastien Barbat-Artigas; Yves Rolland; Bruno Vellas; Mylène Aubertin-Leheudre
Journal:  J Am Med Dir Assoc       Date:  2013-07-27       Impact factor: 4.669

8.  Comparison of frailty indicators based on clinical phenotype and the multiple deficit approach in predicting mortality and physical limitation.

Authors:  Jean Woo; Jason Leung; John E Morley
Journal:  J Am Geriatr Soc       Date:  2012-08-02       Impact factor: 5.562

9.  From muscle wasting to sarcopenia and myopenia: update 2012.

Authors:  Stephan von Haehling; John E Morley; Stefan D Anker
Journal:  J Cachexia Sarcopenia Muscle       Date:  2012-12       Impact factor: 12.910

10.  An evidence-based comparison of operational criteria for the presence of sarcopenia.

Authors:  Thuy-Tien Dam; Katherine W Peters; Maren Fragala; Peggy M Cawthon; Tamara B Harris; Robert McLean; Michelle Shardell; Dawn E Alley; Anne Kenny; Luigi Ferrucci; Jack Guralnik; Douglas P Kiel; Steve Kritchevsky; Maria T Vassileva; Stephanie Studenski
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2014-05       Impact factor: 6.053

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  23 in total

1.  Nutritional status in the elderly: misbeliefs, misconceptions and the real world.

Authors:  Mitja Lainscak; Cristiana Vitale
Journal:  Wien Klin Wochenschr       Date:  2016-12       Impact factor: 1.704

Review 2.  Muscle wasting in heart failure : The role of nutrition.

Authors:  Masakazu Saitoh; Marcelo Rodrigues Dos Santos; Stephan von Haehling
Journal:  Wien Klin Wochenschr       Date:  2016-10-19       Impact factor: 1.704

3.  Editorial: Defining Undernutrition (Malnutrition) in Older Persons.

Authors:  J E Morley
Journal:  J Nutr Health Aging       Date:  2018       Impact factor: 4.075

4.  Editorial: Geriatrics in the 21st Century.

Authors:  B Vellas; J E Morley
Journal:  J Nutr Health Aging       Date:  2018       Impact factor: 4.075

Review 5.  Publication trends in cachexia and sarcopenia in elderly heart failure patients.

Authors:  Jochen Springer; Stefan D Anker
Journal:  Wien Klin Wochenschr       Date:  2016-11-24       Impact factor: 1.704

6.  Treatment of Diabetes in Older Adults: An Endocrine Society* Clinical Practice Guideline.

Authors:  Derek LeRoith; Geert Jan Biessels; Susan S Braithwaite; Felipe F Casanueva; Boris Draznin; Jeffrey B Halter; Irl B Hirsch; Marie E McDonnell; Mark E Molitch; M Hassan Murad; Alan J Sinclair
Journal:  J Clin Endocrinol Metab       Date:  2019-05-01       Impact factor: 5.958

Review 7.  Management of Hyperglycemia in Older Adults with Type 2 Diabetes.

Authors:  Gunjan Y Gandhi; Arshag D Mooradian
Journal:  Drugs Aging       Date:  2021-12-18       Impact factor: 3.923

8.  Limitations of SARC-F as a Screening Tool for Sarcopenia in Patients on Hemodialysis.

Authors:  Keigo Imamura; Shohei Yamamoto; Yuta Suzuki; Ryota Matsuzawa; Manae Harada; Shun Yoshikoshi; Atsushi Yoshida; Atsuhiko Matsunaga
Journal:  Nephron       Date:  2021-09-14       Impact factor: 2.847

Review 9.  Frailty and sarcopenia in elderly.

Authors:  John E Morley
Journal:  Wien Klin Wochenschr       Date:  2016-09-26       Impact factor: 1.704

10.  SARC-F as a Useful Tool for Screening Sarcopenia in Elderly Patients with Hip Fractures.

Authors:  Y-C Ha; C Won Won; M Kim; K-J Chun; J-I Yoo
Journal:  J Nutr Health Aging       Date:  2020       Impact factor: 4.075

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