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Original Study| Volume 19, ISSUE 3, P223-228, March 2018

A 3-Item SARC-F

  • Jean Woo
    Correspondence
    Address correspondence to Jean Woo MD, Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, N.T., Hong Kong.
    Affiliations
    Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong

    The Chinese University of Hong Kong Jockey Club Institute of Aging, Shatin, Hong Kong
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  • Ruby Yu
    Affiliations
    Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong

    The Chinese University of Hong Kong Jockey Club Institute of Aging, Shatin, Hong Kong
    Search for articles by this author
  • Jason Leung
    Affiliations
    The Chinese University of Hong Kong Jockey Club Center for Osteoporosis Care and Control, Shatin, Hong Kong
    Search for articles by this author
Published:October 24, 2017DOI:https://doi.org/10.1016/j.jamda.2017.09.006

      Abstract

      Objectives

      To examine individual items of the SARC-F in predicting adverse outcomes.

      Design

      Prospective cohort study.

      Setting

      Community-dwelling older people in Hong Kong SAR China.

      Participants

      A total of 4000 men and women aged 65 years and over, stratified in 3 age groups (65–69, 70–74, 75+ years of age).

      Measurements

      Information was collected by questionnaire, on sociodemographic details, lifestyle habits, cognitive function using the Mini-Mental State Examination, depression using the Geriatric Depression Scale, SARC-F, and physical limitation in daily activities. Physical performance measures include chair stand and walking speed. Adverse outcomes included physical limitation, lower limb strength using repeated chair stands, slow walking speed, length of hospital stay, and mortality. Predictive ability of each item of the SARC-F was assessed using receiver operating characteristic curve. Stepwise model was used to assess incremental predictive ability.

      Results

      The overall ranking of the questions in order of highest predictability in terms of area under the curve values were strength, climb stairs, assistance in walking, rise from a chair, and falls. The first 3 questions individually predicted all the adverse outcomes, and in stepwise models of the individual questions, a combination of these 3 questions gave the highest area under the curve values.

      Conclusions

      The 5-item SARC-F may be shortened to 3 items (strength, climb stairs, and assistance in walking) in rapid screening for sarcopenia in clinical practice.

      Keywords

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      References

        • Anker S.D.
        • Morley J.E.
        • von Haehling S.
        Welcome to the ICD-10 code for sarcopenia.
        J Cachexia Sarcopenia Muscle. 2016; 7: 512-514
        • Fielding R.A.
        • Vellas B.
        • Evans W.J.
        • et al.
        Sarcopenia: An undiagnosed condition in older adults. Current consensus definition: Prevalence, etiology, and consequences. International Working Group on Sarcopenia.
        J Am Med Dir Assoc. 2011; 12: 249-256
        • Morley J.E.
        • Abbatecola A.M.
        • Argiles J.M.
        • et al.
        Sarcopenia with limited mobility: An international consensus.
        J Am Med Dir Assoc. 2011; 12: 403-409
        • Alley D.E.
        • Shardell M.D.
        • Peters K.W.
        • et al.
        Grip strength cutpoints for the identification of clinically relevant weakness.
        J Gerontol A Biol. 2014; 69: 559-566
        • Cruz-Jentoft A.J.
        • Baeyens J.P.
        • Bauer J.M.
        • et al.
        Sarcopenia: European consensus on definition and diagnosis.
        Age Ageing. 2010; 39: 412-423
        • Chen L.K.
        • Liu L.K.
        • Woo J.
        • et al.
        Sarcopenia in Asia: Consensus report of the Asian Working Group for Sarcopenia.
        J Am Med Dir Assoc. 2014; 15: 95-101
        • Woo J.
        • Arai H.
        • Ng T.P.
        • et al.
        Ethnic and geographic variations in muscle mass, muscle strength and physical performance measures.
        Eur Geriatr Med. 2014; 5: 155-164
        • Malmstrom T.K.
        • Morley J.E.
        SARC-F: A simple questionnaire to rapidly diagnose sarcopenia.
        J Am Med Dir Assoc. 2013; 14: 531-532
        • Woo J.
        • Leung J.
        • Morley J.E.
        Validating the SARC-F: A suitable community screening tool for sarcopenia?.
        J Am Med Dir Assoc. 2014; 15: 630-634
        • Landi F.
        • Martone A.M.
        • Calvani R.
        • et al.
        Sarcopenia risk screening tool: A new strategy for clinical practice.
        J Am Med Dir Assoc. 2014; 15: 613-614
        • Morley J.E.
        • Malmstrom T.K.
        Can sarcopenia be diagnosed without measurements?.
        Eur Geriatr Med. 2014; 5: 291-293
        • Parra-Rodriguez L.
        • Szlejf C.
        • Garcia-Gonzalez A.I.
        • et al.
        Cross-cultural adaptation and validation of the Spanish-language version of the SARC-F to assess sarcopenia in Mexican community-dwelling older adults.
        J Am Med Dir Assoc. 2016; 17: 1142-1146
        • Malmstrom T.K.
        • Miller D.K.
        • Simonsick E.M.
        • et al.
        SARC-F: A symptom score to predict persons with sarcopenia at risk for poor functional outcomes.
        J Cachexia Sarcopenia Muscle. 2016; 7: 28-36
        • Woo J.
        • Leung J.
        • Morley J.E.
        Defining sarcopenia in terms of incident adverse outcomes.
        J Am Med Dir Assoc. 2015; 16: 247-252
        • Cao L.
        • Chen S.
        • Zou C.
        • et al.
        A pilot study of the SARC-F scale on screening sarcopenia and physical disability in the Chinese older people.
        J Nutr Health Aging. 2014; 18: 277-283
        • Kemmler W.
        • Sieber C.
        • Freiberger E.
        • et al.
        The SARC-F questionnaire: Diagnostic overlap with established sarcopenia definitions in older German men with sarcopenia.
        Gerontology. 2017; 63: 411-416
        • Rolland Y.
        • Dupuy C.
        • Abellan Van Kan G.
        • et al.
        Sarcopenia screened by the SARC-F questionnaire and physical performances of elderly women: A cross-sectional study.
        J Am Med Dir Assoc. 2017; 18: 848-852
        • Barbosa-Silva T.G.
        • Menezes A.M.
        • Bielemann R.M.
        • et al.
        Enhancing SARC-F: Improving sarcopenia screening in the clinical practice.
        J Am Med Dir Assoc. 2016; 17: 1136-1141
        • Wu T.Y.
        • Liaw C.K.
        • Chen F.C.
        • et al.
        Sarcopenia screened with SARC-F questionnaire is associated with quality of life and 4-year mortality.
        J Am Med Dir Assoc. 2016; 17: 1129-1135
        • Beaudart C.
        • McCloskey E.
        • Bruyere O.
        • et al.
        Sarcopenia in daily practice: Assessment and management.
        BMC Geriatr. 2016; 16: 170
        • Liccini A.P.
        • Malmstrom T.K.
        Frailty and sarcopenia as predictors of adverse health outcomes in persons with diabetes mellitus.
        J Am Med Dir Assoc. 2016; 17: 846-851
        • Tan L.F.
        • Lim Z.Y.
        • Choe R.
        • et al.
        Screening for frailty and sarcopenia among older persons in medical outpatient clinics and its associations with healthcare burden.
        J Am Med Dir Assoc. 2017; 18: 583-587
        • Tanaka S.
        • Kamiya K.
        • Hamazaki N.
        • et al.
        Utility of SARC-F for assessing physical function in elderly patients with cardiovascular disease.
        J Am Med Dir Assoc. 2017; 18: 176-181
        • Wong S.Y.
        • Kwok T.
        • Woo J.
        • et al.
        Bone mineral density and the risk of peripheral arterial disease in men and women: Results from Mr. and Ms Os, Hong Kong.
        Osteoporos Int. 2005; 16: 1933-1938
        • Folstein M.F.
        • Folstein S.E.
        • Mchugh P.R.
        Mini-Mental State—Practical method for grading cognitive state of patients for clinician.
        J Psychiatr Res. 1975; 12: 189-198
        • Katzman R.
        • Zhang M.Y.
        • Ouangyaqu
        • et al.
        A Chinese version of the Mini-Mental State Examination—Impact of Illiteracy in a Shanghai Dementia Survey.
        J Clin Epidemiol. 1988; 41: 971-978
        • Yesavage J.A.
        • Brink T.L.
        • Rose T.L.
        • et al.
        Development and validation of a geriatric depression screening scale: A preliminary report.
        J Psychiatr Res. 1982; 17: 37-49
        • Lee H.B.
        • Chiu H.F.K.
        • Kwok W.Y.
        • et al.
        Chinese elderly and the GDS short form: A preliminary study.
        Clin Gerontol. 1993; 14: 37-39
        • Rice M.E.
        • Harris G.T.
        Comparing effect sizes in follow-up studies: ROC area, Cohen's d, and r.
        Law Hum Behav. 2005; 29: 615-620
        • Sheikh J.I.
        • Yesavage J.A.
        Clinical Gerontology: A Guide to Assessment and Ontervention.
        Howarth Press Inc, New York1986
        • Pocklington C.
        • Gilbody S.
        • Manea L.
        • et al.
        The diagnostic accuracy of brief versions of the Geriatric Depression Scale: A systematic review and meta-analysis.
        Int J Geriatr Psychiatry. 2016; 31: 837-857

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