Literature DB >> 27650212

Enhancing SARC-F: Improving Sarcopenia Screening in the Clinical Practice.

Thiago Gonzalez Barbosa-Silva1, Ana Maria Baptista Menezes2, Renata Moraes Bielemann2, Theodore K Malmstrom3, Maria Cristina Gonzalez4.   

Abstract

OBJECTIVES: To validate the (Brazilian) Portuguese-translated version of the SARC-F questionnaire and to verify its performance in the separate sarcopenia screening and muscle function evaluation contexts. In addition, by associating SARC-F to an anthropometric measurement (as an estimate of muscle mass), to test for improvements in its sarcopenia screening efficacy.
DESIGN: Cross-sectional study.
SETTING: Urban population of Pelotas, a middle-sized city in Southern Brazil. PARTICIPANTS: Subsample of 179 community-dwelling elderly aged 60 years or older derived from a population-based study (COMO VAI?). MEASUREMENTS: Sarcopenia was evaluated using the European Working Group on Sarcopenia in Older People's diagnostic criteria: dual-energy X-ray absorptiometry, handgrip strength, and walking speed test. Participants also completed SARC-F and their calf circumference (CC) was measured. SARC-F and CC were combined into an original score. The questionnaires' performances were evaluated through receiver operating characteristic curves, sensitivity/specificity analyses, and Pearson χ2.
RESULTS: Sarcopenia was identified in 15 (8.4%) participants by the European Working Group on Sarcopenia in Older People's criteria. Areas under the receiver operating characteristic curves of SARC-F were 0.592 (95% confidence interval (CI) 0.445, 0.739) screening for sarcopenia and 0.779 (95% CI 0.710, 0.846) evaluating muscle function (P < .001). The SARC-F+CC association significantly improved SARC-F's sarcopenia screening performance [area under the curve: 0.736 (95% CI 0.575, 0.897); comparing with SARC-F alone: P = .027]. A substantial improvement in sensitivity was achieved without compromising the remaining parameters.
CONCLUSIONS: Despite the satisfactory performance evaluating muscle function, SARC-F alone has not achieved adequate results as a sarcopenia screening tool. However, the SARC-F+CC association significantly improved SARC-F's sarcopenia screening performance, enabling its use in the clinical practice. Copyright Â
© 2016 AMDA – The Society for Post-Acute and Long-Term Care Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Sarcopenia; body composition; calf circumference; muscle mass; screening; validation study

Mesh:

Year:  2016        PMID: 27650212     DOI: 10.1016/j.jamda.2016.08.004

Source DB:  PubMed          Journal:  J Am Med Dir Assoc        ISSN: 1525-8610            Impact factor:   4.669


  64 in total

1.  Translation and Validation of the Spanish Version of the SARC-F Questionnaire to Assess Sarcopenia in Older People.

Authors:  D Sánchez-Rodríguez; E Marco; V Dávalos-Yerovi; J López-Escobar; M Messaggi-Sartor; C Barrera; N Ronquillo-Moreno; O Vázquez-Ibar; A Calle; M Inzitari; K Piotrowicz; X Duran; F Escalada; J M Muniesa; E Duarte
Journal:  J Nutr Health Aging       Date:  2019       Impact factor: 4.075

2.  Frailty Could Predict Death in Older Adults after Admissionat Emergency Department? A 6-month Prospective Study from a Middle-Income Country.

Authors:  I Aprahamian; G V Aricó de Almeida; C F de Vasconcellos Romanin; T Gomes Caldas; N T Antunes Yoshitake; L Bataglini; S Mori Lin; A Alves Pereira; L Nara Alegrini Longhi; R L Mamoni; J E Martinelli
Journal:  J Nutr Health Aging       Date:  2019       Impact factor: 4.075

3.  Letter to the editor: Case for validated instead of standard cut-offs for SARC-CalF.

Authors:  W S Lim; J Chew; J P Lim; L Tay; N Hafizah; Y Y Ding
Journal:  J Nutr Health Aging       Date:  2019       Impact factor: 4.075

4.  Editorial: Screening for Malnutrition (Undernutrition) in Primary Care.

Authors:  J E Morley
Journal:  J Nutr Health Aging       Date:  2019       Impact factor: 4.075

5.  SARC-F Validation and SARC-F+EBM Derivation in Musculoskeletal Disease: The SPSS-OK Study.

Authors:  N Kurita; T Wakita; T Kamitani; O Wada; K Mizuno
Journal:  J Nutr Health Aging       Date:  2019       Impact factor: 4.075

6.  Assessing the Risk of Sarcopenia in the Elderly: The Mini Sarcopenia Risk Assessment (MSRA) Questionnaire.

Authors:  A P Rossi; R Micciolo; S Rubele; F Fantin; C Caliari; E Zoico; G Mazzali; E Ferrari; S Volpato; M Zamboni
Journal:  J Nutr Health Aging       Date:  2017       Impact factor: 4.075

7.  Editorial: Screening for Sarcopenia.

Authors:  J E Morley; A M Sanford
Journal:  J Nutr Health Aging       Date:  2019       Impact factor: 4.075

8.  International Clinical Practice Guidelines for Sarcopenia (ICFSR): Screening, Diagnosis and Management.

Authors:  E Dent; J E Morley; A J Cruz-Jentoft; H Arai; S B Kritchevsky; J Guralnik; J M Bauer; M Pahor; B C Clark; M Cesari; J Ruiz; C C Sieber; M Aubertin-Leheudre; D L Waters; R Visvanathan; F Landi; D T Villareal; R Fielding; C W Won; O Theou; F C Martin; B Dong; J Woo; L Flicker; L Ferrucci; R A Merchant; L Cao; T Cederholm; S M L Ribeiro; L Rodríguez-Mañas; S D Anker; J Lundy; L M Gutiérrez Robledo; I Bautmans; I Aprahamian; J M G A Schols; M Izquierdo; B Vellas
Journal:  J Nutr Health Aging       Date:  2018       Impact factor: 4.075

9.  Performance of SARC-F in Regard to Sarcopenia Definitions, Muscle Mass and Functional Measures.

Authors:  G Bahat; O Yilmaz; C Kılıç; M M Oren; M A Karan
Journal:  J Nutr Health Aging       Date:  2018       Impact factor: 4.075

10.  Identifying Sarcopenia in Female Long-Term Care Residents: A Comparison of Current Guidelines.

Authors:  Mary P Kotlarczyk; Subashan Perera; David A Nace; Neil M Resnick; Susan L Greenspan
Journal:  J Am Geriatr Soc       Date:  2017-11-20       Impact factor: 5.562

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