Literature DB >> 33481872

Practical screening tools for sarcopenia in patients with systemic sclerosis.

Vanessa Hax1,2, Rafaela Cavalheiro do Espírito Santo2, Leonardo Peterson Dos Santos2, Mirian Farinon2, Marianne Schrader de Oliveira2, Guilherme Levi Três2, Andrese Aline Gasparin1,2, Nicole Pamplona Bueno de Andrade1,2, Markus Bredemeier3, Ricardo Machado Xavier1,2, Rafael Mendonça da Silva Chakr1,2.   

Abstract

INTRODUCTION: In view of the method of diagnosing sarcopenia being complex and considered to be difficult to introduce into routine practice, the European Working Group on Sarcopenia in Older People (EWGSOP) recommends the use of the SARC-F questionnaire as a way to introduce assessment and treatment of sarcopenia into clinical practice. Only recently, some studies have turned their attention to the presence of sarcopenia in systemic sclerosis (SSc).There is no data about performance of SARC-F and other screening tests for sarcopenia in this population.
OBJECTIVE: To compare the accuracy of SARC-F, SARC-CalF, SARC-F+EBM, and Ishii test as screening tools for sarcopenia in patients with SSc.
METHODS: Cross-sectional study of 94 patients with SSc assessed by clinical and physical evaluation. Sarcopenia was defined according to the revised 2019 EWGSOP diagnostic criteria (EWGSOP2) with assessments of dual-energy X-ray absorptiometry, handgrip strength, and short physical performance battery (SPPB). As case finding tools, SARC-F, SARC-CalF, SARC-F+EBM and Ishii test were applied, including data on calf circumference, body mass index, limitations in strength, walking ability, rising from a chair, stair climbing, and self reported number of falls in the last year. The screening tests were evaluated through receiver operating characteristic (ROC) curves. Standard measures of diagnostic accuracy were computed using the EWGSOP2 criteria as the gold standard for diagnosis of sarcopenia.
RESULTS: Sarcopenia was identified in 15 (15.9%) patients with SSc by the EWGSOP2 criteria. Area under the ROC curve of SARC-F screening for sarcopenia was 0.588 (95% confidence interval (CI) 0.420-0.756, p = 0.283). The results of sensitivity, specificity, positive likelihood ratio (+LR), negative likelihood ratio (-LR) and diagnostic Odds Ratio (DOR) with the EWGSOP2 criteria as the gold standard were 40.0% (95% CI, 19.8-64.2), 81.0% (95% CI, 71.0-88.1), 2.11 (95% CI, 0.98-4.55), 0.74 (95% CI, 0.48-1.13) and 2.84 (95% CI, 0.88-9.22), respectively. SARC-CalF and SARC-F+EBM showed better sensitivity (53.3%, 95% CI 30.1-75.2 and 60.0%, 95% CI 35.7-80.2, respectively) and specificity (84.8%, 95% CI 75.3-91.1 and 86.1%, 95% CI 76.8-92.0, respectively) compared with SARC-F. The best sensitivity was obtained with the Ishii test (86.7%, 95% CI 62.1-96.3), at the expense of a small loss of specificity (73.4%, 95% CI 62.7-81.9). Comparing the ROC curves, SARC-F performed worse than SARC-CalF, SARC-F+EBM and Ishii test as a sarcopenia screening tool in this population (AUCs 0.588 vs. 0.718, 0.832, and 0.862, respectively). Direct comparisons between tests revealed differences only between SARC-F and Ishii test for sensitivity (p = 0.013) and AUC (p = 0.031).
CONCLUSION: SARC-CalF, SARC-F+EBM, and Ishii test performed better than SARC-F alone as screening tools for sarcopenia in patients with SSc. Considering diagnostic accuracy and feasibility aspects, SARC-F+EBM seems to be the most suitable screening tool to be adopted in routine care of patients with SSc.

Entities:  

Year:  2021        PMID: 33481872      PMCID: PMC7822499          DOI: 10.1371/journal.pone.0245683

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  35 in total

1.  SARC-F: a simple questionnaire to rapidly diagnose sarcopenia.

Authors:  Theodore K Malmstrom; John E Morley
Journal:  J Am Med Dir Assoc       Date:  2013-06-25       Impact factor: 4.669

2.  2013 classification criteria for systemic sclerosis: an American College of Rheumatology/European League against Rheumatism collaborative initiative.

Authors:  Frank van den Hoogen; Dinesh Khanna; Jaap Fransen; Sindhu R Johnson; Murray Baron; Alan Tyndall; Marco Matucci-Cerinic; Raymond P Naden; Thomas A Medsger; Patricia E Carreira; Gabriela Riemekasten; Philip J Clements; Christopher P Denton; Oliver Distler; Yannick Allanore; Daniel E Furst; Armando Gabrielli; Maureen D Mayes; Jacob M van Laar; James R Seibold; Laszlo Czirjak; Virginia D Steen; Murat Inanc; Otylia Kowal-Bielecka; Ulf Müller-Ladner; Gabriele Valentini; Douglas J Veale; Madelon C Vonk; Ulrich A Walker; Lorinda Chung; David H Collier; Mary Ellen Csuka; Barri J Fessler; Serena Guiducci; Ariane Herrick; Vivien M Hsu; Sergio Jimenez; Bashar Kahaleh; Peter A Merkel; Stanislav Sierakowski; Richard M Silver; Robert W Simms; John Varga; Janet E Pope
Journal:  Arthritis Rheum       Date:  2013-10-03

3.  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

4.  Screening Accuracy of SARC-F Combined With Calf Circumference for Sarcopenia in Older Adults: A Diagnostic Meta-Analysis.

Authors:  Yihan Mo; Xin Dong; Xiu-Hua Wang
Journal:  J Am Med Dir Assoc       Date:  2019-10-28       Impact factor: 4.669

5.  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

6.  Sarcopenia in systemic sclerosis: the impact of nutritional, clinical, and laboratory features.

Authors:  Claudio Corallo; Antonella Fioravanti; Sara Tenti; Gianluca Pecetti; Ranuccio Nuti; Nicola Giordano
Journal:  Rheumatol Int       Date:  2019-08-01       Impact factor: 2.631

7.  Sarcopenia Screened With SARC-F Questionnaire Is Associated With Quality of Life and 4-Year Mortality.

Authors:  Tai-Yin Wu; Chen-Kun Liaw; Fang-Chun Chen; Kuan-Liang Kuo; Wei-Chu Chie; Rong-Sen Yang
Journal:  J Am Med Dir Assoc       Date:  2016-09-22       Impact factor: 4.669

8.  Malnutrition and sarcopenia in a large cohort of patients with systemic sclerosis.

Authors:  C Caimmi; P Caramaschi; A Venturini; E Bertoldo; E Vantaggiato; O Viapiana; M Ferrari; G Lippi; L Frulloni; M Rossini
Journal:  Clin Rheumatol       Date:  2017-12-01       Impact factor: 2.980

9.  Comparing SARC-F with SARC-CalF to Screen Sarcopenia in Community Living Older Adults.

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

10.  A sarcopenia screening test predicts mortality in hospitalized older adults.

Authors:  Tianjiao Tang; Linna Wu; Ling Yang; Jiaojiao Jiang; Qiukui Hao; Birong Dong; Ming Yang
Journal:  Sci Rep       Date:  2018-02-13       Impact factor: 4.379

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  3 in total

Review 1.  Screening Tools for Sarcopenia.

Authors:  Hiroki Nishikawa; Akira Asai; Shinya Fukunishi; Toshihisa Takeuchi; Masahiro Goto; Takeshi Ogura; Shiro Nakamura; Kazuki Kakimoto; Takako Miyazaki; Shuhei Nishiguchi; Kazuhide Higuchi
Journal:  In Vivo       Date:  2021 Nov-Dec       Impact factor: 2.155

2.  Prediction of Physical Frailty in Orthogeriatric Patients Using Sensor Insole-Based Gait Analysis and Machine Learning Algorithms: Cross-sectional Study.

Authors:  Moritz Kraus; Maximilian Michael Saller; Sebastian Felix Baumbach; Carl Neuerburg; Ulla Cordula Stumpf; Wolfgang Böcker; Alexander Martin Keppler
Journal:  JMIR Med Inform       Date:  2022-01-05

Review 3.  The Involvement of Smooth Muscle, Striated Muscle, and the Myocardium in Scleroderma: A Review.

Authors:  Ioana Bratoiu; Alexandra Maria Burlui; Anca Cardoneanu; Luana Andreea Macovei; Patricia Richter; Gabriela Rusu-Zota; Ciprian Rezus; Minerva Codruta Badescu; Andreea Szalontay; Elena Rezus
Journal:  Int J Mol Sci       Date:  2022-10-09       Impact factor: 6.208

  3 in total

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