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

Objectives To validate the SARC-F questionnaire for sarcopenia screening in musculoskeletal disease setting, and to assess improvements in diagnostic accuracy by adding “EBM” (elderly and body mass index information) to the SARC-F. Design Diagnostic accuracy study. Setting and Participants The cente...

Full description

Saved in:
Bibliographic Details
Published in:The Journal of nutrition, health & aging health & aging, 2019-08, Vol.23 (8), p.732-738
Main Authors: Kurita, Noriaki, Wakita, T., Kamitani, T., Wada, O., Mizuno, K.
Format: Article
Language:English
Subjects:
Accuracy
Aged
Aged, 80 and over
Aging
Body mass index
Cross-Sectional Studies
Diagnostic Screening Programs - standards
Female
Geriatrics/Gerontology
Humans
Male
Mass Screening
Medical diagnosis
Medicine
Medicine & Public Health
Musculoskeletal diseases
Musculoskeletal Diseases - physiopathology
Neurosciences
Nutrition
Primary Care Medicine
Quality of Life Research
Questionnaires
Reproducibility of Results
Sarcopenia
Sarcopenia - diagnosis
Sarcopenia - pathology
Working groups
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Objectives To validate the SARC-F questionnaire for sarcopenia screening in musculoskeletal disease setting, and to assess improvements in diagnostic accuracy by adding “EBM” (elderly and body mass index information) to the SARC-F. Design Diagnostic accuracy study. Setting and Participants The center involved in this study was located in an urban area of Kobe City, Japan. People with musculoskeletal disease in the knee, hip, or spine who were scheduled for surgical treatment were included. Measurements Sarcopenia was evaluated using the Asian Working Group for Sarcopenia (AWGS) and the European Working Group on Sarcopenia in Older People (EWGSOP2), which included bioimpedance, handgrip strength, and gait speed. Patients answered the SARC-F questionnaire and their body mass index was measured. SARC-F and “EBM” information were combined into an original score. The sensitivities, specificities, and areas under the receiver operating characteristic curve (AUC) were estimated and compared to identify sarcopenia. Results A total of 959 patients were included. Sarcopenia by AWGS criteria was identified in 36 (3.8%) patients. SARC-F had a sensitivity of 41.7% and specificity of 68.5%. SARC-F+EBM had a sensitivity of 77.8% and specificity of 69.6%, with substantial improvement in sensitivity (P
ISSN:1279-7707
1760-4788
DOI:10.1007/s12603-019-1222-x