Back to Search
Start Over
Different assessment tools to detect sarcopenia in patients with Parkinson's disease
- Source :
- Frontiers in Neurology, Vol 13 (2022)
- Publication Year :
- 2022
- Publisher :
- Frontiers Media S.A., 2022.
-
Abstract
- IntroductionSarcopenia and Parkinson's disease are closely related diseases of the elderly population leading to progressive disability and nursing-dependent care.ObjectiveThe aim of this study was to estimate the prevalence of sarcopenia in PD patients with three different approaches: (1) the screening tool SARC-F, (2) EWGSOP-1 criteria, and (3) EWGSOP-2 criteria. Moreover, we aimed to evaluate the diagnostic accuracy of the screening tool SARC-F to detect sarcopenia according to the updated EWGSOP-2 criteria.MethodsEighty-one patients with Parkinson's disease aged 65 years and above were interviewed in a cross-sectional study at a tertiary referral center. All patients were screened with the SARC-F questionnaire and were evaluated for motor and non-motor symptoms, exercise, quality of life, and frailty. Muscle mass was assessed with bioelectrical impedance analysis, handgrip strength with a dynamometer, and gait speed was assessed with the 8-m walk test. EWGSOP-2 criteria were considered the gold standard to diagnose sarcopenia in our study.ResultsEighty-one patients were evaluated (mean age: 73.82; SD 5.30). The prevalence of sarcopenia was 28.4% according to the EWGSOP-2 criteria. The concordance between EWGSOP-2 and EWGSOP-1 was poor (weighted kappa of 0.361[95% 0.164–0.557]). The sensitivity of the SARC-F screening test for detecting sarcopenia was 60.9%. The corresponding AUC in the ROC curve analysis showed 0.598 (0.462, 0.734 CI). The item assessing strength was found to have the highest sensitivity (69.6%).ConclusionSarcopenia prevalence in patients with PD in Tirol, Austria is higher with EWGSOP-1 criteria compared to EWGSOP-2 criteria. The sensitivity and specificity of the SARC-F scale to detect sarcopenia in this population are poor.
Details
- Language :
- English
- ISSN :
- 16642295
- Volume :
- 13
- Database :
- Directory of Open Access Journals
- Journal :
- Frontiers in Neurology
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.56854d265ad3481ab716ffe88a797c83
- Document Type :
- article
- Full Text :
- https://doi.org/10.3389/fneur.2022.1014102