Developing sarcopenia criteria and cutoffs for an older Caucasian cohort - a strictly biometrical approach
Kemmler W, von Stengel S, Kohl M (2018)
Publication Type: Journal article
Publication year: 2018
Journal
Book Volume: 13
Pages Range: 1365-1373
DOI: 10.2147/CIA.S167899
Abstract
Background: The aim of this strictly statistical approach was to provide a figure discrimination in a homogeneous cohort that is based on a main component, which includes disability, physical performance, and autonomy parameters. Methods: We used data of 939 community-dwelling men aged ≥70 years, living in the area of Erlangen-Nürnberg, Germany. Briefly, we conducted a scaled principal component analysis based on criteria related to "physical function", "disability", "weakness", and "autonomy" to identify men who are likely to have sarcopenia as per the recognized sarcopenia criteria. Next, we applied fast-and-frugal decision trees, logistic regression, and classification and regression decision trees to classify men with and without sarcopenia, applying the 5% prevalence rate identified for this cohort by recent studies. Results: In summary, the best fast-and-frugal decision trees included gait velocity, handgrip strength, and two skeletal muscle mass indices (SMI) - appendicular skeletal muscle mass (ASMM)/body mass index (BMI) and ASMM/height2. Briefly, men below the cutoff point of 1.012 m/s for gait velocity were directly classified as sarcopenic. Faster men with a handgrip strength of >34.5 kg were excluded from further screening, while their weaker peers were assessed for SMI. Firstly, an ASMM/BMI-based exclusion criterion of >0.886 indicates no sarcopenia; while in men with a lower BMI-based SMI, an ASMM/height2 of <7.25 kg/m2 indicates sarcopenia. Of importance, about 72% of the participants can be classified without an SMI assessment. Conclusion: The present approach that applied recognized sarcopenia criteria and was based on a predominately functional understanding of sarcopenia provided a simple and feasible decision rule for sarcopenia discrimination. In summary, we consider our approach as a strictly biometrical contribution within the development of sarcopenia screening methods. However, our tool needs to be further evaluated to validate its appropriateness to discriminate sarcopenia in this relevant cohort.
Authors with CRIS profile
Wolfgang Kemmler
Lehrstuhl für Medizinische Physik und Mikrogewebetechnik
Simon von Stengel
Lehrstuhl für Medizinische Physik und Mikrogewebetechnik
Involved external institutions
Germany (DE)How to cite
APA:
Kemmler, W., von Stengel, S., & Kohl, M. (2018). Developing sarcopenia criteria and cutoffs for an older Caucasian cohort - a strictly biometrical approach. Clinical Interventions in Aging, 13, 1365-1373. https://doi.org/10.2147/CIA.S167899
MLA:
Kemmler, Wolfgang, Simon von Stengel, and Matthias Kohl. "Developing sarcopenia criteria and cutoffs for an older Caucasian cohort - a strictly biometrical approach." Clinical Interventions in Aging 13 (2018): 1365-1373.
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