Functional and Clinical Characteristics for Predicting Sarcopenia in Institutionalised Older Adults: Identifying Tools for Clinical Screening

Maria A Cebrià I Iranzo, Anna Arnal-Gómez, Maria A Tortosa-Chuliá, Mercè Balasch-Bernat, Silvia Forcano, Trinidad Sentandreu-Mañó, Jose M Tomas, Natalia Cezón-Serrano, Maria A Cebrià I Iranzo, Anna Arnal-Gómez, Maria A Tortosa-Chuliá, Mercè Balasch-Bernat, Silvia Forcano, Trinidad Sentandreu-Mañó, Jose M Tomas, Natalia Cezón-Serrano

Abstract

Background: Recently, the European Working Group on Sarcopenia in Older People (EWGSOP2) has updated the sarcopenia definition based on objective evaluation of muscle strength, mass and physical performance. The aim of this study was to analyse the relationship between sarcopenia and clinical aspects such as functionality, comorbidity, polypharmacy, hospitalisations and falls in order to support sarcopenia screening in institutionalised older adults, as well as to estimate the prevalence of sarcopenia in this population using the EWGSOP2 new algorithm.

Methods: A multicentre cross-sectional study was conducted on institutionalised older adults (n = 132, 77.7% female, mean age 82 years). Application of the EWGSOP2 algorithm consisted of the SARC-F questionnaire, handgrip strength (HG), appendicular skeletal muscle mass index (ASMI) and Short Physical Performance Battery (SPPB). Clinical study variables were: Barthel Index (BI), Abbreviated Charlson's Comorbidity Index (ACCI), number of medications, hospital stays and falls.

Results: Age, BI and ACCI were shown to be predictors of the EWGSOP2 sarcopenia definition (Nagelkerke's R-square = 0.34), highlighting the ACCI. Sarcopenia was more prevalent in older adults aged over 85 (p = 0.005), but no differences were found according to gender (p = 0.512).

Conclusion: BI and the ACCI can be considered predictors that guide healthcare professionals in early sarcopenia identification and therapeutic approach.

Keywords: clinical; functionality; institutionalised; older adults; sarcopenia.

Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Sarcopenia: EWSGOP2 algorithm for case-finding, diagnosis and quantification of severity in practice.
Figure 2
Figure 2
Percentages of no sarcopenia and severity sarcopenia levels (EWSGOP2, 2019) according to gender: no sarcopenia, probable sarcopenia, and severe sarcopenia.

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