Sarcopenia measured with handgrip strength and skeletal muscle mass to assess frailty in older patients with head and neck cancer

Christiaan D A Meerkerk, Najiba Chargi, Pim A de Jong, Frederiek van den Bos, Remco de Bree

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Abstract

OBJECTIVES: Patients with head and neck cancer (HNC) have a risk of sarcopenia which is associated with adverse health outcomes. Frailty is also associated with adverse outcomes and is diagnosed by a comprehensive geriatric assessment (CGA). Because a CGA is time-consuming and not all patients benefit from it, frailty screening questionnaires are used to select patients for CGA. Sarcopenia measurement may be a biomarker for frailty. Our objective was to examine the association between sarcopenia and a frailty screening questionnaire.

MATERIALS AND METHODS: In this single-center retrospective study, 150 patients (≥ 60-years old) with HNC were reviewed. Sarcopenia was defined as the combination of reduced handgrip strength and loss of skeletal muscle mass, calculated as skeletal muscle index (SMI), according to the EWGSOP-criteria. Frailty screening was performed using the Geriatrics 8 (G8) questionnaire.

RESULTS: The 150 patients included 101 men and 49 women. Frail patients were more likely to be sarcopenic at diagnosis. G8 frailty score showed a significant though weak correlation with SMI. Univariate regression analysis with frailty as a dependent variable distinguished comorbidity score, handgrip strength, SMI, and sarcopenia as significant. These variables were subjected to a multivariate analysis in which comorbidity score and SMI remained significant.

CONCLUSION: There is an association between sarcopenia and the G8 frailty screening questionnaire. Therefore, sarcopenia measurement could be interchangeable with the G8 frailty screening questionnaire. Further research should compare the gold standard for frailty, i.e. CGA, with sarcopenia.

Original languageEnglish
Pages (from-to)434-440
Number of pages7
JournalJournal of geriatric oncology
Volume12
Issue number3
Early online date13 Oct 2020
DOIs
Publication statusPublished - Apr 2021

Keywords

  • Computer-assisted image analysis
  • Frailty
  • Head and neck cancer
  • Muscle function
  • Sarcopenia
  • Skeletal muscle mass

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