Older adults, appendicular anthropometric measurements, and poor functional performance are predictors of sarcopenia in individuals with head and neck squamous cell carcinoma

Objective To identify predictors of sarcopenia (demographical, anthropometric measurements, tumor-related clinical characteristics, performance status, and serum C-reactive protein (CRP) and albumin levels in individuals with head and neck squamous cell carcinoma (HNSCC). Material and methods This c...

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Veröffentlicht in:Supportive care in cancer 2024-01, Vol.32 (1), p.82-82, Article 82
Hauptverfasser: Pereira, Luciana Mara Barbosa, Ruas, Hérika Maria Silveira, de Freitas Filho, Walter, Alves, Wislene Sarajane Moreira, Dias, Gabrielle Oliveira, Durães, Cristina Paixão, Monteiro-Junior, Renato Sobral, Santos, Sérgio Henrique Sousa, Farias, Lucyana Conceição, Guimarães, André Luiz Sena, Haikal, Desirée Sant´Ana, Cardoso, Cláudio Marcelo, de Paula, Alfredo Mauricio Batista
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Sprache:eng
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Zusammenfassung:Objective To identify predictors of sarcopenia (demographical, anthropometric measurements, tumor-related clinical characteristics, performance status, and serum C-reactive protein (CRP) and albumin levels in individuals with head and neck squamous cell carcinoma (HNSCC). Material and methods This cross-sectional study selected diagnosed with HNSCC ( n  = 125). Sarcopenia was defined as low muscle strength and low physical performance. Association between sarcopenia and anthropometric assessments (weight, height, body mass index, triceps skinfold, mid-upper arm circumference [MUAC], mid-upper arm muscle circumference, mid-upper arm fat area [UFA], mid-upper arm bone free muscle area, calf circumference, and appendicular skeletal muscle mass and index), tumor clinical characteristics (anatomical site, tumor size, and cervical metastasis), performance status scale (Eastern Cooperative Oncology Group Performance Status [ECOG-PS]), and CRP and albumin levels was analyzed using binary logistic regression models. Results The diagnosis of sarcopenia was identified in 28 (22.4%) individuals with HNSCC. Being an older adult increases the odds of association with sarcopenia in individuals with HNSCC (odds ratio [OR] = 1.05). Increments in MUAC measurement reduce the odds of association with sarcopenia (OR = 0.69), while the increase in the UFA measurement increases the odds of association with sarcopenia (OR = 1.33). Poor ECOG-PS scores increase the odds of association with sarcopenia in individuals with HNSCC (OR = 5.54). Conclusion Early identification of easy-to-perform, cost-effective predictors of sarcopenia tends to favor the implementation of personalized therapeutic and supportive interventions in individuals with HNSCC.
ISSN:0941-4355
1433-7339
DOI:10.1007/s00520-023-08254-9