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ID 119183
Title Alternative
Development and validation of equations for predicting appendicular skeletal muscle mass in male patients with head and neck cancer with normal hydration status
Prediction equations for appendicular skeletal muscle mass
Author
Kubo, Miyu Tokushima University
Hayashi, Haruka Tokushima University
Kitao, Midori Tokushima University
Wada, Kyoko Tokushima University
Yamanaka, Ayaka Tokushima University
Ohmae, Nao Tokushima University
Matsuoka, Momoyo Tokushima University
Shimada, Aki Tokushima University
Keywords
Appendicular skeletal muscle mass
Bioelectrical impedance analysis
Estimation equation
Head and neck cancer
Sarcopenia
Skeletal muscle mass index
Content Type
Journal Article
Description
Objective: Muscle mass is typically assessed by abdominal computed tomography, magnetic resonance imaging, and dual-energy X-ray absorptiometry. However, these tests are not routinely performed in patients with head and neck cancer (HNC), making sarcopenia assessment difficult. This study aimed to develop and validate equations for predicting appendicular skeletal muscle (ASM) from data obtained in daily medical practice, with bioelectrical impedance analysis (BIA)-measured ASM (BIA-ASM) as a reference.
Research Methods & Procedures: This cross-sectional study included 103 male patients with HNC and randomly divided them into development and validation groups. The prediction equations for BIA-ASM were developed by multiple regression analysis and validated by Bland–Altman analyses. The estimated skeletal muscle mass index (eSMI) was also statistically evaluated to discriminate the cutoff value for BIA-measured SMI according to Asian Working Groups for Sarcopenia.
Results: Two practical equations, which include 24-hour urinary creatinine excretion volume (24hUCrV), handgrip strength (HGS), body weight (BW), and body height (BHt), were developed: ASM (kg) = −39.46 + (3.557 × 24hUCrV[g]) + (0.08872 × HGS[kg]) + (0.1263 × BW[kg]) + (0.2661 × BHt[cm]) if available for 24hUCrV (adjusted R2 = 0.8905), and ASM (kg) = −42.60 + (0.1643 × HGS[kg]) + (0.1589 × BW[kg]) + (0.2807 × BHt[cm]) if not (adjusted R2 = 0.8589). ASM estimated by these two equations showed a significantly strong correlation with BIA-ASM (R > 0.900). Bland–Altman analyses showed a good agreement, and eSMI accuracy was high (>80%) in both equations.
Conclusions: These two equations are a valid option for estimating ASM and diagnosing sarcopenia in patients with HNC in all facilities without special equipment.
Journal Title
Nutrition
ISSN
08999007
18731244
NCID
AA10745727
AA11535297
Publisher
Elsevier
Volume
116
Start Page
112184
Published Date
2023-08-06
Rights
© 2023. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
EDB ID
DOI (Published Version)
URL ( Publisher's Version )
FullText File
language
eng
TextVersion
Author
departments
Medical Sciences
University Hospital