TY - JOUR
T1 - Frailty and skeletal muscle in older adults with cancer
AU - Williams, Grant R.
AU - Deal, Allison M.
AU - Muss, Hyman B.
AU - Weinberg, Marc S.
AU - Sanoff, Hanna K.
AU - Guerard, Emily J.
AU - Nyrop, Kirsten A.
AU - Pergolotti, Mackenzi
AU - Shachar, Shlomit Strulov
N1 - Publisher Copyright:
© 2017 Elsevier Ltd
PY - 2018/1
Y1 - 2018/1
N2 - Objective Computerized tomography (CT) imaging is routine in oncologic care and can be used to measure muscle quantity and composition that may improve prognostic assessment of older patients. This study examines the association of single-slice CT-assessed muscle measurements with a frailty index in older adults with cancer. Materials and Methods Using the Carolina Senior Registry, we identified patients with CT imaging within 60 days ± of geriatric assessment (GA). A 36-item Carolina Frailty Index was calculated. Cross-sectional skeletal muscle area (SMA) and Skeletal Muscle Density (SMD) were analyzed from CT scan L3 lumbar segments. SMA and patient height (m2) were used to calculate skeletal muscle index (SMI). Skeletal Muscle Gauge (SMG) was calculated by multiplying SMI × SMD. Results Of the 162 patients, mean age 73, 53% were robust, 27% pre-frail, and 21% frail. Significant differences were found between robust and frail patients for SMD (29.4 vs 24.1 HU, p < 0.001) and SMG (1188 vs 922 AU, p = 0.003), but not SMI (41.9 vs 39.5 cm2/m2, p = 0.29). After controlling for age and gender, for every 5 unit decrease in SMD, the prevalence ratio of frailty increased by 20% (PR = 1.20 [1.09, 1.32]) while the prevalence of frailty did not differ based on SMI. Conclusions Muscle mass (measured as SMI) was poorly associated with a GA-based frailty index. Muscle density, which reflects muscle lipid content, was more associated with frailty. Although frailty and loss of muscle mass are both age-related conditions that are predictive of adverse outcomes, our results suggest they are separate entities.
AB - Objective Computerized tomography (CT) imaging is routine in oncologic care and can be used to measure muscle quantity and composition that may improve prognostic assessment of older patients. This study examines the association of single-slice CT-assessed muscle measurements with a frailty index in older adults with cancer. Materials and Methods Using the Carolina Senior Registry, we identified patients with CT imaging within 60 days ± of geriatric assessment (GA). A 36-item Carolina Frailty Index was calculated. Cross-sectional skeletal muscle area (SMA) and Skeletal Muscle Density (SMD) were analyzed from CT scan L3 lumbar segments. SMA and patient height (m2) were used to calculate skeletal muscle index (SMI). Skeletal Muscle Gauge (SMG) was calculated by multiplying SMI × SMD. Results Of the 162 patients, mean age 73, 53% were robust, 27% pre-frail, and 21% frail. Significant differences were found between robust and frail patients for SMD (29.4 vs 24.1 HU, p < 0.001) and SMG (1188 vs 922 AU, p = 0.003), but not SMI (41.9 vs 39.5 cm2/m2, p = 0.29). After controlling for age and gender, for every 5 unit decrease in SMD, the prevalence ratio of frailty increased by 20% (PR = 1.20 [1.09, 1.32]) while the prevalence of frailty did not differ based on SMI. Conclusions Muscle mass (measured as SMI) was poorly associated with a GA-based frailty index. Muscle density, which reflects muscle lipid content, was more associated with frailty. Although frailty and loss of muscle mass are both age-related conditions that are predictive of adverse outcomes, our results suggest they are separate entities.
KW - Cancer
KW - Frailty
KW - Geriatric oncology
KW - Muscle attenuation
KW - Sarcopenia
KW - Skeletal muscle gauge
KW - Skeletal muscle index
UR - http://www.scopus.com/inward/record.url?scp=85028302272&partnerID=8YFLogxK
U2 - 10.1016/j.jgo.2017.08.002
DO - 10.1016/j.jgo.2017.08.002
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C2 - 28844849
AN - SCOPUS:85028302272
SN - 1879-4068
VL - 9
SP - 68
EP - 73
JO - Journal of Geriatric Oncology
JF - Journal of Geriatric Oncology
IS - 1
ER -