Leon Lenchik1, Kristin M Lenoir2, Josh Tan1, Robert D Boutin3, Kathryn E Callahan4, Stephen B Kritchevsky4, Brian J Wells2. 1. Department of Radiology, Wake Forest School of Medicine, Winston-Salem, North Carolina. 2. Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina. 3. Department of Radiology, University of California Davis School of Medicine, Sacramento. 4. Department of Internal Medicine, Section on Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina.
Abstract
BACKGROUND: Opportunistic assessment of sarcopenia on CT examinations is becoming increasingly common. This study aimed to determine relationships between CT-measured skeletal muscle size and attenuation with 1-year risk of mortality in older adults enrolled in a Medicare Shared Savings Program (MSSP). METHODS: Relationships between skeletal muscle metrics and all-cause mortality were determined in 436 participants (52% women, mean age 75 years) who had abdominopelvic CT examinations. On CT images, skeletal muscles were segmented at the level of L3 using two methods: (a) all muscles with a threshold of -29 to +150 Hounsfield units (HU), using a dedicated segmentation software, (b) left psoas muscle using a free-hand region of interest tool on a clinical workstation. Muscle cross-sectional area (CSA) and muscle attenuation were measured. Cox regression models were fit to determine the associations between muscle metrics and mortality, adjusting for age, sex, race, smoking status, cancer diagnosis, and Charlson comorbidity index. RESULTS: Within 1 year of follow-up, 20.6% (90/436) participants died. In the fully-adjusted model, higher muscle index and muscle attenuation were associated with lower risk of mortality. A one-unit standard deviation (SD) increase was associated with a HR = 0.69 (95% CI = 0.49, 0.96; p = .03) for total muscle index, HR = 0.67 (95% CI = 0.49, 0.90; p < .01) for psoas muscle index, HR = 0.54 (95% CI = 0.40, 0.74; p < .01) for total muscle attenuation, and HR = 0.79 (95% CI = 0.66, 0.95; p = .01) for psoas muscle attenuation. CONCLUSION: In older adults, higher skeletal muscle index and muscle attenuation on abdominopelvic CT examinations were associated with better survival, after adjusting for multiple risk factors.
BACKGROUND: Opportunistic assessment of sarcopenia on CT examinations is becoming increasingly common. This study aimed to determine relationships between CT-measured skeletal muscle size and attenuation with 1-year risk of mortality in older adults enrolled in a Medicare Shared Savings Program (MSSP). METHODS: Relationships between skeletal muscle metrics and all-cause mortality were determined in 436 participants (52% women, mean age 75 years) who had abdominopelvic CT examinations. On CT images, skeletal muscles were segmented at the level of L3 using two methods: (a) all muscles with a threshold of -29 to +150 Hounsfield units (HU), using a dedicated segmentation software, (b) left psoas muscle using a free-hand region of interest tool on a clinical workstation. Muscle cross-sectional area (CSA) and muscle attenuation were measured. Cox regression models were fit to determine the associations between muscle metrics and mortality, adjusting for age, sex, race, smoking status, cancer diagnosis, and Charlson comorbidity index. RESULTS: Within 1 year of follow-up, 20.6% (90/436) participantsdied. In the fully-adjusted model, higher muscle index and muscle attenuation were associated with lower risk of mortality. A one-unit standard deviation (SD) increase was associated with a HR = 0.69 (95% CI = 0.49, 0.96; p = .03) for total muscle index, HR = 0.67 (95% CI = 0.49, 0.90; p < .01) for psoas muscle index, HR = 0.54 (95% CI = 0.40, 0.74; p < .01) for total muscle attenuation, and HR = 0.79 (95% CI = 0.66, 0.95; p = .01) for psoas muscle attenuation. CONCLUSION: In older adults, higher skeletal muscle index and muscle attenuation on abdominopelvic CT examinations were associated with better survival, after adjusting for multiple risk factors.
Authors: Robert D Boutin; Sara Bamrungchart; Cyrus P Bateni; Daniel P Beavers; Kristen M Beavers; John P Meehan; Leon Lenchik Journal: AJR Am J Roentgenol Date: 2017-03-07 Impact factor: 3.959
Authors: Jayme E Locke; J Jeffrey Carr; Sangeeta Nair; James G Terry; Rhiannon D Reed; Grant D Smith; Dorry L Segev; Vineeta Kumar; Cora E Lewis Journal: Clin Transplant Date: 2017-02-08 Impact factor: 2.863
Authors: Christine M Leeper; Elizabeth Lin; Marcus Hoffman; Anisleidy Fombona; Tianhua Zhou; Matthew Kutcher; Matthew Rosengart; Gregory Watson; Timothy Billiar; Andrew Peitzman; Brian Zuckerbraun; Jason Sperry Journal: J Trauma Acute Care Surg Date: 2016-05 Impact factor: 3.313
Authors: Alixe H M Kilgour; Deepak Subedi; Calum D Gray; Ian J Deary; Stephen M Lawrie; Joanna M Wardlaw; John M Starr Journal: PLoS One Date: 2012-04-03 Impact factor: 3.240
Authors: Gary C Chan; Jasmin Divers; Gregory B Russell; Carl D Langefeld; Lynne E Wagenknecht; Jianzhao Xu; S Carrie Smith; Donald W Bowden; Thomas C Register; J Jeffrey Carr; Leon Lenchik; Barry I Freedman Journal: PLoS One Date: 2018-01-24 Impact factor: 3.240
Authors: Peggy M Cawthon; Terri Blackwell; Steven R Cummings; Eric S Orwoll; Kate A Duchowny; Deborah M Kado; Katie L Stone; Kristine E Ensrud; Jane A Cauley; William J Evans Journal: J Gerontol A Biol Sci Med Sci Date: 2021-01-01 Impact factor: 6.053
Authors: Leon Lenchik; Ryan Barnard; Robert D Boutin; Stephen B Kritchevsky; Haiying Chen; Josh Tan; Peggy M Cawthon; Ashley A Weaver; Fang-Chi Hsu Journal: J Gerontol A Biol Sci Med Sci Date: 2021-01-18 Impact factor: 6.053
Authors: Ryan Barnard; Josh Tan; Brandon Roller; Caroline Chiles; Ashley A Weaver; Robert D Boutin; Stephen B Kritchevsky; Leon Lenchik Journal: Acad Radiol Date: 2019-07-17 Impact factor: 3.173
Authors: Samaneh Farsijani; Lingshu Xue; Robert M Boudreau; Adam J Santanasto; Stephen B Kritchevsky; Anne B Newman Journal: J Gerontol A Biol Sci Med Sci Date: 2021-11-15 Impact factor: 6.053
Authors: Wilfred Manzano; Leon Lenchik; Akshay S Chaudhari; Lawrence Yao; Sarthak Gupta; Robert D Boutin Journal: Skeletal Radiol Date: 2021-07-16 Impact factor: 2.199