Association of CT-Derived Skeletal Muscle and Adipose Tissue Metrics with Frailty in Older Adults
Copyright © 2024 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved..
RATIONALE AND OBJECTIVES: Tools are needed for frailty screening of older adults. Opportunistic analysis of body composition could play a role. We aim to determine whether computed tomography (CT)-derived measurements of muscle and adipose tissue are associated with frailty.
MATERIALS AND METHODS: Outpatients aged ≥ 55 years consecutively imaged with contrast-enhanced abdominopelvic CT over a 3-month interval were included. Frailty was determined from the electronic health record using a previously validated electronic frailty index (eFI). CT images at the level of the L3 vertebra were automatically segmented to derive muscle metrics (skeletal muscle area [SMA], skeletal muscle density [SMD], intermuscular adipose tissue [IMAT]) and adipose tissue metrics (visceral adipose tissue [VAT], subcutaneous adipose tissue [SAT]). Distributions of demographic and CT-derived variables were compared between sexes. Sex-specific associations of muscle and adipose tissue metrics with eFI were characterized by linear regressions adjusted for age, race, ethnicity, duration between imaging and eFI measurements, and imaging parameters.
RESULTS: The cohort comprised 886 patients (449 women, 437 men, mean age 67.9 years), of whom 382 (43%) met the criteria for pre-frailty (ie, 0.10 < eFI ≤ 0.21) and 138 (16%) for frailty (eFI > 0.21). In men, 1 standard deviation changes in SMD (β = -0.01, 95% confidence interval [CI], -0.02 to -0.001, P = .02) and VAT area (β = 0.008, 95% CI, 0.0005-0.02, P = .04), but not SMA, IMAT, or SAT, were associated with higher frailty. In women, none of the CT-derived muscle or adipose tissue metrics were associated with frailty.
CONCLUSION: We observed a positive association between frailty and CT-derived biomarkers of myosteatosis and visceral adiposity in a sex-dependent manner.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:31 |
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| Enthalten in: |
Academic radiology - 31(2024), 2 vom: 09. Feb., Seite 596-604 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Bunch, Paul M [VerfasserIn] |
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| Links: |
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| Themen: |
Adipose tissue |
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| Anmerkungen: |
Date Completed 26.02.2024 Date Revised 16.03.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.acra.2023.06.003 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM359798756 |
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| 100 | 1 | |a Bunch, Paul M |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Association of CT-Derived Skeletal Muscle and Adipose Tissue Metrics with Frailty in Older Adults |
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| 500 | |a Date Revised 16.03.2024 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2024 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved. | ||
| 520 | |a RATIONALE AND OBJECTIVES: Tools are needed for frailty screening of older adults. Opportunistic analysis of body composition could play a role. We aim to determine whether computed tomography (CT)-derived measurements of muscle and adipose tissue are associated with frailty | ||
| 520 | |a MATERIALS AND METHODS: Outpatients aged ≥ 55 years consecutively imaged with contrast-enhanced abdominopelvic CT over a 3-month interval were included. Frailty was determined from the electronic health record using a previously validated electronic frailty index (eFI). CT images at the level of the L3 vertebra were automatically segmented to derive muscle metrics (skeletal muscle area [SMA], skeletal muscle density [SMD], intermuscular adipose tissue [IMAT]) and adipose tissue metrics (visceral adipose tissue [VAT], subcutaneous adipose tissue [SAT]). Distributions of demographic and CT-derived variables were compared between sexes. Sex-specific associations of muscle and adipose tissue metrics with eFI were characterized by linear regressions adjusted for age, race, ethnicity, duration between imaging and eFI measurements, and imaging parameters | ||
| 520 | |a RESULTS: The cohort comprised 886 patients (449 women, 437 men, mean age 67.9 years), of whom 382 (43%) met the criteria for pre-frailty (ie, 0.10 < eFI ≤ 0.21) and 138 (16%) for frailty (eFI > 0.21). In men, 1 standard deviation changes in SMD (β = -0.01, 95% confidence interval [CI], -0.02 to -0.001, P = .02) and VAT area (β = 0.008, 95% CI, 0.0005-0.02, P = .04), but not SMA, IMAT, or SAT, were associated with higher frailty. In women, none of the CT-derived muscle or adipose tissue metrics were associated with frailty | ||
| 520 | |a CONCLUSION: We observed a positive association between frailty and CT-derived biomarkers of myosteatosis and visceral adiposity in a sex-dependent manner | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Adipose tissue | |
| 650 | 4 | |a Aging | |
| 650 | 4 | |a Body composition | |
| 650 | 4 | |a Frailty | |
| 650 | 4 | |a Myopenia | |
| 650 | 4 | |a Myosteatosis | |
| 650 | 4 | |a Sarcopenia | |
| 700 | 1 | |a Rigdon, Joseph |e verfasserin |4 aut | |
| 700 | 1 | |a Niazi, Muhammad Khalid Khan |e verfasserin |4 aut | |
| 700 | 1 | |a Barnard, Ryan T |e verfasserin |4 aut | |
| 700 | 1 | |a Boutin, Robert D |e verfasserin |4 aut | |
| 700 | 1 | |a Houston, Denise K |e verfasserin |4 aut | |
| 700 | 1 | |a Lenchik, Leon |e verfasserin |4 aut | |
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