CT-Determined Sarcopenia in GLIM-Defined Malnutrition and Prediction of 6-Month Mortality in Cancer Inpatients Article Swipe
Francisco José Sánchez-Torralvo
,
Ignacio Ruiz-García
,
Victoria Contreras-Bolívar
,
Inmaculada González-Almendros
,
María Dolores Martínez Ruiz
,
José Abuín-Fernández
,
Manuel Barrios
,
Emilio Alba
,
Gabriel Olveira
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3390/nu13082647
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3390/nu13082647
Our objective was to evaluate the clinical application of third lumbar vertebra (L3)-computer tomography (CT)-determined sarcopenia as a marker of muscle mass in cancer inpatients diagnosed with malnutrition according to the Global Leadership Initiative on Malnutrition (GLIM) criteria and to establish its association with 6-month mortality. Methods: This was an observational, prospective study in patients from an inpatient oncology unit. We performed a nutritional assessment according to GLIM criteria, including muscle cross-sectional area at L3 by CT and skeletal muscle index (SMI). Six-month mortality was evaluated. Results: A total of 208 patients were included. The skeletal muscle cross-sectional area at L3 was 136.2 ± 32.5 cm2 in men and 98.1 ± 21.2 cm2 in women. The SMI was 47.4 ± 12.3 cm2/m2 in men and 38.7 ± 8.3 cm2/m2 in women. Sarcopenia (low SMI) was detected in 59.6% of the subjects. Using SMI as a marker of low muscle mass in application of GLIM criteria, we found 183 (87.9%) malnourished patients. There were 104 deaths (50%) at 6 months. The deceased patients had a lower skeletal muscle cross-sectional area (112.9 ± 27.9 vs. 126.1 ± 37.8 cm2; p = 0.003) and a lower SMI (41.3 ± 9.5 vs. 45.7 ± 12.9 cm2/m2; p = 0.006). An increased risk of 6-month mortality was found in malnourished patients according to GLIM criteria using SMI (HR 2.47; 95% confidence interval 1.07–5.68; p = 0.033). Conclusions: Low muscle mass, assessed by L3-CT, was observed to affect more than half of cancer inpatients. The deceased patients at 6 months had a lower skeletal muscle cross-sectional area and SMI. Malnutrition according to GLIM criteria using CT-determined sarcopenia was shown to adequately predict 6-month mortality.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/nu13082647
- https://www.mdpi.com/2072-6643/13/8/2647/pdf?version=1627972838
- OA Status
- gold
- Cited By
- 37
- References
- 45
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3190665802
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3190665802Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/nu13082647Digital Object Identifier
- Title
-
CT-Determined Sarcopenia in GLIM-Defined Malnutrition and Prediction of 6-Month Mortality in Cancer InpatientsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-07-30Full publication date if available
- Authors
-
Francisco José Sánchez-Torralvo, Ignacio Ruiz-García, Victoria Contreras-Bolívar, Inmaculada González-Almendros, María Dolores Martínez Ruiz, José Abuín-Fernández, Manuel Barrios, Emilio Alba, Gabriel OlveiraList of authors in order
- Landing page
-
https://doi.org/10.3390/nu13082647Publisher landing page
- PDF URL
-
https://www.mdpi.com/2072-6643/13/8/2647/pdf?version=1627972838Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2072-6643/13/8/2647/pdf?version=1627972838Direct OA link when available
- Concepts
-
Sarcopenia, Medicine, Malnutrition, Cross-sectional study, Confidence interval, Internal medicine, Skeletal muscle, Body mass index, Prospective cohort study, PathologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
37Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 6, 2024: 10, 2023: 10, 2022: 10, 2021: 1Per-year citation counts (last 5 years)
- References (count)
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45Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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