Muscle matters: Prognostic implications of malnutrition and muscle health parameters in patients with cancer. A secondary analysis of a randomised trial
Low muscle mass and malnutrition are independently associated with an increased risk of adverse outcomes in patients with cancer. However, it is not yet clear which parameter is most indicative of these risks. This study investigates the prognostic significance of different parameters reflecting mal...
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Published in: | Clinical nutrition (Edinburgh, Scotland) Vol. 43; no. 9; pp. 2255 - 2262 |
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Main Authors: | , , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
England
Elsevier Ltd
01-09-2024
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Subjects: | |
Online Access: | Get full text |
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Summary: | Low muscle mass and malnutrition are independently associated with an increased risk of adverse outcomes in patients with cancer. However, it is not yet clear which parameter is most indicative of these risks. This study investigates the prognostic significance of different parameters reflecting malnutrition and muscle health in a well-characterised oncology population at nutritional risk.
This preplanned secondary analysis included patients with cancer from a Swiss-wide, randomised-controlled nutritional trial. We investigated associations among malnutrition markers (i.e., malnutrition diagnosis based on modified Global Leadership Initiative on Malnutrition (GLIM) criteria, albumin concentration) and muscle health markers (i.e., hand grip strength, computed tomography (CT)-based muscle mass and radiodensity) with 180-day all-cause mortality (primary outcome).
We included 269 patients with a main admission diagnosis of cancer and available CT scans. In a mutually adjusted model, four parameters contributed to risk assessment including modified malnutrition diagnosis (GLIM) (HR 1.78 (95%CI 1.17 to 2.69), p = 0.007, AUC 0.58), low albumin concentration (HR 1.58 (95%CI 1.08 to 2.31), p = 0.019, AUC 0.62), low handgrip strength (HR 2.05 (95%CI 1.43 to 2.93), p = 0.001, AUC 0.62) and low muscle radiodensity (HR 1.39 (95%CI 0.90 to 2.16), p = 0.139, AUC 0.63). Combining these parameters resulted in a model with high prognostic power regarding 180-day mortality (overall AUC 0.71).
In this study of inpatients with cancer at nutritional risk, several malnutrition and muscle health parameters emerged as independent prognostic indicators for mortality. The use of these parameters may improve risk stratification and guide nutritional interventions in this vulnerable population.
ClinicalTrials.gov, number NCT02517476.
•Several malnutrition and muscle health parameters emerged as independent prognostic indicators for mortality.•Specifically, mGLIM, low albumin, low HGS and low muscle radiodensity were strong predictors of 180-day mortality.•Using these parameters may improve risk stratification and guide nutritional interventions in this vulnerable population.•Muscle radiodensity, as a parameter of muscle composition, proved to be a more valuable prognostic marker than muscle mass. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Undefined-3 |
ISSN: | 0261-5614 1532-1983 1532-1983 |
DOI: | 10.1016/j.clnu.2024.07.020 |