RT info:eu-repo/semantics/article
T1 Evaluation of muscle mass and malnutrition in patients with colorectal cancer using the Global Leadership Initiative on Malnutrition criteria and comparing bioelectrical impedance analysis and computed tomography measurements
A1 Luis Román, Daniel Antonio de
A1 Muñoz, Marifé
A1 Primo Martín, David
A1 Izaola Jauregui, Olatz
A1 Sánchez Lite, Israel
AB Abstract: Objectives: The aim of this investigation was to evaluate the discrepancies between bioelectricalimpedance analysis (BIA) and computed tomography (CT) in assessing skeletal muscle massand identifying low muscle mass in patients with colorectal cancer. Methods: This study recruited137 patients with colorectal cancer from February 2028 to December 2023. CT scans were analyzedat the Lumbar 3 vertebral level to determine the area of skeletal muscle, which was then utilized toestimate whole-body skeletal muscle mass. [BIA] was also employed to measure skeletal muscle.Both skeletal muscle mass values [kg] were divided by height2 [m2] to calculate the skeletal muscleindex [SMI, kg/m2], denoted as SMI-CT and SMI-BIA, respectively. Results: The median age was69.8 + 9.5 years, with the sex ratio being 88/49 [male/female]. Whereas more than one-third of thepatients were classified as malnourished based on the Global Leadership Initiative on MalnutritionGLIM-CT criteria using L3-SMI [n = 36.5%], fewer patients were classified as malnourished based onGLIM-BIA using SMI-BIA [n = 19.0%]. According to the CT analysis [low SMI-L3], 52 [38.0%] patientswere diagnosed as having poor muscle mass, whereas only 18 [13.1%] patients were identified ashaving low muscle mass using BIA [low SMIBIA]. The measured SMI showed a positive associationwith SMI-CT in all patients [r = 0.63, p < 0.001]. Using Bland–Altman evaluation, a significant meanbias of 0.45 + 1.41 kg/m2 [95% CI 0.21–0.70; p < 0.001] between SMI-BIA and SMI-CT was reported.Receiver operating characteristic (ROC) curves were generated to detect poor muscle mass usingSMI-BIA with CT as the gold standard. The area under the curve (AUC) for SMI-BIA in identifyingpoor muscle mass was 0.714 (95% CI: 0.624–0.824), with a good cut-off value of 8.1 kg/m2, yielding asensitivity of 68.3% and a specificity of 66.9%. [-25]Conclusions: BIA generally overestimates skeletalmuscle mass in colorectal cancer patients when contrasted to CT. As a result, BIA may underestimatethe prevalence of poor muscle mass and malnutrition according to the GLIM criteria in thispatient population
PB MDPI
YR 2024
FD 2024
LK https://uvadoc.uva.es/handle/10324/73686
UL https://uvadoc.uva.es/handle/10324/73686
LA eng
NO Nutrients, 2024, vol. 16, 3035
NO Producción Científica
DS UVaDOC
RD 04-abr-2025