Low phase angle values are associated with malnutrition according to the global leadership initiative on malnutrition criteria in kidney transplant candidates: preliminary assessment of diagnostic accuracy in the FRAILMar study

Malnutrition has a negative impact on patients with chronic diseases and its early identification is a priority. The primary objective of this diagnostic accuracy study was to assess the performance of the phase angle (PhA), a bioimpedance analysis (BIA)-derived parameter, for malnutrition screening...

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Detalles Bibliográficos
Autores: Muñoz Redondo, Elena, Morgado Pérez, Andrea, Pérez-Sáez, María José, Faura, Anna, Sánchez-Rodríguez, Dolores, Tejero Sánchez, Marta, Meza Valderrama, Delky, Muns, Maria Dolors, Pascual, Julio (Pascual Santos), Marco Navarro, Ester
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Institución:Universitat Pompeu Fabra
Repositorio:Repositorio Digital de la UPF
OAI Identifier:oai:repositori.upf.edu:10230/57273
Acceso en línea:http://hdl.handle.net/10230/57273
http://dx.doi.org/10.3390/nu15051084
Access Level:acceso abierto
Palabra clave:Phase angle
Malnutrition
GLIM
Muscle mass
Advanced chronic kidney disease
Prehabilitation
Descripción
Sumario:Malnutrition has a negative impact on patients with chronic diseases and its early identification is a priority. The primary objective of this diagnostic accuracy study was to assess the performance of the phase angle (PhA), a bioimpedance analysis (BIA)-derived parameter, for malnutrition screening using the Global Leadership Initiative for Malnutrition (GLIM) criteria as the reference standard in patients with advanced chronic kidney disease (CKD) waiting for kidney transplantation (KT); criteria associated with low PhA in this population were also analyzed. Sensitivity, specificity, accuracy, positive and negative likelihood ratios, predictive values, and area under the receiver operating characteristic curve were calculated for PhA (index test) and compared with GLIM criteria (reference standard). Of 63 patients (62.9 years old; 76.2% men), 22 (34.9%) had malnutrition. The PhA threshold with the highest accuracy was ≤4.85° (sensitivity 72.7%, specificity 65.9%, and positive and negative likelihood ratios 2.13 and 0.41, respectively). A PhA ≤ 4.85° was associated with a 3.5-fold higher malnutrition risk (OR = 3.53 (CI95% 1.0–12.1)). Considering the GLIM criteria as the reference standard, a PhA ≤ 4.85° showed only fair validity for detecting malnutrition, and thus cannot be recommended as a stand-alone screening tool in this population.