Phase angle as predictor of malnutrition in people living with HIV/AIDS
| Autor: | Santiago Ávila-Ríos, María de los Angeles Salazar Arenas, Iván Armando Osuna-Padilla, Adriana Aguilar Vargas, Julia Aurora Montano Rivas, Nadia Carolina Rodríguez Moguel |
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| Rok vydání: | 2021 |
| Předmět: |
Male
medicine.medical_specialty Multivariate statistics Population Nutritional Status Medicine (miscellaneous) GLIM HIV Infections Sensitivity and Specificity Acquired immunodeficiency syndrome (AIDS) Internal medicine Electric Impedance Humans Medicine education education.field_of_study Nutrition and Dietetics business.industry Malnutrition Retrospective cohort study Odds ratio medicine.disease Nutrition Assessment Body Composition Female business Bioelectrical impedance analysis |
| Zdroj: | Nutrition in Clinical Practice. 37:146-152 |
| ISSN: | 1941-2452 0884-5336 |
| DOI: | 10.1002/ncp.10744 |
| Popis: | Phase angle (PhA), measured by bioelectrical impedance analysis (BIA) has been studied as an indicator of survival in people living with HIV (PLWH). However, it remains unclear whether PhA is associated with malnutrition or low CD4+ T-cell counts.In this study, we assessed the discriminative capacity of PhA for malnutrition detection using Global Leadership Initiative on Malnutrition (GLIM) criteria in PLWH, aiming to propose cutoff points for this population.This retrospective observational study included 427 adult PLWH (13% female). Participants were classified according to malnutrition status by using GLIM criteria. Body composition was assessed by using BIA. CD4+ T-cell counts were determined by flow cytometry.According to GLIM criteria, 30% of the participants were malnourished. Multivariate regression analysis showed that PhA (adjusted odds ratio [OR], 0.10; 95% CI, 0.05-0.18; P0.001), fat-mass percentage (adjusted OR, 0.86; 95% CI, 0.82-0.90; P0.001), and male sex (adjusted OR, 0.26; 95% CI, 0.09-0.76; P = 0.013) were independently associated with malnutrition. A PhA cutoff of 5.45° in men and 4.95° in women may predict malnutrition with sensitivity and specificity70%.PhA could be a valid, useful, and simple predictor of malnutrition in PLWH. |
| Databáze: | OpenAIRE |
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