Association between GLIM-defined malnutrition and hospitalizations in kidney transplant candidates: A post hoc analysis of a cohort study.
Vanesa Dávalos-Yerovi, Maria José Pérez-Sáez, Anna Faura-Vendrell, Maria Dolors Muns-Cornellas, Xavier Duran, Dolores Sánchez-Rodríguez, Julio Pascual, Ester Marco, FRAILMar Study Group
Author Information
Vanesa Dávalos-Yerovi: Rehabilitation Research Group, Hospital del Mar Medical Research Institute, Barcelona, Spain. ORCID
Maria José Pérez-Sáez: Department of Nephrology, Hospital del Mar, Parc de Salut Mar, Barcelona, Spain.
Anna Faura-Vendrell: Department of Nephrology, Hospital del Mar, Parc de Salut Mar, Barcelona, Spain.
Maria Dolors Muns-Cornellas: Endocrinology and Nutrition Department, Hospital del Mar, Barcelona, Spain.
Xavier Duran: Methodology and Biostatistics Support Unit, Hospital del Mar Medical Research Institute, Barcelona, Spain.
Dolores Sánchez-Rodríguez: Rehabilitation Research Group, Hospital del Mar Medical Research Institute, Barcelona, Spain. ORCID
Julio Pascual: Rehabilitation Research Group, Hospital del Mar Medical Research Institute, Barcelona, Spain.
Ester Marco: Rehabilitation Research Group, Hospital del Mar Medical Research Institute, Barcelona, Spain.
BACKGROUND: Malnutrition is frequent in patients with chronic kidney disease (CKD) and has a negative impact on morbidity, mortality, and quality of life. The objective of this study was to assess the value of the Global Leadership Initiative for Malnutrition (GLIM) criteria to predict hospitalizations and mortality in candidates to kidney transplant during their first year on the waiting list. METHODS: This was a post hoc analysis of 368 patients with advanced CKD. The main study variables were malnutrition, according to the GLIM criteria; number of hospital admissions during the first year on the waiting list; and mortality at the end of follow-up. Kaplan-Meier survival curves and binary logistic regression were performed, adjusting for age, frailty status, handgrip strength, and Charlson Index as potential confounders. RESULTS: The prevalence of malnutrition was 32.6%. Malnutrition was associated with increased risk of hospitalizations during the first year on the waiting list (odds ratio [OR] = 3.33 [95% CI = 1.34-8.26]), which persisted after adjustment for age and frailty status (adjusted OR = 3.61 [95% CI = 1.38-10.7]), age and handgrip strength (adjusted OR = 3.39 [95% CI = 1.3-8.85]), and age and Charlson Index (adjusted OR = 3.25 [95% CI = 1.29-8.13]). CONCLUSION: Malnutrition according to the GLIM criteria was highly prevalent in patients with CKD and was associated with a threefold increased risk of hospitalizations during the first year on the waiting list; these associations remained significant after adjusting for age, frailty status, handgrip strength, and comorbidities.
Wang V, Vilme H, Maciejewski ML, Boulware LE. The economic burden of chronic kidney disease and end-stage renal disease. Sem Nephrol. 2016;36(4):319-330.
Kidney Disease: Improving Global Outcomes (KDIGO) CKD Work Group. KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney Int Suppl. 2013;3(11):1-150.
Murphy D, McCulloch CE, Lin F, et al. Trends in prevalence of chronic kidney disease in the United States. Ann Intern Med. 2016;165(7):473-481.
De Nicola L, Zoccali C. Chronic kidney disease prevalence in the general population: heterogeneity and concerns. Nephrol Dial Transplant. 2016;31(3):331-335.
Hill NR, Fatoba ST, Oke JL, et al. Global prevalence of chronic kidney disease-a systematic review and meta-analysis. PLoS One. 2016;11(7):e0158765.
Alp Ikizler T, Cano NJ, Franch H, et al. Prevention and treatment of protein energy wasting in chronic kidney disease patients: a consensus statement by the International Society of Renal Nutrition and Metabolism. Kidney Int. 2013;84(6):1096-1107.
Kovesdy CP, Kalantar-Zadeh K. Why is protein-energy wasting associated with mortality in chronic kidney disease? Sem Nephrol. 2009;29(1):3-14.
Kalantar-Zadeh K, Kilpatrick RD, Kuwae N, et al. Revisiting mortality predictability of serum albumin in the dialysis population: time dependency, longitudinal changes and population-attributable fraction. Nephrol Dial Transplant. 2005;20(9):1880-1888.
Moreau-Gaudry X, Jean G, Genet L, et al. A simple protein-energy wasting score predicts survival in maintenance hemodialysis patients. J Ren Nutr. 2014;24(6):395-400.
Hyun YY, Lee KB, Han SH, et al. Nutritional status in adults with predialysis chronic kidney disease: KNOW-CKD study. J Korean Med Sci. 2017;32(2):257-263.
Campbell KL, Ash S, Bauer JD, Davies PSW. Evaluation of nutrition assessment tools compared with body cell mass for the assessment of malnutrition in chronic kidney disease. J Ren Nutr. 2007;17(3):189-195.
Cupisti A, D'Alessandro C, Morelli E, et al. Nutritional status and dietary manipulation in predialysis chronic renal failure patients. J Ren Nutr. 2004;14(3):127-133.
Pérez-Torres A, González Garcia ME, San José-Valiente B, et al. Protein-energy wasting syndrome in advanced chronic kidney disease: prevalence and specific clinical characteristics. Nefrología (Engl Ed). 2018;38(2):141-151.
Obi Y, Qader H, Kovesdy CP, Kalantar-Zadeh K. Latest consensus and update on protein energy wasting in chronic kidney disease. Curr Opin Clin Nutr Metab Care. 2015;18(3):254-262.
Carrero JJ, Thomas F, Nagy K, et al. Global prevalence of protein-energy wasting in kidney disease: a meta-analysis of contemporary observational studies from the International Society of Renal Nutrition and Metabolism. J Ren Nutr. 2018;28(6):380-392.
White JV, Guenter P, Jensen G, Malone A, Schofield M. Consensus statement: Academy of Nutrition and Dietetics and American Society for Parenteral and Enteral Nutrition: characteristics recommended for the identification and documentation of adult malnutrition (undernutrition). JPEN J Parenter Enteral Nutr. 2012;36(3):275-283.
Cederholm T, Bosaeus I, Barazzoni R, et al. Diagnostic criteria for malnutrition-an ESPEN consensus statement. Clin Nutr. 2015;34(3):335-340.
Cederholm T, Barazzoni R, Austin P, et al. ESPEN guidelines on definitions and terminology of clinical nutrition. Clin Nutr. 2017;36(1):49-64.
Evans WJ, Morley JE, Argilés J, et al. Cachexia: a new definition. Clin Nutr. 2008;27(6):793-799.
Fouque D, Kalantar-Zadeh K, Kopple J, et al. A proposed nomenclature and diagnostic criteria for protein-energy wasting in acute and chronic kidney disease. Kidney Int. 2008;74(4):391-398.
Cederholm T, Jensen GL, Correia MITD, et al. GLIM criteria for the diagnosis of malnutrition-a consensus report from the global clinical nutrition community. J Cachexia Sarcopenia Muscle. 2019;10(1):207-217.
Boslooper-Meulenbelt K, van Vliet IMY, Gomes-Neto AW, et al. Malnutrition according to GLIM criteria in stable renal transplant recipients: reduced muscle mass as predominant phenotypic criterion. Clin Nutr. 2021;40(5):3522-3530.
Lynch RJ, Zhang R, Patzer RE, Larsen CP, Adams AB. Waitlist hospital admissions predict resource utilization and survival after renal transplantation. Ann Surg. 2016;264(6):1168-1173. doi:10.1097/SLA.0000000000001574
Vandenbroucke JP, von Elm E, Altman DG, et al. Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): explanation and elaboration. Int J Surg. 2014;12(12):1500-1524.
Wilson MMG, Thomas DR, Rubenstein LZ, et al. Appetite assessment: simple appetite questionnaire predicts weight loss in community-dwelling adults and nursing home residents. Am J Clin Nutr. 2005;82(5):1074-1081.
Schutz Y, Kyle U, Pichard C. Fat-free mass index and fat mass index percentiles in Caucasians aged 18-98 y. Int J Obes. 2002;26(7):953-960.
Cruz-Jentoft AJ, Bahat G, Bauer J, et al. Sarcopenia: revised European consensus on definition and diagnosis [Erratum in: Age Ageing. 2019;48: 601]. Age Ageing. 2019;48(4):16-31.
Fried LP, Tangen CM, Walston J, et al. Frailty in older adults: evidence for a phenotype. J Gerontol A Biol Sci Med Sci. 2001;56(3):M146-M157.
Landis JR, Koch GG. An application of hierarchical kappa-type statistics in the assessment of majority agreement among multiple observers. Biometrics. 1977;33(2):363-374.
Pérez-Sáez MJ, Morgado-Pérez A, Faura A, et al. The FRAILMar study protocol: frailty in patients with advanced chronic kidney disease awaiting kidney transplantation. A randomized clinical trial of multimodal prehabilitation. Front Med. 2021;8:675049.
Dávalos-Yerovi V, Marco E, Sánchez-Rodríguez D, et al. Malnutrition according to GLIM criteria is associated with mortality and hospitalizations in rehabilitation patients with stable chronic obstructive pulmonary disease. Nutrients. 2021;13(2):369.
Wojteczek A, Dardzińska JA, Małgorzewicz S, Gruszecka A, Zdrojewski Z. Prevalence of malnutrition in systemic sclerosis patients assessed by different diagnostic tools. Clin Rheumatol. 2020;39(1):227-232.
Rosato E, Gigante A, Gasperini ML, Proietti L, Muscaritoli M. Assessing malnutrition in systemic sclerosis with Global Leadership Initiative on Malnutrition and European Society of Clinical Nutrition and Metabolism Criteria. JPEN J Parenter Enteral Nutr. 2021;45(3):618-624.
Balci C, Bolayir B, Eşme M, et al. Comparison of the efficacy of the Global Leadership Initiative on Malnutrition Criteria, Subjective Global Assessment, and Nutrition Risk Screening 2002 in diagnosing malnutrition and predicting 5-year mortality in patients hospitalized for acute illnesses. JPEN J Parenter Enteral Nutr. 2021;45(6):1172-1180.
Cawthon PM, Visser M, Arai H, et al. Defining terms commonly used in sarcopenia research: a glossary proposed by the Global Leadership in Sarcopenia (GLIS) Steering Committee. Eur Geriatr Med. 2022;13(6):1239-1244.
Meza-Valderrama D, Marco E, Duarte E. Evaluación de la masa muscular en la práctica clínica en rehabilitación. Rehabilitación. 2020;54(1):1-2.
Sergi G, De Rui M, Veronese N, et al. Assessing appendicular skeletal muscle mass with bioelectrical impedance analysis in free-living Caucasian older adults. Clin Nutr. 2015;34(4):667-673.
Friedman AN, Fadem SZ. Reassessment of albumin as a nutritional marker in kidney disease. J Am Soc Nephrol. 2010;21(2):223-230.
de Mutsert R, Grootendorst DC, Indemans F, Boeschoten EW, Krediet RT, Dekker FW. Association between serum albumin and mortality in dialysis patients is partly explained by inflammation, and not by malnutrition. J Ren Nutr. 2009;19(2):127-135.
Gama-Axelsson T, Heimbürger O, Stenvinkel P, Bárány P, Lindholm B, Qureshi AR. Serum albumin as predictor of nutritional status in patients with ESRD [Erratum in: Clin J Am Soc Nephrol. 2012;7:1915]. Clin J Am Soc Nephrol. 2012;7(9):1446-1453.
Sun J, Su H, Lou Y, Wang M. Association between serum albumin level and all-cause mortality in patients with chronic kidney disease: a retrospective cohort study. Am J Med Sci. 2021;361(4):451-460.
Moorthi RN, Avin KG. Clinical relevance of sarcopenia in chronic kidney disease. Curr Opin Nephrol Hypertens. 2017;26(3):219-228.
Pereira RA, Cordeiro AC, Avesani CM, et al. Sarcopenia in chronic kidney disease on conservative therapy: prevalence and association with mortality. Nephrol Dial Transplant. 2015;30(10):1718-1725.
Souza VA, Oliveira D, Barbosa SR, et al. Sarcopenia in patients with chronic kidney disease not yet on dialysis: analysis of the prevalence and associated factors. PLoS One. 2017;12(4):e0176230.