Prevalence of protein-energy wasting in dialysis patients using a practical online tool to compare with other nutritional scores: Results of the nutrendial study

Arias-Guillén, Marta; Collado Nieto, Silvia; Coll, Elisabeth; Carreras, Jordi; Betancourt, Loreley; Romano, Bárbara; Fernández, Marisol; Duarte, Verónica; Garro, Julia; Soler-Majoral, Jordi; González, Juan Carlos; Calabia, Jordi

doi:http://dx.doi.org/10.3390/nu14163375

Prevalence of protein-energy wasting in dialysis patients using a practical online tool to compare with other nutritional scores: Results of the nutrendial study

License

Citation

Arias-Guillén M, Collado S, Coll E, Carreras J, Betancourt L, Romano B, Fernández M, Duarte V, Garro J, Soler J, González JC, Calabia J. Prevalence of protein-energy wasting in dialysis patients using a practical online tool to compare with other nutritional scores: Results of the nutrendial study. Nutrients. 2022 Aug 17;14(16):3375. DOI: 10.3390/nu14163375

Abstract

This cross-sectional study aims to explore the prevalence of protein-energy wasting (PEW) in dialysis patients in Catalonia, Spain, using a new and practical online tool which enables rapid calculation and comparison with other nutritional scores. Methods: A web tool (Nutrendial) was created to introduce different variables and automatically calculate PEW, Malnutrition inflammation Score (MIS) and Subjective Global Assessment (SGA) in 1389 patients (88% in haemodialysis (HD)), 12% in peritoneal dialysis (PD) from different regions of Catalonia. Results: A prevalence of 23.3% (26% HD, 10.2% PD) of PEW was found, with a mean MIS score of 6 and SGA score of C in 7% of the patients. ROC analysis showed MIS as the best nutritional score to diagnose PEW (AUC 0.85). Albumin delivered lower diagnostic precision (AUC 0.77) and sensitivity (66%). A cut off point of 7 (86% sensitivity and 75% specificity) for MIS and 3.7 mg/dL for albumin were found to predict the appearance of PEW in this population. SGA B or C showed an 87% sensitivity and 55% specificity to diagnose PEW. Very low nutritional intervention (14%) was recorded with this tool in patients with PEW. Conclusions: This new online tool facilitated the calculation of PEW, enabling different professionals-including nephrologists, dieticians and nurses-to efficiently obtain insights into the nutritional status of the Catalonian dialysis population and implement the required nutritional interventions. MIS is the score with more sensitivity to diagnose PEW.