Concordance among methods of nutritional assessment in patients included on the waiting list for liver transplantation
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Concordance among methods of nutritional assessment in patients included on the waiting list for liver transplantationAuthor(s)
Date
2017-05-23Citation
García-Rodríguez MT, López-Calviño B, Piñón-Villar MC, Otero-Ferreiro A, Suárez-López F, Gómez-Gutiérrez M, et al. Concordance among methods of nutritional assessment in patients included on the waiting list for liver transplantation. J Epidemiol. 2017;27(10):469-475
Abstract
[Abstract] Background: The aim of the present study was to determine the extent of malnutrition in patients waiting for a liver transplant. The agreement among the methods of nutritional assessment and their diagnostic validity were evaluated.
Methods: Patients on the waiting list for liver transplantation (n = 110) were studied. The variables were: body mass index, analytical parameters, liver disease etiology, and complications. Liver dysfunction was evaluated using the Child-Pugh Scale. Nutritional state was studied using the Controlling Nutritional Status (CONUT), the Spanish Society of Parenteral and Enteral Nutrition (SENPE) criteria, the Nutritional Risk Index (NRI), the Prognostic Nutritional Index (PNI-O), and the Subjective Global Assessment (SGA). Agreement was determined using the Kappa index. Area under receiver operator characteristic curves (AUCs), the Youden index (J), and likelihood ratios were computed.
Results: Malnutrition varied depending on the method of evaluation. The highest value was detected using the CONUT (90.9%) and the lowest using the SGA (50.9%). The pairwise agreement among the methods ranged from K = 0.041 to K = 0.826, with an overall agreement of each criteria with the remaining methods between K = 0.093 and K = 0.364. PNI-O was the method with the highest overall agreement. Taking this level of agreement into account, we chose the PNI-O as a benchmark method of comparison. The highest positive likelihood ratio for the diagnosis of malnutrition was obtained from the Nutritional Risk Index (13.56).
Conclusions: Malnutrition prevalence is high and prevalence estimates vary according the method used, with low concordance among methods. PNI-O and NRI are the most consistent methods to identify malnutrition in these patients.
Keywords
Concordance
Diagnostic accuracy
Liver transplantation
Malnutrition
Validity
Diagnostic accuracy
Liver transplantation
Malnutrition
Validity
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Rights
Atribución 3.0 España
ISSN
0917-5040