García Rodríguez, María TeresaPértega-Díaz, SoniaLópez-Calviño, BeatrizPiñón-Villar, María del CarmenOtero-Ferreiro, AlejandraSuárez-López, FranciscoGómez-Gutiérrez, ManuelSeoane-Pillado, TeresaPita-Fernández, Salvador2025-03-172025-03-172018-04-25García-Rodríguez MT, Pértega-Díaz S, López-Calviño B, Piñón-Villar MDC, Otero-Ferreiro A, Suárez-López F, Gómez-Gutiérrez M, Seoane-Pillado MT, Pita-Fernández S. Nomogram and validity of a model for predicting malnutrition in patients on liver transplant lists. Dig Dis Sci. 2018 Jul;63(7):1952-1961.0163-2116http://hdl.handle.net/2183/41451Observational study[Abstract] Background: Malnutrition is associated with increased morbimortality in liver transplant patients, and it is important to identify factors related to nutritional status in these patients. Aims: Determine variables associated with malnutrition and create a nomogram in liver transplant candidates. Methods: Cross-sectional study (n = 110). Variables: demographic variables, imbalances due to the disease, transplant aetiology and analytical parameters. Physical examination was performed and degree of hepatic dysfunction calculated. Nutritional status was assessed: Controlling Nutritional Status, Spanish Society of Parenteral and Enteral Nutrition criteria, Nutritional Risk Index, Prognostic Nutritional Index or Onodera Index and The Subjective Global Assessment. Logistic regression analysis was performed. A predictive nomogram (discrimination and calibration analysis) was generated. Results: Malnourishment was defined according to at least 4 or more of the methods studied. Patients with ascites, encephalopathy and portal hypertension presented malnourishment more frequently. Malnutrition was associated with greater liver dysfunction and lower grip strength. Variables independently associated with malnourishment were encephalopathy and lower albumin values. A nomogram was created to predict malnourishment, with good discriminatory power and calibration. Conclusions: A score was developed for evaluating malnutrition risk. This would provide a tool that makes it possible to quickly and easily identify the risk of malnutrition in liver transplant candidates.engThis version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at Springer Nature Link web page.CirrhosisLiver transplantMalnutritionNomogramjournal articleopen access10.1007/s10620-018-5079-3