Observational studyDigestive diseases and sciences2018
Nomogram and Validity of a Model for Predicting Malnutrition in Patients on Liver Transplant Lists.
Observational study in Digestive diseases and sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 7 citations in OpenAlex.
- Article
- Establishment and validation of a nomogram model for riskprediction of hepatic encephalopathy: a retrospective analysis.Scientific reports · 2023Article
- A nomogram model for predicting malnutrition among older hospitalized patients with type 2 diabetes: a cross-sectional study in China.BMC geriatrics · 2023Article
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundMalnutrition is associated with increased morbimortality in liver transplant patients, and it is important to identify factors related to nutritional status in these patients.
aimsDetermine variables associated with malnutrition and create a nomogram in liver transplant candidates.
methodsCross-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.
resultsMalnourishment 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.
conclusionsA 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.
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