Selected article for: "dependent variable and logistic regression"

Author: Drewitz, Karl Philipp; Loss, Martin; Loss, Julika; Apfelbacher, Christian Joachim
Title: Predictors of non-transplantation of adult donor organs--an observational study using routine data from Eurotransplant.
  • Cord-id: ha4521bd
  • Document date: 2014_1_1
  • ID: ha4521bd
    Snippet: BACKGROUND The majority of pancreases, offered in allocation, are not transplanted. This pancreas under-utilisation is a phenomenon observed in all transplant systems in North-America and Europe. It was the aim of this study to analyse factors predictive of pancreas non-transplantation in Germany. METHODS Routine Eurotransplant data of 3,666 deceased German donors (from 2002-2011) were used for multivariate modelling. Socio-demographic and medical factors were considered as independent variables
    Document: BACKGROUND The majority of pancreases, offered in allocation, are not transplanted. This pancreas under-utilisation is a phenomenon observed in all transplant systems in North-America and Europe. It was the aim of this study to analyse factors predictive of pancreas non-transplantation in Germany. METHODS Routine Eurotransplant data of 3,666 deceased German donors (from 2002-2011) were used for multivariate modelling. Socio-demographic and medical factors were considered as independent variables in logistic regression models with non-transplantation as dependent variable. RESULTS Male gender, advanced age, overweight/obesity, long ICU stay, a history of smoking, non-traumatic brain death, elevated levels of sodium, serum glucose, lipase/amylase and the liver not being considered for procurement were significant independent predictors of non-transplantation. CONCLUSION In line with previous research, advanced age, high BMI, long ICU stay and the liver not being considered for procurement were the strongest predictors of pancreas non-transplantation in Germany. About three quarters of the variance remained unexplained, suggesting that factors not assessed or unknown may play a decisive role.

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