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Propuesta de un modelo predictivo del posible desarrollo de la diabetes mellitus postrasplante renal

Keywords: post-transplantation diabetes mellitus, predictive program, risk factor, logistic regression.

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Abstract:

renal post-transplantation diabetes mellitus if frequent, early, multifactor, and of a peculiar significance; it is linked to appearance of a chronic nephropathy, and cardiovascular processes, mainly causes of mortality, and graft failure. a total of 307 renal transplantation patients were studied, excluding the diabetic ones before transplantation, the re-transplantation, and those whose graft don't exceed of a year of life to create a predictive model allowing know the possibilities percentage to develop this condition. we made a retrospective cohort study, considering pre-transplantation complications. we applied a binary logistic regression model with a statistic significance < 0, 05 and/or a odds ratio different from 1, recipient age, familiar backgrounds of diabetes, infection from hepatitis c, cholesterol figures, triglycerides, and pre-transplantation glycemia. we create a excel system program allowing us to made the prediction. now, it is essential to validate this proposal by means of a prospective, multicenter study including a great number of patients.

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