Logistic Regression Model in a Machine Learning Application to Predict Elderly Kidney Transplant Recipients with Worse Renal Function One Year after Kidney Transplant: Elderly KTbot.

Logistic Regression Model in a Machine Learning Application to Predict Elderly Kidney Transplant Recipients with Worse Renal Function One Year after Kidney Transplant: Elderly KTbot. J Aging Res. 2020;2020:7413616 Authors: Elihimas Júnior UF, Couto JP, Pereira W, Barros de Oliveira Sá MP, Tenório de França EE, Aguiar FC, Cabral DBC, Alencar SBV, Feitosa SJDC, Claizoni Dos Santos TO, Dos Santos Elihimas HC, Alves EP, José de Carvalho Lima M, Branco Cavalcanti FC, Schwingel PA Abstract Background: Renal replacement therapy (RRT) is a public health problem worldwide. Kidney transplantation (KT) is the best treatment for elderly patients' longevity and quality of life. Objectives: The primary endpoint was to compare elderly versus younger KT recipients by analyzing the risk covariables involved in worsening renal function, proteinuria, graft loss, and death one year after KT. The secondary endpoint was to create a robot based on logistic regression capable of predicting the likelihood that elderly recipients will develop worse renal function one year after KT. Method: Unicentric retrospective analysis of a cohort was performed with individuals aged ≥60 and 0.05) between groups were observed after KT on laboratory data means and for the prevalences of diabetes mellitus, hypertension, acute rejection, cytomegalovirus, polyomavirus, and urinary infections. One year after KT, the creatinine clearance was higher (P&thi...
Source: Journal of Aging Research - Category: Geriatrics Tags: J Aging Res Source Type: research

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Source: Expert Review of Hematology - Category: Hematology Tags: Expert Rev Hematol Source Type: research
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Source: Blood Pressure - Category: Hematology Tags: Blood Press Source Type: research
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Source: Blood Pressure - Category: Hematology Tags: Blood Press Source Type: research
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Source: American Journal of Kidney Diseases - Category: Urology & Nephrology Source Type: research
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Source: New Zealand Medical Journal - Category: General Medicine Tags: N Z Med J Source Type: research
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Source: Expert Opinion on Pharmacotherapy - Category: Drugs & Pharmacology Tags: Expert Opin Pharmacother Source Type: research
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Source: Journal of Clinical Neurology - Category: Neurology Tags: J Clin Neurol Source Type: research
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