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

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 covariab...

Full description

Saved in:
Bibliographic Details
Published in:Journal of aging research 2020, Vol.2020 (2020), p.1-13
Main Authors: Feitosa, Saulo José da Costa, Santos Elihimas, Helen Conceição dos, Alves, Emilly Pereira, José de Carvalho Lima, Marcio, Branco Cavalcanti, Frederico Castelo, Schwingel, Paulo Adriano, Alencar, Saulo Barbosa Vasconcelos, Cabral, Diogo Buarque Cordeiro, Aguiar, Filipe Carrilho, Tenório de França, Eduardo Eriko, Barros de Oliveira Sá, Michel Pompeu, Pereira, Wallace, Couto, Jamila Pinho, Elihimas Júnior, Ubiracé Fernando, Claizoni dos Santos, Thais Oliveira
Format: Article
Language:English
Subjects:
Age
Aging
Chronic kidney failure
Diabetes
Epidemiology
Health aspects
Kidney diseases
Kidney transplants
Kidneys
Life expectancy
Machine learning
Medical research
Medicine, Experimental
Older people
Organ transplant recipients
Patients
Population
Quality of life
Structured Query Language-SQL
Transplantation
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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 = 0.006) in youngers (70.9 ± 25.2 mL/min/1.73 m2) versus elderlies (53.3 ± 21.1 mL/min/1.73 m2). There was no difference in death outcome comparison. Multivariable analysis among covariables predisposing chronic kidney disease epidemiology collaboration (CKD-EPI) equation
ISSN:2090-2204
2090-2212
2090-2212
DOI:10.1155/2020/7413616