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Predicting Chronic Kidney Disease Progression with Artificial Intelligence by Mario A. Isaza-Ruget; Nancy Yomayusa; Camilo A. González; Catherine Alvarado H.; Fabio A. de Oro V.; Andrés Cely; Jossie Murcia; Abel Gonzalez-Velez; Adriana Robayo; Claudia C. Colmenares-Mejía; Andrea Castillo; María I. Conde is a Medicine article available to read on EtoBox.

What is Predicting Chronic Kidney Disease Progression with Artificial Intelligence about?

## Background The use of tools that allow estimation of the probability of progression of chronic kidney disease (CKD) to advanced stages has not yet achieved significant practical importance in clinical setting. This study aimed to develop and validate a machine learning-based model for predicting the need for renal replacement therapy (RRT) and disease progression for patients with stage 3–5 CKD. ## Methods This was a retrospective, closed cohort, observational study. Patients with CKD affiliated with a private insurer with five-year follow-up data were selected. Demographic, clinical, and laboratory variables were included, and the models were developed based on machine learning methods. The outcomes were CKD progression, a significant decrease in the estimated glomerular filtration rate (eGFR), and the need for RRT. ## Results Three prediction models were developed—Model 1 (risk at 4.5 years, __n__ = 1446) with a F1 of 0.82, 0.53, and 0.55 for RRT, stage progression, and reduction in the eGFR, respectively,— Model 2 (time- to-event, __n__ = 2143) with a C-index of 0.89, 0.67, and 0.67 for RRT, stage progression, reduction in the eGFR, respectively, and Model 3 (reduced Model 2)

Who reads Predicting Chronic Kidney Disease Progression with Artificial Intelligence?

Author

Mario A. Isaza-Ruget; Nancy Yomayusa; Camilo A. González; Catherine Alvarado H.; Fabio A. de Oro V.; Andrés Cely; Jossie Murcia; Abel Gonzalez-Velez; Adriana Robayo; Claudia C. Colmenares-Mejía; Andrea Castillo; María I. Conde

Publisher

BioMed Central

Published

2024

Language

EN

Field

Medicine (Health Sciences)