A predictive model for progression of CKD.

ABSTRACT: The prevalence of chronic kidney disease (CKD) in Taiwan is 11.9%, and the incidence and prevalence of end-stage renal disease (ESRD) is ranked first in the world. The severity of CKD progression to ESRD is dependent on glomerular filtration rate and proteinuria. However, the risk factors for ESRD also include diabetes, hypertension, hyperlipidemia, age, sex, and so on, and predicting CKD progression using few variables is insufficient. Currently, there are no models with high accuracy and high explanatory power that could predict the risk of progression to dialysis in CKD patients in Taiwan. Our aim was to establish an optimal prediction model for CKD progression in patientsThis study was a retrospective cohort study, which reviewed data from the "Public health insurance Pre-ESRD preventi

SUBMITTER: Chang HL 

PROVIDER: S-EPMC6617424 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature