Prediction Model and Risk Stratification Tool for Survival in Patients With CKD.

ABSTRACT:

Introduction

Because chronic kidney disease (CKD) adversely affects survival, prediction of mortality risk should help to identify individuals requiring therapeutic intervention. The goal of this project was to construct and to validate a risk scoring system and prediction model of the probability of 2-year mortality in a CKD population.

Methods

We applied the Woodpecker approach to develop prediction equations using linear, exponential, and combined models. A risk indicator R on a scale of 0 to 10 was calculated as follows: starting with 0, add 0.048 for each year of age above 20, 0.45 for male sex, 0.49 for each stage of CKD over stage 2, 1.04 for proteinuria, 0.72 for smoking history, and 0.49 for each significant comorbidity up to 5.

Results

Using R

SUBMITTER: Goldfarb-Rumyantzev AS 

PROVIDER: S-EPMC5932311 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature