Predicting Renal Recovery After Dialysis-Requiring Acute Kidney Injury.

ABSTRACT:

Introduction

After dialysis-requiring acute kidney injury (AKI-D), recovery of sufficient kidney function to discontinue dialysis is an important clinical and patient-oriented outcome. Predicting the probability of recovery in individual patients is a common dilemma.

Methods

This cohort study examined all adult members of Kaiser Permanente Northern California who experienced AKI-D between January 2009 and September 2015 and had predicted inpatient mortality of <20%. Candidate predictors included demographic characteristics, comorbidities, laboratory values, and medication use. We used logistic regression and classification and regression tree (CART) approaches to develop and cross-validate prediction models for recovery.

Results

Among 2214 patients with AKI-D, mean ag

SUBMITTER: Lee BJ 

PROVIDER: S-EPMC6451155 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature