Contemporary Methods for Predicting Acute Kidney Injury After Coronary Intervention.

ABSTRACT:

Background

Acute kidney injury (AKI) is the most common complication after percutaneous coronary intervention (PCI). Accurately estimating patients' risks not only creates a means of benchmarking performance but can also be used prospectively to inform practice.

Objectives

The authors sought to update the 2014 National Cardiovascular Data Registry (NCDR) AKI risk model to provide contemporary estimates of AKI risk after PCI to further improve care.

Methods

Using the NCDR CathPCI Registry, we identified all 2020 PCIs, excluding those on dialysis or lacking postprocedural creatinine. The cohort was randomly split into a 70% derivation cohort and a 30% validation cohort, and logistic regression models were built to predict AKI (an absolute increase of 0.3 mg/dL in creati

SUBMITTER: Uzendu A 

PROVIDER: S-EPMC10795198 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature