Accuracy of Pre-existing Risk Scoring Models for Predicting Acute Kidney Injury in Patients Who Underwent Aortic Surgery Using a Gray Zone Approach

Postoperative Acute Kidney Injury Clinical Trial

Official title: Accuracy of Pre-existing Risk Scoring Models for Predicting Acute Kidney Injury in Patients Who Underwent Aortic Surgery Using a Gray Zone Approach

Status Completed

Clinical Trial Summary

Acute kidney injury after cardiac surgery has been reported to increase morbidity and mortality. Several risk scoring models for prediction of aortic kidney injury after cardiac surgery have been developed. However, predictive accuracy of these models is stil unclear. The aim of this study is to evaluate the accuracy of four pre-existing prediction models using a gray zone approach in patients who underwent aortic surgery in our institution.

Clinical Trial Description

Acute kidney injury after cardiac surgery has been reported to increase morbidity and mortality. Several risk scoring models for prediction of aortic kidney injury after cardiac surgery have been developed. However, predictive accuracy of these models is stil unclear. The aim of this study is to evaluate the accuracy of four pre-existing prediction models (AKICS, Wijeysundera, Mehta, and Thakar model)using a gray zone approach in patients who underwent aortic surgery in our institution. Based on receiver operating characteristic (ROC) curve analysis, we will construct a gray zone using the cut-off values with a sensitivity of < 90%, and a specificity of < 90% (diagnostic tolerance of 10%). ;

Study Design

Observational Model: Cohort, Time Perspective: Retrospective

Related Conditions & MeSH terms

• Acute Kidney Injury
• Aortic Surgery
• Postoperative Acute Kidney Injury

• NCT number: NCT01844219
• Study type: Observational
• Source: Samsung Medical Center
• Status: Completed
• Phase: N/A
• Start date: April 2013
• Completion date: September 2013