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

NCT01844219 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 375

Last updated 2013-12-25

No results posted yet for this study

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.

Conditions

  • Aortic Surgery
  • Postoperative Acute Kidney Injury

Interventions

PROCEDURE

elective or emergency aortic surgery (including ascending, arch, descending thoracic aorta)

Sponsors & Collaborators

  • Samsung Medical Center

    lead OTHER

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2013-04-30
Primary Completion
2013-09-30
Completion
2013-09-30

Countries

  • South Korea

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT01844219 on ClinicalTrials.gov