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
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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