Acute Kidney Injury (Nontraumatic) Clinical Trial
— AKIriskOfficial title:
Biomarkers in Estimation for Risk of Acute Kidney Injury in Cardiac Surgery
Acute kidney injury (AKI) is the most common complication in patients after cardiac surgery. An usual estimation of risk for AKI is estimation of serum creatinine, which is unreliable indicator of AKI risk. Because of that, today different biomarkers are investigated to predict incidence for development AKI after cardiac surgery. This investigation will try to find potentially risk patients for developing AKI after cardiac surgery by using conventional markers (creatinine, glomerular filtration rate) in perioperative period comparing with two different biomarkers neutrophil gelatinase-associated lipocalin (NGAL) and growth differentiation factor 15 (GDF-15) which are proven markers in patients with increased risk for AKI development.
Status | Not yet recruiting |
Enrollment | 50 |
Est. completion date | December 31, 2022 |
Est. primary completion date | December 31, 2022 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years to 80 Years |
Eligibility | Inclusion Criteria: - patients scheduled for cardiac surgery (CABG, valve replacement/repair, combined) - older than 18 years Exclusion Criteria: - previous known renal disease - patients on chronic dialysis |
Country | Name | City | State |
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n/a |
Lead Sponsor | Collaborator |
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Nikola Bradic, MD |
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Consecutive values of neutrophil gelatinase-associated lipocalin (NGAL) | By the changing of NGAL values in consecutive measuring, predict which patients are in increased risk for development of AKI | One year | |
Primary | Consecutive values of growth differentiation factor 15 (GDF-15) | By the changing of GDF-15 values in consecutive measuring, predict which patients are in increased risk for development of AKI | One year | |
Primary | Consecutive values of glomerular filtration rate (GFR) | By the changing of GFR values in consecutive measuring, predict which patients are in increased risk for development of AKI | One Year |
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