Cardiac surgery-associated acute kidney injury: risk factors analysis and comparison of prediction models | Zendy

Darko Kristović | Zendy; Ivica Horvatić | Zendy; Ino Husedžinović | Zendy; Željko Sutlić | Zendy; Igor Rudež | Zendy; Davor Barić | Zendy; Daniel Unić | Zendy; Robert Blažeković | Zendy; Matija Crnogorac | Zendy

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Cardiac surgery-associated acute kidney injury: risk factors analysis and comparison of prediction models

Author(s) -

Darko Kristović,

Ivica Horvatić,

Ino Husedžinović,

Željko Sutlić,

Igor Rudež,

Davor Barić,

Daniel Unić,

Robert Blažeković,

Matija Crnogorac

Publication year - 2015

Publication title -

interactive cardiovascular and thoracic surgery

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.546

H-Index - 56

eISSN - 1569-9293

pISSN - 1569-9285

DOI - 10.1093/icvts/ivv162

Subject(s) - medicine , acute kidney injury , atrial fibrillation , kidney disease , cardiology , creatinine , cardiac surgery , heart failure , dialysis , peritoneal dialysis , incidence (geometry) , logistic regression , surgery , optics , physics

Cardiac surgery-associated acute kidney injury (AKI) is a well-known factor influencing patients' long-term morbidity and mortality. Several prediction models of AKI requiring dialysis (AKI-D) have been developed. Only a few direct comparisons of these models have been done. Recently, a new, more uniform and objective definition of AKI has been proposed [Kidney Disease: Improve Global Outcomes (KDIGO)-AKI]. The performance of these prediction models has not yet been tested.

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