Development of biomarker combinations for postoperative acute kidney injury via Bayesian model selection in a multicenter cohort study.
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| Abstract | :  Acute kidney injury (AKI) is a frequent complication of cardiac surgery. We sought prognostic combinations of postoperative biomarkers measured within 6 h of surgery, potentially in combination with cardiopulmonary bypass time (to account for the degree of insult to the kidney). We used data from a large cohort of patients and adapted methods for developing biomarker combinations to account for the multicenter design of the study. | 
| Year of Publication | :  0 | 
| Journal | :  Biomarker research | 
| Volume | :  6 | 
| Number of Pages | :  3 | 
| Date Published | :  2018 | 
| URL | :  https://biomarkerres.biomedcentral.com/articles/10.1186/s40364-018-0117-z | 
| DOI | :  10.1186/s40364-018-0117-z | 
| Short Title | :  Biomark Res | 
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