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 
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| Journal |    :  
                  Biomarker research 
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| Volume |    :  
                  6 
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| Number of Pages |    :  
                  3 
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| Date Published |    :  
                  2018 
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| URL |    :  
                  https://biomarkerres.biomedcentral.com/articles/10.1186/s40364-018-0117-z 
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| DOI |    :  
                  10.1186/s40364-018-0117-z 
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| Short Title |    :  
                  Biomark Res 
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