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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