Development of biomarker combinations for postoperative acute kidney injury via Bayesian model selection in a multicenter cohort study

Development of biomarker combinations for postoperative acute kidney injury via Bayesian model selection in a multicenter cohort study

Abstract Background 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)....

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Bibliographic Details
Main Authors: Allison Meisner, Kathleen F. Kerr, Heather Thiessen-Philbrook, Francis Perry Wilson, Amit X. Garg, Michael G. Shlipak, Peter Kavsak, Richard P. Whitlock, Steven G. Coca, Chirag R. Parikh
Format: Article
Language:English
Published: BMC 2018-01-01
Series:Biomarker Research
Subjects:
Acute kidney injury
Cardiac surgery
Biomarkers combinations
Prognostic
Online Access:http://link.springer.com/article/10.1186/s40364-018-0117-z

Internet

http://link.springer.com/article/10.1186/s40364-018-0117-z

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