Brown and colleagues evaluated levels of six biomarkers to determine if they improved the prediction of readmission after cardiac surgery: ST2, galectin-3, N-terminal pro-brain natriuretic peptide, cystatin C, interleukin-6, and interleukin-10. The addition of these biomarkers to a model based on only clinical risk factors improved the predictive ability of the model in the derivation cohort (area under the receiver-operating characteristics curve (AUROC) of 0.74 versus 0.66), but it did not improve prediction in an external validation cohort (AUROC of 0.52 versus 0.48).
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Utility of Biomarkers to Improve Prediction of Readmission or Mortality After Cardiac Surgery
Submitted by: Claire Vernon
Source: The Annals of Thoracic Surgery
Source URL: https://doi.org/10.1016/j.athoracsur.2018.06.052
Keywords:
Author(s): Jeremiah R. Brown, Jeffrey P. Jacobs, Shama S. Alam, Heather Thiessen-Philbrook, Allen Everett, Donald S. Likosky, Kevin Lobdell, Moritz C. Wyler von Ballmoos, Devin M. Parker, Amit X. Garg, Todd Mackenzie, Marshall L. Jacobs, Chirag R. Parikh
