EBioMedicine (Dec 2015)

Prospective Testing and Redesign of a Temporal Biomarker Based Risk Model for Patients With Septic Shock: Implications for Septic Shock Biology

  • Hector R. Wong,
  • Natalie Z. Cvijanovich,
  • Nick Anas,
  • Geoffrey L. Allen,
  • Neal J. Thomas,
  • Michael T. Bigham,
  • Scott L. Weiss,
  • Julie Fitzgerald,
  • Paul A. Checchia,
  • Keith Meyer,
  • Michael Quasney,
  • Mark Hall,
  • Rainer Gedeit,
  • Robert J. Freishtat,
  • Jeffrey Nowak,
  • Shekhar S. Raj,
  • Shira Gertz,
  • Kelli Howard,
  • Kelli Harmon,
  • Patrick Lahni,
  • Erin Frank,
  • Kimberly W. Hart,
  • Christopher J. Lindsell

DOI
https://doi.org/10.1016/j.ebiom.2015.11.035
Journal volume & issue
Vol. 2, no. 12
pp. 2087 – 2093

Abstract

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The temporal version of the pediatric sepsis biomarker risk model (tPERSEVERE) estimates the risk of a complicated course in children with septic shock based on biomarker changes from days 1 to 3 of septic shock. We validated tPERSEVERE performance in a prospective cohort, with an a priori plan to redesign tPERSEVERE if it did not perform well. Biomarkers were measured in the validation cohort (n = 168) and study subjects were classified according to tPERSEVERE. To redesign tPERSEVERE, the validation cohort and the original derivation cohort (n = 299) were combined and randomly allocated to training (n = 374) and test (n = 93) sets. tPERSEVERE was redesigned using the training set and CART methodology. tPERSEVERE performed poorly in the validation cohort, with an area under the curve (AUC) of 0.67 (95% CI: 0.58–0.75). Failure analysis revealed potential confounders related to clinical characteristics. The redesigned tPERSEVERE model had an AUC of 0.83 (0.79–0.87) and a sensitivity of 93% (68–97) for estimating the risk of a complicated course. Similar performance was seen in the test set. The classification tree segregated patients into two broad endotypes of septic shock characterized by either excessive inflammation or immune suppression.

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