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

EBioMedicine. 2015 Nov 22;2(12):2087-93. doi: 10.1016/j.ebiom.2015.11.035. eCollection 2015 Dec.

Abstract

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.

Keywords: Biomarkers; Endotype; Immune Suppression; Inflammation; Modeling; Outcome; Prediction; Sepsis.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Adolescent
  • Area Under Curve
  • Biomarkers*
  • Child
  • Child, Preschool
  • Cohort Studies
  • Female
  • Humans
  • Infant
  • Male
  • Models, Theoretical*
  • Patient Outcome Assessment
  • Prognosis
  • Prospective Studies
  • Reproducibility of Results
  • Risk
  • Sensitivity and Specificity
  • Shock, Septic / diagnosis*
  • Shock, Septic / epidemiology
  • Shock, Septic / etiology
  • Shock, Septic / metabolism*

Substances

  • Biomarkers