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Combining Prognostic and Predictive Enrichment Strategies to Identify Children with Septic Shock Responsive to Corticosteroids

  • Hector R. Wong
  • , Sarah J. Atkinson
  • , Natalie Z. Cvijanovich
  • , Nick Anas
  • , Geoffrey L. Allen
  • , Neal J. Thomas
  • , Michael T. Bigham
  • , Scott L. Weiss
  • , Julie C. Fitzgerald
  • , Paul A. Checchia
  • , Keith Meyer
  • , Michael Quasney
  • , Mark Hall
  • , Rainer Gedeit
  • , Robert J. Freishtat
  • , Jeffrey Nowak
  • , Shekhar S. Raj
  • , Shira Gertz
  • , Christopher J. Lindsell
  • Cincinnati Children's Hospital Medical Center
  • University of Cincinnati
  • UCSF Benioff Children's Hospital Oakland
  • University of California at Irvine
  • Children's Mercy Hospitals and Clinics
  • Pennsylvania State University
  • Akron Children's Hospital
  • The Children's Hospital of Philadelphia
  • Texas Children's Hospital Houston
  • Miami Children's Hospital
  • University of Michigan, Ann Arbor
  • Nationwide Children’s Hospital
  • Medical College of Wisconsin
  • Children's National Medical Center
  • Children's Hospitals and Clinics of Minnesota
  • Riley Hospital for Children
  • Rutgers - The State University of New Jersey, Newark

Research output: Contribution to journalArticlepeer-review

114 Scopus citations

Abstract

Objectives: Prognostic and predictive enrichment strategies are fundamental tools of precision medicine. Identifying children with septic shock who may benefit from corticosteroids remains a challenge. We combined prognostic and predictive strategies to identify a pediatric septic shock subgroup responsive to corticosteroids. Design: We conducted a secondary analysis of 288 previously published pediatric subjects with septic shock. For prognostic enrichment, each study subject was assigned a baseline mortality probability using the pediatric sepsis biomarker risk model. For predictive enrichment, each study subject was allocated to one of two septic shock endotypes, based on a 100-gene signature reflecting adaptive immunity and glucocorticoid receptor signaling. The primary study endpoint was complicated course, defined as the persistence of two or more organ failures at day 7 of septic shock or 28-day mortality. We used logistic regression to test for an association between corticosteroids and complicated course within endotype. Measurements and Main Results: Among endotype B subjects at intermediate to high pediatric sepsis biomarker risk model-based risk of mortality, corticosteroids were independently associated with more than a 10-fold reduction in the risk of a complicated course (relative risk, 0.09; 95% CI, 0.01-0.54; p = 0.007). Conclusions: A combination of prognostic and predictive strategies based on serum protein and messenger RNA biomarkers can identify a subgroup of children with septic shock who may be more likely to benefit from corticosteroids. Prospective validation of these strategies and the existence of this subgroup are warranted.

Original languageEnglish
Pages (from-to)e1000-e1003
JournalCritical Care Medicine
Volume44
Issue number10
DOIs
StatePublished - 1 Oct 2016
Externally publishedYes

Keywords

  • corticosteroids
  • precision medicine
  • predictive enrichment
  • prognostic enrichment
  • sepsis

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