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Testing the prognostic accuracy of the updated pediatric sepsis biomarker risk model

  • Hector R. Wong
  • , Scott L. Weiss
  • , John S. Giuliano
  • , Mark S. Wainwright
  • , Natalie Z. Cvijanovich
  • , Neal J. Thomas
  • , Geoffrey L. Allen
  • , Nick Anas
  • , Michael T. Bigham
  • , Mark Hall
  • , Robert J. Freishtat
  • , Anita Sen
  • , Keith Meyer
  • , Paul A. Checchia
  • , Thomas P. Shanley
  • , Jeffrey Nowak
  • , Michael Quasney
  • , Arun Chopra
  • , Julie C. Fitzgerald
  • , Rainer Gedeit
  • Sharon Banschbach, Eileen Beckman, Patrick Lahn, Kimberly Hart, Christopher J. Lindsell
  • Cincinnati Children's Hospital Medical Center
  • University of Cincinnati
  • The Children's Hospital of Philadelphia
  • Yale University
  • Children's Memorial Hospital
  • UCSF Benioff Children's Hospital Oakland
  • Pennsylvania State University
  • Children's Mercy Hospitals and Clinics
  • University of California at Irvine
  • Akron Children's Hospital
  • Nationwide Children’s Hospital
  • Children's National Medical Center
  • Columbia University
  • Miami Children's Hospital
  • Texas Children's Hospital Houston
  • University of Michigan, Ann Arbor
  • Children's Hospitals and Clinics of Minnesota
  • St. Christopher's Hospital for Children
  • Medical College of Wisconsin

Research output: Contribution to journalArticlepeer-review

74 Scopus citations

Abstract

Background: We previously derived and validated a risk model to estimate mortality probability in children with septic shock (PERSEVERE; PEdiatRic SEpsis biomarkEr Risk modEl). PERSEVERE uses five biomarkers and age to estimate mortality probability. After the initial derivation and validation of PERSEVERE, we combined the derivation and validation cohorts (n = 355) and updated PERSEVERE. An important step in the development of updated risk models is to test their accuracy using an independent test cohort. Objective: To test the prognostic accuracy of the updated version PERSEVERE in an independent test cohort. Methods: Study subjects were recruited from multiple pediatric intensive care units in the United States. Biomarkers were measured in 182 pediatric subjects with septic shock using serum samples obtained during the first 24 hours of presentation. The accuracy of PERSEVERE 28-day mortality risk estimate was tested using diagnostic test statistics, and the net reclassification improvement (NRI) was used to test whether PERSEVERE adds information to a physiology-based scoring system. Results: Mortality in the test cohort was 13.2%. Using a risk cut-off of 2.5%, the sensitivity of PERSEVERE for mortality was 83% (95% CI 62-95), specificity was 75% (68-82), positive predictive value was 34% (22-47), and negative predictive value was 97% (91-99). The area under the receiver operating characteristic curve was 0.81 (0.70-0.92). The false positive subjects had a greater degree of organ failure burden and longer intensive care unit length of stay, compared to the true negative subjects. When adding PERSEVERE to a physiology-based scoring system, the net reclassification improvement was 0.91 (0.47-1.35; p, 0.001). Conclusions: The updated version of PERSEVERE estimates mortality probability reliably in a heterogeneous test cohort of children with septic shock and provides information over and above a physiology-based scoring system.

Original languageEnglish
Article numbere86242
JournalPLoS ONE
Volume9
Issue number1
DOIs
StatePublished - 29 Jan 2014
Externally publishedYes

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