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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
  • 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

Producción científicarevisión exhaustiva

14 Citas (Scopus)

Resumen

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.

Idioma originalEnglish
Páginas (desde-hasta)2087-2093
Número de páginas7
PublicacióneBioMedicine
Volumen2
N.º12
DOI
EstadoPublished - 1 dic 2015
Publicado de forma externa

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