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
Affiliations
Hector R. Wong
Division of Critical Care Medicine, Cincinnati Children's Hospital Medical Center and Cincinnati Children's Research Foundation, Cincinnati, OH, United States
Natalie Z. Cvijanovich
UCSF Benioff Children's Hospital Oakland, Oakland, CA, United States
Nick Anas
Children's Hospital of Orange County, Orange, CA, United States
Geoffrey L. Allen
Children's Mercy Hospital, Kansas City, MO, United States
Neal J. Thomas
Penn State Hershey Children's Hospital, Hershey, PA, United States
Michael T. Bigham
Akron Children's Hospital, Akron, OH, United States
Scott L. Weiss
The Children's Hospital of Philadelphia, Philadelphia, PA, United States
Julie Fitzgerald
The Children's Hospital of Philadelphia, Philadelphia, PA, United States
Paul A. Checchia
Texas Children's Hospital and Baylor College of Medicine, Houston, TX, United States
Keith Meyer
Miami Children's Hospital, Miami, FL, United States
Michael Quasney
CS Mott Children's Hospital at the University of Michigan, Ann Arbor, MI, United States
Mark Hall
Nationwide Children's Hospital, Columbus, OH, United States
Rainer Gedeit
Children's Hospital of Wisconsin, Milwaukee, WI, United States
Robert J. Freishtat
Children's National Medical Center, Washington, DC, United States
Jeffrey Nowak
Children's Hospital and Clinics of Minnesota, Minneapolis, MN, United States
Shekhar S. Raj
Riley Hospital for Children, Indianapolis, IN, United States
Shira Gertz
Hackensack University Medical Center, Joseph M. Sanzari Children's Hospital, Hackensack, NJ, United States
Kelli Howard
Division of Critical Care Medicine, Cincinnati Children's Hospital Medical Center and Cincinnati Children's Research Foundation, Cincinnati, OH, United States
Kelli Harmon
Division of Critical Care Medicine, Cincinnati Children's Hospital Medical Center and Cincinnati Children's Research Foundation, Cincinnati, OH, United States
Patrick Lahni
Division of Critical Care Medicine, Cincinnati Children's Hospital Medical Center and Cincinnati Children's Research Foundation, Cincinnati, OH, United States
Erin Frank
Division of Critical Care Medicine, Cincinnati Children's Hospital Medical Center and Cincinnati Children's Research Foundation, Cincinnati, OH, United States
Kimberly W. Hart
Department of Emergency Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, United States
Christopher J. Lindsell
Department of Emergency Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, United States
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.