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Predicting Adverse Outcomes for Shiga Toxin-Producing Escherichia coli Infections in Emergency Departments

Authors :
Nicholas E. Jones
Tracy E. Hunley
Roni D. Lane
James A. Meltzer
Serge Gouin
Ryan S. McKee
Fran Balamuth
Annie Rominger
Elizabeth C. Powell
Christopher M. Pruitt
Amy C. Plint
Jianling Xie
Thomas J. Abramo
Kenneth Yen
Andrea T. Cruz
Jeffrey P. Louie
Daniel M. Fein
Garth Meckler
Chu Yang Lin
Robert Porter
Darcy Beer
Stephen B. Freedman
Gillian A.M. Tarr
Andrew Dixon
Abigail M. Schuh
Ron L. Kaplan
Jennifer Kilgar
Martin Bitzan
David Schnadower
Kelly R. Bergmann
Stuart Bradin
Daniel M. Cohen
John T. Kanegaye
April J. Kam
Kenneth A. Michelson
Sriram Ramgopal
Phillip I. Tarr
Neil M. Desai
Usha Avva
Yaron Finkelstein
Selena Hariharan
Source :
J Pediatr, Paediatrics Publications
Publication Year :
2020

Abstract

Objective: To assess the performance of a hemolytic uremic syndrome (HUS) severity score among children with Shiga toxin-producing Escherichia coli (STEC) infections and HUS by stratifying them according to their risk of adverse events. The score has not been previously evaluated in a North American acute care setting. Study design: We reviewed medical records of children 13 were designated as high-risk. We assessed score performance to predict severe adverse events (ie, dialysis, neurologic complication, respiratory failure, and death) using discrimination and net benefit (ie, threshold probability), with subgroup analyses by age and day-of-illness. Results: A total of 167 children had HUS, of whom 92.8% (155/167) had relevant data to calculate the score; 60.6% (94/155) experienced a severe adverse event. Discrimination was acceptable overall (area under the curve 0.71, 95% CI 0.63-0.79) and better among children 26%. Conclusions: The HUS severity score was able to discriminate between high- and low-risk children

Details

ISSN :
10976833
Volume :
232
Database :
OpenAIRE
Journal :
The Journal of pediatrics
Accession number :
edsair.doi.dedup.....36bb5bd4dd0e1f789160b95f276a9152