1. Predicting Adverse Outcomes for Shiga Toxin-Producing Escherichia coli Infections in Emergency Departments
- Author
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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, and Selena Hariharan
- Subjects
Male ,medicine.medical_specialty ,Adolescent ,Adverse outcomes ,medicine.medical_treatment ,Risk Assessment ,Sensitivity and Specificity ,Severity of Illness Index ,Article ,03 medical and health sciences ,0302 clinical medicine ,030225 pediatrics ,Internal medicine ,Acute care ,Clinical Decision Rules ,medicine ,Humans ,030212 general & internal medicine ,10. No inequality ,Adverse effect ,Child ,Shiga toxin-producing Escherichia coli ,Dialysis ,Escherichia coli Infections ,Retrospective Studies ,Shiga-Toxigenic Escherichia coli ,business.industry ,Medical record ,prognostic index ,Area under the curve ,Infant, Newborn ,Infant ,stx1 ,stx2 ,Prognosis ,3. Good health ,Respiratory failure ,Child, Preschool ,Pediatrics, Perinatology and Child Health ,Hemolytic-Uremic Syndrome ,North America ,hemolytic uremic syndrome ,Female ,business ,Emergency Service, Hospital - 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
- Published
- 2020