OBJECTIVE: To assess the clinical spectrum of postdiarrheal hemolytic uremic syndrome (D(+)HUS) hospitalizations and sought predictors of in-hospital death to help identify children at risk of poor outcomes. STUDY DESIGN: We assessed clinical variables collected through population-based surveillance of D(+)HUS in children <18 years old hospitalized in 10 states during 1997-2012 as predictors of in-hospital death by using tree modeling. RESULTS: We identified 770 cases. Of children with information available, 56.5% (430 of 761) required dialysis, 92.6% (698 of 754) required a transfusion, and 2.9% (22 of 770) died; few had a persistent dialysis requirement (52 [7.3%] of 716) at discharge. The tree model partitioned children into 5 groups on the basis of 3 predictors (highest leukocyte count and lowest hematocrit value during the 7 days before to 3 days after the diagnosis of hemolytic uremic syndrome, and presence of respiratory tract infection [RTI] within 3 weeks before diagnosis). Patients with greater leukocyte or hematocrit values or a recent RTI had a greater probability of in-hospital death. The largest group identified (n = 533) had none of these factors and had the lowest odds of death. Many children with RTI had recent antibiotic treatment for nondiarrheal indications. CONCLUSION: Most children with D(+)HUS have good hospitalization outcomes. Our findings support previous reports of increased leukocyte count and hematocrit as predictors of death. Recent RTI could be an additional predictor, or a marker of other factors such as antibiotic exposure, that may warrant further study. Published by Elsevier Inc.
OBJECTIVE: To assess the clinical spectrum of postdiarrheal hemolytic uremic syndrome (D(+)HUS) hospitalizations and sought predictors of in-hospital death to help identify children at risk of poor outcomes. STUDY DESIGN: We assessed clinical variables collected through population-based surveillance of D(+)HUS in children <18 years old hospitalized in 10 states during 1997-2012 as predictors of in-hospital death by using tree modeling. RESULTS: We identified 770 cases. Of children with information available, 56.5% (430 of 761) required dialysis, 92.6% (698 of 754) required a transfusion, and 2.9% (22 of 770) died; few had a persistent dialysis requirement (52 [7.3%] of 716) at discharge. The tree model partitioned children into 5 groups on the basis of 3 predictors (highest leukocyte count and lowest hematocrit value during the 7 days before to 3 days after the diagnosis of hemolytic uremic syndrome, and presence of respiratory tract infection [RTI] within 3 weeks before diagnosis). Patients with greater leukocyte or hematocrit values or a recent RTI had a greater probability of in-hospital death. The largest group identified (n = 533) had none of these factors and had the lowest odds of death. Many children with RTI had recent antibiotic treatment for nondiarrheal indications. CONCLUSION: Most children with D(+)HUS have good hospitalization outcomes. Our findings support previous reports of increased leukocyte count and hematocrit as predictors of death. Recent RTI could be an additional predictor, or a marker of other factors such as antibiotic exposure, that may warrant further study. Published by Elsevier Inc.
Authors: Gillian A M Tarr; Linda Chui; Bonita E Lee; Xiao-Li Pang; Samina Ali; Alberto Nettel-Aguirre; Otto G Vanderkooi; Byron M Berenger; James Dickinson; Phillip I Tarr; Steven Drews; Judy MacDonald; Kelly Kim; Stephen B Freedman Journal: Clin Infect Dis Date: 2019-09-13 Impact factor: 9.079
Authors: Stephen B Freedman; Jianling Xie; Madisen S Neufeld; William L Hamilton; Lisa Hartling; Phillip I Tarr; Alberto Nettel-Aguirre; Anderson Chuck; Bonita Lee; David Johnson; Gillian Currie; James Talbot; Jason Jiang; Jim Dickinson; Jim Kellner; Judy MacDonald; Larry Svenson; Linda Chui; Marie Louie; Martin Lavoie; Mohamed Eltorki; Otto Vanderkooi; Raymond Tellier; Samina Ali; Steven Drews; Tim Graham; Xiao-Li Pang Journal: Clin Infect Dis Date: 2016-02-24 Impact factor: 9.079
Authors: Ryan S McKee; David Schnadower; Phillip I Tarr; Jianling Xie; Yaron Finkelstein; Neil Desai; Roni D Lane; Kelly R Bergmann; Ron L Kaplan; Selena Hariharan; Andrea T Cruz; Daniel M Cohen; Andrew Dixon; Sriram Ramgopal; Annie Rominger; Elizabeth C Powell; Jennifer Kilgar; Kenneth A Michelson; Darcy Beer; Martin Bitzan; Christopher M Pruitt; Kenneth Yen; Garth D Meckler; Amy C Plint; Stuart Bradin; Thomas J Abramo; Serge Gouin; April J Kam; Abigail Schuh; Fran Balamuth; Tracy E Hunley; John T Kanegaye; Nicholas E Jones; Usha Avva; Robert Porter; Daniel M Fein; Jeffrey P Louie; Stephen B Freedman Journal: Clin Infect Dis Date: 2020-04-10 Impact factor: 9.079
Authors: Gillian A M Tarr; Hanna N Oltean; Amanda I Phipps; Peter Rabinowitz; Phillip I Tarr Journal: Int J Med Microbiol Date: 2018-10-10 Impact factor: 3.473