BACKGROUND: In August 2008, the largest known US serotype 1 Escherichia coli O111 outbreak occurred in Oklahoma, causing 341 illnesses, including hemolytic uremic syndrome (HUS). HUS is not well described in non-O157 E coli outbreaks but occurs in 2% to 15% of O157 infections, predominantly among children. We examined outbreak-related hospitalizations to characterize E coli O111 illness, the HUS attack rate, and factors associated with subsequent HUS diagnosis among hospitalized patients. METHODS: Medical records were reviewed for clinical presentation and evidence of HUS among hospitalized patients identified during the outbreak investigation. Characteristics of hospitalized patients with vs without HUS were compared. RESULTS: HUS was identified in 26 of 156 (16.7%) confirmed or probable E coli O111 infections; 65.4% of patients with HUS required dialysis, and 1 patient died. The median age of patients with HUS was 43.5 years (age range, 1-88 years); adults composed 57.7% of HUS cases. Characteristics at hospital admission associated with subsequent HUS diagnosis included white blood cell count of at least 20 000/μL (adjusted odds ratio [aOR], 11.3; 95% confidence interval [CI], 1.7-75.3), elevated serum creatinine level for age (9.7; 1.4-69.2), and vomiting before hospital admission (6.8; 1.5-31.3). Administration of antimicrobial agents (risk ratio [RR], 1.0; 95% CI, 0.5-1.8) or medication with antimotility effects (1.4; 0.6-2.9) was not associated with subsequent HUS. CONCLUSIONS: The HUS attack rate in this E coli O111 outbreak was comparable to that for E coli O157-related illnesses, but most cases occurred among adults. On admission, factors associated with subsequent HUS can identify patients who require close monitoring and early aggressive supportive care to improve outcomes.
BACKGROUND: In August 2008, the largest known US serotype 1 Escherichia coli O111 outbreak occurred in Oklahoma, causing 341 illnesses, including hemolytic uremic syndrome (HUS). HUS is not well described in non-O157 E coli outbreaks but occurs in 2% to 15% of O157 infections, predominantly among children. We examined outbreak-related hospitalizations to characterize E coli O111 illness, the HUS attack rate, and factors associated with subsequent HUS diagnosis among hospitalized patients. METHODS: Medical records were reviewed for clinical presentation and evidence of HUS among hospitalized patients identified during the outbreak investigation. Characteristics of hospitalized patients with vs without HUS were compared. RESULTS:HUS was identified in 26 of 156 (16.7%) confirmed or probable E coli O111 infections; 65.4% of patients with HUS required dialysis, and 1 patient died. The median age of patients with HUS was 43.5 years (age range, 1-88 years); adults composed 57.7% of HUS cases. Characteristics at hospital admission associated with subsequent HUS diagnosis included white blood cell count of at least 20 000/μL (adjusted odds ratio [aOR], 11.3; 95% confidence interval [CI], 1.7-75.3), elevated serum creatinine level for age (9.7; 1.4-69.2), and vomiting before hospital admission (6.8; 1.5-31.3). Administration of antimicrobial agents (risk ratio [RR], 1.0; 95% CI, 0.5-1.8) or medication with antimotility effects (1.4; 0.6-2.9) was not associated with subsequent HUS. CONCLUSIONS: The HUS attack rate in this E coli O111 outbreak was comparable to that for E coli O157-related illnesses, but most cases occurred among adults. On admission, factors associated with subsequent HUS can identify patients who require close monitoring and early aggressive supportive care to improve outcomes.
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: Matthew A Croxen; Robyn J Law; Roland Scholz; Kristie M Keeney; Marta Wlodarska; B Brett Finlay Journal: Clin Microbiol Rev Date: 2013-10 Impact factor: 26.132