BACKGROUND: Shiga toxin-producing Escherichia coli (STEC) are an important cause of diarrhea and the major cause of postdiarrheal hemolytic uremic syndrome. Non-O157 STEC infections are being recognized with greater frequency because of changing laboratory practices. METHODS: Foodborne Diseases Active Surveillance Network (FoodNet) site staff conducted active, population-based surveillance for laboratory-confirmed STEC infections. We assessed frequency and incidence of STEC infections by serogroup and examined and compared demographic factors, clinical characteristics, and frequency of international travel among patients. RESULTS: During 2000-2010, FoodNet sites reported 2006 cases of non-O157 STEC infection and 5688 cases of O157 STEC infections. The number of reported non-O157 STEC infections increased from an incidence of 0.12 per 100,000 population in 2000 to 0.95 per 100,000 in 2010; while the rate of O157 STEC infections decreased from 2.17 to 0.95 per 100,000. Among non-O157 STEC, six serogroups were most commonly reported: O26 (26%), O103 (22%), O111 (19%), O121 (6%), O45 (5%), and O145 (4%). Non-O157 STEC infections were more common among Hispanics, and infections were less severe than those caused by O157 STEC, but this varied by serogroup. Fewer non-O157 STEC infections were associated with outbreaks (7% versus 20% for O157), while more were associated with international travel (14% versus 3% for O157). CONCLUSIONS: Improved understanding of the epidemiologic features of non-O157 STEC infections can inform food safety and other prevention efforts. To detect both O157 and non-O157 STEC infections, clinical laboratories should routinely and simultaneously test all stool specimens submitted for diagnosis of acute community-acquired diarrhea for O157 STEC and for Shiga toxin and ensure that isolates are sent to a public health laboratory for serotyping and subtyping.
BACKGROUND: Shiga toxin-producing Escherichia coli (STEC) are an important cause of diarrhea and the major cause of postdiarrheal hemolytic uremic syndrome. Non-O157 STEC infections are being recognized with greater frequency because of changing laboratory practices. METHODS:Foodborne Diseases Active Surveillance Network (FoodNet) site staff conducted active, population-based surveillance for laboratory-confirmed STEC infections. We assessed frequency and incidence of STEC infections by serogroup and examined and compared demographic factors, clinical characteristics, and frequency of international travel among patients. RESULTS: During 2000-2010, FoodNet sites reported 2006 cases of non-O157 STEC infection and 5688 cases of O157 STEC infections. The number of reported non-O157 STEC infections increased from an incidence of 0.12 per 100,000 population in 2000 to 0.95 per 100,000 in 2010; while the rate of O157 STEC infections decreased from 2.17 to 0.95 per 100,000. Among non-O157 STEC, six serogroups were most commonly reported: O26 (26%), O103 (22%), O111 (19%), O121 (6%), O45 (5%), and O145 (4%). Non-O157 STEC infections were more common among Hispanics, and infections were less severe than those caused by O157 STEC, but this varied by serogroup. Fewer non-O157 STEC infections were associated with outbreaks (7% versus 20% for O157), while more were associated with international travel (14% versus 3% for O157). CONCLUSIONS: Improved understanding of the epidemiologic features of non-O157 STEC infections can inform food safety and other prevention efforts. To detect both O157 and non-O157 STEC infections, clinical laboratories should routinely and simultaneously test all stool specimens submitted for diagnosis of acute community-acquired diarrhea for O157 STEC and for Shiga toxin and ensure that isolates are sent to a public health laboratory for serotyping and subtyping.
Authors: Rodrigo H S Tanabe; Melissa A Vieira; Noelle A B Mariano; Regiane C B Dias; Rafael Ventin da Silva; Caroline M Castro; Luis F Dos Santos; Carlos H Camargo; Ricardo S Yamatogi; Vera L M Rall; Rodrigo T Hernandes Journal: Braz J Microbiol Date: 2019-06-11 Impact factor: 2.476
Authors: R P Johnson; B Holtslander; A Mazzocco; S Roche; J L Thomas; F Pollari; K D M Pintar Journal: Appl Environ Microbiol Date: 2014-01-31 Impact factor: 4.792
Authors: Agatha N Jassem; Frank Y Chou; Cathevine Yang; Matthew A Croxen; Katarina D M Pintar; Ana Paccagnella; Linda Hoang; Natalie Prystajecky Journal: J Clin Microbiol Date: 2016-08-24 Impact factor: 5.948
Authors: Zorangel Amézquita-Montes; Maria Tamborski; Usa G Kopsombut; Chengxian Zhang; Octavio S Arzuza; Oscar G Gómez-Duarte Journal: Foodborne Pathog Dis Date: 2015-03-18 Impact factor: 3.171
Authors: Cristina Venegas-Vargas; Scott Henderson; Akanksha Khare; Rebekah E Mosci; Jonathan D Lehnert; Pallavi Singh; Lindsey M Ouellette; Bo Norby; Julie A Funk; Steven Rust; Paul C Bartlett; Daniel Grooms; Shannon D Manning Journal: Appl Environ Microbiol Date: 2016-07-29 Impact factor: 4.792