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Resumen
We developed a quantitative microbiological risk assessment (QMRA) of haemolytic uremic syndrome (HUS) associated with Shiga toxin-producing Escherichia coli (STEC)-contaminated beef (intact beef cuts, ground beef and commercial hamburgers) in children under 15 years of age from Argentina. The QMRA was used to characterize STEC prevalence and concentration levels in each product through the Argentinean beef supply chain, including cattle primary [ver mas...]
dc.contributor.authorBrusa, Victoria
dc.contributor.authorCosta, Magdalena
dc.contributor.authorPadola, Nora Lía
dc.contributor.authorEtcheverría, Analía Inés
dc.contributor.authorSampedro, Fernando
dc.contributor.authorFernandez, Pablo S.
dc.contributor.authorLeotta, Gerardo Anibal
dc.contributor.authorSignorini Porchiett, Marcelo Lisandro
dc.date.accessioned2021-04-15T16:26:58Z
dc.date.available2021-04-15T16:26:58Z
dc.date.issued2020-11
dc.identifier.issn1932-6203
dc.identifier.otherhttps://doi.org/10.1371/journal.pone.0242317
dc.identifier.urihttp://hdl.handle.net/20.500.12123/9101
dc.identifier.urihttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0242317
dc.description.abstractWe developed a quantitative microbiological risk assessment (QMRA) of haemolytic uremic syndrome (HUS) associated with Shiga toxin-producing Escherichia coli (STEC)-contaminated beef (intact beef cuts, ground beef and commercial hamburgers) in children under 15 years of age from Argentina. The QMRA was used to characterize STEC prevalence and concentration levels in each product through the Argentinean beef supply chain, including cattle primary production, cattle transport, processing and storage in the abattoir, retail and home preparation, and consumption. Median HUS probability from beef cut, ground beef and commercial hamburger consumption was <10−15, 5.4x10-8 and 3.5x10-8, respectively. The expected average annual number of HUS cases was 0, 28 and 4, respectively. Risk of infection and HUS probability were sensitive to the type of abattoir, the application or not of Hazard Analysis and Critical Control Points (HACCP) for STEC (HACCP-STEC), stx prevalence in carcasses and trimmings, storage conditions from the abattoir to retailers and home, the joint consumption of salads and beef products, and cooking preference. The QMRA results showed that the probability of HUS was higher if beef cuts (1.7x) and ground beef (1.2x) were from carcasses provided by abattoirs not applying HACCP-STEC. Thus, the use of a single sanitary standard that included the application of HACCP-STEC in all Argentinean abattoirs would greatly reduce HUS incidence. The average number of annual HUS cases estimated by the QMRA (n = 32) would explain about 10.0% of cases in children under 15 years per year in Argentina. Since other routes of contamination can be involved, including those not related to food, further research on the beef production chain, other food chains, person-to-person transmission and outbreak studies should be conducted to reduce the impact of HUS on the child population of Argentina.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherPlos Onees_AR
dc.rightsinfo:eu-repo/semantics/openAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourcePLoS ONE 15 (11) : e0242317. (2020)es_AR
dc.subjectAnemia Hemolíticaes_AR
dc.subjectHaemolytic Anaemiaeng
dc.subjectEnfermedades Humanases_AR
dc.subjectHuman Diseaseseng
dc.subjectEvaluación de Riesgoses_AR
dc.subjectRisk Assessmenteng
dc.subjectCarne de Reses_AR
dc.subjectBeefeng
dc.subjectEscherichia colies_AR
dc.subjectArgentina
dc.subject.otherSíndrome Urémico Hemolíticoes_AR
dc.subject.otherHaemolytic Uremic Syndromeeng
dc.titleQuantitative risk assessment of haemolytic uremic syndrome associated with beef consumption in Argentinaes_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.description.origenEEA Rafaelaes_AR
dc.description.filFil: Brusa, Victoria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico CONICET- La Plata. Instituto de Genética Veterinaria "Ing. Fernando Noel Dulout"; Argentinaes_AR
dc.description.filFil: Brusa, Victoria. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Genética Veterinaria; Argentina.es_AR
dc.description.filFil: Costa, Magdalena. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico CONICET- La Plata. Instituto de Genética Veterinaria "Ing. Fernando Noel Dulout"; Argentinaes_AR
dc.description.filFil: Costa, Magdalena. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Genética Veterinaria; Argentinaes_AR
dc.description.filFil: Padola, Nora Lía. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Centro de Investigación Veterinaria de Tandil; Argentinaes_AR
dc.description.filFil: Padola, Nora Lía. Universidad Nacional del Centro de la Provincia de Buenos Aires. Centro de Investigación Veterinaria de Tandil; Argentinaes_AR
dc.description.filFil: Padola, Nora Lía. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigación Veterinaria de Tandil; Argentinaes_AR
dc.description.filFil: Padola, Nora Lía. Universidad Nacional del Centro de la Provincia de Buenos Aires. Centro de Investigación Veterinaria de Tandil. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigación Veterinaria de Tandil; Argentinaes_AR
dc.description.filFil: Etcheverría, Analía Inés. Universidad Nacional del Centro de la Provincia de Buenos Aires. Centro de Investigación Veterinaria de Tandil; Argentinaes_AR
dc.description.filFil: Etcheverría, Analía Inés. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigación Veterinaria de Tandil; Argentinaes_AR
dc.description.filFil: Sampedro, Fernando. University of Minnesota. School of Public Health. Environmental Health Sciences Division; Estados Unidoses_AR
dc.description.filFil: Fernandez, Pablo S. Universidad Politécnica de Cartagena. Escuela Técnica Superior de Ingeniería Agronómica; Españaes_AR
dc.description.filFil: Leotta, Gerardo Anibal. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico CONICET- La Plata. Instituto de Genética Veterinaria "Ing. Fernando Noel Dulout"; Argentinaes_AR
dc.description.filFil: Leotta, Gerardo Aniba. Universidad Nacional de La Plata. Facultad de Ciencias Veterinarias. Instituto de Genética Veterinaria; Argentinaes_AR
dc.description.filFil: Signorini, Marcelo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Rafaela; Argentina.es_AR
dc.description.filFil: Signorini, Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.subtypecientifico


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