dc.creator | Sahuquillo-Arce, José Miguel | es |
dc.creator | Perpiñán, Héctor | es |
dc.creator | Armero, Carmen | es |
dc.creator | López-Quílez, Antonio | es |
dc.creator | Selva, María | es |
dc.creator | Aguayo-González, Francisco | es |
dc.date.accessioned | 2018-11-28T17:21:14Z | |
dc.date.available | 2018-11-28T17:21:14Z | |
dc.date.issued | 2014 | |
dc.identifier.citation | Sahuquillo-Arce, J.M., Perpiñán, H., Armero, C., López-Quílez, A., Selva, M. y Aguayo González, F. (2014). Bayesian Approach to Urinary ESBL-Producing Escherichia coli. Journal of Pharmacovigilance, 2 (3), 1000133-. | |
dc.identifier.issn | 2329-6887 | es |
dc.identifier.uri | https://hdl.handle.net/11441/80611 | |
dc.description.abstract | This is a retrospective study about the prevalence of ESBL-producing Escherichia coli (EEC) in urinary
specimens from patients from the Comunitat Valenciana from January 2007 to December 2008. Data were retrieved
from RedMIVA, and Bayesian generalized linear mixed models were considered to study the prevalence of EEC with
regard to demographical and microbiological factors.
The total number of infections considered was 164,502, the amount of urinary isolates was 70,827 belonging to
49,304 different patients, and 5,161 (7.3%) of the urinary isolates were EEC. Three out of four E. coli were isolated
in women (76.8%), men showed higher rates of EEC (9.7% in men vs. 6.5% in women). EEC patients were, in
average, 10.8 years older, and hospitalization was more frequent (9.9% vs. 6.9%).
Resistance to non-β-lactams antimicrobials was higher in EEC. The rates of ciprofloxacin and co-trimoxazol
resistance in EEC were 75.5% and 52.0%, respectively, whereas it ranged between 1.4-12.4% for the rest of
antimicrobials.
Prior EEC infection and hospitalization were the most relevant risk factors and increased the expected EEC
probability approximately 400% and 50% respectively. Other infections played an important and positive role too,
Enterobacteriaceae, P. aeruginosa and other bacteria being the most relevant elements. Female gender was a
protective factor and reduced the risk by approximately 25% while age was an additive risk factor.
Finally, an open-access web-based software was constructed to compute the probability that an E. coli in a
urinary infection be an EEC from a specific combination of risk factors. This pharmacovigilance tool should prove
useful to monitor and control antimicrobial resistance spread. | es |
dc.description.sponsorship | All the microbiologist who collaborate with RedMIVA | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | OMICS International | es |
dc.relation.ispartof | Journal of Pharmacovigilance, 2 (3), 1000133-. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Pharmacovigilance | es |
dc.subject | Control | es |
dc.subject | Antimicrobial | es |
dc.title | Bayesian Approach to Urinary ESBL-Producing Escherichia coli | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería del Diseño | es |
dc.relation.publisherversion | https://www.omicsonline.org/open-access/bayesian-approach-to-urinary-esblproducing-escherichia-coli-2329-6887-2-133.php?aid=28136 | es |
dc.identifier.doi | 10.4172/2329-6887.1000133 | es |
dc.contributor.group | Universidad de Sevilla. TEP022: Diseño Industrial e Ingeniería del Proyecto y la Innovación | es |
idus.format.extent | 5 p. | es |
dc.journaltitle | Journal of Pharmacovigilance | es |
dc.publication.volumen | 2 | es |
dc.publication.issue | 3 | es |
dc.publication.initialPage | 1000133 | es |