Prediction of infection caused by extended-spectrum beta-lactamase-producing Enterobacteriaceae: development of a clinical decision-making nomogram

dc.contributor.authorGarcía Tello, Ana
dc.contributor.authorGimbernat, H.
dc.contributor.authorRedondo, Cristina
dc.contributor.authorMeilán, E.
dc.contributor.authorArana, David M.
dc.contributor.authorCacho Calvo, Juana
dc.contributor.authorDorado, Juan F.
dc.contributor.authorAngulo Cuesta, Javier
dc.date.accessioned2018-05-28T12:02:42Z
dc.date.available2018-05-28T12:02:42Z
dc.date.issued2018
dc.description.abstractOBJECTIVE: This study aimed to assess the population at risk of infection by extended-spectrum beta-lactamase (ESBL)-producing organisms, using clinical criteria. MATERIALS AND METHODS: All urine cultures positive for Enterobacteriaceae in a Spanish hospital department from January 2010 to 2014 were reviewed. All isolates with ESBL-positive strains were collected, and isolates received during the first week of each month with ESBL-negative strains from symptomatic patients hospitalized or admitted to the emergency room. Multivariate analysis of the factors involved was undertaken and a nomogram developed to predict the probability of infection by ESBL-producing microorganisms. RESULTS: The study included 1524 patients with urinary tract infection (UTI): 416 ESBL-positive and 1108 ESBL-negative. In univariate analysis, risk factors were: male gender (p = 0.036), age (p < 0.0001), nursing home (p < 0.0001), previous antimicrobial therapy (p < 0.0001) or hospitalization (p < 0.0001), diabetes (p < 0.0001), chronic renal insufficiency (p < 0.0001), severe underlying disease (p < 0.0001), neoplasia (p = 0.0005), urological (p < 0.0001) and non-urological invasive procedure (p = 0.0003), recurrent UTI (p < 0.0001), urological (p < 0.0001) or abdominal surgery (p < 0.0001) and permanent urethral catheter (p < 0.0001). In multivariate analysis, the data set was split into a development cohort of 1067 patients and a validation cohort of 457 cases. A nomogram was developed to predict the probability of infection by ESBL-producing bacteria, which included seven variables: age (p < 0.0001), gender (p = 0.004), nursing home (p < 0.0001), previous antimicrobial therapy (p = 0.04) or hospitalization (p < 0.0001), recurrent UTI (p < 0.0001) and non-urological invasive procedure (p = 0.005). The discriminative accuracy was 0.79 (95% confidence interval 0.77-0.83). CONCLUSIONS: A nomogram was developed that predicts the risk of infection by ESBL-producing Enterobacteriaceae with reasonable accuracy. It could improve clinical decision making and enable more efficient empirical treatment.spa
dc.description.filiationUEMspa
dc.description.impact1.401 JCR (2018) Q4, 62/80 Urology & Nephrologyspa
dc.description.impact0.571 SJR (2018) Q2, 44/107 Urology; Q3, 34/66 Nephrologyspa
dc.description.impactNo data IDR 2018spa
dc.description.sponsorshipSin financiaciónspa
dc.identifier.citationGarcía-Tello, A., Gimbernat, H., Redondo, C., Meilán, E., Arana, D. M., Cacho, J., ... & Angulo, J. C. (2018). Prediction of infection caused by extended-spectrum beta-lactamase-producing Enterobacteriaceae: development of a clinical decision-making nomogram. Scandinavian Journal of Urology, 52(1), 70-75. DOI: 10.1080/21681805.2017.1373698spa
dc.identifier.doi10.1080/21681805.2017.1373698
dc.identifier.issn2168-1805
dc.identifier.issn2168-1813
dc.identifier.urihttp://hdl.handle.net/11268/7278
dc.language.isoengspa
dc.peerreviewedSispa
dc.rights.accessRightsrestricted accessspa
dc.subject.uemInfecciónspa
dc.subject.uemAparato urinariospa
dc.subject.unescoInvestigación médicaspa
dc.subject.unescoTratamiento médicospa
dc.subject.unescoBacteriaspa
dc.titlePrediction of infection caused by extended-spectrum beta-lactamase-producing Enterobacteriaceae: development of a clinical decision-making nomogramspa
dc.typejournal articlespa
dspace.entity.typePublication
relation.isAuthorOfPublication3a23b48b-ef80-4b0a-bb2d-df1f4c4a50ae
relation.isAuthorOfPublicationeaadbb3a-67c4-43f5-b477-5fb2318b809a
relation.isAuthorOfPublication.latestForDiscovery3a23b48b-ef80-4b0a-bb2d-df1f4c4a50ae

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