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dc.contributor.authorJorge Monjas, Pablo 
dc.contributor.authorBustamante Munguira, Juan
dc.contributor.authorLorenzo López, Mario 
dc.contributor.authorHeredia Rodríguez, María 
dc.contributor.authorFierro Lorenzo, María Inmaculada
dc.contributor.authorGómez Sánchez, Esther 
dc.contributor.authorHernández, Alfonso
dc.contributor.authorÁlvarez González, Francisco Javier 
dc.contributor.authorBermejo Martín, Jesús Francisco
dc.contributor.authorGómez Pesquera, Estefanía 
dc.contributor.authorGómez Herreras, José Ignacio 
dc.contributor.authorTamayo Gómez, Eduardo 
dc.date.accessioned2016-01-13T08:18:11Z
dc.date.available2016-01-13T08:18:11Z
dc.date.issued2015
dc.identifier.citationJournal of Critical Care, 2016, 31 (1): 130–138es
dc.identifier.issn0883-9441es
dc.identifier.urihttp://uvadoc.uva.es/handle/10324/15241
dc.descriptionProducción Científicaes
dc.description.abstractPurpose: Acute kidney injury (AKI) is a frequent complication after cardiac surgery and is associated with increased mortality. The aim was to design a nondialytic AKI score in patients with previously normal renal function undergoing cardiac surgery. Methods: Data were collected on 909 patients who underwent cardiac surgery with cardiopulmonary bypass between 2012 and 2014. A total of 810 patients fulfilled the inclusion criteria. Patients were classified as having AKI based on the RIFLE criteria. Postoperative AKI occurred in 137 patients (16.9%). Several parameters were recorded preoperatively, intraoperatively, and at intensive care unit admission, looking for a univariate andmultivariate associationwith AKI risk. A second data set of 741 patients, from2 different hospitals,was recorded as a validation cohort. Results: Four independent risk factors were included in the CRATE score: creatinine (odds ratio [OR], 9.66; 95% confidence interval [CI], 4.77-19.56; P b .001), EuroSCORE (OR, 1.40; CI, 1.29-1.52; P b .001), lactate (OR, 1.03; CI, 1.01- 1.04; P b .001), and cardiopulmonary bypass time (OR, 1.01; CI, 1.01-1.02; P b .001). The accuracy of the model was good, with an area under the curve of 0.89 (CI, 0.85-0.92). The CRATE score retained good discrimination in validation cohort, with an area under the curve of 0.81 (95% CI, 0.78-0.85). Conclusions: CRATE score is an accurate and easy to calculate risk score that uses affordable andwidely available variables in the routine care surgical patients.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherElsevieres
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectCardiovascular, Aparato - Cirugía - Complicaciones y secuelases
dc.subjectEnfermedad renal
dc.titlePredicting cardiac surgery–associated acute kidney injury: The CRATE scorees
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doi10.1016/j.jcrc.2015.11.004es
dc.identifier.publicationfirstpage130es
dc.identifier.publicationissue1es
dc.identifier.publicationlastpage138es
dc.identifier.publicationtitleJournal of Critical Carees
dc.identifier.publicationvolume31es
dc.peerreviewedSIes
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International


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