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dc.contributor.author | Jorge Monjas, Pablo | |
dc.contributor.author | Bustamante Munguira, Juan | |
dc.contributor.author | Lorenzo López, Mario | |
dc.contributor.author | Heredia Rodríguez, María | |
dc.contributor.author | Fierro Lorenzo, María Inmaculada | |
dc.contributor.author | Gómez Sánchez, Esther | |
dc.contributor.author | Hernández, Alfonso | |
dc.contributor.author | Álvarez González, Francisco Javier | |
dc.contributor.author | Bermejo Martín, Jesús Francisco | |
dc.contributor.author | Gómez Pesquera, Estefanía | |
dc.contributor.author | Gómez Herreras, José Ignacio | |
dc.contributor.author | Tamayo Gómez, Eduardo | |
dc.date.accessioned | 2016-01-13T08:18:11Z | |
dc.date.available | 2016-01-13T08:18:11Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Journal of Critical Care, 2016, 31 (1): 130–138 | es |
dc.identifier.issn | 0883-9441 | es |
dc.identifier.uri | http://uvadoc.uva.es/handle/10324/15241 | |
dc.description | Producción Científica | es |
dc.description.abstract | Purpose: 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.mimetype | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.subject | Cardiovascular, Aparato - Cirugía - Complicaciones y secuelas | es |
dc.subject | Enfermedad renal | |
dc.title | Predicting cardiac surgery–associated acute kidney injury: The CRATE score | es |
dc.type | info:eu-repo/semantics/article | es |
dc.identifier.doi | 10.1016/j.jcrc.2015.11.004 | es |
dc.identifier.publicationfirstpage | 130 | es |
dc.identifier.publicationissue | 1 | es |
dc.identifier.publicationlastpage | 138 | es |
dc.identifier.publicationtitle | Journal of Critical Care | es |
dc.identifier.publicationvolume | 31 | es |
dc.peerreviewed | SI | es |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International |
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