2026-04-27T07:52:56Zhttps://uvadoc.uva.es/oai/request

oai:uvadoc.uva.es:10324/456172021-06-23T09:56:22Zcom_10324_1138com_10324_931com_10324_894col_10324_1226

Ortega Loubon, Christian Joseph Fernández Molina, Manuel Jorge Monjas, Pablo Fierro Lorenzo, María Inmaculada Herrera Calvo, Gonzalo Tamayo Gómez, Eduardo 2021-03-10T10:11:53Z 2021-03-10T10:11:53Z 2019 Journal of Cardiothoracic and Vascular Anesthesia, 2019, vol. 33, n. 10. p. 2622-2623 1053-0770 http://uvadoc.uva.es/handle/10324/45617 10.1053/j.jvca.2018.09.031 Acute kidney injury (AKI) is a severe complication and a strong risk factor for death in patients undergoing cardiac surgery,1, 2 so much so that the term cardiac surgery–associated acute kidney injury (CSA-AKI) has been coined, and establishing a predictive model for CSA-AKI has been the focus of past research. Various predictive models have been established to predict AKI, such as the AKI after cardiac surgery score, the Cleveland Clinic score, the Mehta score, and the simplified renal index score. However, the discrimination and calibration predictive value for each of these models is not convincing, and therefore these models are barely acceptable. eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-nd/4.0/ © 2019 Elsevier Attribution-NonCommercial-NoDerivatives 4.0 Internacional The relevance of renal oxygen saturation over other markers in cardiac surgery–associated acute kidney injury info:eu-repo/semantics/article