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Predictors of Postoperative Acute Kidney Injury after Coronary Artery Bypass Graft Surgery

OBJECTIVE: The aims of this study were to identify the risk factors associated with acute kidney injury (AKI) after isolated surgical revascularization with cardiopulmonary bypass and to develop a model to predict the appearance of postoperative AKI. METHODS: A total of 435 adult patients who underw...

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Autores principales: Ortega-Loubon, Christian, Fernández-Molina, Manuel, Pañeda-Delgado, Lucía, Jorge-Monjas, Pablo, Carrascal, Yolanda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade Brasileira de Cirurgia Cardiovascular 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6122763/
https://www.ncbi.nlm.nih.gov/pubmed/30184028
http://dx.doi.org/10.21470/1678-9741-2017-0251
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author Ortega-Loubon, Christian
Fernández-Molina, Manuel
Pañeda-Delgado, Lucía
Jorge-Monjas, Pablo
Carrascal, Yolanda
author_facet Ortega-Loubon, Christian
Fernández-Molina, Manuel
Pañeda-Delgado, Lucía
Jorge-Monjas, Pablo
Carrascal, Yolanda
author_sort Ortega-Loubon, Christian
collection PubMed
description OBJECTIVE: The aims of this study were to identify the risk factors associated with acute kidney injury (AKI) after isolated surgical revascularization with cardiopulmonary bypass and to develop a model to predict the appearance of postoperative AKI. METHODS: A total of 435 adult patients who underwent primary isolated coronary artery bypass graft (CABG) surgery, from 2012 to 2016, in the Clinic University Hospital of Valladolid (Spain) were enrolled. AKI was defined according to the risk, injury, failure, loss, and end-stage (RIFLE) criteria. Data were collected from hospital electronic medical records. Multiple logistic regression analysis was used to identify risk factors. RESULTS: The prevalence of AKI was 12.4%. Multivariate analysis identified age (odds ratio [OR], 1.056; 95% confidence interval [CI], 1.016-1.098; P=0.005), hypertension (OR, 3.078; 95% CI, 1.151-8.230; P=0.018), low ejection fraction (EF) (OR, 6.785; 95% CI, 2.080-22.135; P=0.001), estimated glomerular filtration rate (eGFR) (OR, 1.017; 95% CI, 1.005-1.028; P=0.014), EuroSCORE II (OR, 1.049; 95% CI, 1.004-1.096; P=0.033), and no intake of calcium-channel blockers (CCB) (OR, 4.892; 95% CI, 1.496-16.025; P=0.022) as risk factors for AKI. These risk factors were included in a model to predict postoperative AKI with an area under a receiver operating characteristic curve of 0.783±0.036 (95% CI, 0.713-0.854; P<0.0001). CONCLUSION: Age, hypertension, low EF, eGFR, EuroSCORE II, and no intake of CCB were independent risk factors for postoperative AKI. These factors provide an easy and accurate model to predict postoperative AKI in patients undergoing cardiac surgery.
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spelling pubmed-61227632018-09-06 Predictors of Postoperative Acute Kidney Injury after Coronary Artery Bypass Graft Surgery Ortega-Loubon, Christian Fernández-Molina, Manuel Pañeda-Delgado, Lucía Jorge-Monjas, Pablo Carrascal, Yolanda Braz J Cardiovasc Surg Original Article OBJECTIVE: The aims of this study were to identify the risk factors associated with acute kidney injury (AKI) after isolated surgical revascularization with cardiopulmonary bypass and to develop a model to predict the appearance of postoperative AKI. METHODS: A total of 435 adult patients who underwent primary isolated coronary artery bypass graft (CABG) surgery, from 2012 to 2016, in the Clinic University Hospital of Valladolid (Spain) were enrolled. AKI was defined according to the risk, injury, failure, loss, and end-stage (RIFLE) criteria. Data were collected from hospital electronic medical records. Multiple logistic regression analysis was used to identify risk factors. RESULTS: The prevalence of AKI was 12.4%. Multivariate analysis identified age (odds ratio [OR], 1.056; 95% confidence interval [CI], 1.016-1.098; P=0.005), hypertension (OR, 3.078; 95% CI, 1.151-8.230; P=0.018), low ejection fraction (EF) (OR, 6.785; 95% CI, 2.080-22.135; P=0.001), estimated glomerular filtration rate (eGFR) (OR, 1.017; 95% CI, 1.005-1.028; P=0.014), EuroSCORE II (OR, 1.049; 95% CI, 1.004-1.096; P=0.033), and no intake of calcium-channel blockers (CCB) (OR, 4.892; 95% CI, 1.496-16.025; P=0.022) as risk factors for AKI. These risk factors were included in a model to predict postoperative AKI with an area under a receiver operating characteristic curve of 0.783±0.036 (95% CI, 0.713-0.854; P<0.0001). CONCLUSION: Age, hypertension, low EF, eGFR, EuroSCORE II, and no intake of CCB were independent risk factors for postoperative AKI. These factors provide an easy and accurate model to predict postoperative AKI in patients undergoing cardiac surgery. Sociedade Brasileira de Cirurgia Cardiovascular 2018 /pmc/articles/PMC6122763/ /pubmed/30184028 http://dx.doi.org/10.21470/1678-9741-2017-0251 Text en http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Ortega-Loubon, Christian
Fernández-Molina, Manuel
Pañeda-Delgado, Lucía
Jorge-Monjas, Pablo
Carrascal, Yolanda
Predictors of Postoperative Acute Kidney Injury after Coronary Artery Bypass Graft Surgery
title Predictors of Postoperative Acute Kidney Injury after Coronary Artery Bypass Graft Surgery
title_full Predictors of Postoperative Acute Kidney Injury after Coronary Artery Bypass Graft Surgery
title_fullStr Predictors of Postoperative Acute Kidney Injury after Coronary Artery Bypass Graft Surgery
title_full_unstemmed Predictors of Postoperative Acute Kidney Injury after Coronary Artery Bypass Graft Surgery
title_short Predictors of Postoperative Acute Kidney Injury after Coronary Artery Bypass Graft Surgery
title_sort predictors of postoperative acute kidney injury after coronary artery bypass graft surgery
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6122763/
https://www.ncbi.nlm.nih.gov/pubmed/30184028
http://dx.doi.org/10.21470/1678-9741-2017-0251
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