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Cardiac surgery risk-stratification models

ABSTRACT: Risk models are widely used to predict outcomes after cardiac surgery. Not only is risk modelling applied in the assessment of the relative impact of specific risk factors on surgical outcomes, but also in patient counselling, the selection of treatment options, comparison of postoperative...

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Detalles Bibliográficos
Autores principales: Prins, Carla, De Villiers Jonker, I, Smit, Francis E, Botes, Lizelle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Clinics Cardive Publishing 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3721858/
https://www.ncbi.nlm.nih.gov/pubmed/22555640
http://dx.doi.org/10.5830/CVJA-2011-047
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author Prins, Carla
De Villiers Jonker, I
Smit, Francis E
Botes, Lizelle
author_facet Prins, Carla
De Villiers Jonker, I
Smit, Francis E
Botes, Lizelle
author_sort Prins, Carla
collection PubMed
description ABSTRACT: Risk models are widely used to predict outcomes after cardiac surgery. Not only is risk modelling applied in the assessment of the relative impact of specific risk factors on surgical outcomes, but also in patient counselling, the selection of treatment options, comparison of postoperative results, and quality-improvement programmes. At least 19 risk-stratification models exist for open-heart surgery. The focus of risk models was originally on pre-operative prediction of mortality. However, major morbidity is in general more common than mortality and the ability to predict only operative mortality is not an adequate method of determining surgical outcome. Multiple intra- and postoperative variables have been excluded in the majority of models and the possible effect of their future inclusion remains to be seen. The unique patient population of sub-Saharan Africa requires a unique risk model that reflects the patient population and levels of care.
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spelling pubmed-37218582013-08-07 Cardiac surgery risk-stratification models Prins, Carla De Villiers Jonker, I Smit, Francis E Botes, Lizelle Cardiovasc J Afr Review Article ABSTRACT: Risk models are widely used to predict outcomes after cardiac surgery. Not only is risk modelling applied in the assessment of the relative impact of specific risk factors on surgical outcomes, but also in patient counselling, the selection of treatment options, comparison of postoperative results, and quality-improvement programmes. At least 19 risk-stratification models exist for open-heart surgery. The focus of risk models was originally on pre-operative prediction of mortality. However, major morbidity is in general more common than mortality and the ability to predict only operative mortality is not an adequate method of determining surgical outcome. Multiple intra- and postoperative variables have been excluded in the majority of models and the possible effect of their future inclusion remains to be seen. The unique patient population of sub-Saharan Africa requires a unique risk model that reflects the patient population and levels of care. Clinics Cardive Publishing 2012-04 /pmc/articles/PMC3721858/ /pubmed/22555640 http://dx.doi.org/10.5830/CVJA-2011-047 Text en Copyright © 2010 Clinics Cardive Publishing http://creativecommons.org/licenses/by/2.5/ 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 Review Article
Prins, Carla
De Villiers Jonker, I
Smit, Francis E
Botes, Lizelle
Cardiac surgery risk-stratification models
title Cardiac surgery risk-stratification models
title_full Cardiac surgery risk-stratification models
title_fullStr Cardiac surgery risk-stratification models
title_full_unstemmed Cardiac surgery risk-stratification models
title_short Cardiac surgery risk-stratification models
title_sort cardiac surgery risk-stratification models
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3721858/
https://www.ncbi.nlm.nih.gov/pubmed/22555640
http://dx.doi.org/10.5830/CVJA-2011-047
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