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Clinical review: Can we predict which patients are at risk of complications following surgery?

There are a vast number of operations carried out every year, with a small proportion of patients being at highest risk of mortality and morbidity. There has been considerable work to try and identify these high-risk patients. In this paper, we look in detail at the commonly used perioperative risk...

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Detalles Bibliográficos
Autores principales: Shah, Nirav, Hamilton, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3672530/
https://www.ncbi.nlm.nih.gov/pubmed/23672931
http://dx.doi.org/10.1186/cc11904
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author Shah, Nirav
Hamilton, Mark
author_facet Shah, Nirav
Hamilton, Mark
author_sort Shah, Nirav
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description There are a vast number of operations carried out every year, with a small proportion of patients being at highest risk of mortality and morbidity. There has been considerable work to try and identify these high-risk patients. In this paper, we look in detail at the commonly used perioperative risk prediction models. Finally, we will be looking at the evolution and evidence for functional assessment and the National Surgical Quality Improvement Program (in the USA), both topical and exciting areas of perioperative prediction.
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spelling pubmed-36725302014-05-07 Clinical review: Can we predict which patients are at risk of complications following surgery? Shah, Nirav Hamilton, Mark Crit Care Review There are a vast number of operations carried out every year, with a small proportion of patients being at highest risk of mortality and morbidity. There has been considerable work to try and identify these high-risk patients. In this paper, we look in detail at the commonly used perioperative risk prediction models. Finally, we will be looking at the evolution and evidence for functional assessment and the National Surgical Quality Improvement Program (in the USA), both topical and exciting areas of perioperative prediction. BioMed Central 2013 2013-05-07 /pmc/articles/PMC3672530/ /pubmed/23672931 http://dx.doi.org/10.1186/cc11904 Text en Copyright © 2013 BioMed Central Ltd
spellingShingle Review
Shah, Nirav
Hamilton, Mark
Clinical review: Can we predict which patients are at risk of complications following surgery?
title Clinical review: Can we predict which patients are at risk of complications following surgery?
title_full Clinical review: Can we predict which patients are at risk of complications following surgery?
title_fullStr Clinical review: Can we predict which patients are at risk of complications following surgery?
title_full_unstemmed Clinical review: Can we predict which patients are at risk of complications following surgery?
title_short Clinical review: Can we predict which patients are at risk of complications following surgery?
title_sort clinical review: can we predict which patients are at risk of complications following surgery?
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3672530/
https://www.ncbi.nlm.nih.gov/pubmed/23672931
http://dx.doi.org/10.1186/cc11904
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