Cargando…
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...
Autores principales: | , |
---|---|
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 |
_version_ | 1782272118507962368 |
---|---|
author | Shah, Nirav Hamilton, Mark |
author_facet | Shah, Nirav Hamilton, Mark |
author_sort | Shah, Nirav |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-3672530 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT shahnirav clinicalreviewcanwepredictwhichpatientsareatriskofcomplicationsfollowingsurgery AT hamiltonmark clinicalreviewcanwepredictwhichpatientsareatriskofcomplicationsfollowingsurgery |