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

Shah, N; Hamilton, M (2013) Clinical review: Can we predict which patients are at risk of complications following surgery? CRITICAL CARE, 17 (226). ISSN 1466-609X https://doi.org/10.1186/cc11904
SGUL Authors: Hamilton, Mark

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Abstract

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.

Item Type: Article
Additional Information: © 2013 BioMed Central Ltd. All authors agree that the article, if editorially accepted for publication by BioMed Central, shall be licensed under the Creative Commons Attribution License 4.0.
Keywords: Science & Technology, Life Sciences & Biomedicine, Critical Care Medicine, General & Internal Medicine, CRITICAL CARE MEDICINE, POSTOPERATIVE MORBIDITY SURVEY, QUALITY IMPROVEMENT PROGRAM, GENERAL SURGICAL OPERATIONS, ADVERSE EVENTS, ACS-NSQIP, PERIOPERATIVE MANAGEMENT, CLASSIFICATION-SYSTEM, NONCARDIAC SURGERY, AMERICAN-COLLEGE, ACUTE PHYSIOLOGY, 11 Medical And Health Sciences
SGUL Research Institute / Research Centre: Academic Structure > Institute of Medical & Biomedical Education (IMBE)
Academic Structure > Institute of Medical & Biomedical Education (IMBE) > Centre for Clinical Education (INMECE )
Journal or Publication Title: CRITICAL CARE
ISSN: 1466-609X
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Dates:
DateEvent
7 May 2013Published
Web of Science ID: WOS:000329431100065
URI: https://openaccess.sgul.ac.uk/id/eprint/107094
Publisher's version: https://doi.org/10.1186/cc11904

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