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Using Risk Models to Improve Patient Selection for High-Risk Vascular Surgery
Author
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-12-13
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Diseases
Abstract EN
Vascular surgeons frequently perform procedures aimed at limiting death, stroke, or amputation on patients who present with diseases such as aortic aneurysms, carotid atherosclerosis, and peripheral arterial occlusive disease.
However, now more than ever surgeons must balance the potential benefits associated with these interventions with the risks of physiologic insult for these elderly patients, who often have significant comorbidity burdens and the potential for costly complications.
In this paper, we highlight how regional and national datasets can help surgeons identify which patients are most likely to benefit from vascular operations and which patients are most likely to suffer complications in the postoperative period.
By using these guidelines to improve patient selection, our risk models can help patients, physicians, and policymakers improve the clinical effectiveness of surgical and endovascular treatments for vascular disease.
American Psychological Association (APA)
Goodney, Philip P.. 2012. Using Risk Models to Improve Patient Selection for High-Risk Vascular Surgery. Scientifica،Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-448250
Modern Language Association (MLA)
Goodney, Philip P.. Using Risk Models to Improve Patient Selection for High-Risk Vascular Surgery. Scientifica No. 2012 (2012), pp.1-13.
https://search.emarefa.net/detail/BIM-448250
American Medical Association (AMA)
Goodney, Philip P.. Using Risk Models to Improve Patient Selection for High-Risk Vascular Surgery. Scientifica. 2012. Vol. 2012, no. 2012, pp.1-13.
https://search.emarefa.net/detail/BIM-448250
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-448250