Using Risk Models to Improve Patient Selection for High-Risk Vascular Surgery. (13th December 2012)

• Record Type: Journal Article
• Authors: Goodney, Philip P.
• Other Names: Kalangos Afksendiyos Academic Editor.; Morasch Mark Academic Editor.
• Is Part Of: Scientifica. Volume 2012(2012)
• Publication Date: 2012-12-13
• Subjects: Life sciences -- Periodicals; Biology -- Periodicals; Medicine -- Periodicals; Biological Science Disciplines; Medicine; Biology; Life sciences; Medicine; Periodicals; Electronic journals; Periodicals; 500
• DOI: 10.6064/2012/132370
• Languages: English
• ISSNs: 2090-908X

Abstract

Abstract : 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.