A Risk Factor-based Predictive Model of Outcomes in Carotid Endarterectomy | Zendy

Kimon Bekelis | Zendy; Samuel F. Bakhoum | Zendy; Atman Desai | Zendy; Todd A. MacKenzie | Zendy; Philip P. Goodney | Zendy; Nicos Labropoulos | Zendy

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A Risk Factor-based Predictive Model of Outcomes in Carotid Endarterectomy

Author(s) -

Kimon Bekelis,

Samuel F. Bakhoum,

Atman Desai,

Todd A. MacKenzie,

Philip P. Goodney,

Nicos Labropoulos

Publication year - 2013

Publication title -

stroke

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.397

H-Index - 319

eISSN - 1524-4628

pISSN - 0039-2499

DOI - 10.1161/strokeaha.111.674358

Subject(s) - medicine , carotid endarterectomy , stroke (engine) , myocardial infarction , angina , risk factor , cardiology , endarterectomy , heart failure , asymptomatic , multivariate analysis , carotid artery disease , stenosis , retrospective cohort study , surgery , mechanical engineering , engineering

Accurate knowledge of individualized risks and benefits is crucial to the surgical management of patients undergoing carotid endarterectomy (CEA). Although large randomized trials have determined specific cutoffs for the degree of stenosis, precise delineation of patient-level risks remains a topic of debate, especially in real world practice. We attempted to create a risk factor-based predictive model of outcomes in CEA.

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