24938712<\/a><\/p>\nAbstract<\/h2>\n
BACKGROUND: <\/strong>Assessing hospital quality in the performance of carotid endarterectomy (CEA) requires appropriate risk adjustment across hospitals with varying case mixes. The aim of this study was to develop and validate a prediction model to assess the risk of in-hospital stroke or death after CEA that could aid in the assessment of hospital quality.<\/p>\nMETHODS AND RESULTS: <\/strong>Patients from National Cardiovascular Data Registry (NCDR)’s Carotid Artery Revascularization and Endarterectomy (CARE) Registry undergoing CEA without acute evolving stroke from 2005 to 2013 were included. In-hospital stroke or death was modeled using hierarchical logistic regression with 20 candidate variables and accounting for hospital-level clustering. Internal validation was achieved with bootstrapping; model discrimination and calibration were assessed. A total of 213 (1.7%) primary end point events occurred during 12 889 procedures. Independent predictors of stroke or death included age, prior peripheral artery disease, diabetes mellitus, prior coronary artery disease, having a symptomatic carotid lesion, having a contralateral carotid occlusion, or having New York Heart Association Class III or IV heart failure. The model was well calibrated and demonstrated moderate discriminative ability (c-statistic 0.65). The NCDR CEA score was then developed to support simple, prospective risk quantification in the clinical setting.<\/p>\nCONCLUSIONS: <\/strong>The NCDR CEA score, comprising 7 clinical variables, predicts in-hospital stroke or death after CEA. This model can be used to estimate hospital risk-adjusted outcomes for CEA and to assist with the assessment of hospital quality.<\/p><\/p>\n","protected":false},"excerpt":{"rendered":"Wimmer NJ, Spertus JA, Kennedy KF, Anderson HV, Curtis JP, Weintraub WS, Singh M, Rumsfeld JS, Masoudi FA, Yeh RW J Am Heart Assoc 2014 Jun;3(3):e000728 PMID: 24938712 Abstract BACKGROUND: Assessing hospital quality in the performance of carotid endarterectomy (CEA) requires appropriate risk adjustment across hospitals with varying case mixes. The aim of this study<\/p>\n
Continue reading Clinical prediction model suitable for assessing hospital quality for patients undergoing carotid endarterectomy<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-6678","post","type-post","status-publish","format-standard","hentry","category-pubs-pres"],"acf":[],"_links":{"self":[{"href":"https:\/\/research.christianacare.org\/publications\/wp-json\/wp\/v2\/posts\/6678","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/research.christianacare.org\/publications\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/research.christianacare.org\/publications\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/research.christianacare.org\/publications\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/research.christianacare.org\/publications\/wp-json\/wp\/v2\/comments?post=6678"}],"version-history":[{"count":0,"href":"https:\/\/research.christianacare.org\/publications\/wp-json\/wp\/v2\/posts\/6678\/revisions"}],"wp:attachment":[{"href":"https:\/\/research.christianacare.org\/publications\/wp-json\/wp\/v2\/media?parent=6678"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/research.christianacare.org\/publications\/wp-json\/wp\/v2\/categories?post=6678"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/research.christianacare.org\/publications\/wp-json\/wp\/v2\/tags?post=6678"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}