Cited 25 times in
Predicting Asymptomatic Coronary Artery Disease in Patients With Ischemic Stroke and Transient Ischemic Attack The PRECORIS Score
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 송동범 | - |
dc.contributor.author | 최병욱 | - |
dc.contributor.author | 허지회 | - |
dc.date.accessioned | 2015-01-06T16:27:44Z | - |
dc.date.available | 2015-01-06T16:27:44Z | - |
dc.date.issued | 2014 | - |
dc.identifier.issn | 0039-2499 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/98149 | - |
dc.description.abstract | BACKGROUND AND PURPOSE: Identifying occult coronary artery stenosis may improve secondary prevention of stroke patients. The aim of this study was to derive and validate a simple score to predict severe occult coronary artery stenosis in stroke patients. METHODS: We derived a score from a French hospital-based cohort of consecutive patients (n=300) who had an ischemic stroke or a transient ischemic attack and no previous history of coronary heart disease (Predicting Asymptomatic Coronary Artery Disease in Patients With Ischemic Stroke and Transient Ischemic Attack [PRECORIS] score) and validated the score in a similar Korean cohort (n=1602). In both cohorts, severe coronary artery stenosis was defined by the presence of at least 1≥50% coronary artery stenosis as detected by 64-section CT coronary angiography. RESULTS: A 5-point score (Framingham Risk Score-predicted 10-year coronary heart disease risk [≥20%=3; 10-19%=1; <10%=0] and cervicocephalic artery stenosis [≥50%=2; <50%=1; none=0]) was predictive of occult≥50% coronary artery stenosis risk in the derivation cohort (C-statistic=0.77 [0.70-0.84]) and in the validation cohort (C-statistic=0.66 [0.63-0.68]). The predictive ability of the score was even stronger when only ≥50% left main trunk disease or 3-vessel disease were considered (C-statistic=0.83 [0.74-0.92] and 0.70 [0.66-0.74] in derivation and validation cohorts, respectively). The prevalence of occult≥50% coronary artery stenosis and ≥50% left main trunk or 3-vessel disease increased gradually with the PRECORIS score, reaching 44.2% and 13.5% in derivation cohort and 49.8% and 12.8% in validation cohort in patients with a PRECORIS score≥4. CONCLUSIONS: The PRECORIS score can identify a population of stroke or transient ischemic attack patients with a high prevalence of occult severe coronary artery stenosis. | - |
dc.description.statementOfResponsibility | open | - |
dc.format.extent | 82~86 | - |
dc.relation.isPartOf | STROKE | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.subject.MESH | Aged | - |
dc.subject.MESH | Asian Continental Ancestry Group | - |
dc.subject.MESH | Brain Ischemia/complications* | - |
dc.subject.MESH | Cohort Studies | - |
dc.subject.MESH | Coronary Angiography | - |
dc.subject.MESH | Coronary Artery Disease/complications | - |
dc.subject.MESH | Coronary Artery Disease/diagnosis* | - |
dc.subject.MESH | Coronary Stenosis/diagnosis | - |
dc.subject.MESH | Female | - |
dc.subject.MESH | Forecasting | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Ischemic Attack, Transient/complications* | - |
dc.subject.MESH | Male | - |
dc.subject.MESH | Middle Aged | - |
dc.subject.MESH | Prevalence | - |
dc.subject.MESH | Reproducibility of Results | - |
dc.subject.MESH | Risk Assessment | - |
dc.subject.MESH | Stroke/complications* | - |
dc.subject.MESH | Tomography, X-Ray Computed | - |
dc.title | Predicting Asymptomatic Coronary Artery Disease in Patients With Ischemic Stroke and Transient Ischemic Attack The PRECORIS Score | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Neurology (신경과학) | - |
dc.contributor.googleauthor | David Calvet | - |
dc.contributor.googleauthor | Dongbeom Song | - |
dc.contributor.googleauthor | Joonsang Yoo | - |
dc.contributor.googleauthor | Guillaume Turc | - |
dc.contributor.googleauthor | Jean-Louis Sablayrolles | - |
dc.contributor.googleauthor | Byoung Wook Choi | - |
dc.contributor.googleauthor | Ji Hoe Heo | - |
dc.contributor.googleauthor | Jean-Louis Mas | - |
dc.identifier.doi | 10.1161/STROKEAHA.113.003414 | - |
dc.admin.author | false | - |
dc.admin.mapping | false | - |
dc.contributor.localId | A02017 | - |
dc.contributor.localId | A04059 | - |
dc.contributor.localId | A04369 | - |
dc.relation.journalcode | J02690 | - |
dc.identifier.eissn | 1524-4628 | - |
dc.identifier.pmid | 24203840 | - |
dc.identifier.url | http://stroke.ahajournals.org/content/45/1/82.long | - |
dc.subject.keyword | coronary artery disease | - |
dc.subject.keyword | risk factors | - |
dc.contributor.alternativeName | Song, Dong Beom | - |
dc.contributor.alternativeName | Choi, Byoung Wook | - |
dc.contributor.alternativeName | Heo, Ji Hoe | - |
dc.contributor.affiliatedAuthor | Song, Dong Beom | - |
dc.contributor.affiliatedAuthor | Choi, Byoung Wook | - |
dc.contributor.affiliatedAuthor | Heo, Ji Hoe | - |
dc.rights.accessRights | free | - |
dc.citation.volume | 45 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 82 | - |
dc.citation.endPage | 86 | - |
dc.identifier.bibliographicCitation | STROKE, Vol.45(1) : 82-86, 2014 | - |
dc.identifier.rimsid | 50681 | - |
dc.type.rims | ART | - |
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