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Brachial-ankle pulse wave velocity for predicting functional outcome in acute stroke

DC Field Value Language
dc.contributor.author김영대-
dc.contributor.author김은혜-
dc.contributor.author김진권-
dc.contributor.author남정모-
dc.contributor.author남효석-
dc.contributor.author송동범-
dc.contributor.author이기정-
dc.contributor.author이혜선-
dc.contributor.author허지회-
dc.date.accessioned2015-01-06T17:06:43Z-
dc.date.available2015-01-06T17:06:43Z-
dc.date.issued2014-
dc.identifier.issn0039-2499-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/99365-
dc.description.abstractBACKGROUND AND PURPOSE: We investigated whether the brachial-ankle pulse wave velocity (baPWV) has prognostic value for predicting functional outcome after acute cerebral infarction and whether the prognostic value differs between stroke subtypes. METHODS: We included 1091 consecutive patients with first-ever acute cerebral infarction who underwent baPWV measurements. Stroke subtypes were classified using the Trial of Org 10172 in Acute Stroke Treatment classification. Poor functional outcomes were defined as modified Rankin Scale score >2 at 3 months after stroke onset. RESULTS: We noted that 181 (16.59%) patients had a poor functional outcome. In multivariate logistic regression, patients in the highest tertile of baPWV (>22.25 m/s) were found to be at increased risk for poor functional outcome (adjusted odds ratio, 1.88; 95% confidence interval, 1.06-3.40) compared with those in the lowest tertile (<17.55 m/s). No significant interaction between baPWV and stroke subtype was noted. Receiver operating characteristic curve analysis indicated that the addition of baPWV to the prediction model significantly improved the discrimination ability for poor functional outcome. CONCLUSIONS: baPWV has an independent prognostic value for predicting functional outcome after acute cerebral infarction. The prognostic value did not differ according to the stroke subtype.-
dc.description.statementOfResponsibilityopen-
dc.format.extent2305~2310-
dc.relation.isPartOfSTROKE-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAged-
dc.subject.MESHAnkle Brachial Index-
dc.subject.MESHBlood Flow Velocity/physiology*-
dc.subject.MESHBrachial Artery/physiopathology*-
dc.subject.MESHBrain Ischemia/drug therapy-
dc.subject.MESHBrain Ischemia/physiopathology*-
dc.subject.MESHFemale-
dc.subject.MESHFibrinolytic Agents/therapeutic use-
dc.subject.MESHHumans-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHPredictive Value of Tests-
dc.subject.MESHPrognosis-
dc.subject.MESHPulse Wave Analysis*-
dc.subject.MESHRetrospective Studies-
dc.subject.MESHStroke/drug therapy-
dc.subject.MESHStroke/physiopathology*-
dc.subject.MESHTissue Plasminogen Activator/therapeutic use-
dc.subject.MESHTreatment Outcome-
dc.titleBrachial-ankle pulse wave velocity for predicting functional outcome in acute stroke-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Neurology (신경과학)-
dc.contributor.googleauthorJinkwon Kim-
dc.contributor.googleauthorTae-Jin Song-
dc.contributor.googleauthorEun Hye Kim-
dc.contributor.googleauthorKi Jeong Lee-
dc.contributor.googleauthorHye Sun Lee-
dc.contributor.googleauthorChung Mo Nam-
dc.contributor.googleauthorDongbeom Song-
dc.contributor.googleauthorHyo Suk Nam-
dc.contributor.googleauthorYoung Dae Kim-
dc.contributor.googleauthorJi Hoe Heo-
dc.identifier.doi10.1161/STROKEAHA.114.005576-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA00702-
dc.contributor.localIdA01012-
dc.contributor.localIdA01264-
dc.contributor.localIdA01273-
dc.contributor.localIdA02017-
dc.contributor.localIdA02696-
dc.contributor.localIdA04369-
dc.contributor.localIdA03312-
dc.contributor.localIdA00828-
dc.relation.journalcodeJ02690-
dc.identifier.eissn1524-4628-
dc.identifier.pmid24968933-
dc.identifier.urlhttp://stroke.ahajournals.org/content/45/8/2305.long-
dc.subject.keywordprognosis-
dc.subject.keywordpulse wave analysis-
dc.subject.keywordstroke-
dc.contributor.alternativeNameKim, Young Dae-
dc.contributor.alternativeNameKim, Eun Hye-
dc.contributor.alternativeNameKim, Jin Kwon-
dc.contributor.alternativeNameNam, Jung Mo-
dc.contributor.alternativeNameNam, Hyo Suk-
dc.contributor.alternativeNameSong, Dong Beom-
dc.contributor.alternativeNameLee, Ki Jeong-
dc.contributor.alternativeNameLee, Hye Sun-
dc.contributor.alternativeNameHeo, Ji Hoe-
dc.contributor.affiliatedAuthorKim, Young Dae-
dc.contributor.affiliatedAuthorKim, Jin Kwon-
dc.contributor.affiliatedAuthorNam, Jung Mo-
dc.contributor.affiliatedAuthorNam, Hyo Suk-
dc.contributor.affiliatedAuthorSong, Dong Beom-
dc.contributor.affiliatedAuthorLee, Ki Jeong-
dc.contributor.affiliatedAuthorHeo, Ji Hoe-
dc.contributor.affiliatedAuthorLee, Hye Sun-
dc.contributor.affiliatedAuthorKim, Eun Hye-
dc.rights.accessRightsfree-
dc.citation.volume45-
dc.citation.number8-
dc.citation.startPage2305-
dc.citation.endPage2310-
dc.identifier.bibliographicCitationSTROKE, Vol.45(8) : 2305-2310, 2014-
dc.identifier.rimsid57219-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Neurology (신경과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Preventive Medicine (예방의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Yonsei Biomedical Research Center (연세의생명연구원) > 1. Journal Papers

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