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Clinical and Coronary Plaque Predictors of Atherosclerotic Nonresponse to Statin Therapy

DC Field Value Language
dc.contributor.author이병권-
dc.contributor.author장혁재-
dc.contributor.author성지민-
dc.date.accessioned2023-10-19T06:02:51Z-
dc.date.available2023-10-19T06:02:51Z-
dc.date.issued2023-04-
dc.identifier.issn1936-878X-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/196336-
dc.description.abstractBackground: Statins reduce the incidence of major cardiovascular events, but residual risk remains. The study examined the determinants of atherosclerotic statin nonresponse. Objectives: This study aimed to investigate factors associated with statin nonresponse-defined atherosclerosis progression in patients treated with statins. Methods: The multicenter PARADIGM (Progression of AtheRosclerotic PlAque DetermIned by Computed TomoGraphic Angiography Imaging) registry included patients who underwent serial coronary computed tomography angiography ≥2 years apart, with whole-heart coronary tree quantification of vessel, lumen, and plaque, and matching of baseline and follow-up coronary segments and lesions. Patients with statin use at baseline and follow-up coronary computed tomography angiography were included. Atherosclerotic statin nonresponse was defined as an absolute increase in percent atheroma volume (PAV) of 1.0% or more per year. Furthermore, a secondary endpoint was defined by the additional requirement of progression of low-attenuation plaque or fibro-fatty plaque. Results: The authors included 649 patients (age 62.0 ± 9.0 years, 63.5% male) on statin therapy and 205 (31.5%) experienced atherosclerotic statin nonresponse. Age, diabetes, hypertension, and all atherosclerotic plaque features measured at baseline scan (high-risk plaque [HRP] features, calcified and noncalcified PAV, and lumen volume) were significantly different between patients with and without atherosclerotic statin nonresponse, whereas only diabetes, number of HRP features, and noncalcified and calcified PAV were independently associated with atherosclerotic statin nonresponse (odds ratio [OR]: 1.41 [95% CI: 0.95-2.11], OR: 1.15 [95% CI: 1.09-1.21], OR: 1.06 [95% CI: 1.02-1.10], OR: 1.07 [95% CI: 1.03-1.12], respectively). For the secondary endpoint (N = 125, 19.2%), only noncalcified PAV and number of HRP features were the independent determinants (OR: 1.08 [95% CI: 1.03-1.13] and OR: 1.21 [95% CI: 1.06-1.21], respectively). Conclusions: In patients treated with statins, baseline plaque characterization by plaque burden and HRP is associated with atherosclerotic statin nonresponse. Patients with the highest plaque burden including HRP were at highest risk for plaque progression, despite statin therapy. These patients may need additional therapies for further risk reduction.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherElsevier-
dc.relation.isPartOfJACC-CARDIOVASCULAR IMAGING-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.subject.MESHAged-
dc.subject.MESHAtherosclerosis* / pathology-
dc.subject.MESHComputed Tomography Angiography / methods-
dc.subject.MESHCoronary Angiography / methods-
dc.subject.MESHCoronary Artery Disease* / pathology-
dc.subject.MESHCoronary Vessels / pathology-
dc.subject.MESHDisease Progression-
dc.subject.MESHHumans-
dc.subject.MESHHydroxymethylglutaryl-CoA Reductase Inhibitors* / therapeutic use-
dc.subject.MESHMiddle Aged-
dc.subject.MESHPlaque, Atherosclerotic* / drug therapy-
dc.subject.MESHPredictive Value of Tests-
dc.subject.MESHProspective Studies-
dc.titleClinical and Coronary Plaque Predictors of Atherosclerotic Nonresponse to Statin Therapy-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Internal Medicine (내과학교실)-
dc.contributor.googleauthorSophie E van Rosendael-
dc.contributor.googleauthorA Maxim Bax-
dc.contributor.googleauthorFay Y Lin-
dc.contributor.googleauthorStephan Achenbach-
dc.contributor.googleauthorDaniele Andreini-
dc.contributor.googleauthorMatthew J Budoff-
dc.contributor.googleauthorFilippo Cademartiri-
dc.contributor.googleauthorTracy Q Callister-
dc.contributor.googleauthorKavitha Chinnaiyan-
dc.contributor.googleauthorBenjamin J W Chow-
dc.contributor.googleauthorRicardo C Cury-
dc.contributor.googleauthorAugustin J DeLago-
dc.contributor.googleauthorGudrun Feuchtner-
dc.contributor.googleauthorMartin Hadamitzky-
dc.contributor.googleauthorJoerg Hausleiter-
dc.contributor.googleauthorPhilipp A Kaufmann-
dc.contributor.googleauthorYong-Jin Kim-
dc.contributor.googleauthorJonathon A Leipsic-
dc.contributor.googleauthorErica Maffei-
dc.contributor.googleauthorHugo Marques-
dc.contributor.googleauthorPedro de Araújo Gonçalves-
dc.contributor.googleauthorGianluca Pontone-
dc.contributor.googleauthorGilbert L Raff-
dc.contributor.googleauthorRonen Rubinshtein-
dc.contributor.googleauthorTodd C Villines-
dc.contributor.googleauthorHyuk-Jae Chang-
dc.contributor.googleauthorDaniel S Berman-
dc.contributor.googleauthorJames K Min-
dc.contributor.googleauthorJeroen J Bax-
dc.contributor.googleauthorLeslee J Shaw-
dc.contributor.googleauthorAlexander R van Rosendael-
dc.identifier.doi10.1016/j.jcmg.2022.10.017-
dc.contributor.localIdA02793-
dc.contributor.localIdA03490-
dc.relation.journalcodeJ01192-
dc.identifier.eissn1876-7591-
dc.identifier.pmid36648046-
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S1936878X22006556-
dc.subject.keywordatherosclerosis-
dc.subject.keywordcoronary computed tomography angiography-
dc.subject.keywordplaque progression-
dc.subject.keywordstatin nonresponse-
dc.contributor.alternativeNameLee, Byoung Kwon-
dc.contributor.affiliatedAuthor이병권-
dc.contributor.affiliatedAuthor장혁재-
dc.citation.volume16-
dc.citation.number4-
dc.citation.startPage495-
dc.citation.endPage504-
dc.identifier.bibliographicCitationJACC-CARDIOVASCULAR IMAGING, Vol.16(4) : 495-504, 2023-04-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers

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