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Association between in-stent neointimal characteristics and native coronary artery disease progression
DC Field | Value | Language |
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dc.contributor.author | 고영국 | - |
dc.contributor.author | 김병극 | - |
dc.contributor.author | 김중선 | - |
dc.contributor.author | 안철민 | - |
dc.contributor.author | 이승준 | - |
dc.contributor.author | 이용준 | - |
dc.contributor.author | 장양수 | - |
dc.contributor.author | 최동훈 | - |
dc.contributor.author | 홍명기 | - |
dc.contributor.author | 홍성진 | - |
dc.date.accessioned | 2021-05-26T16:52:34Z | - |
dc.date.available | 2021-05-26T16:52:34Z | - |
dc.date.issued | 2021-04 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/182876 | - |
dc.description.abstract | Background and aims: The prognosis of stented lesions differs according to in-stent neointimal characteristics on optical coherence tomography (OCT). In particular, patients who show in-stent heterogeneous neointima are associated with a higher incidence of target lesion revascularization (TLR) compared with those who show in-stent non-heterogeneous neointima. However, the relationship between in-stent neointimal characteristics and native coronary atherosclerosis progression has not been clearly elucidated. The study aimed to investigate the relationship between in-stent neointimal characteristics and progression of native atherosclerosis. Methods: The neointimal characteristics of 377 patients with 377 drug-eluting stents (DESs) were quantitatively and qualitatively assessed using OCT. The OCT-based neointima was categorized as homogeneous (n = 207), heterogeneous (n = 93), and layered (n = 77). The relationship of non-target lesion revascularization (non-TLR) with neointimal characteristics was evaluated after OCT examination of the stents. Results: After a median follow-up duration of 40.0 months, patients with heterogeneous neointima showed significantly higher non-TLR rates than those with homogeneous neointima and tended to have higher non-TLR rates than those with layered neointima (heterogeneous vs. homogeneous:14.0% vs. 8.7%, p = 0.046; heterogeneous vs. layered neointima:14.0% vs. 7.8%, p = 0.152). Multivariate analysis showed that the independent determinants for non-TLR were heterogeneous neointima (HR: 2.237, 95% CI: 1.023-4.890, p = 0.044) and chronic kidney disease (hazard ratio [HR]: 8.730, 95% CI: 2.175-35.036, p = 0.002). Conclusions: The heterogeneous neointima in DES-treated lesions was associated with a higher incidence of non-TLR and target lesion failure. This finding suggests that the neointimal pattern may reflect the progression of the native lesion. | - |
dc.description.statementOfResponsibility | open | - |
dc.language | English | - |
dc.publisher | Public Library of Science | - |
dc.relation.isPartOf | PLOS ONE | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.title | Association between in-stent neointimal characteristics and native coronary artery disease progression | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Internal Medicine (내과학교실) | - |
dc.contributor.googleauthor | Hae Won Jung | - |
dc.contributor.googleauthor | Chewan Lim | - |
dc.contributor.googleauthor | Han Joon Bae | - |
dc.contributor.googleauthor | Jung-Hee Lee | - |
dc.contributor.googleauthor | Yong-Joon Lee | - |
dc.contributor.googleauthor | Jung-Sun Kim | - |
dc.contributor.googleauthor | Seung-Jun Lee | - |
dc.contributor.googleauthor | Sung-Jin Hong | - |
dc.contributor.googleauthor | Chul-Min Ahn | - |
dc.contributor.googleauthor | Byeong-Keuk Kim | - |
dc.contributor.googleauthor | Young-Guk Ko | - |
dc.contributor.googleauthor | Donghoon Choi | - |
dc.contributor.googleauthor | Myeong-Ki Hong | - |
dc.contributor.googleauthor | Yangsoo Jang | - |
dc.identifier.doi | 10.1371/journal.pone.0247359 | - |
dc.contributor.localId | A00127 | - |
dc.contributor.localId | A00493 | - |
dc.contributor.localId | A00961 | - |
dc.contributor.localId | A02269 | - |
dc.contributor.localId | A02927 | - |
dc.contributor.localId | A02984 | - |
dc.contributor.localId | A03448 | - |
dc.contributor.localId | A04053 | - |
dc.contributor.localId | A04391 | - |
dc.contributor.localId | A04403 | - |
dc.relation.journalcode | J02540 | - |
dc.identifier.eissn | 1932-6203 | - |
dc.identifier.pmid | 33891606 | - |
dc.contributor.alternativeName | Ko, Young Guk | - |
dc.contributor.affiliatedAuthor | 고영국 | - |
dc.contributor.affiliatedAuthor | 김병극 | - |
dc.contributor.affiliatedAuthor | 김중선 | - |
dc.contributor.affiliatedAuthor | 안철민 | - |
dc.contributor.affiliatedAuthor | 이승준 | - |
dc.contributor.affiliatedAuthor | 이용준 | - |
dc.contributor.affiliatedAuthor | 장양수 | - |
dc.contributor.affiliatedAuthor | 최동훈 | - |
dc.contributor.affiliatedAuthor | 홍명기 | - |
dc.contributor.affiliatedAuthor | 홍성진 | - |
dc.citation.volume | 16 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | e0247359 | - |
dc.identifier.bibliographicCitation | PLOS ONE, Vol.16(4) : e0247359, 2021-04 | - |
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