Literature DB >> 27357218

Comparison of Chronic Angioscopic Findings of Bare Metal Stents, 1st-Generation Drug-Eluting Stents and 2nd-Generation Drug-Eluting Stents - Multicenter Study of Intra-Coronary Angioscopy After Stent (MICASA).

Kazuoki Dai1, Hiroshi Matsuoka, Hideo Kawakami, Tetsuya Sato, Kouki Watanabe, Yasuharu Nakama, Masaharu Ishihara.   

Abstract

BACKGROUND: No previous study has reported a comprehensive comparison of the chronic angioscopic findings after bare metal stent (BMS), and 1st- and 2nd-generation drug-eluting stents (DES). METHODS AND 
RESULTS: The Multicenter Study on Intra-Coronary Angioscopy after Stent (MICASA) is a multicenter registry of coronary angioscopy. A total of 264 stents were observed by coronary angioscopy 1 year after PCI. There were 15 BMS, 90 1st-generation DES, and 159 2nd-generation DES. Neointimal coverage (NC) of the stent was classified into 4 grades from 0 (no coverage) to 3 (complete coverage). Yellow color (YC) of plaque at the stented segment was graded from 0 (white) to 3 (bright yellow). Minimum (Min-) and Maximum (Max-) NC grade were significantly lower with 1st- and 2nd-generation DES than with BMS. Although the Max-NC grade was similar, the Min-NC grade was significantly higher for 2nd-generation DES than for 1st-generation DES. Both the YC grade and the incidence of thrombus with 2nd-generation DES were lower than with the 1st-generation DES and were comparable to BMS. Multivariate analysis showed that low-density lipoprotein, 1st-generation DES, and acute coronary syndrome were independent factors for yellow plaque (YG2 or 3), and that hypertension and 1st-generation DES were independent factors for the incidence of thrombus.
CONCLUSIONS: Coronary angioscopy revealed more homogeneous coverage with white neointima and less thrombus after 2nd-generation DES as compared with 1st-generation DES. These findings may explain the favorable clinical outcomes observed for patients treated with 2nd-generation DES. (Circ J 2016; 80: 1916-1921).

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Year:  2016        PMID: 27357218     DOI: 10.1253/circj.CJ-16-0121

Source DB:  PubMed          Journal:  Circ J        ISSN: 1346-9843            Impact factor:   2.993


  1 in total

1.  Automated interpretation of the coronary angioscopy with deep convolutional neural networks.

Authors:  Toru Miyoshi; Akinori Higaki; Hideo Kawakami; Osamu Yamaguchi
Journal:  Open Heart       Date:  2020-05
  1 in total

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