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Komaki S., Ishii M., Kaichi R., Takae M., Mori T., Toida R., Kurogi K., Matsuura Y., Yamamoto N., Tsujita K., Tsuruda T., Kaikita K.
Heart and Vessels 2023年
担当区分:筆頭著者 記述言語:日本語 掲載種別:研究論文(学術雑誌) 出版者・発行元:Heart and Vessels
The relationship between coronary artery calcium (CAC) and bleeding events after percutaneous coronary intervention (PCI) in patients with chronic coronary syndrome (CCS) is not well established. This study aimed to examine the association between CAC scores and clinical outcomes after PCI in patients with CCS. This retrospective observational study included 295 consecutive patients who underwent multidetector computer tomography and were scheduled for their first elective PCI. Patients were categorized into two groups based on the CAC scores (low: ≤ 400 or high: > 400). The bleeding risk was evaluated using the Academic Research Consortium for High Bleeding Risk (ARC-HBR) criteria. The primary clinical outcome was a major bleeding event within 1 year after PCI, defined as Bleeding Academic Research Consortium (BARC) 3 or 5. The high CAC score group had a higher proportion of patients meeting the ARC-HBR criteria than the low CAC score group (52.7% vs. 31.3%, p < 0.001). Kaplan–Meier survival analysis showed that the incidence of major bleeding events was higher in the high CAC score group as compared to the low CAC score group (p < 0.001). Furthermore, multivariate Cox regression anal ysis revealed that a high CAC score was an independent determinant of major bleeding events during the first year after PCI. A high CAC score is significantly associated with the incidence of major bleeding events after PCI in CCS patients.
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Successful Stent-less Percutaneous Coronary Intervention of Chronic Total Occlusion by Ablation Devices in a Young Adult. 査読あり
Komaki S, Kurogi K, Yamamoto N, Kaikita K.
PCR online / EuroIntervention. 2021年11月
記述言語:英語 掲載種別:研究論文(学術雑誌)
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Association between coronary artery calcium score and stent expansion in percutaneous coronary intervention. 査読あり
Soichi Komaki, Masanobu Ishii, Sou Ikebe, Ryota Kaichi, Takayuki Mori, Kyohei Marume, Kazumasa Kurogi, Nobuyasu Yamamoto
International Journal of Cardiology 334 31 - 36 2021年7月
担当区分:筆頭著者 掲載種別:研究論文(学術雑誌)
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Optical Coherence Tomography Illuminates Intravascular Ultrasound-Invisible Sac-Like Structure After Stent Implantation. 査読あり
Soichi Komaki, Masanobu Ishii, Kazumasa Kurogi, Nobuyasu Yamamoto
Circulation Journal 85 ( 7 ) 1099 2021年6月
担当区分:筆頭著者 掲載種別:研究論文(学術雑誌)
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Kurogi K., Ishii M., Nagatomo T., Tokai T., Kaichi R., Takae M., Mori T., Komaki S., Yamamoto N., Tsujita K.
Journal of Cardiovascular Computed Tomography 2023年
記述言語:日本語 掲載種別:研究論文(学術雑誌) 出版者・発行元:Journal of Cardiovascular Computed Tomography
Background: Multi-slice computed tomography (CT) allows noninvasive evaluation of the severity of coronary calcification. However, there has yet to be a definitive parameter based on the cross-sectional CT image for predicting the need for rotational atherectomy (RA). Therefore, we aimed to investigate the mean density of cross-sectional CT images to predict the need for RA during percutaneous coronary intervention (PCI). Methods: A total of 154 lesions with moderate to severe calcification detected in coronary angiography were identified in 126 patients who underwent coronary CT prior to PCI for stable angina. PCI with RA was performed for 48 lesions, and the remaining 106 were treated without RA. Multi-slice CT was retrospectively evaluated for its ability to predict the use of RA. We chose the most severely calcified cross-sectional image for each lesion. The mean density within the outer vessel contour, calcium arc quadrant of the cross-sectional CT image, calcium length, calcification remodeling index, and per-lesion coronary artery calcium score was studied. Results: Receiver-operator characteristic curve analysis revealed 637 Hounsfield units (HU) (area under the curve = 0.98, 95% confidence interval: 0.97–1.00, p < 0.001) as the best mean density cutoff value for predicting RA. Multivariate logistic regression analysis showed that a mean calcium level >637 HU was a strong independent predictor (odds ratio: 32.8, 95% confidence interval: 7.0–153, p < 0.001) for using RA. Conclusions: The mean density of the cross-sectional CT image, a simple quantitative parameter, was the strongest predictor of the need for RA during PCI.