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McQueen A, Escuer J, Schmidt AF, Aggarwal A, Kennedy S, McCormick C, Oldroyd K, McGinty S. An intricate interplay between stent drug dose and release rate dictates arterial restenosis. J Control Release 2022; 349:992-1008. [PMID: 35921913 DOI: 10.1016/j.jconrel.2022.07.037] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 07/14/2022] [Accepted: 07/26/2022] [Indexed: 10/15/2022]
Abstract
Since the introduction of percutaneous coronary intervention (PCI) for the treatment of obstructive coronary artery disease (CAD), patient outcomes have progressively improved. Drug eluting stents (DES) that employ anti-proliferative drugs to limit excess tissue growth following stent deployment have proved revolutionary. However, restenosis and a need for repeat revascularisation still occurs after DES use. Over the last few years, computational models have emerged that detail restenosis following the deployment of a bare metal stent (BMS), focusing primarily on contributions from mechanics and fluid dynamics. However, none of the existing models adequately account for spatiotemporal delivery of drug and the influence of this on the cellular processes that drive restenosis. In an attempt to fill this void, a novel continuum restenosis model coupled with spatiotemporal drug delivery is presented. Our results indicate that the severity and time-course of restenosis is critically dependent on the drug delivery strategy. Specifically, we uncover an intricate interplay between initial drug loading, drug release rate and restenosis, indicating that it is not sufficient to simply ramp-up the drug dose or prolong the time course of drug release to improve stent efficacy. Our model also shows that the level of stent over-expansion and stent design features, such as inter-strut spacing and strut thickness, influence restenosis development, in agreement with trends observed in experimental and clinical studies. Moreover, other critical aspects of the model which dictate restenosis, including the drug binding site density are investigated, where comparisons are made between approaches which assume this to be either constant or proportional to the number of smooth muscle cells (SMCs). Taken together, our results highlight the necessity of incorporating these aspects of drug delivery in the pursuit of optimal DES design.
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Affiliation(s)
- Alistair McQueen
- Division of Biomedical Engineering, University of Glasgow, Glasgow, UK
| | - Javier Escuer
- Aragón Institute for Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain
| | | | - Ankush Aggarwal
- Glasgow Computational Engineering Centre, Division of Infrastructure and Environment, University of Glasgow, Glasgow, UK
| | - Simon Kennedy
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | | | - Keith Oldroyd
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Sean McGinty
- Division of Biomedical Engineering, University of Glasgow, Glasgow, UK; Glasgow Computational Engineering Centre, Division of Infrastructure and Environment, University of Glasgow, Glasgow, UK.
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Xu K, Han Y, Xu B, Yang Y, Wang G, Li H, Sun Y, Tao L, Wang H, Yuan Z, Liu H, Liu J, Jia Y, Ma G, Fu G, Li X, Li S, Wang S, Pu K. Efficacy and safety of a second-generation biodegradable polymer sirolimus-eluting stent: One-year results of the CREDIT 2 trial. Cardiovasc Ther 2018; 36:e12327. [PMID: 29493880 DOI: 10.1111/1755-5922.12327] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2017] [Revised: 02/21/2018] [Accepted: 02/23/2018] [Indexed: 12/01/2022] Open
Abstract
AIMS We performed a multicenter, randomized controlled trial to determine the noninferiority of a novel biodegradable polymer drug-eluting stent (BP-DES), the EXCEL 2 stent, to the first-generation BP-DES, the EXCEL stent. METHODS AND RESULTS Patients (n = 419) scheduled to undergo percutaneous coronary intervention (PCI) were randomized to receive either the EXCEL 2 stent (n = 208) or the EXCEL stent (n = 211) from 15 Chinese centers. At 9 months, primary endpoint in-stent late loss (LL) difference was -0.03 mm (95% confidence interval: -0.09 mm to 0.04 mm) between the EXCEL 2 group (0.14 ± 0.26 mm) and the EXCEL group (0.16 ± 0.36 mm), demonstrating the noninferiority of EXCEL 2 to EXCEL in terms of in-stent LL (P for noninferiority < .0001). Besides, target lesion failure (TLF) was statistically lower in EXCEL 2 group compared with EXCEL through 1 year (HR [95%CI] = 0.45 [0.20,0.98], Plog-rank = .04). Definite/probable ST was observed in 0.0% vs 1.9% (P = .12) of EXCEL 2 vs EXCEL-treated subjects. CONCLUSIONS The second-generation BP-DES (EXCEL 2) was noninferior to the first-generation BP-DES (EXCEL) for the primary endpoint of in-stent LL at 9 months. Clinical Trial Registration-URL: http://www.clinicaltrials.gov. Unique identifier: NCT02057978.
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Affiliation(s)
- Kai Xu
- General Hospital of Shenyang Military Region, Shenyang, China
| | - Yaling Han
- General Hospital of Shenyang Military Region, Shenyang, China
| | - Bo Xu
- Fu Wai Hospital, National Center for Cardiovascular Diseases, Beijing, China
| | - Yuejin Yang
- Fu Wai Hospital, National Center for Cardiovascular Diseases, Beijing, China
| | - Geng Wang
- General Hospital of Shenyang Military Region, Shenyang, China
| | - Hui Li
- Daqing Oilfield General Hospital, Daqing, China
| | - Yong Sun
- The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Ling Tao
- Xijing Hospital of The Fourth Military Medical University, Xi'an, China
| | - Haichang Wang
- Tangdu Hospital of The Fourth Military Medical University, Xi'an, China
| | - Zuyi Yuan
- The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Huiliang Liu
- Chinese People's Armed Police Force General Hospital, Beijing, China
| | - Jinghua Liu
- Affiliated Anzhen Hospital of Capital Medical University, Beijing, China
| | - Yongping Jia
- First Hospital of Shanxi Medical University, Taiyuan, China
| | - Genshan Ma
- Zhongda Hospital Southeast University, Nanjing, China
| | - Guosheng Fu
- Affiliated Sir Run Run Shaw Hospital of Zhejiang University, Hangzhou, China
| | - Xiaodong Li
- Shengjing Hospital of China Medical University, Shenyang, China
| | - Shuren Li
- Hebei Ceneral Hospital, Shijiazhuang, China
| | | | - Kui Pu
- The 254th Hospital of PLA, Tianjin, China
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