4.7 Article

Mathematical modelling of endovascular drug delivery: Balloons versus stents

Journal

INTERNATIONAL JOURNAL OF PHARMACEUTICS
Volume 620, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.ijpharm.2022.121742

Keywords

Pharmacokinetics; Drug-coated balloons; Drug-eluting stents; Computational modelling

Funding

  1. Spanish Ministry of Economy, Industry and Competitiveness [PID2019-107517RB-I00]
  2. Department of Industry and Innovation (Government of Aragon) [T24-20R]
  3. Carlos III Health Institute (ISCIII) through the CIBER initiative
  4. EPSRC [EP/S030875/1, EP/T017899/1]

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The most common treatment for obstructive coronary artery disease is the implantation of a permanent drug-eluting stent, but it has drawbacks such as delayed healing and challenges in treating re-narrowing. Drug-coated balloons provide a potential solution. This paper presents a computational model that compares drug delivery from drug-coated balloons and drug-eluting stents, and suggests the potential of designing drug-coated balloons with similar safety and efficacy to commercial drug-eluting stents.
The most common treatment for obstructive coronary artery disease (CAD) is the implantation of a permanent drug-eluting stent (DES). Not only has this permanency been associated with delayed healing of the artery, but it also poses challenges when treating subsequent re-narrowing due to in-stent restenosis (ISR). Drug-coated balloons (DCBs) provide a potential solution to each of these issues. While their use has been primarily limited to treating ISR, in recent years, DCBs have emerged as an attractive potential alternative to DESs for the treatment of certain de novo lesions. However, there remain a number of concerns related to the safety and efficacy of these devices. Firstly, unlike DESs, DCBs necessitate a very short drug delivery window, favouring a higher drug loading. Secondly, while the majority of coronary DCBs in Europe are coated with paclitaxel, the potential mortality signal raised with paclitaxel DCBs in peripheral interventions has shifted efforts towards the development of limus-eluting balloons. The purpose of this paper is to provide a computational model that allows drug delivery from DCBs and DESs to be investigated and compared. We present a comprehensive computational framework that employs a 2D-axisymmetric geometry, incorporates two nonlinear phases of drug binding (specific and non-specific) and includes the influence of diffusion and advection, within a multilayer arterial wall. We utilise this framework to (i) simulate drug delivery from different types of balloon platform; (ii) explore the influence of DCB application time; (iii) elucidate the importance on release kinetics of elevated pressure during DCB application; (iv) compare DCB delivery of two different drugs (sirolimus and paclitaxel) and; (v) compare simulations of DESs versus DCBs. Key measures of comparison are related to safety (drug content in tissue, DC) and efficacy (specific binding site saturation, %SBSS) markers. Our results highlight the pros and cons of each device in terms of DC and %SBSS levels achieved and, moreover, indicate the potential for designing a DCB that gives rise to sufficiently similar safety and efficacy indicators as current commercial DESs.

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