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<p>Glaucoma is a leading cause of irreversible blindness, with current treatment strategies focusing on reducing the intraocular pressure (IOP). The Durysta<sup>®</sup> (bimatoprost) intracameral implant offers a sustained-release alternative to conventional eye drops by continuously delivering medication directly into the anterior chamber (AC). This study employs advanced computational modeling using ANSYS Fluent to investigate the interaction between aqueous humor (AH) flow and drug distribution following Durysta<sup>®</sup> implantation. Drug transport is modeled using the unsteady convection diffusion equation, and concentration profiles are analyzed at different times: 10&#xa0;min, 30&#xa0;min, 1&#xa0;h, 1&#xa0;day, 15&#xa0;days, 30&#xa0;days, and 60&#xa0;days. The results show that AH circulation significantly influences by Durysta<sup>®</sup> implant, with flow-driven mixing facilitating its distribution across ocular tissues. In the early phase, high concentration zones appear near the implant, while long-term simulations demonstrate sustained and uniform drug distribution throughout the AC. These findings advance the understanding of sustained intraocular drug delivery and establish a computational framework to guide the optimization of future implant designs, aiming to improve therapeutic outcomes in glaucoma management.</p> Graphical Abstract <p></p>

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Computational study of Durysta® implant for glaucoma treatment: drug dispersion and aqueous humor flow in the anterior chamber

  • 期刊论文

  • 发表日期：

    2026年2月10日

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  • Ajay Kumar,
  • Avula Benerji Babu,
  • Marepally Flarence

摘要

Glaucoma is a leading cause of irreversible blindness, with current treatment strategies focusing on reducing the intraocular pressure (IOP). The Durysta® (bimatoprost) intracameral implant offers a sustained-release alternative to conventional eye drops by continuously delivering medication directly into the anterior chamber (AC). This study employs advanced computational modeling using ANSYS Fluent to investigate the interaction between aqueous humor (AH) flow and drug distribution following Durysta® implantation. Drug transport is modeled using the unsteady convection diffusion equation, and concentration profiles are analyzed at different times: 10 min, 30 min, 1 h, 1 day, 15 days, 30 days, and 60 days. The results show that AH circulation significantly influences by Durysta® implant, with flow-driven mixing facilitating its distribution across ocular tissues. In the early phase, high concentration zones appear near the implant, while long-term simulations demonstrate sustained and uniform drug distribution throughout the AC. These findings advance the understanding of sustained intraocular drug delivery and establish a computational framework to guide the optimization of future implant designs, aiming to improve therapeutic outcomes in glaucoma management.

Graphical Abstract