Investigative Ophthalmology & Visual Science Cover Image for Volume 61, Issue 7
June 2020
Volume 61, Issue 7
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ARVO Annual Meeting Abstract  |   June 2020
IOP lowering efficacy of adjunctive netarsudil(Rhopressa): a retrospective chart review.
Author Affiliations & Notes
  • Priyanka Mehta
    Hofstra University, Hempstead, New York, United States
  • Kevin Kaplowitz
    Ophthalmology, Loma Linda Veterans Affairs Medical Center, Loma Linda, California, United States
  • Jacqueline Lenoci
    Ophthalmology, Stony Brook University Medical Center, Stony Brook, New York, United States
  • Barbara Nemesure
    Preventive Medicine, Stony Brook University Medical Center, Stony Brook, New York, United States
  • Meredith Regina-Gigliotti
    Ophthalmology, Northport Veterans Affairs Medical Center, Northport, New York, United States
  • Robert Honkanen
    Ophthalmology, Stony Brook University Medical Center, Stony Brook, New York, United States
  • Footnotes
    Commercial Relationships   Priyanka Mehta, None; Kevin Kaplowitz, None; Jacqueline Lenoci, None; Barbara Nemesure, None; Meredith Regina-Gigliotti, None; Robert Honkanen, None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science June 2020, Vol.61, 1237. doi:
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      Priyanka Mehta, Kevin Kaplowitz, Jacqueline Lenoci, Barbara Nemesure, Meredith Regina-Gigliotti, Robert Honkanen; IOP lowering efficacy of adjunctive netarsudil(Rhopressa): a retrospective chart review.. Invest. Ophthalmol. Vis. Sci. 2020;61(7):1237.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : Medical management remains the mainstay of glaucoma (Glc) treatment. Netarsudil (NET), the first medication in a new class of Glc medications called rho-kinase inhibitors, works by enhancing trabecular meshwork outflow. We hypothesized that NET would combine synergistically with other Glc medications due to its different mechanism of action.

Methods : A retrospective chart review for patients started on adjunctive NET therapy in a tertiary care Glc clinic between 3/25/2018 and 6/27/2019 was performed. Patient demographics were recorded. Visual acuity, intraocular pressure (IOP), number of Glc medications, and adverse effects were recorded at three points: Baseline, first IOP check on NET (Visit1), and last IOP check on NET during the study period (Visit2). When used bilaterally, only the mean IOP change for both eyes was reported (one value per subject). Descriptive statistics were done. Student’s T-test was used to test for differences between groups.

Results : 92 patient charts had data at Visit1. 44% were male. Mean age (±SEM) was 72.9 ± 1.53 years. Glc diagnoses included: POAG 60.2%, exfoliation 8.6%, chronic angle-closure 6.3%, pigmentary 5.9%, ocular hypertension 5.4%, and other 13.6%. Prior surgeries included: ALT 25.8%, trabeculectomy 18.3%, seton 12.4%, trabectome 8.6%, and iStent 3.8%. Mean duration of NET treatment at Visit1 was 50 ± 4 days. The mean number of Glc medications at Baseline was 3.9 ± 0.1. At Visit1, mean IOP decreased 2.2 ± 0.5 mmHg (p<0.0001). Common adverse effects included: injection (19.5%), medicamentosa (9.7%), subconjunctival hemorrhage (8.6%), tearing (8.6%), pain/burning (6.5%), and itching(5.4). Vision and number of Glc medications were unchanged. At Visit2, 44 patients continued on NET therapy (181 ± 13 days after baseline). Side effects caused 10.8% of patients to discontinue therapy. At Visit2, mean IOP reduced by 3.7 ± 0.9 mmHg (p=0.0003). The distribution of IOP changes are seen in figures 1 and 2.

Conclusions : NET is a safe, efficacious and useful new adjunctive therapy for Glc treatment. IOP reductions between 1-5 mmHg are typical, but more pronounced effects (>10 mmHg) are seen. Our results support the use of NET for refractory Glc. Further analysis may shed light on the etiology of NET’s variable IOP lowering effect in this patient cohort.

This is a 2020 ARVO Annual Meeting abstract.

 

Figure1: Distribution of IOP change on NET at Visit1.

Figure1: Distribution of IOP change on NET at Visit1.

 

Figure2: Distribution of IOP change on NET at Visit2.

Figure2: Distribution of IOP change on NET at Visit2.

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