June 2023
Volume 64, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2023
Analyzing Intraocular Pressures Outside Clinic Hours to Understand Variations in Glaucoma Drug Response
Author Affiliations & Notes
  • Max Liu
    Ophthalmology and Visual Sciences, The Ohio State University Wexner Medical Center, Columbus, Ohio, United States
    The Ohio State University College of Medicine Office of Research, Columbus, Ohio, United States
  • Carol B Toris
    Ophthalmology and Visual Sciences, The Ohio State University Wexner Medical Center, Columbus, Ohio, United States
  • David Reed
    Ophthalmology and Visual Sciences, The Ohio State University Wexner Medical Center, Columbus, Ohio, United States
  • Arthur J Sit
    Ophthalmology, The Mayo Clinic, Rochester, Minnesota, United States
  • Arash Kazemi
    Ophthalmology, The Mayo Clinic, Rochester, Minnesota, United States
  • Vikas Gulati
    Ophthalmology and Visual Sciences, University of Nebraska Medical Center, Omaha, Nebraska, United States
  • Shan Fan
    Ophthalmology and Visual Sciences, University of Nebraska Medical Center, Omaha, Nebraska, United States
  • Robert Paul Baskin
    Ophthalmology and Visual Sciences, The Ohio State University Wexner Medical Center, Columbus, Ohio, United States
    The Ohio State University College of Medicine Office of Research, Columbus, Ohio, United States
  • Sayoko Eileen Moroi
    Ophthalmology and Visual Sciences, The Ohio State University Wexner Medical Center, Columbus, Ohio, United States
  • Footnotes
    Commercial Relationships   Max Liu None; Carol Toris None; David Reed None; Arthur Sit None; Arash Kazemi None; Vikas Gulati None; Shan Fan None; Robert Baskin None; Sayoko Moroi R01 EY022124, Code F (Financial Support)
  • Footnotes
    Support  EY022124
Investigative Ophthalmology & Visual Science June 2023, Vol.64, 1379. doi:
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    • Get Citation

      Max Liu, Carol B Toris, David Reed, Arthur J Sit, Arash Kazemi, Vikas Gulati, Shan Fan, Robert Paul Baskin, Sayoko Eileen Moroi; Analyzing Intraocular Pressures Outside Clinic Hours to Understand Variations in Glaucoma Drug Response. Invest. Ophthalmol. Vis. Sci. 2023;64(8):1379.

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

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Abstract

Purpose : To analyze 24-hour intraocular pressure (IOP) in primary open-angle glaucoma or ocular hypertensive patients on treatment with timolol and latanoprost and during washout in the Eye Dynamics and Engineering Network Aqueous Humor Dynamics clinical trial (NCT04412096).

Methods : Subjects measured IOP at least 6 times per day/night with rebound tonometry during 1 week at baseline (untreated), 1 week on timolol or latanoprost, weekly intervals during washout, and 1 week switched to the second medication. Cosinor analysis was used to model 24-hour IOP as a chronobiological dataset. Mesor (Midline Estimating Statistic Of Rhythm), or rhythmic mean, was determined using single-component cosinor regression. Kruskal-Wallis ANOVA tests with post-hoc Dunn’s test were used for comparing mesors from the different test periods.

Results : Twenty-one subjects (60.3 ± 8.1 years; 13 females; 8 males) were included with enrollment continuing. Latanoprost and timolol reduced mesor IOP by 2.5 mmHg (p = 0.0007) and 1.8 mmHg (p = 0.008), respectively. Mesor IOP did not change from baseline compared to 6 weeks of washout (Fig 1). Mesor IOP did not change compared to baseline during any week of latanoprost washout, i.e., latanoprost returned to baseline within one week of washout. Mesor IOP was below baseline for the first week of timolol washout only, i.e., timolol returned to baseline two weeks after washout began (p = 0.026). To examine whether cosinor was an appropriate model, the zero-amplitude test, which gives the probability of the best fitting cosine curve with no amplitude, was applied. This analysis found 75% (79/107) of the cosine curves had p-values < 0.05, indicating a cosine curve is a good fit. A greater number of IOPs was associated with a better fitting cosine curve.

Conclusions : One week treatment with latanoprost or timolol both reduced mesor IOP. The IOP-lowering effects of timolol persisted longer than latanoprost during one week of washout but not later. Cosinor is a good model for 24-hour changes in IOP if patients collect >5 diurnal measurements.

This abstract was presented at the 2023 ARVO Annual Meeting, held in New Orleans, LA, April 23-27, 2023.

 

Figure 1. Change in mesor IOP compared to baseline during treatment with latanoprost, timolol, and six weeks of washout from latanoprost (LW) and timolol (TW). The black line at zero indicates no change from baseline. Latanoprost and timolol mesor IOP change was significantly lower compared to washout.

Figure 1. Change in mesor IOP compared to baseline during treatment with latanoprost, timolol, and six weeks of washout from latanoprost (LW) and timolol (TW). The black line at zero indicates no change from baseline. Latanoprost and timolol mesor IOP change was significantly lower compared to washout.

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