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The association between intraocular pressure dynamics during dark-room prone testing and intraocular pressure over a relatively long-term follow-up period in primary open-glaucoma patients. | LitMetric

AI Article Synopsis

  • - The study aimed to explore how changes in intraocular pressure (IOP) during Dark-Room Prone Testing (DRPT) relate to IOP levels over a two-year period in patients with primary open-angle glaucoma.
  • - A total of 84 eyes from 51 patients were analyzed, focusing on IOP measurements taken both in a sitting position and after lying prone in a dark room, with a focus on IOP fluctuations and maximum values.
  • - Results showed a significant increase in IOP after DRPT, suggesting that short-term IOP responses can help predict long-term IOP changes in glaucoma patients.

Article Abstract

Purpose: To investigate the relationship between the dynamics of intraocular pressure (IOP) during dark-room prone testing (DRPT) and IOP over a relatively long-term follow-up period.

Methods: This retrospective study enrolled 84 eyes of 51 primary open-angle glaucoma patients who underwent DRPT for whom at least three IOP measurements made using Goldmann applanation tonometry were available over a maximum follow-up period of two years. We excluded eyes with a history of intraocular surgery or laser treatment and those with changes in topical anti-glaucoma medication during the follow-up period. In DRPT, IOP was measured in the sitting position, and after 60 min in the prone position in a dark room, IOP was measured again. In this study, IOP fluctuation refers to the standard deviation (SD) of IOP, and IOP max indicates the maximum value of IOP during the follow-up. The relationship between these parameters was analyzed with a linear mixed-effects model, adjusting for clinical parameters including age, gender, and axial length.

Results: IOP increased after DRPT with a mean of 6.13 ± 3.55 mmHg. IOP max was significantly associated with IOP after DRPT (β = 0.38; p < 0.001). IOP fluctuation was significantly associated with IOP change in DRPT (β = 0.29; p = 0.007).

Conclusion: Our findings suggest that short-term and relatively long-term IOP dynamics are associated. Long-term IOP dynamics can be predicted by DRPT to some extent.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10907413PMC
http://dx.doi.org/10.1007/s00417-023-06257-0DOI Listing

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