Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Comparative Study
. 2019 Jan;126(1):49-54.
doi: 10.1016/j.ophtha.2018.07.031. Epub 2018 Aug 13.

Association between Rates of Visual Field Progression and Intraocular Pressure Measurements Obtained by Different Tonometers

Affiliations
Comparative Study

Association between Rates of Visual Field Progression and Intraocular Pressure Measurements Obtained by Different Tonometers

Bianca N Susanna et al. Ophthalmology. 2019 Jan.

Abstract

Purpose: To investigate the associations between intraocular pressure (IOP) measurements obtained by different tonometric methods and rates of visual field loss in a cohort of patients with glaucoma followed over time.

Design: Prospective, observational cohort study.

Participants: This study included 213 eyes of 125 glaucomatous patients who were followed for an average of 2.4±0.6 years.

Methods: At each visit, IOP measurements were obtained using Goldmann applanation tonometry (GAT), the Ocular Response Analyzer (ORA) (Reichert, Inc., Depew, NY), corneal-compensated IOP (IOPcc), and the ICare Rebound Tonometer (RBT) (Tiolat, Oy, Helsinki, Finland). Rates of visual field loss were assessed by standard automated perimetry (SAP) mean deviation (MD). Linear mixed models were used to investigate the relationship between mean IOP by each tonometer and rates of visual field loss over time, while adjusting for age, race, central corneal thickness, and corneal hysteresis.

Main outcome measures: Strength of associations (R2) between IOP measurements from each tonometer and rates of SAP MD change over time.

Results: Average values for mean IOP over time measured by GAT, ORA, and RBT were 14.4±3.3, 15.2±4.2, and 13.4±4.2 mmHg, respectively. Mean IOPcc had the strongest relationship with SAP MD loss over time (R2 = 24.5%) and was significantly different from the models using mean GAT IOP (R2 = 11.1%; 95% confidence interval [CI] of the difference, 6.6-19.6) and mean RBT IOP (R2= 5.8%; 95% CI of the difference, 11.1-25.0).

Conclusions: Mean ORA IOPcc was more predictive of rates of visual field loss than mean IOP obtained by GAT or RBT. By correcting for corneal-induced artifacts, IOPcc measurements may present significant advantages for predicting clinically relevant outcomes in patients with glaucoma.

PubMed Disclaimer

Figures

Figure 1.
Figure 1.
Scatterplot illustrating the relationship between rates of change in standard automated perimetry mean deviation (MD) and intraocular pressure (IOP) measurements obtained by Goldmann applanation tonometry, ocular response analyzer corneal-compensated tonometry and iCare rebound tonometry.

References

    1. Weinreb RN, Aung T, Medeiros FA. The pathophysiology and treatment of glaucoma: a review. JAMA 2014;311 (18): 1901–11. - PMC - PubMed
    1. The Advanced Glaucoma Intervention Study (AGIS): 7. The relationship between control of intraocular pressure and visual field deterioration.The AGIS Investigators. Am J Ophthalmol 2000;130(4):429–40. - PubMed
    1. O’Brien C, Schwartz B, Takamoto T. Intraocular pressure and the rate of visual field loss in chronic open-angle glaucoma. American journal of ophthalmology 1991;111 (4):491–500. - PubMed
    1. Leske MC, Heijl A, Hyman L, et al. Predictors of long-term progression in the early manifest glaucoma trial. Ophthalmology 2007;114(11):1965–72. - PubMed
    1. Oliver JE, Hattenhauer MG, Herman D, et al. Blindness and glaucoma: a comparison of patients progressing to blindness from glaucoma with patients maintaining vision. American journal of ophthalmology 2002;133(6):764–72. - PubMed

Publication types

MeSH terms