Carlos Gustavo De Moraes1, Kaweh Mansouri2,3, Jeffrey M Liebmann1, Robert Ritch4. 1. Bernard and Shirlee Brown Glaucoma Research Laboratory, Edward S. Harkness Eye Institute, Columbia University Medical Center, New York, New York. 2. Glaucoma Research Center, Montchoisi Clinic, Swiss Vision Network, Lausanne, Switzerland. 3. Department of Ophthalmology, University of Colorado, Denver, Colorado. 4. Einhorn Clinical Research Center, New York Eye and Ear Infirmary of Mount Sinai, New York, New York.
Abstract
Importance: Twenty-four-hour intraocular pressure (IOP) patterns may provide more information regarding rates of visual field progression than office-hour measurements. However, little is known about the added value of 24-hour monitoring when stratifying glaucoma risk based on rates of progression. Objective: To test the hypothesis that 24-hour IOP-related patterns recorded with a contact lens sensor (CLS) correlate with prior rates of visual field progression. Design, Setting, and Participants: A multicenter, retrospective cohort study was conducted at 50 ophthalmology care centers in 13 countries. Participants included 445 patients (445 eyes) with treated, manifest open-angle glaucoma. The study was conducted from November 8, 1999, to September 17, 2016. Interventions: Twenty-four-hour recordings of IOP-related patterns were prospectively collected with a CLS system. Retrospective visual field data of patients who underwent at least 3 prior reliable visual field tests were examined. Main Outcomes and Measures: Association between CLS variables and rates of visual field mean deviation (MD) change. Results: Of the 445 patients included, 238 (53.5%) were women and 394 (88.5%) were white. The mean (SD) age and MD values at the time of CLS recording were 68.9 (11.2) years and -9.0 (7.0) dB. The mean rate of MD change was -0.46 (0.5) dB/y in 5.2 (3) years of follow-up. After adjusting for baseline MD severity, age, and treatment, the following CLS variables were associated with fast visual field progression: mean peak ratio while awake (β = -0.021; 95% CI, -0.04 to -0.003), number of long peaks during sleep (β = 0.036; 95% CI, 0.005 to 0.067), night bursts ocular pulse frequency SD (β = 0.027; 95% CI, 0.004 to 0.051), and night bursts ocular pulse amplitude SD (β = 19.739; 95% CI, 1.333 to 38.145). Regression models including CLS variables had better fit than Goldmann IOP when testing the association with rates of progression. Conclusions and Relevance: Results of this study indicate that 24-hour CLS recordings may be associated with prior rates of visual field progression of glaucoma. This association appears to be better than Goldmann mean IOP measured multiple times during office hours. Therefore, the CLS may be useful to assess the risk of future functional loss, even in situations when insufficient historical visual field information is available.
Importance: Twenty-four-hour intraocular pressure (IOP) patterns may provide more information regarding rates of visual field progression than office-hour measurements. However, little is known about the added value of 24-hour monitoring when stratifying glaucoma risk based on rates of progression. Objective: To test the hypothesis that 24-hour IOP-related patterns recorded with a contact lens sensor (CLS) correlate with prior rates of visual field progression. Design, Setting, and Participants: A multicenter, retrospective cohort study was conducted at 50 ophthalmology care centers in 13 countries. Participants included 445 patients (445 eyes) with treated, manifest open-angle glaucoma. The study was conducted from November 8, 1999, to September 17, 2016. Interventions: Twenty-four-hour recordings of IOP-related patterns were prospectively collected with a CLS system. Retrospective visual field data of patients who underwent at least 3 prior reliable visual field tests were examined. Main Outcomes and Measures: Association between CLS variables and rates of visual field mean deviation (MD) change. Results: Of the 445 patients included, 238 (53.5%) were women and 394 (88.5%) were white. The mean (SD) age and MD values at the time of CLS recording were 68.9 (11.2) years and -9.0 (7.0) dB. The mean rate of MD change was -0.46 (0.5) dB/y in 5.2 (3) years of follow-up. After adjusting for baseline MD severity, age, and treatment, the following CLS variables were associated with fast visual field progression: mean peak ratio while awake (β = -0.021; 95% CI, -0.04 to -0.003), number of long peaks during sleep (β = 0.036; 95% CI, 0.005 to 0.067), night bursts ocular pulse frequency SD (β = 0.027; 95% CI, 0.004 to 0.051), and night bursts ocular pulse amplitude SD (β = 19.739; 95% CI, 1.333 to 38.145). Regression models including CLS variables had better fit than Goldmann IOP when testing the association with rates of progression. Conclusions and Relevance: Results of this study indicate that 24-hour CLS recordings may be associated with prior rates of visual field progression of glaucoma. This association appears to be better than Goldmann mean IOP measured multiple times during office hours. Therefore, the CLS may be useful to assess the risk of future functional loss, even in situations when insufficient historical visual field information is available.
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