Dataset Information

Estimation of 24-Hour Intraocular Pressure Peak Timing and Variation Using a Contact Lens Sensor.

ABSTRACT: To compare estimates of 24-hour intraocular pressure (IOP) peak timing and variation obtained using a contact lens sensor (CLS) and using a pneumatonometer.Laboratory data collected from 30 healthy volunteers (ages, 20-66 years) in a randomized, controlled clinical trial were analyzed. Participants were housed for 24 hours in a sleep laboratory. One randomly selected right or left eye was fitted with a CLS that monitored circumferential curvature in the corneoscleral region related to the change of IOP. Electronic output signals of 30 seconds were averaged and recorded every 5 minutes. In the contralateral eye, habitual IOP measurements were taken using a pneumatonometer once every two hours. Simulated 24-hour rhythms in both eyes were determined by cosinor fitting. Simulated peak timings (acrophases) and simulated data variations (amplitudes) were compared between the paired eyes.Bilateral change patterns of average 24-hour data for the group were in parallel. The simulated peak timing in the CLS fitted eye occurred at 4:44 AM ± 210 min (mean ± SD) and the IOP peak timing in the contralateral eye at 4:11 AM ± 120 min (P=0.256, Wilcoxon signed-rank test). There was no significant correlation between the simulated data variations in the paired eyes (P=0.820, linear regression).The 24-hour CLS data showed a simulated peak timing close to the 24-hour IOP peak timing obtained using the pneumatonometer. However, the simulated variations of 24-hour data in the paired eyes were not correlated. Estimated 24-hour IOP rhythms using the two devices should not be considered interchangeable.

SUBMITTER: Liu JH

PROVIDER: S-EPMC4468106 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Estimation of 24-Hour Intraocular Pressure Peak Timing and Variation Using a Contact Lens Sensor.

Liu John H K JH Mansouri Kaweh K Weinreb Robert N RN

PloS one 20150615 6

<h4>Purpose</h4>To compare estimates of 24-hour intraocular pressure (IOP) peak timing and variation obtained using a contact lens sensor (CLS) and using a pneumatonometer.<h4>Methods</h4>Laboratory data collected from 30 healthy volunteers (ages, 20-66 years) in a randomized, controlled clinical trial were analyzed. Participants were housed for 24 hours in a sleep laboratory. One randomly selected right or left eye was fitted with a CLS that monitored circumferential curvature in the corneoscle ...[more]

PMID: 26076472

Similar Datasets

Project description: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 (??=?-0.021; 95% CI, -0.04 to -0.003), number of long peaks during sleep (??=?0.036; 95% CI, 0.005 to 0.067), night bursts ocular pulse frequency SD (??=?0.027; 95% CI, 0.004 to 0.051), and night bursts ocular pulse amplitude SD (??=?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.

Dataset Information

Estimation of 24-Hour Intraocular Pressure Peak Timing and Variation Using a Contact Lens Sensor.

Publications

Estimation of 24-Hour Intraocular Pressure Peak Timing and Variation Using a Contact Lens Sensor.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets