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Luke Harmeling, Keith Jeffrey Lane, John David Rodriguez, Kirk Bateman, Michael Watson, George W Ousler; Continuous Tracking of Blink Patterns and Relationship to Ocular Symptoms during Daily Activities in a Dry Eye Population. Invest. Ophthalmol. Vis. Sci. 2015;56(7 ):4486.
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© ARVO (1962-2015); The Authors (2016-present)
To determine the relationship between hourly interblink interval data collected with continuous tracking of blink and subject-reported ocular symptoms during normal daily activities
Blink patterns presented by a population of age-matched dry eye (N=15) and normal (N=12) subjects were tracked for 10-14 hours on two successive days. Continuous blink data were collected using a commercially available ECG-monitoring device adapted to capture blink signaling and subsequently processed through software analysis. Mean hourly interblink intervals (IBI) were calculated from these raw data. All subjects completed an hourly diary recording primary activity and dry eye symptoms on a 0-5 severity scale. Hourly mean IBI were compared across symptom scores and activity using repeated measure ANOVA.
The most frequently reported visual tasks, as percent of total time monitored, were TV/computer work, 34%; driving, 20%, indoor physical work, 14%; conversation, 11%; and reading, 10%. The IBI for normal subjects was longer across all activities, with significant differences from dry eye subjects observed for conversation (p=0.007) and indoor work (p=0.004), and near significance for driving (p=0.058).<br /> Normal subjects did not report significant symptoms during the study. For the dry eye group, mean hourly IBI (5.42±0.22) during hours at which reported symptoms were low (score of ≤ 1) was significantly longer (p<0.004) than during hours at which symptom scores exceeded a score of 1 (score from 1 to ≤ 2: 4.49±0.19) (score from 2 to ≤ 3: 4.06±0.22) (score from 3 to ≤ 4: 4.29±0.32) (score > 4: 4.59±0.54), and did not show significant correlation with recorded activity.
Symptom information may be obtained consistently in conjunction with continuous tracking of blink patterns without restricting normal activities. These data provide insight into symptom variations during the day when evaluating treatment effects, and might prove useful in corroborating diary data in clinical trials.
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