Abstract
The examination of pupillary light reflexes is widely employed to evaluate the autonomic system's balance, ocular, and neurological conditions, typically evaluated by qualitative observation. To describe and evaluate the inter-rater reliability and agreement of pupillometric values obtained with a novel semi-automatic mobile pupillography app. Two examiners and two graders perform the measurements with an android app which corrects the device-face distance, measure the maximum contraction of the pupil, and calculates its slope, in a hospital room setting with three levels of environmental light intensity: <100, 101 to 200, and 201 to 300 lux, at 200, 400, 600, 900, 1200, and 1500 milliseconds. Sixty healthy individuals, aged 18 to 45, were included; 85% had brown eyes. The reliability of the pupil/iris ratio had Ri = 70% to 88%, and bland Altman graphics show a uniform agreement. The pupillography curves show a similar slope at different light intensities, during the contraction phase. There were very good repeatability and inter-rater reproducibility of the measurements at average levels of illumination in examination rooms, even in dark-eyed people. This app provides a highly promising approach to pupillary measurements in clinical practice.
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