ABSTRACT
OBJECTIVE: 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. METHODS: 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. RESULTS: 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. CONCLUSION: 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.
