Abnormal quantitative pupillary light responses following COVID-19.

PURPOSE: To characterize alterations in pupillary light reflex responses in subjects following coronavirus disease 2019 (COVID-19), especially those with long-COVID. METHODS: Thirty-five subjects with previous COVID-19 and 30 healthy control participants were enrolled in this cross-sectional comparative study. An infrared dynamic pupillometry system (MonPack One; Metrovision, France) was used to quantify pupillary light responses. The National Institute for Health and Care Excellence (NICE) long-COVID questionnaire was used to identify persisting symptoms at least 4 weeks after acute COVID-19. RESULTS: The median time after the diagnosis of acute COVID-19 was 4.0 (2.0-5.0) months. There was an increase in the latency of pupil contraction (P = 0.001) and a reduction in the duration of pupil contraction (P = 0.039) in post-COVID-19 subjects compared to healthy controls. No significant differences were observed in the initial pupil diameter, amplitude and velocity of pupil contraction or latency, velocity and duration of pupil dilation. Long-COVID was present in 25/35 (71%) subjects and their duration of pupil contraction was reduced compared to subjects without long-COVID (P = 0.009). The NICE long-COVID questionnaire total score (ρ = - 0.507; P = 0.002) and neurological score (ρ = - 0.412; P = 0.014) correlated with the duration of pupil contraction and the total score correlated with the latency of dilation (ρ = - 0.352; P = 0.038). CONCLUSION: Dynamic pupillometry reveals significant alterations in contractile pupillary light responses, indicative of parasympathetic dysfunction after COVID-19.

7-Year Experience with Automated Pupillometry and Direct Integration With the Hospital Electronic Medical Record.

INTRODUCTION: Manual pupillary assessments are an integral part of the neurologic evaluation in critically ill patients. Automated pupillometry provides reliable, consistent, and accurate measurement of the light response. We established a computer interface that allows for direct download of pupillometer information to our hospital electronic medical record (EMR). Here, we report our single-center experience. METHODS: An interface allowing direct download of pupillometer data to our EMR was developed. We then performed a prospective study using an electronic survey distributed to nurses that used pupillometers in 2015, 2018, and 2020 using a 5-point Likert-style format to evaluate the acceptance of this implementation. RESULTS: In 2015, 22 nurses were surveyed, with 50% of the respondents citing lack of pupillometers and 41% citing the labor intensity associated with data entry as the reason for the reluctance to use the pupillometer. The number of nurse responses in 2018 increased to 123, with 78% of nurses finding that the direct download to hospital EMR improved the efficiency of their neurologic exams. In 2020, 108 nurses responded with similar responses to those in 2018. We added 3 additional questions regarding utility of the pupillometer during the COVID-19 pandemic. Fifty-eight percent of nurses were reassured of the neurologic exam when using the pupillometer in lieu of a full exam to limit infectious exposure. CONCLUSIONS: This is the first report of the implementation of a direct interface to download pupillometer data to the EMR. The positive effect on nursing workflow and documentation of pupillary findings is discussed.