Literature DB >> 31160216

A comparison of manual pupil examination versus an automated pupillometer in a specialised neurosciences intensive care unit.

Joshua Smith1, Oliver Flower2, Ashleigh Tracey2, Phil Johnson2.   

Abstract

BACKGROUND: The assessment of pupil size and reaction to light is a fundamental part of the neurological assessment; however, manual examination is prone to inaccuracies. The use of an automated infrared pupillometer is one strategy to limit error in pupil examination.
OBJECTIVE: The main objective was to assess agreement between manual examination and examination using an automated infrared pupillometer in relation to pupil reaction and size in a specialised neurosciences intensive care unit.
METHODS: We conducted a single-centre prospective observational study in a specialised tertiary neurosciences intensive care unit. Participants' pupils were examined hourly for 24 h by both manual examination using a pen torch and examination using an automated infrared pupillometer.
RESULTS: Twenty-two participants were enrolled. A total of 935 paired pupil observations were obtained for both pupil reaction and size. There was no statistically significant disagreement in assessing pupil reaction (McNemar's test p = 0.106). Percentage agreement was 96.68% for pupil reaction, with Kappa coefficient, 0.841 (95% confidence interval: 0.7864-0.8956). For all participants, the mean difference in pupil size was 0.154 mm, with limits of agreement of -1.294 mm to +1.603 mm.
CONCLUSION: There was no significant disagreement between manual and automated pupillometer observations for pupil reaction. The mean difference in measurement of pupil size was small.
Copyright © 2019 Australian College of Critical Care Nurses Ltd. All rights reserved.

Entities:  

Keywords:  Intensive care units; Neurosciences; Pupil; Pupillary; Pupillometer; Reflex

Mesh:

Year:  2019        PMID: 31160216     DOI: 10.1016/j.aucc.2019.04.005

Source DB:  PubMed          Journal:  Aust Crit Care        ISSN: 1036-7314            Impact factor:   2.737


  3 in total

1.  The use of automated pupillometry to assess cerebral autoregulation: a retrospective study.

Authors:  Armin Quispe Cornejo; Carla Sofía Fernandes Vilarinho; Ilaria Alice Crippa; Lorenzo Peluso; Lorenzo Calabrò; Jean-Louis Vincent; Jacques Creteur; Fabio Silvio Taccone
Journal:  J Intensive Care       Date:  2020-07-31

2.  Inter-device measurement variability of vital data parameters for keratorefractive and cataract refractive surgery.

Authors:  Piotr Kanclerz; Katarzyna Przewłócka; Xiaogang Wang
Journal:  Ther Adv Ophthalmol       Date:  2021-09-20

3.  Superior reproducibility and repeatability in automated quantitative pupillometry compared to standard manual assessment, and quantitative pupillary response parameters present high reliability in critically ill cardiac patients.

Authors:  Benjamin Nyholm; Laust Obling; Christian Hassager; Johannes Grand; Jacob Møller; Marwan Othman; Daniel Kondziella; Jesper Kjaergaard
Journal:  PLoS One       Date:  2022-07-28       Impact factor: 3.752

  3 in total

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