Literature DB >> 30484008

A Systematic Review Assessing the Current State of Automated Pupillometry in the NeuroICU.

Stephen S Phillips1, Claire M Mueller1, Raul G Nogueira2,3, Yousuf M Khalifa4,5.   

Abstract

The aim of this study was to assess the current state of automated pupillometry technology and its application in the neurointensive care unit (neuroICU). We performed a literature search using the PubMed, MEDLINE, and EMBASE databases from database inception through a search end date of October 18, 2018, to identify studies reporting on the use of automated pupillometry in the care of critically ill patients with neurological impairment. Two independent reviewers reviewed all titles and abstracts in two filtering phases. Data were extracted independently. One hundred and forty-one articles/abstracts have been published on the use of automated pupillometry in critical care since inception of the PubMed, MEDLINE, and EMBASE databases. We selected and reviewed 22 full-text articles and 8 abstracts, of which 26 were prospective, 2 were retrospective, and 2 were larger case series. Automated pupillometry increased precision, reliability, and reproducibility compared with the manual pupillary examination; detected subtle and early pupillary changes; detected pupillary changes that indicate a rise, or impending rise, in intracranial pressure detected level of analgesia and depth of sedation; served as a prognostic indicator; estimated the clinical severity of aneurysmal subarachnoid hemorrhage; and served as a noninvasive monitor of response to osmotic therapy. At present, no consensus guidelines exist endorsing routine use of automated pupillometry in the neuroICU. However, an increasing quantity of research supports the usefulness of automated pupillometry in this setting. Further large-scale prospective studies are needed before updated consensus guidelines recommending widespread adoption of automated pupillometry are produced.

Entities:  

Keywords:  Computer-assisted; Diagnosis; Diagnostic techniques; Monitoring; Neurological examination; Ophthalmological; Physiologic; Pupillary; Reflex

Mesh:

Year:  2019        PMID: 30484008     DOI: 10.1007/s12028-018-0645-2

Source DB:  PubMed          Journal:  Neurocrit Care        ISSN: 1541-6933            Impact factor:   3.210


  1 in total

1.  Objective Nociceptive Assessment in Ventilated ICU Patients: A Feasibility Study Using Pupillometry and the Nociceptive Flexion Reflex.

Authors:  Davina Wildemeersch; Jens Gios; Philippe G Jorens; Guy H Hans
Journal:  J Vis Exp       Date:  2018-07-04       Impact factor: 1.355

  1 in total
  12 in total

Review 1.  Automated Pupillometry in Neurocritical Care: Research and Practice.

Authors:  Bethany L Lussier; DaiWai M Olson; Venkatesh Aiyagari
Journal:  Curr Neurol Neurosci Rep       Date:  2019-08-23       Impact factor: 5.081

Review 2.  Multimodal Neurologic Monitoring in Children With Acute Brain Injury.

Authors:  Jennifer C Laws; Lori C Jordan; Lindsay M Pagano; John C Wellons; Michael S Wolf
Journal:  Pediatr Neurol       Date:  2022-02-02       Impact factor: 3.372

3.  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

4.  Outcome Prognostication of Acute Brain Injury using the Neurological Pupil Index (ORANGE) study: protocol for a prospective, observational, multicentre, international cohort study.

Authors:  Mauro Oddo; Fabio Taccone; Stefania Galimberti; Paola Rebora; Giuseppe Citerio
Journal:  BMJ Open       Date:  2021-05-11       Impact factor: 2.692

5.  Automated pupillometry and the FOUR score - what is the diagnostic benefit in neurointensive care?

Authors:  Markus Harboe Olsen; Helene Ravnholt Jensen; Søren Røddik Ebdrup; Nina Hvid Topp; Ditte Gry Strange; Kirsten Møller; Daniel Kondziella
Journal:  Acta Neurochir (Wien)       Date:  2020-05-07       Impact factor: 2.216

6.  Assessment of Combination of Automated Pupillometry and Heart Rate Variability to Detect Driving Fatigue.

Authors:  Lin Shi; Leilei Zheng; Danni Jin; Zheng Lin; Qiaoling Zhang; Mao Zhang
Journal:  Front Public Health       Date:  2022-02-21

Review 7.  Brain death: a clinical overview.

Authors:  William Spears; Asim Mian; David Greer
Journal:  J Intensive Care       Date:  2022-03-16

8.  Intrasession repeatability of pupil size measurements under different light levels provided by a multidiagnostic device in healthy eyes.

Authors:  David P Piñero; Dolores de Fez; Inmaculada Cabezos; Alberto López-Navarro; María T Caballero; Vicente J Camps
Journal:  BMC Ophthalmol       Date:  2020-08-31       Impact factor: 2.209

9.  Early Pupillometry Assessment in Traumatic Brain Injury Patients: A Retrospective Study.

Authors:  Thomas Luz Teixeira; Lorenzo Peluso; Pierluigi Banco; Hassane Njimi; Layal Abi-Khalil; Mélanie Chanchay Pillajo; Sophie Schuind; Jacques Creteur; Pierre Bouzat; Fabio Silvio Taccone
Journal:  Brain Sci       Date:  2021-12-20

Review 10.  The Importance of Neuromonitoring in Non Brain Injured Patients.

Authors:  Denise Battaglini; Paolo Pelosi; Chiara Robba
Journal:  Crit Care       Date:  2022-03-22       Impact factor: 9.097

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