Objective Pupillometry as an Adjunct to Prediction and Assessment for Oculomotor Nerve Injury and Recovery: Potential for Practical Applications.


Journal

World neurosurgery
ISSN: 1878-8769
Titre abrégé: World Neurosurg
Pays: United States
ID NLM: 101528275

Informations de publication

Date de publication:
Jan 2019
Historique:
received: 14 06 2018
revised: 17 09 2018
accepted: 18 09 2018
pubmed: 30 9 2018
medline: 3 1 2019
entrez: 30 9 2018
Statut: ppublish

Résumé

Pupillary light reflex examinations are intrinsic to any good neurological examination. Consistent evidence has shown that automated pupillometry assessments provide superior accuracy and interrater correlation compared with bedside eye examinations. Pupillary indexes such as the neurological pupil index (NPI) can also provide several hours of warning before the advent of herniation syndromes or third nerve palsy. We determined the unique temporal relationship between NPI changes and third nerve palsy occurrence and recovery in an initially neurologically intact hospitalized patient. A 53-year-old woman presented with aneurysmal subarachnoid hemorrhage and headaches. Her aneurysm was treated surgically without complications. After lumbar drainage for hydrocephalus, she developed isolated left third nerve palsy that slowly recovered over the following weeks. Pupilometer data were obtained throughout her hospital stay. A total of 121 pupillary measurement sets were obtained. The NPI had decreased to an abnormal level (<3) 12 hours before she became symptomatic. The NPI also started improving 24 hours before improvement in her clinical examination. The patient did not display signs of neurological dysfunction related to vasospasm during her stay. The NPI seems to reliably correlate with third nerve function and appears to possess predictive temporal properties that could allow practitioners to anticipate neurological injury and recovery. These findings could affect the fields of neurosciences, trauma, military medicine, critical care, and ophthalmology.

Sections du résumé

BACKGROUND BACKGROUND
Pupillary light reflex examinations are intrinsic to any good neurological examination. Consistent evidence has shown that automated pupillometry assessments provide superior accuracy and interrater correlation compared with bedside eye examinations. Pupillary indexes such as the neurological pupil index (NPI) can also provide several hours of warning before the advent of herniation syndromes or third nerve palsy.
METHODS METHODS
We determined the unique temporal relationship between NPI changes and third nerve palsy occurrence and recovery in an initially neurologically intact hospitalized patient. A 53-year-old woman presented with aneurysmal subarachnoid hemorrhage and headaches. Her aneurysm was treated surgically without complications. After lumbar drainage for hydrocephalus, she developed isolated left third nerve palsy that slowly recovered over the following weeks. Pupilometer data were obtained throughout her hospital stay.
RESULTS RESULTS
A total of 121 pupillary measurement sets were obtained. The NPI had decreased to an abnormal level (<3) 12 hours before she became symptomatic. The NPI also started improving 24 hours before improvement in her clinical examination. The patient did not display signs of neurological dysfunction related to vasospasm during her stay.
CONCLUSION CONCLUSIONS
The NPI seems to reliably correlate with third nerve function and appears to possess predictive temporal properties that could allow practitioners to anticipate neurological injury and recovery. These findings could affect the fields of neurosciences, trauma, military medicine, critical care, and ophthalmology.

Identifiants

pubmed: 30267943
pii: S1878-8750(18)32186-7
doi: 10.1016/j.wneu.2018.09.140
pii:
doi:

Types de publication

Case Reports Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e475-e480

Informations de copyright

Copyright © 2018 Elsevier Inc. All rights reserved.

Auteurs

Salah G Aoun (SG)

Department of Neurological Surgery, University of Texas Southwestern Medical Center, Houston, Texas, USA. Electronic address: Salah.aoun@phhs.org.

Babu G Welch (BG)

Department of Neurological Surgery, University of Texas Southwestern Medical Center, Houston, Texas, USA.

Michaela Cortes (M)

Department of Neurological Surgery, University of Texas Southwestern Medical Center, Houston, Texas, USA.

Sonja E Stutzman (SE)

Department of Neurological Surgery, University of Texas Southwestern Medical Center, Houston, Texas, USA; Department of Neurology and Neurotherapeutics, University of Texas Southwestern Medical Center, Houston, Texas, USA; Division of Neurocritical Care, University of Texas Southwestern Medical Center, Houston, Texas, USA.

Matthew C MacAllister (MC)

Department of Neurological Surgery, University of Texas Southwestern Medical Center, Houston, Texas, USA.

Tarek Y El Ahmadieh (TY)

Department of Neurological Surgery, University of Texas Southwestern Medical Center, Houston, Texas, USA.

Mohamed Osman (M)

Division of Neurocritical Care, University of Texas Southwestern Medical Center, Houston, Texas, USA.

Stephen A Figueroa (SA)

Department of Neurological Surgery, University of Texas Southwestern Medical Center, Houston, Texas, USA; Division of Neurocritical Care, University of Texas Southwestern Medical Center, Houston, Texas, USA.

Jonathan A White (JA)

Department of Neurological Surgery, University of Texas Southwestern Medical Center, Houston, Texas, USA.

Hunt H Batjer (HH)

Department of Neurological Surgery, University of Texas Southwestern Medical Center, Houston, Texas, USA.

Daiwai M Olson (DM)

Department of Neurological Surgery, University of Texas Southwestern Medical Center, Houston, Texas, USA; Department of Neurology and Neurotherapeutics, University of Texas Southwestern Medical Center, Houston, Texas, USA.

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Classifications MeSH