ArticleFrontiers in neurology2022
Automated Pupillometry for Prediction of Electroencephalographic Reactivity in Critically Ill Patients: A Prospective Cohort Study.
Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
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Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.
- Quantitative pupillometry in predicting delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage: a systematic review and meta-analysis.Neurosurgical review · 2026Pooled it
- Evaluation of Objective Sedation Monitoring Practices in Critically Ill Adult Patients: A Systematic Review and Meta-Analysis.Critical care explorations · 2025Pooled it
- Prognostic role of quantitative pupillometry in traumatic brain injury: a scoping review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025Article
- Spectral edge frequency and dilation pupillary velocity in critically ill patients: a pilot study.Critical care (London, England) · 2025Article
- Dynamically Normalized Pupillometry for Detecting Delayed Cerebral Ischemia After Aneurysmal Subarachnoid Hemorrhage.Critical care explorations · 2024Observational
- Automated Pupillometry Is Able to Discriminate Patients with Acute Stroke from Healthy Subjects: An Observational, Cross-Sectional Study.Brain sciences · 2024Article
- Neurological Pupil Index and Delayed Cerebral Ischemia after Subarachnoid Hemorrhage: A Retrospective Multicentric Study.Neurocritical care · 2023Article
- PupillOmetry for preDIction of DeliriUM in ICU (PODIUM): protocol for a prospective multicentre cohort study.BMJ open · 2023Article
- Application of Pupillometry in Neurocritical Patients.Journal of personalized medicine · 2023Review
- Automated Pupillometry as an Assessment Tool for Intracranial Hemodynamics in Septic Patients.Cells · 2022Observational
Corrections and comments
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Authors and funding
15 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Electroencephalography (EEG) is widely used to monitor critically ill patients. However, EEG interpretation requires the presence of an experienced neurophysiologist and is time-consuming. Aim of this study was to evaluate whether parameters derived from an automated pupillometer (AP) might help to assess the degree of cerebral dysfunction in critically ill patients. Methods: Prospective study conducted in the Department of Intensive Care of Erasme University Hospital in Brussels, Belgium. Pupillary assessments were performed using the AP in three subgroups of patients, concomitantly monitored with continuous EEG: "anoxic brain injury", "Non-anoxic brain injury" and "other diseases". An independent neurologist blinded to patient's history and AP results scored the degree of encephalopathy and reactivity on EEG using a standardized scale. The mean value of Neurologic Pupil Index (NPi), pupillary size, constriction rate, constriction and dilation velocity (CV and DV) and latency for both eyes, obtained using the NPi®-200 (Neuroptics, Laguna Hills, CA, USA), were reported. Results: We included 214 patients (mean age 60 years, 55% male). EEG tracings were categorized as: mild ( Conclusions: This study suggests that low DV measured by the AP might effectively identify an unreactive EEG background, in particular in critically ill patients without anoxic brain injury.
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