ArticleJournal of intensive care2020
The use of automated pupillometry to assess cerebral autoregulation: a retrospective study.
Article in Journal of intensive care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Reliability and validity of the mean flow index (Mx) for assessing cerebral autoregulation in humans: A systematic review of the methodology.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022Pooled it
- Mean flow index (Mxa) algorithm option can influence cerebral autoregulation classification in critically ill septic patients.Journal of clinical monitoring and computing · 2026Article
- Development and validation of an interpretable machine learning model for early prediction in patients with diabetes and sepsis.Scientific reports · 2025Article
- Myths and methodologies: Assessment of dynamic cerebral autoregulation by the mean flow index.Experimental physiology · 2024Article
- Observational
- Neurological Pupil Index and Delayed Cerebral Ischemia after Subarachnoid Hemorrhage: A Retrospective Multicentric Study.Neurocritical care · 2023Article
- Effects of apolipoprotein E polymorphism on cerebral oxygen saturation, cerebral perfusion, and early prognosis after traumatic brain injury.Annals of clinical and translational neurology · 2023Article
- Automated Pupillometry as an Assessment Tool for Intracranial Hemodynamics in Septic Patients.Cells · 2022Observational
- Reliability of cerebral autoregulation using different measures of perfusion pressure in patients with subarachnoid hemorrhage.Physiological reports · 2022Article
Corrections and comments
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCritically ill patients are at high risk of developing neurological complications. Among all the potential aetiologies, brain hypoperfusion has been advocated as one of the potential mechanisms. Impairment of cerebral autoregulation (CAR) can result in brain hypoperfusion. However, assessment of CAR is difficult at bedside. We aimed to evaluate whether the automated pupillometer might be able to detect impaired CAR in critically ill patients.
methodsWe included 92 patients in this retrospective observational study; 52 were septic. CAR was assessed using the Mxa index, which is the correlation index between continuous recording of cerebral blood flow velocities using the transcranial Doppler and invasive arterial blood pressure over 8 ± 2 min. Impaired CAR was defined as an Mxa > 0.3. Automated pupillometer (Neuroptics, Irvine, CA, USA) was used to assess the pupillary light reflex concomitantly to the CAR assessment.
resultsThe median Mxa was 0.33 in the whole cohort (0.33 in septic patients and 0.31 in the non-septic patients;
conclusionsAutomated pupillometry cannot predict CAR indices such as Mxa in a heterogeneous population of critically ill patients.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.