Evidence map›Paper›PMID 41053839›Full record

ArticleCritical care (London, England)2025

Optimal cerebrovascular reactivity thresholds for the determination of individualized intracranial pressure thresholds in traumatic brain injury: a CAHR-TBI cohort study.

Kevin Y Stein, Donald Griesdale, Mypinder Sekhon, Francis Bernard, Clare Gallagher, Eric P Thelin, Rahul Raj, Marcel Aries, Logan Froese, Andreas H Kramer and 1 more

Abstract read
In one paragraph

Article in Critical care (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Kevin Y SteinDepartment of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada. steink34@myumanitoba.ca.
Donald GriesdaleDepartment of Anesthesiology, Pharmacology, and Therapeutics, University of British Columbia, Vancouver, BC, Canada.
Mypinder SekhonDepartment of Anesthesiology, Pharmacology, and Therapeutics, University of British Columbia, Vancouver, BC, Canada.
Francis BernardSection of Critical Care, Department of Medicine, University of Montreal, Montreal, QC, Canada.
Clare GallagherSection of Neurosurgery, University of Calgary, Calgary, AB, Canada.
Eric P ThelinMedical Unit Neurology, Karolinska University Hospital, Stockholm, Sweden.
Rahul RajDepartment of Neurosurgery, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Marcel AriesDepartment of Intensive Care, School of Mental Health and Neurosciences, Maastricht University Medical Center+, University Maastricht, Maastricht, Netherlands.
Logan FroeseMedical Unit Neurology, Karolinska University Hospital, Stockholm, Sweden.
Andreas H KramerDepartment of Clinical Neurosciences, University of Calgary, Calgary, AB, Canada.
Frederick A ZeilerDepartment of Biomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada.

Funding

Natural Sciences and Engineering Research Council of Canada ALLRP-576386-22Natural Sciences and Engineering Research Council of Canada CGS D-579021-2023
6 · The paper itself

Abstract

It has been demonstrated that patient-specific intracranial pressure (ICP) thresholds are possible to derive using the function intersectionality between ICP and cerebrovascular reactivity (CVR). Such individualized ICP (iICP) thresholds represent a potential personalized medicine approach to neurocritical care management. However, it is currently unknown how various CVR thresholds compare in regard to deriving iICP. Here we attempt to identify the CVR thresholds that are best suited for iICP derivation. Leveraging 365 patient data sets from the CAnadian High-Resolution TBI (CAHR-TBI) Research Collaborative, iICP was derived using three ICP-based CVR indices: the pressure reactivity index (PRx); the pulse amplitude index (PAx); and the RAC index, and thresholds ranging from - 1 to + 1, in 0.05 increments. Patients were dichotomized based on 6-month outcome scores into Alive vs. Dead and Favorable vs. Unfavorable outcome. 2 × 2 tables were created for each threshold, grouping patients by outcome and whether their mean ICP was greater or less than their calculated iICP. Chi-squares were calculated for each table and subsequently plotted. The thresholds that produced the largest Chi-square values were identified as those able to derive the iICP with the greatest ability to predict outcomes. Next, Spearman rank correlation testing was used to evaluate associations between iICP, for each threshold, and measures of cerebral physiologic insult burden. With consideration of yield data, ability to predict outcome, and association with cerebral physiologic insult burden, a threshold of + 0.05 was identified for PRx. No optimal threshold could be identified for PAx or RAC.

Indexed as

Brain Injuries, TraumaticCerebrovascular CirculationIntracranial PressureAdultAgedCanadaCohort StudiesFemaleHumansMaleMiddle AgedCerebrovascular reactivityCritical thresholdsIndividualized intracranial pressure thresholdsIntracranial pressurePersonalized physiologic targetsTraumatic brain injury

Identifiers

PMID41053839
PMCPMC12502327

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.