Evidence map›Paper›PMID 40395643›Full record

ReviewFrontiers in physiology2025

Continuous personalized cerebrovascular reactivity-based physiologic metrics in neurocritical care: a narrative review of the current landscape, limitations, and future directions.

Kevin Y Stein, Logan Froese, Rakibul Hasan, Amanjyot Singh Sainbhi, Nuray Vakitbilir, Tobias Bergmann, Abrar Islam, Noah Silvaggio, Mansoor Hayat, Frederick A Zeiler

Abstract readReview
In one paragraph

Review in Frontiers in physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. 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

10 authors.

Kevin Y SteinBiomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada.
Logan FroeseDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Rakibul HasanBiomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada.
Amanjyot Singh SainbhiBiomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada.
Nuray VakitbilirBiomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada.
Tobias BergmannBiomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada.
Abrar IslamBiomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada.
Noah SilvaggioDepartment of Human Anatomy and Cell Science, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
Mansoor HayatSection of Neurosurgery, Department of Surgery, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.
Frederick A ZeilerBiomedical Engineering, Price Faculty of Engineering, University of Manitoba, Winnipeg, MB, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past several decades, significant progress has been made in our ability to achieve guideline-based cerebral physiologic targets for the management of moderate-to-severe traumatic brain injury (TBI). However, despite these advancements, there has been limited improvement in the long-term outcomes associated with this condition. It has been suggested that this is in part due to the generalized approach of current Brain Trauma Foundation guidelines. It has been demonstrated that significant heterogeneity in cerebral physiologic response to TBI exists between patients, and that it involves highly dynamic physiologic mechanisms which vary across a patient's time in the ICU. Therefore, an individualized management approach, that accounts for individual phenotype, injury heterogeneity, and the dynamic nature of cerebral physiology, is urgently needed. Recently, multiple personalized physiologic metrics, based on cerebrovascular reactivity optimization, have been proposed as potential tools to help address this increasingly important issue. These include the cerebral perfusion pressure optimum (CPPopt), mean arterial pressure optimum (MAPopt), bispectral index optimum (BISopt), and individualized intracranial pressure (iICP) thresholds. These metrics aim to shift neurocritical care management from static, population-based targets to dynamic, personalized targets that are tailored to a patient's real-time cerebral physiologic needs. In this narrative review, we will cover the topic of continuously derived cerebrovascular reactivity-based personalized physiologic metrics in neurocritical care, including the current states of the various existing techniques, their limitations, and future directions.

Indexed as

bispectral index optimumcerebral perfusion pressure optimumcerebrovascular reactivityindividualized intracranial pressure thresholdsmean arterial pressure optimumpersonalized medicine

Identifiers

PMID40395643
PMCPMC12089066

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.