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Record W4408198247 · doi:10.1097/mcc.0000000000001246

The dynamic pathophysiology of post cardiac arrest brain injury: “time is brain”

2025· review· en· W4408198247 on OpenAlexaff
C. Allen, Jordan D. Bird, Mypinder S. Sekhon

Bibliographic record

VenueCurrent Opinion in Critical Care · 2025
Typereview
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsInternational Collaboration On Repair DiscoveriesUniversity of British ColumbiaVancouver General Hospital
Fundersnot available
KeywordsMedicinePathophysiologyTraumatic brain injuryNeuroscienceIntensive care medicineCardiologyInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: To review the time dependent nature of post-cardiac arrest brain injury (PCABI) while contextualizing clinical trial evidence. RECENT FINDINGS: PCABI represents a dynamic entity with respect to its pathophysiology. Intuitively, PCABI pathophysiology has been characterized focusing on mechanisms associated with cerebral ischemia. Interventions that augment cerebral oxygen delivery, such as increasing mean arterial pressure, have garnered interest. Regrettably, these trials have not demonstrated improved outcomes. At the core of this conundrum is the time dependent nature of PCABI pathophysiology with trials employing interventions approximately 4-6 h after return of spontaneous circulation (ROSC). This therapeutic window is likely far past the efficacy period of resumption of oxygen delivery to the ischemic brain. Thus, we suggest compartmentalizing PCABI into four phases: circulatory arrest; intra-arrest physiology; immediate reperfusion; and delayed reperfusion. Culprit mechanisms are discussed for each phase with contextualization of recent trial results. SUMMARY: PCABI has dynamic pathophysiology and restoration of cerebral oxygen delivery in a delayed manner from ROSC has diminished efficacy. PCABI pathophysiology must be viewed in a time dependent manner and interventions aimed at restoring cerebral oxygen delivery are likely only to be efficacious if applied immediately after ROSC.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.928
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.050
GPT teacher head0.450
Teacher spread0.400 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2025
Admission routes1
Has abstractyes

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