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Record W3186258430 · doi:10.1161/circresaha.121.319157

Brain Hypoxia Is Associated With Neuroglial Injury in Humans Post–Cardiac Arrest

2021· article· en· W3186258430 on OpenAlexafffund
Ryan L. Hoiland, Philip N. Ainslie, Cheryl L. Wellington, Jennifer Cooper, Sophie Stukas, Sonny Thiara, Denise Foster, Nicholas A. Fergusson, Edward M. Conway, David Menon, Peter Gooderham, Veronica Hirsch‐Reinshagen, Donald Griesdale, Mypinder S. Sekhon

Bibliographic record

VenueCirculation Research · 2021
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsVancouver General HospitalHealth Sciences CentreUniversity of British ColumbiaInternational Collaboration On Repair DiscoveriesVancouver Coastal Health
FundersCanadian Institutes of Health ResearchGovernment of Canada
KeywordsHypoxia (environmental)MedicineNeuroscienceCardiologyInternal medicineBiologyChemistryOxygen

Abstract

fetched live from OpenAlex

Rationale: Secondary brain hypoxia portends significant mortality in ischemic brain diseases; yet, our understanding of hypoxic ischemic brain injury (HIBI) pathophysiology in humans remains rudimentary. Objective: To quantify the impact of secondary brain hypoxia on injury to the neurovascular unit in patients with HIBI. Methods and Results: We conducted a prospective interventional study of invasive neuromonitoring in 18 post–cardiac arrest patients with HIBI. The partial pressures of brain tissue O 2 (PbtO 2 ) and intracranial pressure were directly measured via intraparenchymal microcatheters. To isolate the cerebrovascular bed, we conducted paired sampling of arterial and jugular venous bulb blood and calculated the transcerebral release of biomarkers of neurovascular injury and inflammation in the patients with HIBI and 14 healthy volunteers for control comparisons. Ten patients with HIBI exhibited secondary brain hypoxia (PbtO 2 <20 mmHg), while 8 exhibited brain normoxia (PbtO 2 ≥20 mmHg). In the patients with secondary brain hypoxia, we observed active cerebral release of glial fibrillary acidic protein (−161 [−3695 to −75] pg/mL; P =0.0078), neurofilament light chain (−231 [−370 to −11] pg/mL; P =0.010), total tau (−32 [−310 to −3] pg/mL; P =0.0039), neuron-specific enolase (−14 890 [−148 813 to −3311] pg/mL; P =0.0039), and ubiquitin carboxy-terminal hydrolase L1 (−14.7 [−37.7 to −4.1] pg/mL; P =0.0059) indicating de novo neuroglial injury. This injury was unrelated to the systemic global ischemic burden or cerebral endothelial injury but rather was associated with cerebral release of IL-6 (interleukin-6; −10.3 [−43.0 to −4.2] pg/mL; P =0.0039). No cerebral release of the aforementioned biomarkers was observed in patients with HIBI with brain normoxia or the healthy volunteers. Hyperosmolar therapy in the patients with secondary brain hypoxia reduced the partial pressure of jugular venous O 2 -to-PbtO 2 gradient (39.6 [34.1–51.1] versus 32.0 [24.5–39.2] mm Hg; P =0.0078) and increased PbtO 2 (17.0 [9.1–19.7] versus 20.2 [11.9–22.7] mm Hg; P =0.039) suggesting improved cerebrovascular-to-parenchymal O 2 transport. Conclusions: Secondary brain hypoxia is associated with de novo neuroglial injury and cerebral release of IL-6. Mitigating cerebrovascular-to-parenchymal limitations to O 2 transport is a promising therapeutic strategy for patients with HIBI with secondary brain hypoxia. Registration: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT03609333.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.105
Threshold uncertainty score0.422

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.041
GPT teacher head0.359
Teacher spread0.318 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations89
Published2021
Admission routes2
Has abstractyes

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