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Record W4388596842 · doi:10.1016/j.rpth.2023.101030

PB1214 Characterization of Dynamic Changes to Fibrinolysis in Porcine Model of Cardiac Arrest

2023· article· en· W4388596842 on OpenAlexaff
H. Noorzada, R. Mohindra, D. Bince, Valérie Sabourin, C. Yeh, Steve Lin

Bibliographic record

VenueResearch and Practice in Thrombosis and Haemostasis · 2023
Typearticle
Languageen
FieldMedicine
TopicHyperglycemia and glycemic control in critically ill and hospitalized patients
Canadian institutionsThrombosis and Atherosclerosis Research InstituteSt. Michael's HospitalUniversity of TorontoMcMaster University
Fundersnot available
KeywordsFibrinolysisCardiologyInternal medicineMedicine

Abstract

fetched live from OpenAlex

Background: Many survivors of an initial cardiac arrest develop disability and death, stemming from post-cardiac arrest syndrome (PCAS).Multiple organ failure, bleeding, and thromboembolic complications are common in PCAS, and these processes may be secondary to acquired coagulopathy due to shock and reperfusion injury during cardiac arrest.Shock dysregulates both coagulation and fibrinolysis, but neither process is directly treated in typical resuscitation strategies.Understanding the underlying mechanism and the timeline of the development of coagulopathy in PCAS may allow for new targets for early intervention.Aims: To characterize the temporal changes to fibrinolytic state using an established pig model of cardiac arrest.Methods: Six Yorkshire pigs were anaesthetised and intubated, had ventricular fibrillation (VF)-arrest induced by transvenous pacing, and were resuscitated per standard Advanced Cardiac Life Support (ACLS).Whole blood samples were collected into citrate at four times: baseline (Pre), intraarrest (VF 1-min), post-arrest (VF 8-min), and death (PM).Isolated plasma was then subjected to a turbidimetric plasma clot lysis assay, whereby clots were generated using human thrombin (5 nM) and lysis was initiated using porcine tissue-type plasminogen activator (tPA; 10 nM).In addition, baseline OD readings and total change in turbidity signal were quantified as a surrogate for clot structure.Results: Clot lysis profiles showed transient fibrinolysis resistance at VF 1min that was subsequently normalized by VF 8-min on three of the animals.Clot structure signal (i.e. total OD change) was significantly elevated ( p < 0.005) by 1.8-fold relative to Pre at VF 1-min for 5 of the 6 animals.Total OD were higher at VF 8-min and PM both by 1.3-fold relative to Pre, however were not statistically significant.One animal showed complete resistance to fibrinolysis at all time points.Conclusion(s): Fibrinolysis can effectively be studied in large animal models.Fibrinolysis is transiently down-regulated during cardiac arrest and the clot structure remains altered.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

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

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 head0.137
GPT teacher head0.436
Teacher spread0.299 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations0
Published2023
Admission routes1
Has abstractyes

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