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Record W4395061414 · doi:10.1161/circ.126.suppl_21.a7

Abstract 7: Enhancing Glucose Oxidation Following Ventricular Fibrillation Resuscitation Mitigates Cardiac Systolic Dysfunction

2012· article· en· W4395061414 on OpenAlexaff
Mohammed Ali Azam, Cory S. Wagg, Stéphane Massé, Talha Farid, Patrick F.H. Lai, M. Kusha, John Asta, Gary D. Lopaschuk, Kumaraswamy Nanthakumar

Bibliographic record

VenueCirculation · 2012
Typearticle
Languageen
FieldMedicine
TopicCardiac Imaging and Diagnostics
Canadian institutionsCanadian VIGOUR CentreUniversity Health Network
Fundersnot available
KeywordsMedicineVentricular fibrillationCardiologyResuscitationInternal medicineCardiac resuscitationCardiac dysfunctionAnesthesiaHeart failure

Abstract

fetched live from OpenAlex

Background: Ventricular fibrillation (VF) is an important cause of cardiac arrest. After initial successful resuscitation, decreased cardiac contractility during reperfusion is a common problem that is poorly understood. In normal hearts the major energy source for cardiac contractility is oxidation of fatty acids (FA), while only a lesser amount of energy originates from glucose oxidation. Previous investigations showed that during and after ischemia, cardiac contractile dysfunction depends on the type of energy substrate metabolized, with increased FA oxidation and decreased glucose oxidation not being beneficial. Increasing glucose oxidation and decreasing FA oxidation has not been evaluated as a strategy to improve contractile dysfunction following VF resuscitation. One such approach could be the use of dichloroacetate (DCA), a metabolic modulator that increases glucose oxidation and decreases FA oxidation. Methods and Results: Rat hearts (n=40) were Langendorff-perfused in Tyrode’s buffer and allowed to equilibrate for 15min followed by 15min of global ischemia and 5min of reperfusion. During reperfusion a short duration burst pacing stimulation was used to induce VF. Hearts were divided into two groups; untreated control (n=20) and DCA-treated during reperfusion (1mM; n=20). One minute later VF was terminated. Left ventricular (LV) pressure, heart rate and coronary flow were monitored during the post VF period. The incidence of VF was 60% in untreated controls, and 66% in DCA-treated hearts. LV developed pressure (LVDP) was reduced after VF and post-resuscitation period compared to the baseline period (90.7±3.5mmHg vs 52.3±6.8mmHg, respectively, n=8, p<0.01). DCA improved post-resuscitation LVDP (74.3±6.5mmHg, n=8, p<0.05 vs untreated controls). Post-resuscitation lactate production was reduced in DCA-treated hearts compared to untreated controls (1.0±0.3µM/g/min vs 1.9±0.2µM/g/min, n= 8, p<0.05). Conclusions: Cardiac contractility is impaired following resuscitation after VF. Enhancement of glucose oxidation with DCA mitigates post VF cardiac dysfunction and may have a therapeutic role under these conditions.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.013
GPT teacher head0.261
Teacher spread0.248 · 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 designBench or experimental
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
Published2012
Admission routes1
Has abstractyes

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