MétaCan
Menu
Back to cohort

Cardiac Restitution, Ion Channels, and Racehorses: A Naturally Occurring Model of Sudden Cardiac Death in Athletes

2025· article· en· W4411880321 on OpenAlexaffabout
Amanda Avison, Beverley G. Goderre, W. Glen Pyle, Peter W. Physick‐Sheard

Bibliographic record

VenuePhysiology · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Effects of Exercise
Canadian institutionsDalhousie UniversityUniversity of Guelph
Fundersnot available
KeywordsRestitutionAthletesSudden cardiac deathIon channelCardiologyInternal medicineMedicinePhysical therapyLawPolitical scienceReceptor

Abstract

fetched live from OpenAlex

Sudden cardiac death is the second most common cause of athletic mortality in both elite human and equine athletes. Racehorses perform at extremely high exercise intensities with maximal heart rates and aerobic capacities exceeding those of human athletes. A predisposition to life-threatening arrhythmias unmasked by athletic activity, is suspected to underlie sudden cardiac death in both species and predicting risk is critical for the health and safety of athletes. Cardiac restitution ratio (CRR) is used as a measure of arrhythmia risk at rest in humans and represents the ability of cardiomyocytes to recover between successive action potentials. CRR can be calculated as QT/TQ on an electrocardiogram (ECG) and has never been investigated during high intensity exercise. The objectives are to characterize changes in the QT interval and CRR in normal racehorses to establish a risk threshold and to identify unique ion channels in the equine myocardium that may be involved in accommodation of the cardiac action potential to changes in heart rate. It is hypothesized that CRR will be highest during exercise periods when sudden cardiac death most frequently occurs, and that the horse will exhibit differences in myocardial ion channel expression. Over 3800 cardiac cycles obtained from ECGs of 42 racehorses were analysed using custom software to calculate RR interval, QT interval, and CRR. Instantaneous heart rate ranged from 26 beats per minute at rest to 293 during racing. Interquartile ranges (median) of QT interval and CRR during maximal effort were 176-198 ms (186 ms) and 2.1-3.3 (2.5), respectively. CRR was highest during race exercise; the first 30 seconds of cardiac deceleration following the race; and sporadically during non-race exercise, corresponding to periods when sudden death most frequently occurs. Preliminary multivariable regression analyses revealed numerous significant associations for both QT interval and CRR, including with exercise period, RR interval, racing gait, sex, and age. Apparently healthy horses during exercise routinely displayed CRRs exceeding the described arrhythmogenic threshold of 1, established in humans. Left ventricular free wall myocardium was obtained from horses of typical racing breeds. A combined proteomic approach using mass spectrometry and immunoblotting revealed presence of several ion channels not known or not known to be significant to the ventricular action potential in humans, including Kv1.5 and Kir6.2, and different primary isoforms of sodium and calcium channels. These findings identify unique aspects of myocardial electrophysiology in horses with potential implications for sudden cardiac death in human athletes. Funding graciously provided by Equine Guelph. This abstract was presented at the American Physiology Summit 2025 and is only available in HTML format. There is no downloadable file or PDF version. The Physiology editorial board was not involved in the peer review process.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.273
Teacher spread0.261 · 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 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

Citations0
Published2025
Admission routes2
Has abstractyes

Explore more

Same venuePhysiologySame topicCardiovascular Effects of ExerciseFrench-language works237,207