MétaCan
Menu
Back to cohort

Effect of coronary artery disease on myocardial blood flow during passive heat stress

2023· article· en· W4378648837 on OpenAlexaffabout
Hadiatou Barry, Georgia K. Chaseling, Caroline D’Oliviera‐Sousa, Josep Iglésies, François Harel, Matthieu Pelletier‐Galarneau, Daniel Gagnon

Bibliographic record

VenuePhysiology · 2023
Typearticle
Languageen
FieldMedicine
TopicInfrared Thermography in Medicine
Canadian institutionsUniversité de MontréalMontreal Heart Institute
Fundersnot available
KeywordsMedicineCardiologyCoronary artery diseaseInternal medicineBlood flowRate pressure productCoronary flow reserveBlood pressureCoronary circulationHeart rateCoronary arteriesHemodynamicsStress testing (software)Artery

Abstract

fetched live from OpenAlex

INTRODUCTION. Extreme heat is associated with a greater risk of cardiovascular mortality in older adults. However, the pathophysiology that links extreme heat and cardiovascular mortality remains unknown. One possibility is that myocardial oxygen requirements during heat exposure surpass the capacity for myocardial oxygen delivery, thereby predisposing to myocardial ischemia. This may notably occur in individuals with coronary artery disease (CAD), because it reduces the capacity of the coronary arteries to dilate (i.e., coronary flow reserve). However, it is unknown to what extent myocardial blood flow (MBF) increases during heat exposure and whether this increase is altered by CAD. OBJECTIVE. This study tested the hypothesis that passive heat stress increases myocardial blood flow in older adults and that this increase is attenuated in older adults with CAD. METHODS. Healthy older adults (n=19, 68 ± 7 years) and older adults with CAD (n=12, 72 ± 6 years) were passively heated (water-perfused suit) until rectal temperature increased 1.5°C above baseline values. Myocardial blood flow was measured at baseline and at each 0.5°C increment in rectal temperature during heating by positron emission tomography following intravenous infusion of 82-Rubidium. Heart rate (ECG) and blood pressure (automated auscultation) were also measured to calculate rate pressure product (heart rate × systolic blood pressure). MBF reserve (MFR) was calculated by dividing the MBF at 1.5°C by baseline MBF. Adults with CAD were asked to withhold β-blockers, calcium channel blockers and nitroglycerin for 24h prior to the study. RESULTS. At a 1.5°C increase in core temperature, myocardial blood flow increased from 0.85 ± 0.20 to 1.51 ± 0.40 mL/min/g in healthy older adults and from 0.87 ± 0.19 to 1.37 ± 0.48 mL/min/g in adults with CAD. The change in myocardial blood flow at a 1.5°C increase in rectal temperature did not differ between groups (healthy: 0.66 ± 0.31 mL/g/min, CAD: 0.49 ± 0.42 mL/g/min, p=0.25. Furthermore, healthy adults and adults with CAD displayed a similar MFR at an increase in rectal temperature of 1.5°C (healthy: 1.8 ± 0.4 vs. CAD: 1.6 ± 0.6, p=0.25). CONCLUSION. These results demonstrate that passive heat stress increases myocardial blood flow nearly 1.6 times in older adults, and that this increase is not affected by CAD. These results will help determine if the increase in myocardial blood flow during passive heat exposure is sufficient to predispose to myocardial ischemia in individuals with low coronary flow reserve. Canadian Institutes for Health Research, Montreal Heart Institute Foundation. This is the full abstract presented at the American Physiology Summit 2023 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology 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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.000
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 head0.005
GPT teacher head0.249
Teacher spread0.244 · 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
Published2023
Admission routes2
Has abstractyes

Explore more

Same venuePhysiologySame topicInfrared Thermography in MedicineFrench-language works237,207