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When Hearts Race and Pressures Rise: Altered Exercise Pressor Reflex with Cardiac Abnormalities and Aging

2025· article· en· W4411543128 on OpenAlexaffabout
M. Rafique Khan, Natasha G. Boyes, Adam M.S. Luchkanych, Thomas J. Jurrissen, Cameron J. Morse, Rory A. Marshall, Idris Bare, Tony Haddad, Sherif Abdalla, Alexander Zhai, Haissam Haddad, Darcy D. Marciniuk, Sarah Al-Mouaiad Al-Azem, Marta Erlandson, Kristi D. Wright, Charissa Pockett, T. Dylan Olver, Corey R. Tomczak

Bibliographic record

VenuePhysiology · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsUniversity of ReginaOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British ColumbiaUniversity of Saskatchewan
Fundersnot available
KeywordsReflexMedicineCardiologyInternal medicinePressor responseBlood pressureHeart rateAnesthesia

Abstract

fetched live from OpenAlex

The exercise pressor reflex describes the autonomic response that stimulates the cardiovascular system to maintain perfusion of blood flow to working skeletal muscle. However, the exercise pressor reflex is exaggerated in patients with heart failure with reduced ejection fraction (HFrEF) whereas it is blunted in congenital heart disease (CHD). While HFrEF and CHD are clinically diverse, there may be phenotypic overlap that could provide a shared thread for observed pressor responses in these patient groups. Furthermore, the existing evidence on the effect of aging between healthy young (HY) and old (HO) appears to be conflicting.We hypothesized that the pressor response would be blunted with aging and the presence of cardiac conditions. A retrospective analysis of the immediate heart rate (electrocardiography) and mean arterial pressure (finger photoplethysmography) change from rest to during a short (3-5 sec) single bout of maximum voluntary isometric handgrip contraction was performed in HFrEF, CHD, HY, and HO (HFrEF; n =20 (6 F), 61±9 yrs; CHD, n =47 (21 F), 13±3 yrs; HY, n =40 (20 F), 13±3 yrs; HO, n =22 (10 F), 61±6 yrs). Data was analyzed by 2 x 2 ANOVA (health status; healthy and cardiac condition x age; young and old).Data were extracted as the average of three cardiac cycles at rest and a single cardiac cycle at peak systolic blood pressure during MVC. The data revealed heart rate increase from rest to MVC declined with age (8.6±8.1 Δ%, p =0.0004) and health status (8.0±4.8 Δ%, p =0.0023). Multiple comparisons revealed the increase in heart rate from rest to MVC was less in CHD (9.8±5.9 Δ%, p =0.0049), HO (11.2±9.4 Δ%, p =0.0117), and HFrEF (16.9±12.4 Δ%, p <0.0001) than HY. Furthermore, mean arterial pressure increase from rest to MVC declined with age ( p <0.0001), but not health status ( p =0.1086). Lastly, independent sample t-tests revealed MVC was greater in HO than HY (28±13 vs. 15±8 kg, p <0.0001), but not between HO and HFrEF (28±13 vs. 24±10 kg, p =0.2148) nor HY and CHD (15±8 vs. 14±9 kg, p =0.8337). During small skeletal muscle mass contraction at maximal intensity, the pressor response is impaired with aging and the presence of cardiac conditions. Together, these altered cardiovascular responses to exercise may be implicated in the reduced exercise capacity and tolerance known in these respective groups. Saskatchewan Centre for Patient Oriented Research, Heart and Stroke Foundation of Canada 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)0.001
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 score0.001
Threshold uncertainty score0.003

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)0.0010.000

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 head0.008
GPT teacher head0.263
Teacher spread0.255 · 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

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