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Patients with HFpEF who exhibit impaired sympathetic vasoconstrictor responsiveness have a blunted exercise hyperemia

2025· article· en· W4411549613 on OpenAlexaff
Claire E. Kissell, Rachel J. Skow, Denis J. Wakeham, Giorgio Manferdelli, Satyam Sarma, Paul J. Fadel, Christopher M. Hearon

Bibliographic record

VenuePhysiology · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Function and Risk Factors
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineInternal medicineCardiology

Abstract

fetched live from OpenAlex

Background: Previous studies have shown a reduced blood flow response to exercise in patients with heart failure with preserved ejection fraction (HFpEF). This research has primarily focused on an impairment in the capacity to vasodilate during exercise. However, the ability to vasoconstrict is also vital for blood flow redistribution during exercise. This is important because patients with HFpEF have been shown to exhibit reduced alpha-adrenergic responsiveness. Notably, there is considerable heterogeneity in the level to which peripheral vasodilation and vasoconstriction are blunted among patients with HFpEF. Herein, we tested the hypothesis that those patients with HFpEF who are unable to vasoconstrict to sympatho-excitation (i.e., a cold pressor test, CPT) would have a reduced leg blood flow response to single leg knee extensor (SLKE) exercise than those patients with HFpEF who are able to vasoconstrict. Methods: Forty-three patients diagnosed with HFpEF (29 females; Age: 70 ± 7 years; body mass index: 39 ± 7 kg/m 2 ) were instrumented to measure heart rate (ECG), beat-to-beat blood pressure (BP; finger photoplethysmography), common femoral artery blood flow (duplex Doppler ultrasound), and brachial BP (sphygmomanometry). Participants sat upright on a SLKE ergometer while data were recorded during 3 minutes of quiet rest, followed by a 2-minute CPT. Next, after a 15-minute break, 3 minutes of SLKE exercise was performed at 46 ± 13% of peak SLKE watts (i.e., 7 ± 1 watts). Leg blood flow was calculated (LBF = common femoral artery radius 2 X mean blood velocity X 60) and used to determine leg vascular conductance (LVC; LBF/mean arterial BP). Patients with HFpEF were divided into those who didn’t have a decrease in LVC (non-constrictors: +26 ± 24 %ΔLVC; n = 22) and those who did have a decrease in LVC (constrictors: -15 ± 14 %ΔLVC; n = 21; P < 0.001) in response to the CPT. Results: Resting heart rate, resting BP, peak SLKE watts and lean thigh mass (DEXA) were not different between groups (all P > 0.48). The change in heart rate and BP during the CPT and SLKE exercise was also not different between groups (all P > 0.20). Non-constrictors had lower resting LBF (non-constrictors: 276 ± 128 ml/min; constrictors: 421 ± 200 ml/min; P = 0.006) and LVC (non-constrictors: 3.1 ± 1.5 ml/min/mmHg; constrictors: 4.7 ± 2.3 ml/min/mmHg; P = 0.008) compared to constrictors. In response to the SLKE exercise non-constrictors had a smaller increase in LBF (non-constrictors: Δ 1139 ± 425 ml/min; constrictors: Δ 1497 ± 454 ml/min; P = 0.011) and LVC (non-constrictors: Δ 9.8 ± 3.4 ml/min/mmHg; constrictors: Δ 13.3 ± 4.5 ml/min/mmHg; P = 0.007) compared to constrictors. Conclusion: In summary, patients with HFpEF who are not able to mount a vasoconstrictor response to a CPT present with a reduced blood flow response to exercise. This work was supported by the National Institutes of Health (1P01HL137630). 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.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.059
Threshold uncertainty score0.642

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.006
GPT teacher head0.228
Teacher spread0.222 · 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 teacher head, 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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