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Elevated Cardiorespiratory Fitness is Associated with Blunted Cerebral Pressure‐Flow Relationships

2017· article· en· W4389017601 on OpenAlexaffabout
Patrice Brassard, Myriam Paquette, Olivier Blanc, Simon Malenfant, Kevan Rahimaly, Samuel J. E. Lucas, Damian M. Bailey

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Syncope and Autonomic Disorders
Canadian institutionsUniversity of British Columbia, Okanagan CampusKelowna General HospitalUniversity of British ColumbiaUniversité LavalInstitut universitaire de cardiologie et de pneumologie de Québec
Fundersnot available
KeywordsPresyncopeCardiorespiratory fitnessMedicineCerebral blood flowTranscranial DopplerCerebral perfusion pressureBlood pressureCerebral autoregulationOrthostatic vital signsMean arterial pressureAnesthesiaCardiologyInternal medicineHeart rateAutoregulation

Abstract

fetched live from OpenAlex

There appears to be a “hemodynamic paradox” associated with elevated cardiorespiratory fitness; in that it has a differential impact on cerebral blood flow and orthostatic tolerance. A reduction in orthostatic tolerance with high cardiorespiratory fitness may be related to a blunted cerebral pressure‐flow relationship during rapid changes in blood pressure, and not only a consequence of inadequate cerebral perfusion. However, research on how cardiorespiratory fitness influences cerebral pressure‐flow relationships during rapid changes in blood pressure, and the consequences for orthostatic tolerance remain equivocal. Mean arterial pressure (MAP; finger photoplethysmography) and middle cerebral artery flow velocity (MCAv; transcranial Doppler ultrasound) were continuously monitored in 19 male endurance athletes (V̇O 2 max: 56±5 mL·kg −1 ·min −1 ) and 8 inactive/moderately active control participants (39±5 mL·kg −1 ·min −1 , P<0.01). Orthostatic tolerance was assessed by the prevalence of presyncope during a 20‐min 70° head‐up tilt. Cerebral pressure‐flow relationships were assessed by: [1] the time delay before onset of regulation (increase in the cerebrovascular conductance index (MCAv mean /MAP)) and [2] rate of regulation, after transient hypotension induced by bilateral thigh‐cuff release and sit‐to‐stand, and transfer function analysis (TFA) of blood pressure and MCAv responses during [3] spontaneous and [4] forced oscillations induced via 5‐min of repeated squat‐stand maneuvers at both 0.05 and 0.10 Hz. Prevalence of presyncope was not different between groups (p=0.41). The time delay before onset of regulation tended to be longer in athletes compared to controls after thigh‐cuff deflation (p=0.11) and prolonged after sit‐to‐stand (3.2 ± 1.6 vs. 1.4 ± 1.1 s; p=0.01), and the latter correlated with V̇O 2max (r=0.46, p=0.03). Rate of regulation was similar between groups irrespective of the technique employed. Athletes had lower TFA phase in the low frequency (p<0.01) range and higher TFA gain during 0.1 Hz squat‐stand compared to controls (p=0.01). Metrics describing cerebral pressure‐flow relationships did not correlate with orthostatic tolerance. These results indicate an attenuated ability of the cerebral vasculature to react to slow rhythmical oscillations as well as rapid and large changes in blood pressure in fit individuals. However, these functional cerebrovascular adaptations do not influence orthostatic tolerance. Support or Funding Information The present study was funded by the Ministère de l'Education, du Loisir et du Sport du Québec, and the Foundation of the Institut universitaire de cardiologie et de pneumologie de Québec

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)0.002
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 score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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 head0.028
GPT teacher head0.248
Teacher spread0.220 · 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".

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Citations0
Published2017
Admission routes2
Has abstractyes

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