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Cerebrovascular Responses During Voluntary Breath Holding are Larger than Rebreathing

2021· article· en· W3171725909 on OpenAlexafffund
Anthony L. Marullo, Christina D. Bruce, Jamie R. Pfoh, Uday V. Chauhan, Maria Abrosimova, Emily Vanden Berg, Rachel J. Skow, Margie H. Davenport, Nicholas Strzalkaowski, Craig D. Steinback, Trevor A. Day

Bibliographic record

VenueThe FASEB Journal · 2021
Typearticle
Languageen
FieldMedicine
TopicObstructive Sleep Apnea Research
Canadian institutionsUniversity of AlbertaUniversity of British Columbia, Okanagan CampusKelowna General HospitalUniversity of British ColumbiaMount Royal University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBlood pressureAnesthesiaTranscranial DopplerCerebral blood flowCardiologyMedicineArterial bloodMiddle cerebral arteryInternal medicineIschemia

Abstract

fetched live from OpenAlex

Both voluntary breath‐holding and rebreathing of expired air elicit changes in respiratory gas chemostimuli (CO 2 and O 2 ) at the metabolic rate. These chemostimuli elicit increases in cerebral blood flow (CBF), proportional to the magnitude of concomitant increases in CO 2 and reductions in O 2 . These chemostimuli also activate the sympathetic nervous system, which increases systemic blood pressure. Although blood pressure responses appear small during rebreathing, evidence from obstructive sleep apnea (OSA) patients suggests higher mean blood pressure during sleep in those with worse OSA. We aimed to assess how superimposed changes in blood gases and increases in blood pressure affect the CBF responses during breath holding vs. rebreathing. We recruited 23 healthy participants (12 females) and instrumented them with a finometer (for beat‐by‐beat mean arterial blood pressure; MAP), transcranial Doppler ultrasound (middle and posterior cerebral artery velocity; MCAv, PCAv) and a pneumotachometer with gas sampling via a dual gas analyzer to assess the pressure of end‐tidal (P ET )CO 2 and O 2 . Participants carried out two protocols in randomized order: (a) a maximal, voluntary end‐inspiratory breath hold (BH) and (b) a rebreathing (RB) test. A breath‐by‐breath stimulus index (SI) was calculated as P ET CO 2 /P ET O 2 during rebreathing, whereas the end‐tidal gas values used to calculate SI were interpolated during breath holding from initial and break point values. During both BH and RB, cerebrovascular reactivity (CVR) was calculated as the MCAv or PCAv/SI. MAP reactivity (MAPR) was calculated as the slope of the MAP/SI response. Cerebrovascular conductance (CVC; MCA or PCA/MAP) reactivity (CVCR) was calculated as the slope of the MCA CVC or PCA CVC /SI responses. We found that (a) CVR was larger during BH vs. RB (MCA: 167.5±102.0 vs. 38.8±20.5 cm/s/SI, P<0.0001, n=23; PCA: 76.3±40.1 vs. 26.0±11.0 cm/s/SI, P<0.0001, n=19), (b) MAPR during BH was significantly higher than during RB (134.0±102.7 vs. 31.0±12.6 mmHg/SI, P=0.0001, n=23). and (c) CVCR during BH vs. RB (MCA: 0.75±0.69 vs. 0.16±0.15 cm/s/mmHg/SI, P<0.001, n=22; PCA: 0.26±0.29 vs. 0.12±0.09 cm/s/SI, cm/s/mmHg/SI, P=0.03, n=19). Our data demonstrate that breath holding elicited ~4‐fold increases in MAP, translating to a larger anterior and posterior CVR compared to rebreathing. These findings suggest that the sympathetic responses during voluntary breath holding were larger than those during rebreathing across similar chemostimuli, potentially due to the differential sympathetic effects of struggling against a closed glottis during breath holding. This is the first evidence that voluntary apnea has larger effects on brain blood flow beyond that elicited by blood gas stimuli alone. Our data may have implications for understanding stroke risk in clinical populations with obstructive sleep apnea, whereby patients experience intermittent breath holds throughout the night, with associated spikes in arterial blood pressure.

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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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

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)0.0030.000

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 head0.023
GPT teacher head0.283
Teacher spread0.260 · 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
Published2021
Admission routes2
Has abstractyes

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