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A New Protocol for Controlling and Targeting Reactive Hyperemia Shear Stress to Assess Endothelial Function

2021· article· en· W3170548096 on OpenAlexaff
Olivera Kralj, Lindsay A. Lew, Tarrah Ethier, Kyra E. Pyke

Bibliographic record

VenueThe FASEB Journal · 2021
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Health and Disease Prevention
Canadian institutionsQueen's University
Fundersnot available
KeywordsMedicineReactive hyperemiaForearmBrachial arteryCardiologyCuffShear stressInternal medicineOcclusionVasodilationAnesthesiaSurgeryBlood pressureMechanics

Abstract

fetched live from OpenAlex

Conduit artery endothelial function is most commonly assessed via measurement of flow mediated dilation (FMD) evoked by a transient post‐limb occlusion increase in shear stress [reactive hyperemia (RH)]. A limitation of RH‐FMD is the uncontrolled nature of the RH shear stress stimulus which produces RH‐FMD response variability that is independent of conduit artery endothelial function. The purpose of this study was to develop a protocol to create a uniform, targeted, and transient (40 second) shear stress stimulus and compare it to the standard RH‐FMD approach. We hypothesize that incorporating arterial compression in the controlled targeted RH (CTRH) protocol will allow us to achieve a uniform target shear rate (estimate of shear stress) within and between participants. Young, healthy men and women (females n = 4, age = 22 ± 1 years; males n = 2, age = 25 ± 3 years) underwent one trial of RH‐FMD and two trials of CTRH‐FMD with duplex ultrasound assessment. The CTRH protocol incorporated three‐minutes of ischemic handgrip exercise at 30% of participants’ maximum voluntary contraction during a five‐minute occlusion to create a large forearm vasodilation and hyperemic reserve. Upon cuff release, the ensuing hyperemia was controlled with manual brachial artery compression at the antecubital fossa. A live velocity readout permitted compression adjustments to achieve the velocity required to maintain a target shear rate of 120 s‐1. The cuff was re‐inflated after 40s of cuff release. The RH‐FMD trial followed the standard five‐minute forearm occlusion protocol. The 40s average shear rate was 116.0 ± 8.8s‐1 in the CTRH test and 102.1 ± 15.4 s‐1 in the RH test. The CTRH test shear rate was significantly closer to the 120s‐1 target; calculated as the absolute distance from target in 3s time bins over the 40s period: CTRH = 19.0 ± 3.9s‐1; RH = 36.5 ± 6.7 s‐1 p = 0.002. The between participant coefficient of variation (CV) for the RH 40s average shear rate was lower in the CTRH test (CTRH CV = 8.1%; RH CV = 15.1%). The within subject trial to trial CV for the CTRH 40s average shear rate was 3.0 ± 4.6%. FMD responses were similar between tests (CTRH‐FMD% = 8.3 ± 1.6%; RH‐FMD% = 7.6 ± 4.8%, p=0.717). These preliminary findings demonstrate the capacity for RH stimulus control. CTRH‐FMD is minimally impacted by stimulus variability and may provide a clearer reflection of brachial artery endothelial function.

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)0.005
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0100.002

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 head0.039
GPT teacher head0.334
Teacher spread0.295 · 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 designBench or experimental
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 routes1
Has abstractyes

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