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Retinal arteriolar vascular reactivity to incremental changes in hyperoxic stimuli during isocapnia

2008· article· en· W2068923689 on OpenAlexaff
Chris Hudson, Amy H.Y. Tong, Jay Han, Alexandra Mardimae, Tien Yin Wong, Joseph A. Fisher

Bibliographic record

VenueActa Ophthalmologica · 2008
Typearticle
Languageen
FieldMedicine
TopicRetinal Diseases and Treatments
Canadian institutionsUniversity of TorontoUniversity of Waterloo
Fundersnot available
KeywordsHyperoxiaRetinalBlood flowHemodynamicsVasoconstrictionMicrocirculationMedicineOxygenationCardiologyAnesthesiaInternal medicineOphthalmologyLung

Abstract

fetched live from OpenAlex

Abstract Purpose To determine the relationship between the magnitude of retinal arteriolar vascular reactivity and incremental changes in hyperoxic stimuli whilst maintaining isocapnia. Methods Twelve healthy, young adults (mean age 27 years, SD 4) participated in a gas protocol consisting of 4 phases at varying fractional expired oxygen levels (FeO2): baseline (15%), hyperoxia I (40%), hyperoxia II (65%), and recovery (15%). End‐tidal carbon dioxide (ETCO2) was maintained at isocapnia throughout the experiment. Retinal arteriolar diameter, blood velocity, and blood flow were assessed non‐invasively using the Canon Laser Blood Flowmeter during each of these phases. Results Repeated measures ANOVA showed that there were significant influences of incremental changes in FeO2 on retinal arteriolar diameter (p<0.0001), blood velocity (p<0.0001), and blood flow (p<0.0001). Paired t‐tests of these retinal hemodynamic parameters during each phase in the gas sequence showed they were significantly different (p<0.05) from each other, with the exception of baseline and recovery values. Incremental increases in FeO2 caused a linear decrease in group mean arteriolar diameter (R2 = 1, p = 0.002), group mean blood velocity (R2 = 0.9968, p = 0.04), and group mean blood flow (R2 = 0.9982, p= 0.03). Conclusion Isocapnic hyperoxia elicits vasoconstriction and the reduction of retinal arteriolar diameter, velocity and blood flow in a dose‐dependent manner over the range of FeO2 explored in this study. Commercial interest

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 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 score0.165
Threshold uncertainty score0.778

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.044
GPT teacher head0.297
Teacher spread0.253 · 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
Published2008
Admission routes1
Has abstractyes

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