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Record W4417535291 · doi:10.14814/phy2.70692

Characterizing the repeatability of cardiovascular responses to hypoxic apneas in adults

2025· article· en· W4417535291 on OpenAlexafffund

Bibliographic record

VenuePhysiological Reports · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and Diving-Related Complications
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaGovernment of Canada
KeywordsRepeatabilityBlood pressureHeart rateBradycardiaElectrocardiographyHypoxia (environmental)

Abstract

fetched live from OpenAlex

Abstract Apneas performed during hypoxia cause pronounced bradycardia and cardiac arrhythmias. What remains unclear is the intraindividual consistency of these responses. Therefore, we assessed the within‐day and between‐day repeatability of responses to hypoxic apneas, including the genesis of arrhythmias or electrocardiogram (ECG) changes. Sixteen participants (8F/8M, 25 ± 3 years, BMI 23.7 ± 3.4 kg/m 2 , mean ± SD) completed four hypoxic apneas per day on consecutive days, time‐matched to a maximal apnea on day 1 (39 ± 16 s). We quantified heart rate (HR) and mean arterial pressure (MAP) repeatability using within‐subject standard deviations (WSSD), [95%CI]. We hypothesized that WSSDs would be <5 bpm and <4 mmHg for HR and MAP. We also assessed the repeatability of arrhythmias or ECG changes. Within‐day, the HR WSSD was 4.4 bpm [3.7, 5.6], and the MAP WSSD was 4.1 mmHg [3.4, 5.1]. Between‐day comparisons had somewhat higher WSSDs: HR was 5.7 bpm [5.0, 6.5] and MAP was 5.0 mmHg [4.4, 5.8]. Arrhythmias or ECG changes occurred during 45% of apneas. These data indicate poor repeatability of electrical conduction changes during apneas. Conversely, our WSSD data indicate good within‐day and between‐day repeatability, albeit somewhat higher than hypothesized. These data therefore indicate that hypoxic apneas are a repeatable laboratory stressor for HR and MAP, but that researchers should exercise caution in interpreting individual‐level arrhythmia data.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.562
Threshold uncertainty score0.365

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
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 head0.024
GPT teacher head0.287
Teacher spread0.263 · 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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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