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Reproducibility of Arterialized-Venous Blood Gas Samples at Moderate-, Heavy-, and Severe-Intensity Exercise

2025· article· en· W4411549564 on OpenAlexaffabout
Robin Faricier, Nasimi A. Guluzade, Brad Matushewski, Daniel A. Keir

Bibliographic record

VenuePhysiology · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsWestern University
Fundersnot available
KeywordsVenous bloodReproducibilityIntensity (physics)MedicineInternal medicineCardiologyPhysiologyChemistryChromatographyPhysics

Abstract

fetched live from OpenAlex

We assessed the day-to-day variability of arterialized-venous blood gas, electrolyte, and metabolite responses during cycling exercise within the moderate-, heavy-, and severe-intensity domains. We hypothesized that arterialized-venous blood variables would be consistent between-days at each exercise intensity. Fourteen healthy participants (mean ± SD [range], 55 ± 13 [36-75] years, [Formula: see text]O 2max = 34.1 ± 11.1 [16.2-49.7] mL·kg -1 ·min -1 ; 7 females) completed a maximal incremental cycling exercise protocol (Visit 1) and two step-incremental protocols (Visits 2 and 3) over three days. The step-incremental protocol involved three stages of exercise consisting of two 10-min stages, within the moderate- (MOD; 80% gas exchange threshold (GET)), and heavy-intensity domains (HVY; 70% between the GET and respiratory compensation point (RCP)) and a third stage within the severe-intensity domain (SVR; above RCP) until task disengagement. During MOD and HVY, 1.5 mL blood samples were withdrawn into heparinized syringes through a catheter placed in a heated hand vein at 5.0 and 7.5 minutes following stage onset and during the final minute of exercise in SVR. Blood samples were immediately analysed by a blood gas analyzer (ABL90Flex, Radiometer, Denmark). Two-way repeated measures ANOVA (intensity x day) and Pearson correlation coefficient (R) were used to assess between-day reproducibility at each intensity. Average power output for MOD, HVY, and SVR were 92±39 W, 130±50 W, and 169±74 W, respectively, eliciting steady-state [Formula: see text]O 2 of 1.54±0.57 L · min -1 , 1.99±0.73 L · min -1 , and peak [Formula: see text]O 2 of 2.46±1.00 L · min -1 . A significant main effect of intensity was found for all variables (p<0.05) but not for blood glucose ([Glu]; p=0.08). There was no main effect of day or intensity x day interaction for all variables. Combining all intensities, mean between-day changes were: pH: 0.01±0.02 (p=0.48, R=0.85); partial pressure of CO 2 : 0.4±2.3 mmHg (p=0.79, R=0.86);blood lactate concentration: 0.3±1.3 mmol . L -1 (p=0.25, R=0.92); [Glu]: 0.2±1.0 mmol . L -1 (p=0.64, R=0.17); bicarbonate concentration: -0.2±1.0 mmol . L -1 (p=0.32, R=0.90); potassium: 0.02±0.31 mmol . L -1 (p=0.57, R=0.83); sodium [Na + ]): 0.02±1.70 mmol . L -1 (p=0.91, R=0.78); calcium: 0.00±0.03 mmol . L -1 (p=0.23, R=0.57); and chloride: -0.66±2.62 mmol . L -1 (p=0.50, R=0.57). Arterialized-venous blood gas, electrolyte, and metabolite variables exhibited excellent test-retest reproducibility between-days. This was consistent irrespective of exercise intensity. Daniel A. Keir was supported by a NSERC Discovery Grant and the Canadian Foundation for Innovation. Robin Faricier was supported by an Ontario Graduate Scholarship. This abstract was presented at the American Physiology Summit 2025 and is only available in HTML format. There is no downloadable file or PDF version. The Physiology editorial board was not involved in the peer review process.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Reproducibility · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.999
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
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 head0.017
GPT teacher head0.260
Teacher spread0.243 · 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.

Study designBench or experimental
DomainReproducibility
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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