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Record W4406957308 · doi:10.1093/ehjci/jeae333.330

Oxygen pulse during cardiopulmonary exercise testing in cardiac patients as a surrogate of stroke volume: fact or fiction?

2025· article· en· W4406957308 on OpenAlexaff
Maurício Milani, Youri Bekhuis, Maarten Falter, Sara Ferreira, Sarah Hoedemakers, Wouter L’Hoyes, Stephen Foulkes, Mark J. Haykowsky, André La Gerche, Jan Stassen, Rūta Jasaitytė, Dominique Hansen, Lieven Herbots, Guido Claessen, Jan Verwerft

Bibliographic record

VenueEuropean Heart Journal - Cardiovascular Imaging · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsUniversity of Alberta Hospital
FundersVlaamse regeringFundação de Apoio à Pesquisa do Distrito FederalFonds Wetenschappelijk Onderzoek
KeywordsOxygen pulseStroke volumeMedicineCardiologyVO2 maxStroke (engine)Pulse (music)Internal medicineCardiac outputOxygenHeart rateComputer scienceHemodynamicsBlood pressureChemistryMechanical engineeringEngineering

Abstract

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Abstract Background According to the Fick equation, oxygen uptake (VO2) equals the product of cardiac output (CO) and arteriovenous oxygen difference (a-vO2Diff). Cardiopulmonary exercise testing (CPET) provides the oxygen pulse (O2pulse) as the ratio of VO2 and heart rate. The O2pulse is often considered a surrogate for stroke volume (SV) during effort, ignoring the AVO2Diff, to assess the hemodynamic response during exercise. Purpose To compare O2pulse and SV measured independently by simultaneous CPET and exercise echocardiography (CPETecho). Methods Observation study of CPETecho exams performed between July 2015 and May 2024. The O2pulse was obtained by CPET at rest, intermediate and peak loads, while the SV was calculated by the ultrasound velocity time integral of the left ventricular outflow tract and the estimated a-vO2Diff by the Fick equation. Variables were compared by one-way ANOVA and Tukey test. Differences in O2pulse and SV between intermediate and peak (ΔO2pulse and ΔSV) were used to analyze the agreement of effort patterns: ‘ascending’ with values increasing from intermediate to peak, or ‘descending’ with the opposite response. The pattern agreement was evaluated by Cohen kappa. A p < 0.05 was considered significant. Results A total of 1,866 exams were included in the study (54.1% males, age: 65.4 ± 13.9 y). The indications for the exams were heart failure with preserved ejection fraction (39.7%), valvular heart diseases (35.5%), investigation of myocardial ischemia (6.3%) and others (18.5%). The VO2 at intermediate level was 66±16% of the peak values. The O2pulse significantly raised from rest to intermediate and peak (4.0±1.9, 9.0±3.3 and 10.9±3.9 mL/beat; p < 0.0001; Figure 1). The SV during rest, intermediate and peak were 70.2±18.1, 84.5±20.9 and 85.1±21.3 mL/beat, respectively, without significant difference between intermediate and peak (p = 0.074). In contrast, the a-vO2Diff progressively increased from rest, intermediate and peak (p < 0.001). Notably, the ΔO2pulse and ΔSV exhibited a very weak correlation (r = 0.11, Figure 2). An ascending pattern was identified in 86.4% when considering ΔO2pulse and in 48% for ΔSV, with specific agreement of 43.4%. Conversely, a descending pattern was identified in 13.6% for ΔO2pulse and in 52.0% for ΔSV, with a specific agreement of 8.9%. The overall agreement was 52.3% (Cohen's kappa: 0.07), indicating almost no agreement between the patterns. Conclusion This study reveals a very low agreement between changes in O2pulse and SV during exercise in cardiac patients. The rise in O2pulse from intermediate to peak exercise was more closely related to the increase in a-vO2Diff whereas SV remained constant. Consequently, in cardiac patients, O2pulse changes cannot be assumed to be a reliable surrogate for SV changes, but rather reflect the combined effects of SV and muscle oxygen extraction, underscoring the importance of CPETecho for assessing exercise hemodynamic trends accurately.

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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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.141
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.015
GPT teacher head0.259
Teacher spread0.244 · 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.

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

Citations2
Published2025
Admission routes1
Has abstractyes

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