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Record W4285590238 · doi:10.1002/ehf2.14070

Peak O2-Pulse Predicts Exercise Training-Induced Changes in Peak VO2 in Heart Failure with Preserved Ejection Fraction

2022· article· en· W4285590238 on OpenAlexaff
Stephan Mueller, Bernhard Haller, Anna Feuerstein, Ephraim B. Winzer, Paul Beckers, Mark J. Haykowsky, Andreas B. Gevaert, Jennifer Hommel, Luciene Ferreira Azevedo, André Duvinage, Katrin Esefeld, Isabel Fegers‐Wustrow, Jeffrey W. Christle, Elisabeth Pieske‐Kraigher, Evgeny Belyavskiy, Daniel A. Morris, Martin Kropf, Radhakrishnan Aravind-Kumar, Frank Edelmann, Axel Linke, Volker Adams, Emeline M. Van Craenenbroeck, Burkert Pieske, Martin Halle

Bibliographic record

VenueESC Heart Failure · 2022
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsUniversity of Alberta
FundersInternational Graduate School of Science and EngineeringSeventh Framework ProgrammeServierTechnische Universität MünchenConselho Nacional de Desenvolvimento Científico e TecnológicoFonds Wetenschappelijk OnderzoekDaiichi-SankyoBundesministerium für Bildung und ForschungDeutsche ForschungsgemeinschaftClaret MedicalEuropean CommissionSanofiBayer HealthCareDeutsches Zentrum für Herz-KreislaufforschungNorges Teknisk-Naturvitenskapelige UniversitetBoston Scientific CorporationAstraZenecaBristol-Myers SquibbEdwards LifesciencesVifor PharmaPfizer
KeywordsMedicineOxygen pulseHeart failureEjection fractionCardiologyInternal medicineStroke volumeVO2 maxHeart failure with preserved ejection fractionHeart rateBlood pressure

Abstract

fetched live from OpenAlex

Abstract Aims Exercise training (ET) has been consistently shown to increase peak oxygen consumption (V̇O2) in patients with heart failure with preserved ejection fraction (HFpEF); however, inter-individual responses vary significantly. Because it is unlikely that ET-induced improvements in peak V̇O2 are significantly mediated by an increase in peak heart rate (HR), we aimed to investigate whether baseline peak O2-pulse (V̇O2 × HR−1, reflecting the product of stroke volume and arteriovenous oxygen difference), not baseline peak V̇O2, is inversely associated with the change in peak V̇O2 (adjusted by body weight) following ET versus guideline control (CON) in patients with HFpEF. Methods and results This was a secondary analysis of the OptimEx-Clin (Optimizing Exercise Training in Prevention and Treatment of Diastolic Heart Failure, NCT02078947) trial, including all 158 patients with complete baseline and 3 month cardiopulmonary exercise testing measurements (106 ET, 52 CON). Change in peak V̇O2 (%) was analysed as a function of baseline peak V̇O2 and its determinants (absolute peak V̇O2, peak O2-pulse, peak HR, weight, haemoglobin) using robust linear regression analyses. Mediating effects on change in peak V̇O2 through changes in peak O2-pulse, peak HR and weight were analysed by a causal mediation analysis with multiple correlated mediators. Change in submaximal exercise tolerance (V̇O2 at the ventilatory threshold, VT1) was analysed as a secondary endpoint. Among 158 patients with HFpEF (66% female; mean age, 70 ± 8 years), changes in peak O2-pulse explained approximately 72% of the difference in changes in peak V̇O2 between ET and CON [10.0% (95% CI, 4.1 to 15.9), P = 0.001]. There was a significant interaction between the groups for the influence of baseline peak O2-pulse on change in peak V̇O2 (interaction P = 0.04). In the ET group, every 1 mL/beat higher baseline peak O2-pulse was associated with a decreased mean change in peak V̇O2 of −1.45% (95% CI, −2.30 to −0.60, P = 0.001) compared with a mean change of −0.08% (95% CI, −1.11 to 0.96, P = 0.88) following CON. None of the other factors showed significant interactions with study groups for the change in peak V̇O2 (P > 0.05). Change in V̇O2 at VT1 was not associated with any of the investigated factors (P > 0.05). Conclusions In patients with HFpEF, the easily measurable peak O2-pulse seems to be a good indicator of the potential for improving peak V̇O2 through exercise training. While changes in submaximal exercise tolerance were independent of baseline peak O2-pulse, patients with high O2-pulse may need to use additional therapies to significantly increase peak V̇O2.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.573
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.020
GPT teacher head0.252
Teacher spread0.232 · 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

Citations16
Published2022
Admission routes1
Has abstractyes

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