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Record W4399677634 · doi:10.1093/eurjpc/zwae175.021

Physiological determinants underlying a meaningful improvement in VO2peak following exercise training in anthracycline-treated breast cancer survivors

2024· article· en· W4399677634 on OpenAlexaff
Stephen Foulkes, Mark J. Haykowsky, Erin J. Howden, Yoland Antill, Sophie Nightingale, Robin M. Daly, Steve F. Fraser, André La Gerche

Bibliographic record

VenueEuropean Journal of Preventive Cardiology · 2024
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineBreast cancerInternal medicineCardiac function curveCardiologyStroke volumeHeart rateAnthracyclineVO2 maxEjection fractionPhysical therapyHeart failureCancerBlood pressure

Abstract

fetched live from OpenAlex

Abstract Background Exercise training (ExT) is emerging as a useful therapy to address limitations in VO2peak in anthracycline-treated breast cancer (BC) survivors. However, the factors necessary for improving VO2peak during (neo)adjuvant BC therapy remain unclear. Purpose To explore the physiologic factors that were associated with a meaningful increase in VO2peak following a 12-month structured ExT intervention in breast cancer survivors undergoing anthracycline-based therapy. Methods This was a secondary analysis of the BReast cancer EXercise InTervention (BREXIT) Trial using baseline and 12-month data from participants randomized to ExT with complete VO2peak data at baseline and 12-months (n=48). A meaningful increase in VO2peak was defined as a ≥1.65 mL/kg/min improvement in VO2peak from baseline (pre-chemotherapy) to 12-months (n=22, 46% of ExT group) as this corresponds to the minimal detectable change from our laboratory and exceeds previously published values for a minimally clinically important difference. VO2peak, peak heart rate (HRpeak) and peak arterial O2 saturation were assessed from a maximal cardiopulmonary exercise test. Peak exercise cardiac function (stroke volume [SVpeak] and cardiac output [Qcpeak]) was assessed by exercise cardiac magnetic resonance. Peak exercise convective O2 delivery (QO2peak), arterio-venous oxygen difference (a-vO2diff) and skeletal muscle diffusive O2 conductance (O2 transport from microvasculature to mitochondria [DMO2]) were calculated from VO2peak, arterial O2 saturation, exercise hemodynamic measures and haemoglobin concentration (assessed via venous blood draw) according to previously published equations. Results There were no significant differences in age, body mass index, baseline VO2peak or cardiac function between those who increased VO2peak or not. Those with increased VO2peak had higher ExT adherence (78% vs 68%, P=0.005). As expected, the increased VO2peak group had a 21% improvement in VO2peak from baseline to 12-months compared to the no change in the no VO2peak increase group (-2%; interaction P<0.001). Both groups showed comparable increases in SVpeak (+12% vs +7%, interaction P=0.09), Qcpeak (+13% vs +11%, Interaction P=0.48) and QO2peak (+14% vs +7%, interaction P=0.13). The key factors differentiating the two groups was that the increased VO2peak group also increased DMO2 (+17%, interaction P<0.001), that acted to maintain the a-vO2diff. In contrast, the group with stable VO2peak experienced no change in DMO2, which resulted in a decrease in the a-vO2diff (-12%, interaction P<0.001) and explains why they saw negligible change in VO2peak. Conclusion In anthracycline-treated BC survivors, achieving a meaningful improvement in VO2peak with exercise training requires concurrent adaptations in factors governing O2 delivery (peak cardiac function) and diffusion of O2 into skeletal muscle, highlighting the importance of multi-modal exercise training interventions in this population.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.944
Threshold uncertainty score0.931

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
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 head0.041
GPT teacher head0.326
Teacher spread0.285 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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