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Record W3107802864 · doi:10.1093/ehjci/ehaa946.3273

Association between global longitudinal strain and cardiopulmonary fitness in patients with breast cancer

2020· article· en· W3107802864 on OpenAlexaffabout
Alis Bonsignore, Eitan Amir, Thomas H. Marwick, Babitha Thampinathan, Christine Brezden‐Masley, K. Yared, Yobiga Thevakumaran, Bernd J. Wintersperger, Paaladinesh Thavendiranathan

Bibliographic record

VenueEuropean Heart Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicChemotherapy-induced cardiotoxicity and mitigation
Canadian institutionsUniversity Health NetworkMount Sinai HospitalThe Scarborough HospitalPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsMedicineEjection fractionCardiotoxicityBreast cancerTrastuzumabInternal medicineCardiologyAnthracyclinePopulationCancerHeart failureOncologyChemotherapy

Abstract

fetched live from OpenAlex

Abstract Background Anthracycline and trastuzumab therapies improve survival in the cancer population, but are limited by treatment induced cardiotoxicity. Echocardiography derived global longitudinal strain (GLS) permits more sensitive detection of cardiotoxicity than left ventricular ejection fraction (LVEF). However, the clinical implication of a reduction in GLS in cancer survivors is unknown. Purpose To define the association between GLS and cardiopulmonary fitness in women with breast cancer immediately post cancer therapy. Methods Women with HER2+ early stage breast cancer (EBC, Stage I-III) receiving anthracyclines followed by trastuzumab were recruited prospectively and followed between January 2015 and December 2019 with echocardiography during therapy. Left ventricular peak systolic GLS (GE EchoPAC, 3 apical views) and 3D-LVEF were measured prior to anthracyclines, and after completion of trastuzumab at 12 months. Exercise capacity was measured using a supine bicycle cardiopulmonary exercise test. Results of exercise testing at end of treatment were compared between patients with and without reduced GLS (absolute value ≤18% vs >18%) at the end of therapy. Results Amongst 128 women, 43 (34%) had a GLS ≤18% at the end of trastuzumab therapy. Baseline patient demographics including tumor characteristics and cardiac risk factors were similar between those with normal and abnormal GLS. During treatment 33 (25.8%) participants developed cardiotoxicity defined by the CREC criteria based on 3D-LVEF. Significant baseline (pre-cancer treatment) differences were found between groups for GLS (GLS 21.2±1.8 vs 19.6±2.2, p<0.001) and 3D LVEF (61.8±3.5 vs 60.2±3.7%, p=0.02) for those with GLS >18% and GLS ≤18% respectively at the completion of trastuzumab. Compared to those with GLS >18% those with GLS ≤18% had lower VO2peak (17.4±3.8 mL.kg-1.min-1 versus 20.2±4.9 mL.kg-1.min-1, p=0.001) despite similar effort (respiratory exchange ratio 1.14 versus 1.12, p=0.30). GLS following therapy (β coefficient: −0.596, SE 0.255; p=0.02) and age (β coefficient: −0.115, SE 0.057; p=0.047) were the only parameters associated with VO2peak after adjusting for relevant confounding factors. Conclusion A significant proportion of women receiving cancer therapy for HER2+ EBC had reduced GLS at end of treatment. Abnormal GLS at the end of cancer treatment was associated with lower VO2peak. Reduced VO2peak is strongly associated with late-occurring cardiovascular events and should prompt closer cardiac monitoring, cardiac risk factor management, and referral to exercise rehabilitation programs. Funding Acknowledgement Type of funding source: Public grant(s) – National budget only. Main funding source(s): Canadian Institute of Health Research

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.026
GPT teacher head0.270
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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2020
Admission routes2
Has abstractyes

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