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Record W2793565309 · doi:10.1093/europace/euy015.016

54Treating underlying conditions improves quality of life in patients with persistent atrial fibrillation and heart failure - data from the RACE 3 study

2018· article· en· W2793565309 on OpenAlexaboutno aff
Ruben R De With, Michiel Rienstra, Bao‐Oanh Nguyen, Victor W Zwartkruis, Anne H. Hobbelt, Marco Alings, J. G. P. Tijssen, Marcelle D. Smit, Johan Brügemann, Bastiaan Geelhoed, Robert G Tieleman, Hans L. Hillege, D.J. van Veldhuisen, Hjgm Crijns, Isabelle C. Van Gelder

Bibliographic record

VenueEP Europace · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsnot available
FundersSt. Jude MedicalBoston Scientific CorporationSanofiAstraZeneca
KeywordsMedicineAtrial fibrillationHeart failureRace (biology)Internal medicineCardiologyQuality of life (healthcare)

Abstract

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On behalf of: RACE 3 study group Funding Acknowledgements: Netherlands Heart Foundation, AstraZeneca, Bayer, Biotronik, Boehringer-Ingelheim, Boston Scientific, Medtronic, Sanofi-Aventis, St-Jude-Medical Introduction: Atrial fibrillation (AF) reduces quality of life (QoL). Purpose: We sought to evaluate the effect of treating underlying conditions on QoL in patients with early persistent AF and early mild to moderate heart failure (HF). Methods: We studied QoL in 230 patients with early-persistent AF and early mild to moderate HF included in the randomized, multicenter, prospective Routine versus Aggressive Risk Factor Driven Upstream Rhythm Control for Prevention of Early Atrial Fibrillation in Heart Failure (RACE 3) study. The intervention group received 4 therapies on top of conventional care: 1) mineralocorticoid receptor antagonists, 2) statins, 3) angiotensin converting enzyme inhibitors and/or receptor blockers, and 4) cardiac rehabilitation including physical activity, dietary restrictions, and counseling. The 36-Item Short Form Health Survey (SF-36), Toronto AF severity scale (AFSS) and EHRA class were used to assess QoL and AF related symptoms on baseline and 1 year follow up (FU). Analyses were performed on an intention to treat basis. Results: Age was 65±9 years, 180 (78%) were men, median AF history was 3 (2-6) months and median HF duration 2 (1-4) was months. Hypertension was present in 139 (60%), diabetes in 22 (10%), coronary artery disease in 30 (13%). Left ventricular ejection fraction (LVEF) was 52 (43-60)%, atrial volume 38 (31-48) ml/m2. At baseline clinical characteristics were comparable in the intervention (n=114) and conventional group (n=116). At baseline the 8 SF-36 domains were comparable between both groups. At 1-year FU, all 8 SF-36 categories improved in the intervention, compared to 4 out of 8 categories in the conventional group. Mean change between baseline and 1 year in physical functioning (Δ11.6±19.2 vs Δ5.8±22.5, p=0.015), physical role limitations (Δ32.8±41.5 vs 16.5±45.0, p=0.011), and general health (Δ8.3±16.1 vs Δ–0.3 ±17.2, p<0.001) was significantly higher in the upstream group. No differences in AFSS were present at baseline between groups. In the AFSS, dyspnea in rest improved significantly more in the intervention group (Δ–0.8±1.3 vs Δ–0.4±1.2, p=0.018). At baseline EHRA class was 2.01±0.51 in the intervention vs 2.05±0.51 (p=0.520) in the conventional group, and 1.31±0.52 vs 1.54±0.64 (p=0.003) at 1 year FU. Conclusion: A strategy aiming to treat underlying conditions improves physical functioning, physical role limitations and general health significantly more compared to conventional therapy in patients with persistent atrial fibrillation and mild to moderate heart failure.

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)0.006
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation 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 score0.008
Threshold uncertainty score0.718

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.394
GPT teacher head0.432
Teacher spread0.038 · 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".

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Citations1
Published2018
Admission routes1
Has abstractyes

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