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Abstract 4135741: Perioperative and Long-term Impact of Contemporary Optimal Guideline-Directed Medical Therapy in Patients with Reduced Ejection Fraction Undergoing Aortic Valve Surgery for Pure Severe Chronic Aortic Regurgitation

2024· article· en· W4404302534 on OpenAlexaff
Alexandre Cinq‐Mars, Marie-Christine Blais, Roxanne St-Louis, Charline-Hélyette PUJOS, Montse Massot, Johanne Veillette, Florence Bernier, Pierre Yves Turgeon, David Belzile, Mathieu Bernier, François Dagenais, Mario Sénéchal

Bibliographic record

VenueCirculation · 2024
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsInstitut universitaire de cardiologie et de pneumologie de Québec
Fundersnot available
KeywordsMedicineEjection fractionRegurgitation (circulation)PerioperativeCardiologyInternal medicineGuidelineMedical therapyAortic valveAortic valve replacementSurgeryHeart failureStenosis

Abstract

fetched live from OpenAlex

Background: Although recent studies have showed improved outcomes, aortic valve replacement (AVR) for chronic aortic regurgitation (AR) in the presence of reduced left ventricular ejection fraction (LVEF) is associated with a higher surgical risk. Contemporary long-term outcome remains poorly investigated. Methods: Between January 2004 and August 2019, we identified 122 patients who underwent AVR for pure chronic severe AR with LVEF less than 50%. Patients with severe reduced LVEF (<35%, n=37) were compared with those with mild to moderate reduced LVEF (35% to 50%, n=85). Results: Preoperative and intraoperative characteristics were similar in both groups. Operative mortality for the entire cohort was 1,6% (n=2) and similar across the LVEF spectrum. Postoperative intra-aortic balloon pump has been used in 2/37 patients with LVEF < 35% compared to 0/85 patients with LVEF 35-50% (p = 0.09). Patients with severely reduced LVEF had a longer length of stay (10.1±5.5 vs 7.8±3.5 days, p=0,02) while the rate of stroke, atrial fibrillation, acute renal failure, and pulmonary infection were similar between groups. Postoperatively, optimal medical therapy was achieved in most patients and more than a quarter of patients with LVEF < 35% benefited from cardiac resynchronization therapy. At the latest follow-up, mean LVEF was 42±12% in the severe reduced LVEF (vs. baseline 28±6%, p<0.001) and 51±9% in the mild to moderate reduced LVEF group (vs. baseline 45±4%, p<0.001). Freedom from cardiovascular (CV) death at ten years was 87.2% in the severe reduced LVEF group and 94.7% in patients with mild to moderate reduced LVEF (p=0.10). Freedom from heart failure (HF) hospitalization at ten years was higher in the mild to moderate reduced LVEF group (96.3%) than in the severely reduced LVEF group (88.3%) (p=0.009). Conclusion: In this contemporary cohort of patients undergoing AVR for chronic severe AR, patients with severely reduced EF treated with optimal guideline-directed medical therapy had a similar operative mortality and freedom from CV death than patients with mild to moderate reduced LVEF. Favorable left ventricular remodeling was observed in both groups at 1 year follow-up. Hospitalization for HF was low with less than 15% in both groups at 10 years follow-up; although rehospitalisation occurred more frequently in severe reduced LVEF group.

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)0.002
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: Other · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.021
GPT teacher head0.344
Teacher spread0.324 · 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
GenreOther

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

Citations0
Published2024
Admission routes1
Has abstractyes

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