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Record W4225663454 · doi:10.1161/circ.145.suppl_1.ep11

Abstract EP11: Long-term Outcomes Of Transcatheter Aortic Valve Replacement Compared With Surgical Aortic Valve Replacement: A Retrospective Cohort Study With Overlap Propensity Score Weighting

2022· article· en· W4225663454 on OpenAlexaffabout
Zhe Li, Jodi D. Edwards

Bibliographic record

VenueCirculation · 2022
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsOttawa Heart Institute
Fundersnot available
KeywordsMedicinePropensity score matchingAortic valve replacementInternal medicineStroke (engine)CardiologyHazard ratioAtrial fibrillationValve replacementRetrospective cohort studyCohortMyocardial infarctionProportional hazards modelSurgeryConfidence intervalStenosis

Abstract

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Objectives: This longitudinal observational study utilized surgical procedure data from Ontario, Canada to compare mid- and long-term clinical outcomes in a representative real-world cohort of patients (2007-2019) after transcatheter aortic valve replacement (TAVR) and surgical aortic valve replacement (SAVR). Methods: A novel overlap weighting propensity score method was used to match patients on the date of TAVR or SAVR, conditional on baseline patient characteristics. Primary outcomes were all-cause and cardiovascular mortality either in-hospital or at 1, 3 and 5 years post-discharge. Secondary outcomes included ischemic stroke, hemorrhagic stroke, myocardial infarction, acute kidney injury, vascular complications, atrial fibrillation, endocarditis, permanent pacemaker implantation, defibrillator, reintervention, and cause-specific readmission at 1, 3 and 5 years post-discharge. In-hospital outcomes were compared using multivariable logistic regression. Long-term primary and secondary outcomes for patients undergoing TAVR vs. SAVR were compared using an overlap propensity score-weighted competing risks sub-distribution proportional hazards model. Results: The study included 9,355 SAVR and 2,641 TAVR patients. Hazards of all-cause mortality at 1 year (Hazard Ratio [HR], 1.25; 95% CI, 1.06-1.48), 3 years (HR, 1.48; 95% CI, 1.31-1.68) and 5 years (HR, 1.51; 95% CI, 1.36-1.69) were significantly higher in the TAVR compared to SAVR group. Cardiovascular mortality was significantly higher in the TAVR group at 3 (HR, 1.40; 95% CI, 1.08-1.80) and 5 years (HR, 1.41; 95% CI, 1.13-1.77). Non-cardiovascular mortality was also significantly higher in the TAVR group at 1 year (HR, 1.46; 95% CI, 1.03-2.06), 3 years (HR, 1.48; 95% CI, 1.17-1.88), and 5 years (HR, 1.41; 95% CI, 1.16-1.72). Hazards of myocardial infarction were significantly greater in the TAVR at 1 year (HR, 1.72; 95% CI, 1.08-2.74), 3 years (HR, 1.86; 95% CI, 1.35-2.57), and 5 years (HR, 1.82; 95% CI, 1.37-2.42). Hazards of angina readmission were significantly greater in the TAVR at 3 years (HR, 1.94; 95% CI, 1.26-3.00) and 5 years (HR, 1.87; 95% CI, 1.26-2.78). Conclusions: In real-life patients who underwent a TAVR experienced an excess cardiac and non-cardiac mortality compared to SAVR. More studies with long-term follow-up are needed to confirm the long-term clinical benefits of TAVR and effort to improve patient selection are warranted.

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)0.003
metaresearch head score (Gemma)0.007
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 score0.173
Threshold uncertainty score0.344

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.030
GPT teacher head0.309
Teacher spread0.279 · 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".

Quick stats

Citations0
Published2022
Admission routes2
Has abstractyes

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