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Effect of Baseline Left Ventricular Ejection Fraction on 2-Year Outcomes After Transcatheter Aortic Valve Replacement

2019· article· en· W2972166054 on OpenAlex
Ariel Furer, Shmuel Chen, Björn Redfors, Sammy Elmariah, Philippe Pîbarot, Howard C. Herrmann, Rebecca T. Hahn, Susheel Kodali, Vinod H. Thourani, Pamela S. Douglas, Maria Alu, William F. Fearon, Jonathan Passeri, S. Chris Malaisrie, Aaron Crowley, Thomas McAndrew, Philippe Généreux, Ori Ben‐Yehuda, Martin B. Leon, Daniel Burkhoff

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCirculation Heart Failure · 2019
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsInstitut national de psychiatrie légale Philippe-Pinel
Fundersnot available
KeywordsMedicineEjection fractionCardiologyInternal medicineHazard ratioAortic valve replacementProportional hazards modelHeart failureValve replacementStenosisAortic valve stenosisAortic valveConfidence interval

Abstract

fetched live from OpenAlex

Background: Impaired left ventricular function is associated with worse prognosis among patients with aortic stenosis treated medically or with surgical aortic valve replacement. It is unclear whether reduced left ventricular ejection fraction (LVEF) is an independent predictor of adverse outcomes after transcatheter aortic valve replacement. Methods and Results: Patients who underwent transcatheter aortic valve replacement in the PARTNER 2 trials (Placement of Aortic Transcatheter Valves) and registries were stratified according to presence of reduced LVEF (<50%) at baseline, and 2-year risk of cardiovascular mortality was compared using Kaplan–Meier methods and multivariable Cox proportional hazards regression. Of 2991 patients, 839 (28%) had reduced LVEF. These patients were younger, more often males, and were more likely to have comorbidities, such as coronary disease, diabetes mellitus, and renal insufficiency. Compared with patients with normal LVEF, patients with low LVEF had higher crude rates of 2-year cardiovascular mortality (19.8% versus 12.0%, P <0.0001) and all-cause mortality (27.4% versus 19.2%, P <0.0001). Mean aortic valve gradient was not associated with clinical outcomes other than heart failure hospitalizations (hazard ratio [HR], 0.99; CI, 0.99–1.00; P =0.03). After multivariable adjustment, patients with reduced versus normal LVEF had significantly higher adjusted risk of cardiovascular death (adjusted HR, 1.42, 95% CI, 1.11–1.81; P =0.005), but not all-cause death (adjusted HR, 1.20; 95% CI, 0.99–1.47; P =0.07). When LVEF was treated as continuous variable, it was associated with increased 2-year risk of both cardiovascular mortality (adjusted HR per 10% decrease in LVEF, 1.16; 95% CI, 1.07–1.27; P =0.0006) and all-cause mortality (adjusted HR, 1.09; 95% CI, 1.01–1.16; P =0.02). Conclusions: In this patient-level pooled analysis of PARTNER 2 patients who underwent transcatheter aortic valve replacement, baseline LVEF was an independent predictor of 2-year cardiovascular mortality. Clinical Trial Registration: URL: https://www.clinicaltrials.gov . Unique identifiers: NCT01314313, NCT02184442, NCT03222128, and NCT02184441.

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.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.915

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.002
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 head0.006
GPT teacher head0.292
Teacher spread0.286 · 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