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Cost-Effectiveness of Transcatheter Versus Surgical Aortic Valve Replacement in Patients With Severe Aortic Stenosis at Intermediate Risk

2019· article· en· W2916705285 on OpenAlexaff
Suzanne J. Baron, Kaijun Wang, John A. House, Elizabeth A. Magnuson, Matthew R. Reynolds, Raj Makkar, Howard C. Herrmann, Susheel Kodali, Vinod H. Thourani, Samir Kapadia, Lars G. Svensson, Michael J. Mack, David L. Brown, Mark J. Russo, Craig R. Smith, John G. Webb, D. Craig Miller, Martin B. Leon, David J. Cohen

Bibliographic record

VenueCirculation · 2019
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsSt. Paul's Hospital
Fundersnot available
KeywordsMedicineValve replacementStenosisAortic valve replacementAortic valve stenosisCardiologyCost effectivenessAortic valveSurgeryRandomized controlled trialInternal medicine

Abstract

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BACKGROUND: In patients with severe aortic stenosis (AS) at intermediate surgical risk, treatment with transcatheter aortic valve replacement (TAVR) or surgical aortic valve replacement (SAVR) results in similar rates of death or stroke at 2 years. Whether TAVR is cost-effective compared with SAVR for intermediate-risk patients remains uncertain. METHODS: Between 2011 and 2014, 3110 intermediate-risk AS patients were treated with TAVR or SAVR in the PARTNER 2 trial (Placement of Aortic Transcatheter Valves 2). A total of 2032 patients were randomized to receive TAVR using the SAPIEN XT valve (XT-TAVR) or SAVR in the PARTNER 2A trial, whereas the PARTNER S3i registry included an additional 1078 patients treated with TAVR using the SAPIEN 3 valve (S3-TAVR), which offers a lower delivery profile and sealing skirt designed to reduce paravalvular regurgitation compared with XT-TAVR. Procedural costs were estimated using measured resource utilization. Other in-trial costs were assessed by linkage of trial data with Medicare claims (n=2333) or by linear regression models for unlinked patients (n=682). Health utilities were estimated using the EQ-5D at baseline and 1, 12, and 24 months. Using a Markov model informed by in-trial costs, utilities, and survival data, lifetime cost-effectiveness from the perspective of the US healthcare system was estimated in terms of cost per quality-adjusted life-year gained. RESULTS: Although procedural costs were ≈$20 000 higher with TAVR than SAVR, total cost differences for the index hospitalization were only $2888 higher with XT-TAVR ( P=0.014) and were $4155 lower with S3-TAVR ( P<0.001) owing to reductions in length of stay with TAVR. Follow-up costs were significantly lower with XT-TAVR (Δ=-$9304; P<0.001) and S3-TAVR (Δ=-$11 377; P<0.001) than with SAVR. Over a lifetime horizon, TAVR was projected to lower total costs by $8000 to $10 000 and to increase quality-adjusted survival by 0.15 to 0.27 years. XT-TAVR and S3-TAVR were found to be economically dominant compared with SAVR in 84% and 97% of bootstrap replicates, respectively. CONCLUSIONS: Among intermediate-risk AS patients, TAVR is projected to be economically dominant from the perspective of the US healthcare system by providing both greater quality-adjusted life expectancy and lower long-term costs than SAVR. If long-term data demonstrate comparable late mortality with TAVR and SAVR, these findings suggest that TAVR might be the preferred treatment strategy for intermediate-risk AS patients based on both clinical and economic considerations. CLINICAL TRIAL REGISTRATION: URL: https://www.clinicaltrials.gov . Unique identifier: NCT01314313.

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)0.000
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 score0.012
Threshold uncertainty score0.415

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.016
GPT teacher head0.300
Teacher spread0.284 · 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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Citations179
Published2019
Admission routes1
Has abstractyes

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