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Record W3108956252 · doi:10.1093/ehjci/ehaa946.1930

Six-month and one-year outcomes with the PASCAL transcatheter valve repair system for patients with mitral regurgitation from the multicentre, prospective CLASP study

2020· article· en· W3108956252 on OpenAlexaff
Konstantinos Spargias, Molly Szerlip, Saibal Kar, Raj Makkar, Robert Kipperman, William O’Neill, M. Ng, Neil Fam, M Rinaldi, Robert L. Smith, D. Walters, Ulrich Schäfer, Azeem Latib, Leo Marcoff, John G. Webb

Bibliographic record

VenueEuropean Heart Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsSt. Paul's HospitalSt. Michael's Hospital
Fundersnot available
KeywordsMedicineMitraClipCardiogenic shockMitral regurgitationSurgeryStroke (engine)Internal medicineCardiologyProspective cohort studyClinical endpointMitral valve replacementValve replacementMitral valve repairMitral valveMyocardial infarctionRandomized controlled trialStenosis

Abstract

fetched live from OpenAlex

Abstract Background Transcatheter mitral valve repair has emerged as a viable option for treating mitral regurgitation (MR). We report results from the multicentre, prospective, single arm CLASP study with the PASCAL transcatheter valve repair system. Methods 109 patients with clinically significant MR deemed candidates for transcatheter repair by the local heart team were treated in the CLASP study. The study evaluated safety, performance, clinical and echocardiographic outcomes and included an independent clinical events committee and echocardiographic core lab. The primary safety endpoint was a composite MAE rate at 30 days of cardiovascular mortality, stroke, MI, new need for renal replacement therapy, severe bleeding, and re-intervention for study device-related complications. Results Mean age was 76 years, 54% male, 57% NYHA Class III/IV, 100% MR grade ≥3+ with 62% functional, 31% degenerative, 7% mixed etiology. Successful implantation was achieved in 95% of patients. At 30 days, the MAE rate was 8.3% including one cardiovascular mortality due to cardiogenic shock as a result of severe bleeding at the contralateral arterial access site for hemodynamic monitoring further complicated by disseminated intravascular coagulation, one stroke, and one conversion to mitral valve replacement surgery. In paired analysis, 88% of patients were in NYHA Class I/II (p<0.001), MR grade was ≤1+ in 79% of patients and ≤2+ in 96% of patients. Significant improvements in 6MWD (+27 m, p<0.001) and KCCQ (+16 points, p<0.001) were observed. The six-month data will be available for presentation. In addition, we report one-year follow up of the first 62 patients (ITT): 93% one-year survival rate (Kaplan-Meier estimate), no stroke, no late reintervention, one late MI. In paired analysis, MR grade was ≤1+ in 82% of patients and ≤2+ in 100% of patients. 88% of patients were in NYHA Class I/II (p<0.001), 6MWD improved by 21 m (p=0.124) and KCCQ improved by 13 points (p<0.001). Conclusions This study demonstrates the PASCAL transcatheter valve repair system is safe and resulted in robust MR reduction with 100% of patients achieving MR ≤2+, and ∼ 80% MR ≤1+, sustained at one year. Results show high survival and low complication rates, and sustained improvements in functional status, exercise capacity, and quality of life at one year in patients with clinically significant, symptomatic MR. The CLASP IID/IIF pivotal trial is underway. Funding Acknowledgement Type of funding source: Private company. Main funding source(s): Edwards Lifesciences (Irvine, CA)

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)0.004
metaresearch head score (Gemma)0.004
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 score0.004
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.020
GPT teacher head0.280
Teacher spread0.260 · 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".

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Citations1
Published2020
Admission routes1
Has abstractyes

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