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Record W4386880700 · doi:10.1136/bmjopen-2023-073549

One-year real-world outcomes for patients undergoing transcatheter mitral valve repair: the Gulf MTEER registry (GULF Mitral Transcatheter Edge to Edge Repair)

2023· article· en· W4386880700 on OpenAlexaff
Mirvat Alasnag, Fayez Bokhari, Abdulrahman Almoghairi, Khaled Marri, Abdullah Alenezi, Waleed Alharbi, Nouf Alanazi, Haitham Amin, Hussam Noor, Shereen Al-Shaikh, Fawaz Bardowli, Hatim Al Lawati, Khalid Al Faraidy, Mohammed Alshehri, Adel Tash, Waleed AlHabeeb, Mohammed Balghith, Michael Thabane, Lehana Thabane, Khaled Al‐Shaibi

Bibliographic record

VenueBMJ Open · 2023
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsMcMaster UniversityImpact
Fundersnot available
KeywordsMedicineMitraClipMitral regurgitationMitral valve repairHeart failureMitral valveCardiologyClinical endpointInternal medicineSurgeryClinical trial

Abstract

fetched live from OpenAlex

Background Severe mitral regurgitation (MR) with left ventricular dysfunction portends worse outcomes. Over the course of the last two decades, transcatheter repair of the mitral valve offered an alternative therapeutic modality for those deemed inoperable or high risk. Landmark studies such as the Cardiovascular Outcomes Assessment of the MitraClip Percutaneous Therapy for Heart Failure Patients With Functional Mitral Regurgitation and Multicentre Study of Percutaneous Mitral Valve Repair MitraClip Device in Patients With Severe Secondary Mitral Regurgitation trials have shown conflicting results with respect to all-cause death and heart failure rehospitalisations. The Gulf Mitral Transcatheter Edge to Edge Repair registry (Gulf MTEER registry) is a regional registry that captured outcomes in those undergoing transcatheter repair of the mitral valve. The objectives of this study were to describe the baseline characteristics of patients undergoing transcatheter mitral valve repair in the Gulf region and estimate the cardiovascular effects of the mitral transcatheter therapies in routine practice. Methods The Gulf MTEER registry is an observational, multicentre, retrospective registry that enrolled all patients undergoing transcatheter repair of the mitral valve from four of the Gulf countries (Saudi Arabia, Kuwait, Bahrain, Oman) between 1 January 2017 and 31 December 2019. Baseline characteristics, echocardiographic parameters and immediate procedural success were reported. The primary outcome was a composite of death and rehospitalisations at 1 year. The secondary outcomes were the individual components of the composite endpoint; that is, death and rehospitalisations at 1 year as well as residual or recurrent MR or worsening New York Heart Association class and a need for repeat repair. Results A total of 176 patients were enrolled. Men constituted 56.3% of the total. At 1 year the primary outcome occurred in 21.1% (95% CI 15.6, 27.9). The secondary outcomes of death occurred in 5.4% (CI 2.9, 10.0) and rehospitalisations occurred in 16.9% (CI 11.9, 23.3). Univariate analysis revealed that the odds of having death or re-hospitalisation was two times higher if the effective regurgitant orifice (ERO) >40 mm2irrespective of the therapy. Conclusions The Gulf MTEER registry is the first registry in the Gulf region defining the patient population receiving MTEER therapies and evaluating 1-year outcomes. This is a low risk cohort with a high rate of immediate procedural success and low rate of all-cause death and rehospitalisations at 1 year. The odds of an event was two times higher if the ERO ≥40 mm2with only a signal to higher odds for low left ventricular ejection fraction and larger end systolic dimension.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0000.000
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 head0.063
GPT teacher head0.395
Teacher spread0.332 · 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

Citations3
Published2023
Admission routes1
Has abstractyes

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