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Abstract 16962: Two-year Outcomes Following Mitral Valve Repair or Replacement for Severe Ischemic Mitral Regurgitation

2015· article· en· W2895133337 on OpenAlexaff
Daniel J. Goldstein, Gorav Ailawadi, Alan J. Moskowitz, Louis P. Perrault, Michael K. Parides, Annetine C. Gelijns, Judy Hung, François Dagenais, A. Marc Gillinov, Vinod H. Thourani, Michael Argenziano, James S. Gammie, Michael J. Mack, Philippe Demers, Pavan Atluri, Eric A. Rose, Karen O’Sullivan, Deborah Williams, Emilia Bagiella, Robert E. Michler, Richard D. Weisel, Marissa A. Miller, Wendy C. Taddei‐Peters, Peter K. Smith, Ellen Moquete, Patrick T. O’Gara, Jessica Overbey, Irving L. Kron, Michael A. Acker

Bibliographic record

VenueCirculation · 2015
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsToronto General HospitalInstitut universitaire de cardiologie et de pneumologie de QuébecMontreal Heart Institute
Fundersnot available
KeywordsMedicineMitral regurgitationMitral valve replacementSurgeryValve replacementMitral valve repairEjection fractionRandomized controlled trialCardiologyMitral valveInternal medicineHeart failureStenosis

Abstract

fetched live from OpenAlex

Background: The Cardiothoracic Surgical Trials Network recently reported no difference in left ventricular end systolic volume index (LVESVI) at one year post-surgery between patients randomized to mitral repair (n=126) or replacement (n=125) for severe ischemic mitral regurgitation (MR). However, repair patients experienced significantly more recurrent MR than replacement patients. We report the 2-year follow-up of trial participants. Methods: We followed 251 patients randomized to repair or replacement for 2 years. LVESVI was assessed using a Wilcoxon rank sum test in which deaths were assigned the lowest rank. Results: Among surviving patients, mean 2-year LVESVI was 52.6 ±28mL/m2 in the repair and 60.7±39mL/m2 in the replacement arm (mean decrease from baseline 9.0mL/m2 and 6.5mL/m2, respectively). Two-year mortality was 19.1% for repair and 23.2% for replacement (HR 0.79, 95% CI 0.46-1.35; p=0.39). There was no significant between-group difference in LVESVI after adjustment for death (Z=-1.32, p=0.19). The rate of moderate or severe MR recurrence at 24 months was higher in the repair than replacement arm (36.3% vs.1.3%; p< .0001). In the repair arm, the 2-year LVESVI was 62.5 ± 25 in patients with recurrent MR vs. 47.0 ± 29 in those without MR (p=0.0042). Four repair patients and 1 replacement patient underwent MV reoperation. There was no significant difference in the composite of MACCE, functional status or quality of life at 2 years. Rates (pt-yr) of serious adverse events (1.5 vs.1.3, p=0.18) and overall readmissions (0.8 vs. 0.7, p=0.14) were not different between arms, but repair patients experienced a higher rate of serious heart failure (0.24 vs. 0.15, p=0.049) and more CV readmissions (0.48 vs. 0.33, p=0.02) than replacement patients. Conclusions: We observed no difference in LV reverse remodeling or survival between repair and replacement at two years. Replacement provided more durable correction of MR, as well as fewer HF events and CV readmissions.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.043
GPT teacher head0.370
Teacher spread0.327 · 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
Published2015
Admission routes1
Has abstractyes

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