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Record W4417257758 · doi:10.1016/j.jaccas.2025.106406

Percutaneous Debulking of Bioprosthetic Mitral Valve Vegetations

2025· article· en· W4417257758 on OpenAlexaff
Abdulaziz Al Asmari, Kwan L. Chan

Bibliographic record

VenueJACC Case Reports · 2025
Typearticle
Languageen
FieldMedicine
TopicInfective Endocarditis Diagnosis and Management
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsDebulkingPercutaneousMitral valveMitral valve replacementProsthesis designMitral valve stenosis

Abstract

fetched live from OpenAlex

BACKGROUND: Infective endocarditis involving a prosthetic mitral valve carries high morbidity, especially when complicated by embolic events. Repeat surgery is often not feasible in high-risk patients. CASE SUMMARY: An 81-year-old man with a mitral valve bioprosthesis presented with recurrent infective endocarditis due to Streptococcus mutans, with enlarging vegetations and embolic strokes. Given prohibitive surgical risk, he underwent successful percutaneous debulking using the AngioVac system via transseptal approach under transesophageal echocardiographic and fluoroscopic guidance. Long-term suppressive antibiotics were continued. At the 30-month follow-up, the valve was structurally intact with no evidence of recurrent endocarditis. DISCUSSION: This case highlights the utility of AngioVac debulking of left-sided prosthetic valve vegetations in nonsurgical candidates. Successful imaging-guided aspiration minimized embolic risk and preserved valve function. TAKE-HOME MESSAGE: Vacuum-assisted debulking with AngioVac via a transseptal approach is a viable option in high-risk patients with prosthetic mitral valve endocarditis, offering an alternative to reoperation.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.130
Threshold uncertainty score0.355

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 head0.009
GPT teacher head0.291
Teacher spread0.282 · 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 designCase report
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
Published2025
Admission routes1
Has abstractyes

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