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Record W4415356549 · doi:10.1510/mmcts.2025.122

Surgical repair of ruptured sinus of Valsalva aneurysm with aorto-mitral destruction

2025· article· en· W4415356549 on OpenAlexaff
Mathieu Rheault-Henry, Wenteng Hou, Brandon Loshusan, Linrui Guo

Bibliographic record

VenueMultimedia Manual of Cardio-Thoracic Surgery · 2025
Typearticle
Languageen
FieldMedicine
TopicCoronary Artery Anomalies
Canadian institutionsWestern University
Fundersnot available
KeywordsSinus (botany)AneurysmPseudoaneurysmVentriclePerforationMitral valveCoronary sinusAortic sinus

Abstract

fetched live from OpenAlex

Sinus of Valsalva aneurysms are rare cardiac anomalies with life-threatening potential when ruptured. While most arise from the right coronary sinus and rupture into right-sided chambers, left-sided ruptures are exceptionally uncommon and surgically challenging. We report a 57-year-old male with multiple comorbidities and newly diagnosed stage 4 follicular lymphoma who presented with New York Heart Association class IV heart failure. Imaging revealed a large pseudoaneurysm of the left sinus of Valsalva with perforation into the left atrium and ventricle, disruption of the aorto-mitral curtain, and severe mitral regurgitation. A multidisciplinary team recommended surgery prior to chemotherapy. The operation included a mitral valve repair with autologous pericardial patch, reconstruction of the aorto-mitral curtain, aortic valve replacement, and ascending aortic replacement with a Dacron graft. Post-operatively, the patient developed tamponade, bacteraemia and required prolonged intensive care, but ultimately stabilized and proceeded with lymphoma therapy, and is currently doing well. This case highlights the rarity and complexity of left-sided sinus of Valsalva aneurysm rupture involving multiple cardiac structures. Definitive surgical repair remains the gold standard, and a multidisciplinary approach is essential in optimizing outcomes for high-risk patients with significant comorbidities.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
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 head0.299
Teacher spread0.283 · 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.

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
Published2025
Admission routes1
Has abstractyes

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