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Record W4412610351 · doi:10.1016/j.jaccas.2025.104156

Transbrachial Catheter-Assisted Thrombolysis and Bailout Stenting for Massive Postoperative Pulmonary Embolism

2025· article· en· W4412610351 on OpenAlexaff
Safia Ouarrak, Tomas Cieza, Guylaine Gleeton, Andres Rhul, Paola Ulacia Flores, Jocelyn Grégoire, Zoltán Ruzsa, Olivier F. Bertrand

Bibliographic record

VenueJACC Case Reports · 2025
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsMontreal Heart Institute
Fundersnot available
KeywordsBailoutThrombolysisPulmonary embolismMedicineCardiologyInternal medicineCatheterRadiologyEconomics

Abstract

fetched live from OpenAlex

BACKGROUND: A 61-year-old patient developed acute dyspnea and hypoxemia 72 hours after open lung lobectomy. An urgent computed tomography angiography revealed an acute pulmonary embolism with complete left pulmonary artery occlusion. CASE SUMMARY: The patient was referred for urgent catheterization by a multidisciplinary team due to bleeding risks. Using right transbrachial access, the left pulmonary artery was recanalized. After balloon angioplasty, intravascular imaging guided the optimal placement of a stent to resolve vessel recoil. Local low-dose thrombolysis was initiated after partial reopening. After 24 hours, control angiography showed significant improvement in pulmonary artery perfusion. DISCUSSION: To our knowledge, this is the first reported case of using a coronary stent with local thrombolysis via brachial access to treat acute pulmonary embolism. The procedure successfully restored vessel patency with no complications. This case emphasizes the potential of catheter-based interventions, especially when intravenous thrombolysis is contraindicated. TAKE-HOME MESSAGE: Innovative catheter-based interventions with stenting and local thrombolysis via transbrachial approach may offer a valuable option for managing acute pulmonary embolism in select patients.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.481
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.016
GPT teacher head0.291
Teacher spread0.275 · 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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