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Record W4412098592 · doi:10.1002/ccd.31734

Management of Lost Atherectomy Devices in the Coronary Arteries

2025· article· en· W4412098592 on OpenAlexaff
Gregor Leibundgut, Alexandru Achim, Daniel Weilenmann, Johannes Rigger, Fabian Gocht, Mohaned Egred, Bilal Murad, William Lombardi, Mohammad Iqbal

Bibliographic record

VenueCatheterization and Cardiovascular Interventions · 2025
Typearticle
Languageen
FieldMedicine
TopicCoronary Interventions and Diagnostics
Canadian institutionsRoyal Jubilee Hospital
Fundersnot available
KeywordsAtherectomyMedicineComplicationCoronary arteriesPercutaneousSurgeryCardiologyRadiologyStentArteryRestenosis

Abstract

fetched live from OpenAlex

Rotational and orbital atherectomy are important tools to treat calcific coronary disease. Entrapment of an atherectomy device, that is, rotational atherectomy burr or orbital atherectomy crown, is a serious complication during atherectomy. Loss of an atherectomy device is a more challenging complication that usually follows device entrapment. Although uncommon, given the increased adoption of atherectomy, it is important for interventional cardiologist to understand the mechanisms and principles for prevention and management of lost atherectomy devices. Given the paucity of reported cases, there is no clear consensus or defined approach as to how this complication is best managed. The current recommendations for burr/crown entrapment are generally to remove everything from the coronary vasculature and range from different percutaneous strategies and ultimately cardiac surgery. Conservative treatment with leaving the burr within the coronary vasculature has not been recommended. This article serves to review and provide a contemporary update on the management of lost atherectomy devices in the coronary arteries. We review the management and techniques centered around cases of lost atherectomy devices including a unique cohort of patients with lost burrs/crowns that were left in the coronary arteries. Finally, we provide an algorithmic approach to the contemporary management of lost atherectomy devices, incorporating a conservative strategy arm, and discuss situations where this may be considered.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.539
Threshold uncertainty score0.257

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
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 head0.021
GPT teacher head0.293
Teacher spread0.272 · 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 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

Citations1
Published2025
Admission routes1
Has abstractyes

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