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Record W2982161938 · doi:10.1093/eurheartj/ehz747.0557

P963Coronary orbital atherectomy manufacturers and user facility device experience (MAUDE) database: a 5-year analysis of real-world complications

2019· article· en· W2982161938 on OpenAlexaff
Mohammed Saleh, Muhammad Junaid Ahsan, Noman Lateef, Mohamed Shokr, Hassan A. Badran, Mohamed Abdin Hassanin, Ahmed Aboeata

Bibliographic record

VenueEuropean Heart Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicCoronary Interventions and Diagnostics
Canadian institutionsToronto General Hospital
Fundersnot available
KeywordsMedicinePerforationSurgeryDatabaseAtherectomyComplicationStent

Abstract

fetched live from OpenAlex

Abstract Background Coronary Orbital Atherectomy System was approved by the United States FDA (food and Drug Administration) on October 21st, 2013. The initial safety data were published in the ORBIT I trial. Purpose Evaluation of the reported real-life complications related to utilization of orbital coronary atherectomy system since its approval in the United States using the online FDA database. Methods The Manufacturer and User facility Device Experience (MAUDE) database was queried for all complication reports involving the orbital atherectomy (OA) “Diamondback 360 coronary orbital atherectomy system” from 1/1/2013 through 12/31/2018. All reports were searched for complications; mortality, perforation, dissections, device fragmentation, and the need for surgical intervention among reported procedures. Duplicate entries and data with no reporting on final procedure outcome were excluded. Results Over the allocated interval519 reports were identified. Seven reports were excluded (according to exclusion criteria). Over the period of slightly more than five years, coronary perforation was the most commonly reported complication mounting to 44.14% of all the reports (226 reports). Device fragmentation was reported in 18.94% of the reports (97 reports). Surgery was needed to retrieve device fragments in 13 cases (13.4% of all device fragmentation reports). Coronary dissection represented 16.21% of the reports (83 reports) and total surgical interventions were needed in 14.25% of the cases (73 reports). Finally, total reported deaths were 121 cases (23.63% of the total reports). Year 2013 2014 2015 2016 2017 2018 Number of reported complications 4 28 46 81 113 247 Percentage of reported complications Discussion The current analysis, representing data from real world reported complications to the FDA over a period of 5 years, shows that the most common reported complication during coronary orbital atherectomy was coronary perforations, followed by device breakings and fragmentation (which necessitated surgical intervention in almost 13.4% of those device fragmentation cases reported). It is hard to compare these data with published safety trials since the FDA database is involved in reporting complications and not total number of procedures. However the most striking complication involved device fragmentation, which was not seen or reported among the pivotal trials evaluating device safety. The current analysis may shed some light on a non reported complication among patients undergoing orbital atherectomy which might represent a gap between the device performance in real world as opposed to a well-designed study world.

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)0.004
metaresearch head score (Gemma)0.023
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0100.011
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.051
GPT teacher head0.347
Teacher spread0.295 · 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
Published2019
Admission routes1
Has abstractyes

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