Insights From the FDA’s MAUDE Database Regarding the Real-World Safety of Jetstream Atherectomy for Peripheral Arterial Disease
Bibliographic record
Abstract
INTRODUCTION: Rotational atherectomy has shown promise as an adjunctive therapy to percutaneous transluminal angioplasty (PTA) and stenting for the treatment of peripheral arterial disease (PAD). However, published data regarding the safety of these devices are limited. The Food and Drug Administration Manufacturer and User Facility Device Experience (MAUDE) database collects reports of adverse event for medical devices. We present 3 years of MAUDE adverse events data for the Jetstream Atherectomy System (Boston Scientific) for the treatment of PAD. MATERIALS AND METHODS: We searched MAUDE from January 1, 2019 to December 31, 2021. Duplicate reports and those with insufficient information were excluded, leaving a total of 500 reports for analysis. Adverse events were categorized as either patient complication, device malfunction, or both. Adverse events were classified using the Cardiovascular and Interventional Radiological Society of Europe's (CIRSE) classification system for adverse events. RESULTS: The most common patient complications were embolism (22; 4.4%), dissection (17; 3.4%), vessel perforation (12; 2.4%), and device fracture in the patient (6; 1.2%). The most common modes of device failure were entrapment of the device on the guidewire (134; 27%), loss of blade rotation (116; 23%), loss of aspiration (99; 20%), and mechanical damage (57; 11%). As per the CIRSE adverse events classification, most events had no post-procedural sequelae (475; 95%), followed by those requiring prolonged observation (14; 2.8%), and post-procedural therapy without long-term sequelae (10; 2.0%). One hundred six devices (21%) were returned for manufacturer analysis. CONCLUSION: We highlight important adverse events encountered in real-world practice with the Jetstream Atherectomy System. This analysis provides further understanding of the safety profile and modes of failure of Jetstream, and could help guide improvements in product design and manufacturer-user training. There is greater need for root-cause analysis that can aided by returning devices to the manufacturer.Clinical ImpactWe highlight important adverse events encountered in real-world practice with the Jetstream Atherectomy System. The MAUDE database is useful for capturing and characterizing modes of device failure/malfunction not typically described in conventional clinical studies. This may provide valuable information to help guide improvements in product design and manufacturer-user training. This information could also potentially be useful in helping establish manufacturer and product liability in the setting of medicolegal claims. We hope that by contributing to the growing understanding of the safety profile of the Jetstream Atherectomy System, our study may help physicians and patients come to more informed decisions regarding treatment options for PAD.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".