Radial artery pseudoaneurysms after transradial cardiac catheterisation
Bibliographic record
Abstract
BACKGROUND: Although uncommon, radial artery access site complications are likely to become more frequent with the increased adoption of transradial cardiac catheterisation. There is a lack of data regarding the incidence and clinical features of radial artery pseudoaneuryms. We aimed to describe the incidence, clinical features and management of radial artery pseudoaneurysms in a high-volume transradial cardiac catheterisation centre. PATIENTS AND METHODS: We performed a search of the Vancouver Island Health Authority medical imaging database from 1st Jan 2008 to April 2012 looking for all radial and femoral artery pseudoaneuryms occurring after cardiac catheterisation. Hospital charts were reviewed to determine patient and procedural characteristics as well as management and outcome. RESULTS: There were a total of 14,968 coronary procedures performed over the four year search period, of which 13,216 (88%) were trans-radial. The incidence of radial artery pseudoaneurysm after cardiac catheterisation was 0.08%, and did not differ between transradial diagnostic angiography and PCI (0.07% vs 0.08%; P = 0.90). In contrast, the incidence of femoral artery pseudoaneurysm was higher, at 1.4% (P < 0.0001). Patients with radial pseudoaneurysms were generally elderly, with a median age of 77 years, and there were no gender differences. Only one patient had received a glycoprotein IIb/IIIa inhibitor, whilst two received warfarin post-procedure. The majority of cases (80%) were treated with surgical repair. CONCLUSIONS: We have demonstrated that radial artery pseudoaneuryms are a rare but important complication of transradial cardiac catheterisation, with patients generally requiring surgical repair. Most patients were elderly, but surprisingly only a minority were anti-coagulated with warfarin.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".