Complications of Carotid Artery Stenting: A Real-World Cohort Study in Canada before and during the COVID-19 Pandemic
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Although carotid endarterectomy (CEA) or carotid artery stenting (CAS) is recommended for symptomatic extracranial carotid stenosis of 50-99%, the COVID-19 pandemic significantly impacted resources. CAS therefore offered potential advantages as access to the angiosuite was seemingly easier than access to operating rooms. The primary objective was to determine the frequency of serious and non-serious complications following CAS before and during the COVID-19 pandemic. METHODS: We performed a retrospective cohort study of consecutive patients who received CAS at the Ottawa Hospital, Canada, from June 2019 to May 2021. We reviewed baseline demographics, imaging, as well as intraprocedural and postprocedural complications based on chart review. We performed multivariable logistic regression to determine associations between clinical and safety outcomes. RESULTS: = 0.962 for sex, respectively). The combined rate of intraprocedural and postprocedural serious complications (ischemic stroke, intracerebral hemorrhage, myocardial infarction or death) was 7.1%. Eight strokes occurred, and one patient with a postprocedural ischemic stroke died 11 days after stenting. Complication rates were similar before and during the pandemic (aOR 1.040, 95% CI 0.466-2.321). The number of referrals for CEA during the pandemic period decreased by 50%. CONCLUSION: In this cohort of consecutive patients undergoing CAS at a Canadian comprehensive stroke center before and during the COVID-19 pandemic, the rates of stroke and death were similar to pre-pandemic conditions and were generally consistent with the published literature.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".