Abstract 11518: Incidence of Peripheral Arterial Disease in Patients With Coronary Artery Disease Following Cardiac Catheterization: A Prospective Observational Study
Bibliographic record
Abstract
Introduction: Peripheral arterial disease (PAD) is a common vascular condition affecting roughly 800,000 Canadians annually with up to 50% being asymptomatic. As such, PAD is underdiagnosed and undertreated, despite being an independent predictor of cardiovascular (CV) risk. Moreover, PAD is commonly seen in patients with coronary artery disease (CAD) due to their shared atherosclerotic pathophysiology. Our aim was to gain a better understanding of the incidence and symptomatology of PAD in patients with established CAD on coronary angiography. Methods: Prospective subjects with CAD demonstrated on coronary angiography were immediately screened for PAD at the Mazankowski Alberta Heart Institute Cardiac Catheterization Laboratory. Following consent, a bedside ankle-brachial-index (ABI) (Microlife WatchBP Office ABI) was performed and the Edinburgh Claudication Questionnaire (ECQ) (validated for PAD) was administered. PAD was defined as an ABI≤0.90. Results: We recruited 100 patients (67.5 age ± 9.5 years, 18.0% female) between June 2021 to April 2022. Eighteen subjects (18.0%) had PAD as demonstrated by an abnormal ABI. In those with diabetes (n=34), PAD was more frequent (26.5% vs. 14.1%, p=0.068). Kappa agreement between ECQ and ABI was 0.32. Conclusions: In a prospective cohort of angiographically confirmed CAD patients, one-quarter had ABI confirmed PAD (even more common in diabetics). The ECQ provided modest agreement with ABI suggesting many of these subjects are asymptomatic. ABI can be used as a simple non-invasive tool at the bedside following cardiac catheterization to screen for PAD which has implications on subsequent guideline-directed medical therapy.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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".