Impaired brachial artery endothelium dependent flow mediated dilation in systemic lupus erythematosus: preliminary observations
Bibliographic record
Abstract
Our objective was to compare brachial artery endothelium dependent and independent vasodilation in lupus patients and healthy females, by means of high-resolution noninvasive brachial artery ultrasound. Endothelially mediated vasodilation was estimated noninvasively by examination of brachial artery responses to postischemic reactive hyperemia and endothelial independent vasodilation from response to sublingual glycerlynitrate (GTN) using high-resolution external vascular ultrasound. Five patients with known coronary artery disease (CAD), five with subclinical CAD, five with no CAD and five control subjects were assessed. Endothelium dependent vasodilation was significantly blunted in lupus patients with CAD as compared with healthy female controls (0.11 versus 11.1%, P = 0.018). Corresponding values for lupus patients with subclinical CAD and no CAD were 11 and 9.6%, respectively. For each subject, endothelium dependent vasodilation (EDV) was related to endothelium independent vasodilation (EIV) to adjust for varying vascular smooth muscle responses to GTN in individual subjects. This ratio was markedly depressed in lupus patients with CAD as compared with control subjects (0.12 versus 1.15). The corresponding EDV/EIV ratios for patients with subclinical CAD and no CAD were similar at 0.69 and 0.65, respectively. The conclusion was that flow mediated vasodilation in lupus patients with coronary artery disease is markedly depressed as compared to healthy subjects.
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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 | 0.002 |
| 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) | 0.001 | 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".