Soluble Fas is a marker of peripheral arterial occlusive disease in haemodialysis patients
Bibliographic record
Abstract
BACKGROUND: Peripheral arterial occlusive disease (PAOD) including lower-extremity and cerebrovascular atherosclerosis is a leading cause of morbidity in haemodialysis patients. Recent evidence suggests that the expression of Fas, a molecule implicated in the initiation of apoptosis in various cell types, is increased at sites of atherosclerotic plaques. However, the significance of plasma levels of the soluble form of Fas (sFas) as a marker of peripheral arterial disease has yet to be defined. METHODS: The present report is based on a cross-sectional analysis of baseline data from an ongoing prospective study designed to evaluate the role of sFas as marker of PAOD in end-stage renal disease (ESRD). We evaluated the association between sFas levels and evidence of PAOD in a cohort of 107 chronic haemodialysis patients. RESULTS: Compared with subjects without evidence of disease (n=56), subjects with PAOD (n=51) had significantly higher plasma levels of sFas (30.0+/-8.9 vs 26.4+/-9.5 ng/ml; P=0.04). Using multiple regression, sFas was found to be associated with PAOD independently of classical risk factors for atherosclerosis (hypercholesterolaemia, diabetes, hypertension, and smoking), markers of inflammation (e.g. C-reactive protein, intercellular cell adhesion molecule type 1), and other risk factors (e.g. age, gender). An increase of one quintile in the plasma concentration of sFas was associated with an odds ratio of PAOD of 1.69 (95% CI: 1.09--2.63, P=0.01). In addition, models that incorporated sFas were significantly better at predicting PAOD than models limited to classical risk factors for atherosclerosis, alone or in combination with CRP levels (P=0.01). CONCLUSIONS: Increased plasma levels of sFas are associated with established PAOD. These results suggest that sFas may represent a novel and independent marker of atherosclerosis.
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) | 0.001 | 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) | 0.003 | 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".