Levels of inflammatory markers and the development of the post-thrombotic syndrome
Bibliographic record
Abstract
The post-thrombotic syndrome (PTS) occurs frequently after deep venous thrombosis (DVT) despite appropriate anticoagulant therapy. A close relationship between inflammation and thrombosis exists. While the inflammatory process at the time of DVT appears to improve thrombus resolution, it may promote destruction of venous valves, valvular reflux and subsequent development of PTS. We prospectively evaluated the association between levels of four cytokines (IL-6, IL-8, IL-10 and MCP-1), two adhesion molecules (ICAM-1 and VCAM-1) and the development of PTS in a well-defined cohort of patients with DVT. The study population consisted of 387 patients with objectively diagnosed symptomatic DVT who were followed for two years to determine the incidence of PTS. At the end of followup, plasma samples frozen at the four-month visit in 307 study patients were thawed and analyzed for the above inflammatory markers using the Luminex beads technology. Mean levels of IL-6 were significantly higher in patients with PTS compared to patients without PTS (7.35 pg/ml +/- 14.26 [SD] vs. 4.60 pg/ml +/- 4.90; p = 0.03). Logistic regression analyses showed significant associations between PTS and levels above vs. below the median of IL-6 [odds ratio (OR) 1.66; 95% confidence interval (CI) 1.05, 2.62 (p = 0.03)] and ICAM-1 [OR 1.63; 95% CI 1.03, 2.58 (p = 0.04)]. None of the other markers showed any association with PTS. Our study suggests the presence of significant associations between markers of inflammation such as IL-6 and ICAM-1 and the development of PTS. Further work is needed to evaluate this relationship and to analyse other candidate markers that could be implicated etiologically in the association between DVT and PTS. If confirmed, this could lead to identification of new therapeutic targets for preventing PTS after DVT.
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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 | 0.001 | 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 | 0.001 |
| 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".