MPS 03-09 INFLAMMATION AND SEVERITY OF CAROTID ATHEROSCLEROSIS IN METABOLIC SYNDROME
Bibliographic record
Abstract
Objective: A relationship between degree of carotid atherosclerosis and inflammation is poorly defined. Inflammatory markers and carotid intima-media thickness at various levels were studied in patients with Metabolic Syndrome to determine a correlation between the two. Design and Method: In a cross-sectional, prospective study, 50 patients of Metabolic Syndrome (MS) were studied after a written and informed consent. After recording the anthropometric measurements, carotid intima media thickness was measured at right common, bulb and internal carotid arteries using high resolution B-mode ultrasonography. After an overnight fasting of 12 hours, blood samples were drawn for estimation of glucose, lipid profile, creatinine, hsCRP (Diagnostic Biochem, Canada Inc,) and TNF-α (OptEIATM). Results: 50 patients (mean age 45+ 7 years, 90% hypertensive- mean duration 3 years, 75% on antihypertensive drugs, 28% on statins, mean SBP 143 mmHg and mean DBP 87 mmHg) were analyzed. Mean waist circumference was 103 cm, and mean BMI was 29.7 kg/m2. The mean hsCRP was 59.31 mg/L + 45.53 mg/L and mean TNF-α levels were 60.03 pg/ml +124 pg/ml. The average IMT was 0.061 cm + 0.123 cm. Average IMT had a positive correlation with the duration of hypertension (p < 0.05). There was a positive correlation between hsCRP and CIMT at CCA, Bulb and Average IMT (p < 0.01), using Pearson's correlation coefficient. There was no correlation of TNF-α level with CIMT. hsCRP and TNF-α levels also did not correlate significantly with demographic variables or anthropometric variables required to fulfill a diagnosis of MS. Conclusions: The present study has shown that there was a significant correlation between inflammation and severity of carotid atherosclerosis, in subjects with MS with well controlled hypertension. A significant inflammation occurs in patients with MS.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".