6.3 DETERMINING EARLY CARDIOVASCULAR RISK PROFILES IN PAEDIATRIC RHEUMATIC DISEASE
Bibliographic record
Abstract
Purpose: To investigate, longitudinally, whether increases in markers of inflammation (CRP, sICAM-1) and endothelial dysfunction (sICAM-1, sVCAM-1) are associated with and precede the increase in pulse pressure (PP) in individuals with type-1 diabetes (DM1).Methods: Inception cohort of 277 DM1 patients (114 women; mean age at diagnosis: 27.5 Æ 13.8 yrs) who were consecutively admitted, upon diagnosis, between Sep'79-Aug'84 to an outpatient diabetic clinic (Gentofte, Denmark).Throughout a follow-up period of >20 yrs, patients' PP, other risk factors, and CRP, sICAM-1 and sVCAM-1 were measured repeatedly (at 3-4 months intervals).Associations were analysed with generalized estimating equations (GEEs) and adjusted for sex, age at diagnosis, smoking, anti-hypertensive treatment and MAP.Results: PP increased by 0.53 mmHg/yr, CRP by 0.033 mg/L/yr, sICAM-1 by 1.8 ng/ml/yr and sVCAM-1 by 1.8 ng/ml/yr over the 20-yr longitudinal period (all p < 0.001).Higher levels of ln-CRP, sICAM-1 and sVCAM-1 were all significantly associated with higher levels of PP: 0.53 mmHg (95%CI: 0.05-1.00),1.09 mmHg (0.53-1.66) and 0.94 mmHg (0.40-1.48) per SD increase in marker, respectively.In addition, levels of sICAM-1 and sVCAM-1, but not ln-CRP, at any time point, were also associated with increases in PP occurring in the 2 yrs thereafter: 0.56 mmHg (0.18-0.94), 0.53 mmHg (0.17-0.90) and -0.01 mmHg (-0.38-0.35)per SD increase in marker, respectively.Adjustments for other risk factors did not change these associations.Conclusion: Life-course increases in low-grade inflammation/endothelial dysfunction are associated with and precede increases in PP, supporting the view of their involvement in the development of premature arterial stiffening in diabetes. 6.2
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".