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 AE 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.
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 | 0.010 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".