Changes in biomarkers of lipid in juvenile idiopathic arthritis and its association with various disease parameters: a 6-month follow-up study
Bibliographic record
Abstract
Background: The objectives of our study were to determine the changes in lipid profile (total cholesterol (TC), triglyceride (TG), high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C)) in juvenile idiopathic arthritis (JIA) and assess its association with epidemiological and clinical profile of JIA patients. Methods: This observational study was performed with 46 patients at presentation followed by 38 cases at 3 months and 18 cases at 6 months of follow up. Their demographic profile and clinical parameters including juvenile disease activity score (JADAS 27) were compared with the biomarkers of lipid profile. Results: The mean (SD) age was 105.85 (20.23) months at first visit with mean (SD) disease duration being 15 (6.4) months. Twenty-six participants had oligoarthritic (56.5%), while the rest had polyarthritis (43.4%). Most of the patients had borderline raised TG and LDL-C (cases with raised TG n=14 (30.4%), 12 (31.5%), 5 (27.7%) at 1st visit, 3 months, and 6 months respectively and LDL-C n=12 (26%), 10 (26.3%), 6 (33.3%) at 1stvisit, 3 months, and 6 months respectively). HDL-C level was low in 36 (78.2%) cases at first visit, 28 cases (73.6%) at 3 months and 12 cases (66.6%) at 6 months respectively. Lipid profile was significantly affected by gender difference, duration of disease and drug therapy (p<0.05). Significant association have been found between JADAS score and TGL level with p value 0.03. Conclusions: Children with JIA definitely suffer from dyslipidemia. Among the biomarkers of lipid profile, low level of HDL-C is one of the most important highlights of our study. Further studies can help to strengthen the findings and formulate necessary interventions at an early stage.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.000 | 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".