Longitudinal examination of lipid profiles in pediatric systemic lupus erythematosus
Bibliographic record
Abstract
OBJECTIVE: Lipid abnormalities in patients with systemic lupus erythematosus (SLE) are common and are likely to be one of the causes of premature atherosclerosis in these patients. This study was undertaken to serially examine the lipid profile in pediatric patients with SLE to determine the roles of active disease and therapy in altering lipid levels. METHODS: Serial lipid measurements were obtained in an inception cohort of 139 pediatric patients with SLE at the time of treatment with either a constant dose or differing doses of prednisone, and annually. The levels of cholesterol, triglycerides, low-density lipoprotein (LDL), and high-density lipoprotein (HDL) were correlated with measures of disease activity and prednisone dose. RESULTS: At the time of SLE diagnosis in this pediatric cohort, the mean values for all lipids were abnormal. With each reduction in prednisone dose, there was a statistically significant decrease in cholesterol and triglyceride levels (P < 0.001) but not HDL or LDL levels. Nephrotic-range proteinuria was associated with altered cholesterol, triglyceride, and LDL levels, whereas changes in HDL were more commonly associated with active nephritis. In the absence of nephrotic-range proteinuria, increases in prednisone dose were associated with increased levels of all lipids, including HDL. CONCLUSION: Active SLE leads to a proatherogenic lipid profile. Levels of cholesterol and LDL were mainly associated with the dose of prednisone, and were abnormal only during very high disease activity. Triglyceride levels were mainly associated with proteinuria, while changes in HDL were associated with active SLE and a high dose of prednisone. Our results suggest that the lipid profile in pediatric SLE is the result of a complex interaction of disease manifestations and the effects of prednisone therapy.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".