Effects of Baricitinib on Lipid, Apolipoprotein, and Lipoprotein Particle Profiles in a Phase IIb Study of Patients With Active Rheumatoid Arthritis
Bibliographic record
Abstract
OBJECTIVE: To assess the effects of baricitinib on lipid profiles in patients with moderate-to-severe rheumatoid arthritis. METHODS: Treatment with once-daily doses of baricitinib (1, 2, 4, or 8 mg) or placebo was studied in 301 randomized patients. Changes in lipid profile and lipoprotein particle size and particle number were assessed at weeks 12 and 24, and associations with clinical efficacy were evaluated. Apolipoproteins were assessed at weeks 4 and 12 in the placebo group and the 4-mg and 8-mg baricitinib groups. RESULTS: Treatment with baricitinib resulted in dose-dependent increases in serum lipid levels from baseline to week 12 (low-density lipoprotein [LDL] cholesterol increases of 3.4 mg/dl and 11.8 mg/dl in the 1 mg and 8 mg treatment groups, respectively; high-density lipoprotein [HDL] cholesterol increases of 3.3 mg/dl and 8.1 mg/dl, respectively; triglycerides increases of 6.4 mg/dl and 15.4 mg/dl, respectively). Group-wise mean increases in LDL cholesterol were coincident with mean increases in large LDL particles and mean reductions in small dense LDL particles. Increases from baseline to week 12 in apolipoprotein A-I, apolipoprotein B, and apolipoprotein CIII were observed with 4-mg doses of baricitinib (9.5%, 6.8%, and 23.0%, respectively) and with 8-mg doses (12.2%, 7.1%, and 19.7%, respectively), with no increase in LDL-associated apolipoprotein CIII (-4.5% with 4-mg baricitinib; -9.0% with 8-mg baricitinib). Baricitinib reduced HDL-associated serum amyloid A when administered at 4 mg (-36.0%) and 8 mg (-32.0%); a significant reduction in lipoprotein (a) was observed only with 8-mg doses (-16.6%). Increased HDL cholesterol at week 12 correlated with improved Disease Activity Scores and Simplified Disease Activity Index; changes in total cholesterol, LDL cholesterol, and triglycerides did not reveal a similar relationship. CONCLUSION: Baricitinib-associated increases in serum lipid levels were observed in this study. Increases in levels of HDL cholesterol correlated with improved clinical outcomes.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".