Characteristics Associated With <scp>EuroLupus</scp> Versus Modified National Institutes of Health Cyclophosphamide Regimen Use in Children and Young Adults With Lupus Nephritis
Bibliographic record
Abstract
OBJECTIVE: To determine the demographic and clinical characteristics associated with use of the EuroLupus or modified National Institutes of Health (NIH) cyclophosphamide (CYC) regimen for treatment of lupus nephritis (LN) at North American pediatric centers. METHODS: A retrospective cohort study was conducted at 11 North American centers. Patients <22 years of age with active LN treated with CYC using the EuroLupus or NIH regimen between July 2014 and June 2021 were included. Data were extracted via electronic medical record review. Demographic and clinical characteristics were compared at CYC initiation. A multivariable generalized estimating equation with logit link was fit to model EuroLupus use. An exchangeable correlation structure was used to account for correlation within centers. Independent variables were chosen using elastic net regression. RESULTS: The cohort consisted of 191 patients (85 EuroLupus, 106 NIH) with a median age of 15.3 years at CYC initiation. In multivariable analysis, characteristics significantly associated with EuroLupus regimen use (vs NIH regimen use) included more recent year of CYC initiation, longer disease duration, Hispanic ethnicity and Asian race (as compared to Black), previous CYC treatment, renal impairment (dialysis or mild kidney impairment), and absence of neuropsychiatric involvement. CONCLUSION: For children and young adults with LN requiring CYC, use of the EuroLupus regimen increased over time and is associated with demographic and clinical factors such as race or Hispanic ethnicity, renal impairment, and absence of neuropsychiatric involvement. The differences in regimen use with severe renal impairment and neuropsychiatric lupus highlight areas for future study in CYC dosing.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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".