Comparison of Model‐Predicted and Observed Evinacumab Pharmacokinetics and Efficacy in Children Aged < 5 Years With Homozygous Familial Hypercholesterolemia
Bibliographic record
Abstract
Evinacumab, an angiopoietin-like 3 inhibitor, significantly reduces low-density lipoprotein cholesterol (LDL-C) in patients with homozygous familial hypercholesterolemia (HoFH). Herein, we report pharmacokinetic and efficacy analyses of evinacumab in < 5-year-old patients with HoFH. Population pharmacometric models characterizing evinacumab exposure and LDL-C response accounting for lipoprotein apheresis effect in ≥ 5-year-old patients were adapted for growth and maturation to predict and compare evinacumab and LDL-C concentrations across age/weight groups in virtual ≥ 6-month-old patients receiving 15 mg/kg evinacumab intravenous (iv) infusions every 4 weeks (q4w). As expected from allometric theory, weight-based dosing resulted in decreasing evinacumab exposures with declining body weight. Consistent with trends observed in > 5-year-old patients, the predicted percent change from LDL-C baseline (%∆LDL-C) was generally comparable or even higher in < 5-year-old patients (63.0%-68.5%) than in 5- to < 18-year-old patients (61.3%-67.8%) or adults (51.7%), with the predicted percentages of patients achieving %∆LDL-C > 50% also higher in < 5-year-old patients (82.0%-86.9%) versus 5- to < 18-year-old patients (72.0%-84.5%) and adults (54.8%). Through a managed access program, six 1- to < 5-year-old patients received between 5 and 23 iv infusions of 15 mg/kg evinacumab q4w. Rapid and clinically meaningful LDL-C reductions were observed, with %∆LDL-C at the last reported dose ranging from 41.3% to 77.3%. Based on the actual patient dosing and plasmapheresis history, model-predicted evinacumab and LDL-C concentrations were comparable to the observed data collected in the managed access program. Overall, this analysis provides evidence for the use of evinacumab 15 mg/kg iv q4w dosing regimen in 6-month-old to 5-year-old patients.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".