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Record W4403122104 · doi:10.1016/j.ajpc.2024.100801

LONG-TERM EFFICACY OF EVINACUMAB IN PATIENTS WITH HOMOZYGOUS FAMILIAL HYPERCHOLESTEROLEMIA: RESULTS FROM SUBGROUP ANALYSES

2024· article· en· W4403122104 on OpenAlexaff
Daniel Gaudet

Bibliographic record

VenueAmerican Journal of Preventive Cardiology · 2024
Typearticle
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsUniversité du Québec à Chicoutimi
Fundersnot available
KeywordsFamilial hypercholesterolemiaTerm (time)MedicineSubgroup analysisInternal medicinePediatricsOncologyPhysicsCholesterolMeta-analysis

Abstract

fetched live from OpenAlex

Pharmacologic Therapy Homozygous familial hypercholesterolemia (HoFH) is a rare genetic disorder characterized by severely elevated low-density lipoprotein cholesterol (LDL-C) and increased risk of early-onset atherosclerotic cardiovascular disease. Despite treatment with multiple lipid-lowering therapies (LLTs), most patients with HoFH do not attain guideline-recommended LDL-C treatment goals. In a phase 3 trial (NCT03409744), evinacumab, an angiopoietin-like 3 inhibitor, substantially reduced mean LDL-C by 43.6% from baseline to Week 24. Here, we report on the long-term LDL-C lowering efficacy of evinacumab analyzed by patient subgroups from the open-label treatment period (OLTP) of this phase 3 trial. This single-arm, open-label, phase 3 study (NCT03409744) comprised patients with HoFH aged ≥12 years who were evinacumab-naïve or had previously received evinacumab in other trials. The study included a run-in period (≤10 weeks), a screening period (2 weeks), an OLTP (≤192 weeks), and a follow-up period (24 weeks). In the OLTP, all patients received intravenous evinacumab 15 mg/kg every 4 weeks alongside optimized LLT. Overall, 116 patients were enrolled with a mean (standard deviation [SD]) age of 38.8 (15.9) years. The proportion of male and female patients was similar (50.9% vs 49.1%, respectively). Most patients were White (69.0%) or Asian (10.3%). At baseline, mean (SD) LDL-C was 261.0 (160.1) mg/dL. Evinacumab reduced mean (SD) LDL-C from baseline to Week 96 by 57.6% (16.7%), 36.4% (54.6%), and 38.0% (52.9%) in patients <18 years of age, patients ≥18 years of age, and overall, respectively. Among female and male patients, mean (SD) LDL-C reduction from baseline to Week 96 was 48.8% (32.3%) and 30.5% (62.6%), respectively. Mean (SD) LDL-C reduction from baseline to Week 96 was 43.1% (36.9%) in patients with null-null variants in either the low-density lipoprotein receptor (LDLR) gene or the low-density lipoprotein receptor adapter protein 1 (LDLRAP1) gene; mean (SD) LDL-C reduction was 35.1% (62.4%) in patients with non-null variants in LDLR or LDLRAP1. From baseline to Week 96, reductions in LDL-C with evinacumab were observed irrespective of background LLT (Figure). In patients with HoFH, evinacumab showed substantial and sustained LDL-C reduction irrespective of age, sex, LDLR genotype, and background LLT.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.007
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.016
GPT teacher head0.309
Teacher spread0.293 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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