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Record W4387380292 · doi:10.1210/jendso/bvad114.673

OR24-02 Case Series Of Canadian Patients With Homozygous Familial Hypercholesterolemia Treated With ANGPTL3 Inhibitor Evinacumab

2023· article· en· W4387380292 on OpenAlexaffabout
Isabel Shamsudeen, Brian W. McCrindle, Robert A. Hegele

Bibliographic record

VenueJournal of the Endocrine Society · 2023
Typearticle
Languageen
FieldMedicine
TopicLipid metabolism and disorders
Canadian institutionsUniversity of TorontoWestern University
Fundersnot available
KeywordsMedicineFamilial hypercholesterolemiaApheresisAtherosclerotic cardiovascular diseaseInternal medicinePediatricsCholesterolDiseasePlatelet

Abstract

fetched live from OpenAlex

Abstract Disclosure: I. Shamsudeen: None. B.W. McCrindle: Consulting Fee; Self; Jansen Pharmaceuticals, Amryt, Ultragenyx, Chiesi, Esperion. R.A. Hegele: Advisory Board Member; Self; Amgen Inc, HLS Pharmaceuticals, Novartis Pharmaceuticals. Consulting Fee; Self; Akcea Therapeutics, Ultragenyx, Medison, Acasti, Amgen Inc, Novartis Pharmaceuticals, Amryt, Amgen Inc, Pfizer, Inc., Arrowhead, Sanofi, HLS Pharmaceuticals, Regeneron Pharmaceuticals. Background: Homozygous familial hypercholesterolemia (HoFH) is an ultrarare, life-threatening condition characterized by markedly elevated levels of low-density lipoprotein cholesterol (LDL-C) due to biallelic LDL receptor variants. Patients have an increased risk of premature atherosclerotic cardiovascular disease (ASCVD). Traditional lipid-lowering agents are minimally effective and the gold standard treatment is serial apheresis. Recently, an angiopoietin-like protein 3 (ANGPTL3) inhibitor, evinacumab, was introduced as a promising new treatment for HoFH. It was FDA-approved in 2021, but is currently available in Canada only through clinical trials or special access programs. Case Presentations: The first five Canadian HoFH patients to receive evinacumab via special access are presented. Their mean age is 24.6 years (SD = 13.9). As of December 2022, they have received evinacumab 15 mg/kg intravenously every four weeks for a mean of 12.2 months (SD = 11.3). Their mean incremental LDL-C reduction is 49.4% (SD = 8.9) on evinacumab along with reduced apheresis frequency for those on serial apheresis. Safety labs for all patients are normal. Brief case summaries are as follows: (a) Patient A is a 36-year-old man with severe ASCVD who has been on evinacumab for 30 months, in addition to a statin, ezetimibe, evolocumab and LDL-apheresis. His time-averaged LDL-C has decreased by 46.2%, from 4.76 to 2.56 mmol/L (184 to 99 mg/dL), on evinacumab. (b) Patient B is a 17-year-old male with elevated LDL-C levels despite being on a statin, ezetimibe and LDL-apheresis. After 14 months on evinacumab, his time-averaged LDL-C reduced by 40.3%, from 8.75 to 5.22 mmol/L (338 to 202 mg/dL). (c) Patient C is a 30-year-old woman with ASCVD and xanthomas on a statin and ezetimibe, but not apheresis. She has been on evinacumab for 12 months with a 57.7% reduction in LDL-C, from 11.43 to 4.83 mmol/L (442 to 187 mg/dL). (d) Patient D is a 36-year-old man with ASCVD on a statin, ezetimibe, evolocumab and lomitapide in addition to plasmapheresis. He started evinacumab 2 months ago and has already had a 42.6% decrease in time-averaged LDL-C, from 4.34 to 2.49 mmol/L (168 to 96 mg/dL). (e) Patient E is a 4-year-old boy with HoFH and xanthomas on a statin, ezetimibe and plasmapheresis. After 3 months of treatment with evinacumab, his time-averaged LDL-C decreased by 59.9%, from 9.45 to 3.79 mmol/L (365 to 147 mg/dL). Concurrently, he has developed unexplained intermittent abdominal pain, with temporary suspension of evinacumab pending further assessment. Discussion: Five HoFH patients with distinctive histories, baseline treatments and ASCVD have all shown marked improvement in LDL-C levels with a mean reduction of 49.4% on evinacumab on top of existing therapy. Overall, observations from our case series suggest that evinacumab is an effective new treatment for HoFH, a life-threatening condition with few therapeutic options. Presentation: Saturday, June 17, 2023

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.076
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.219
Teacher spread0.209 · 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 teacher head, 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".

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Citations1
Published2023
Admission routes2
Has abstractyes

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