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Evolocumab treatment reduces carotid intima-media thickness in paediatric patients with heterozygous familial hypercholesterolaemia

2022· article· en· W4306318910 on OpenAlexaff
Albert Wiegman, Andrea Ruzza, G.K. Hovingh, Raúl D. Santos, François Mach, C. Stefanutti, Ilse K. Luirink, Ian Bridges, B Wang, A.K. Bhatia, Frederick J. Raal, John J.P. Kastelein, D. Gaudet

Bibliographic record

VenueEuropean Heart Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsEvolocumabMedicineFamilial hypercholesterolemiaPlaceboIntima-media thicknessInternal medicinePCSK9CardiologyAlirocumabRandomized controlled trialStatinLipoproteinCholesterolCarotid arteriesPathologyLDL receptor

Abstract

fetched live from OpenAlex

Abstract Background Familial hypercholesterolemia (FH) is characterised by high plasma levels of low-density lipoprotein cholesterol (LDL-C) and increased risk of premature atherosclerotic cardiovascular disease (ASCVD). Previous studies show that carotid intima-media thickness (cIMT) is increased in children with FH, an indicator of early ASCVD. Add-on treatment with the proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitor, evolocumab, substantially reduced atherosclerotic lipid levels in children with heterozygous FH (HeFH) and was safe and well tolerated. The effect of evolocumab on cIMT in paediatric patients (pts) has not been investigated. Purpose To investigate the effect of evolocumab treatment on cIMT progression in paediatric pts with HeFH. Methods HAUSER-RCT was a multicenter, randomised, placebo-controlled study in which paediatric FH pts (ages 10–17 years) received monthly subcutaneous injections of evolocumab 420 mg or placebo. Of 157 pts, 150 continued to an open-label extension study (HAUSER-OLE) during which all received up to 80 weeks of monthly evolocumab 420 mg on top of stable background statin therapy. cIMT was measured by B-mode ultrasound scanning at baseline, week 24 of the RCT, and weeks 24, 48, and 80 of the OLE. cIMT was measured on anterior, lateral, and posterior imaging angles of the right and left common carotid artery. Mean thickness at each visit and mean changes from baseline were summarised by treatment received during the RCT and artery location. In addition, the largest measurements (anterior, lateral, or posterior) from a patient's left and right carotid artery were averaged to calculate a summary score. Results Mean baseline cIMT summary score was 0.568 mm (SD=0.06) for 46 placebo pts and 0.586 mm (SD=0.06) for 82 evolocumab pts. During the RCT, 37 placebo pts had a mean increase of 0.006 mm (SD=0.05) from baseline to week 24; in contrast, 76 evolocumab pts had a mean decrease of 0.003 mm (SD=0.05). Although this treatment group difference was not statistically significant (P=0.403), the pattern of increased cIMT for placebo and decreased cIMT for evolocumab was consistent across artery locations (Table). During the OLE, for pts who initially received placebo, mean cIMT summary score decreased by 0.019 mm (SD=0.04, n=34) from baseline to week 80 (P=0.007) (Figure). Pts who received evolocumab in both the RCT and OLE showed continued improvement during the OLE; at week 80, mean cIMT summary score decreased by 0.012 mm (SD=0.05, n=59) from baseline (P=0.067). For all pts at week 80 (n=128), the mean decrease in LDL-C from baseline was 35.3% (SD=28.0). Conclusions Open-label evolocumab treatment for up to 80 weeks led to reductions in mean cIMT. In this small sample of pts with FH, the data suggest that the addition of PCSK9 inhibition to background lipid-lowering therapy has the potential to reduce the risk of ASCVD progression and future cardiovascular events in this vulnerable paediatric population. Funding Acknowledgement Type of funding sources: Private company. Main funding source(s): Amgen, Inc.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.020
GPT teacher head0.249
Teacher spread0.229 · 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".

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Citations3
Published2022
Admission routes1
Has abstractyes

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