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Longer-term safety of alirocumab with 24,610 patient-years of placebo-controlled observation: further insights from the ODYSSEY OUTCOMES trial

2022· article· en· W4306252831 on OpenAlexaff
Shaun G. Goodman, Philippe Gabríel Steg, Michael Szarek, Deepak L. Bhatt, Vera Bittner, Raphael Diaz, Robert A. Harrington, J. Wouter Jukema, HD White, Andreas M. Zeiher, Garen Manvelian, Y Poulouin, Michel Scemama, Wanda Stipek, Gregory G. Schwartz

Bibliographic record

VenueEuropean Heart Journal · 2022
Typearticle
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsCanadian VIGOUR CentreUniversity of Alberta
Fundersnot available
KeywordsAlirocumabMedicinePCSK9Internal medicinePost-hoc analysisUnstable anginaPlaceboMyocardial infarctionMaceEvolocumabAcute coronary syndromeCholesterolLipoproteinPercutaneous coronary intervention

Abstract

fetched live from OpenAlex

Abstract Background In the ODYSSEY OUTCOMES trial (NCT01663402), alirocumab, a monoclonal antibody to proprotein convertase subtilisin/kexin type 9 (PCSK9), lowered low-density lipoprotein cholesterol from ∼2.3 mmol/L to ∼1.0 mmol/L at 4 months, reduced the risk of major adverse cardiovascular events (MACE: coronary heart disease death, nonfatal myocardial infarction, fatal/nonfatal ischemic stroke, unstable angina requiring hospitalization), and was associated with fewer deaths compared with placebo in 18924 patients (pts) with recent acute coronary syndrome followed for up to 5 years (yrs). Purpose In the ODYSSEY OUTCOMES trial, the overall safety of alirocumab and placebo was similar, except for an excess of local injection-site reactions with alirocumab. However, the safety among pts eligible for longer follow-up has not been fully explored. Methods The present post hoc analyses describe the efficacy and safety of alirocumab in a pre-specified subgroup (for efficacy) of pts eligible for a minimum of 3 and up to 5 yrs of follow-up. Results There were 8242 pts (43.5%) eligible for ≥3 yrs follow-up, of whom 8228 received at least one dose of study medication, comprising 24,610 pt-years of observation with a median follow-up of 3.3 yrs; 6651 pts were eligible for 3 up to 4 yrs, and 1574 patients were eligible for 4–5 yrs, follow-up. As previously reported in a pre-specified analysis of this subgroup, alirocumab significantly reduced death (4.7% vs. 5.9%; p=0.01) compared with placebo. In the present post hoc analysis, alirocumab also significantly reduced MACE vs. placebo (12.0% vs. 14.2%; Hazard Ratio 0.83 [95% CI 0.74 to 0.94]; p=0.003). In a safety analysis, 3217 (78.3%) vs. 3303 (80.2%) pts in the alirocumab vs. placebo group had at least one adverse event (AE) of whom 27.5% vs. 29.4% had a serious AE (Fig. 1). The frequency of permanent discontinuation of study drug due to AEs, incident diabetes, diabetes worsening or complications, neurocognitive events, elevations of ALT>3, AST>3, bilirubin>2, and creatine phosphokinase>10 times the upper limit of normal, were similar with alirocumab vs. placebo (Fig. 1). While pt-reported local injection-site reactions occurred more frequently with alirocumab, the Kaplan-Meier cumulative incidence for time to first local injection site reaction in the longer-term follow-up subgroup was <5% over ∼4 yrs, with most occurring within the first 6 months (Fig. 2). Conclusions In an 8228-pt subgroup of the ODYSSEY OUTCOMES trial eligible for at least 3, and up to 5 yrs follow-up, the safety of alirocumab was similar to placebo except for an excess of local injection site reactions. This subgroup also derived significant benefit from reduced MACE and death. Thus, alirocumab appears to be both a safe and effective lipid-modifying treatment when used for up to 5 yrs. Funding Acknowledgement Type of funding sources: Private company. Main funding source(s): Sanofi and Regeneron

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)0.014
metaresearch head score (Gemma)0.013
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.030
GPT teacher head0.255
Teacher spread0.225 · 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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Citations2
Published2022
Admission routes1
Has abstractyes

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