PCSK9 inhibition
Mass, molar and mass-spectrometry Lp(a) assays predict cardiovascular risk and alirocumab benefit equally in 11,970 ODYSSEY OUTCOMES patients (Circulation 2024)
Original title: Relating Lipoprotein(a) Concentrations to Cardiovascular Event Risk After Acute Coronary Syndrome: A Comparison of 3 Tests
In a prespecified analysis of the ODYSSEY OUTCOMES trial (11,970 patients with recent acute coronary syndrome comparing alirocumab with placebo), Lp(a) measured by a mass immunoassay, a molar immunoassay, and a mass-spectrometry reference method were highly correlated (r=0.990 for molar vs mass spectrometry, r=0.967 and r=0.972 for the mass-based comparisons). Relationships between baseline Lp(a) and major adverse cardiovascular events in the placebo group were nearly identical across the three tests (cumulative incidence differing by <=0.4% across percentiles, all spline P<=0.0003), as were predicted alirocumab treatment effects (hazard ratios differing by <=0.07 between tests). Absolute risk reduction with alirocumab increased with Lp(a) regardless of which test was used, supporting interchangeable use of mass or molar Lp(a) assays in clinical risk assessment.
Original abstract
Background: Lipoprotein(a) is a risk factor for cardiovascular events and modifies the benefit of PCSK9 (proprotein convertase subtilisin/kexin type 9) inhibitors. Lipoprotein(a) concentration can be measured with immunoassays reporting mass or molar concentration or a reference measurement system using mass spectrometry. Whether the relationships between lipoprotein(a) concentrations and cardiovascular events in a high-risk cohort differ across lipoprotein(a) methods is unknown. We compared the prognostic and predictive value of these types of lipoprotein(a) tests for major adverse cardiovascular events (MACE).
Methods: The ODYSSEY OUTCOMES trial (Evaluation of Cardiovascular Outcomes After an Acute Coronary Syndrome During Treatment With Alirocumab) compared the PCSK9 inhibitor alirocumab with placebo in patients with recent acute coronary syndrome. We compared risk of a MACE in the placebo group and MACE risk reduction with alirocumab according to baseline lipoprotein(a) concentration measured by Siemens N-latex nephelometric immunoassay (IA-mass; mg/dL), Roche Tina-Quant turbidimetric immunoassay (IA-molar; nmol/L), and a noncommercial mass spectrometry-based test (MS; nmol/L). Lipoprotein(a) values were transformed into percentiles for comparative modeling. Natural cubic splines estimated continuous relationships between baseline lipoprotein(a) and outcomes in each treatment group. Event rates were also determined across baseline lipoprotein(a) quartiles defined by each assay.
Results: Among 11 970 trial participants with results from all 3 tests, baseline median (Q1, Q3) lipoprotein(a) concentrations were 21.8 (6.9, 60.0) mg/dL, 45.0 (13.2, 153.8) nmol/L, and 42.2 (14.3, 143.1) nmol/L for IA-mass, IA-molar, and MS, respectively. The strongest correlation was between IA-molar and MS (r=0.990), with nominally weaker correlations between IA-mass and MS (r=0.967) and IA-mass and IA-molar (r=0.972). Relationships of lipoprotein(a) with MACE risk in the placebo group were nearly identical with each test, with estimated cumulative incidences differing by ≤0.4% across lipoprotein(a) percentiles, and all were incrementally prognostic after accounting for low-density lipoprotein cholesterol levels (all spline P≤0.0003). Predicted alirocumab treatment effects were also nearly identical for each of the 3 tests, with estimated treatment hazard ratios differing by ≤0.07 between tests across percentiles and nominally less relative risk reduction by alirocumab at lower percentiles for all 3 tests. Absolute risk reduction with alirocumab increased with increasing lipoprotein(a) measured by each test, with significant linear trends across quartiles.
Conclusions: In patients with recent acute coronary syndrome, 3 lipoprotein(a) tests were similarly prognostic for MACE in the placebo group and predictive of MACE reductions with alirocumab at the cohort level.
Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT01663402.
PCSK9 inhibitionphase 3risk predictiontesting
Summary written by lp-a.org from the published abstract; figures as published. Page updated 18 August 2026. Methods.