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Lp(a) testing for primary prevention is cost-saving across every high-income country modelled, multinational microsimulation finds (Atherosclerosis 2025)

Original title: Lp(a) testing for the primary prevention of cardiovascular disease in high-income countries: a cost-effectiveness analysis

Atherosclerosis · · 8

Morton JI, Kronenberg F, Daccord M, Bedlington N, Geanta M, Silberzahn T, Chen Z, Eisele JL, Eliasen B, Harada-Shiba M, Rijken M, Wiegman A et al.

This study built and validated a multi-state microsimulation Markov model, based on 10,000 UK Biobank participants aged 40-69 without cardiovascular disease, to evaluate the cost-effectiveness of Lp(a) testing in primary prevention patients not already flagged as high-risk by age, diabetes status or SCORE-2. Those found to have Lp(a) at or above 105 nmol/L (50 mg/dL) were treated as high risk (statin plus blood pressure lowering initiated). Among 10,000 individuals, testing changed treatment for 1,807, yielding 217 and 255 quality-adjusted life years gained in Australia and the UK respectively, with incremental cost-effectiveness ratios of 12,134 (cost-effective) and -3,491 (cost-saving); from a societal perspective, testing saved $85 per person in Australia and £263 in the UK. A cost-adaptation analysis found Lp(a) testing was cost-saving across every country modelled, spanning multiple European countries, Canada and the USA. This health-economic evidence, led by a broad international author group including patient advocacy representation, strengthens the case for universal Lp(a) testing in primary prevention on economic as well as clinical grounds.

Read the paper (DOI)PubMed

Original abstract

Background And Aims: Cost-effectiveness of Lipoprotein(a) [Lp(a)] testing is not established. We aimed to evaluate the cost-effectiveness of Lp(a) testing in the cardiovascular disease (CVD) primary prevention population from healthcare and societal perspectives.

Methods: We constructed and validated a multi-state microsimulation Markov model for a population of 10,000 individuals aged between 40 and 69 years without CVD, selected randomly from the UK Biobank. The model evaluated Lp(a) testing in individuals not initially classified as high-risk based on age, diabetes status, or the SCORE-2 algorithm. Those with an Lp(a) level ≥105 nmol/L (50 mg/dL) were treated as high risk (initiation of a statin plus blood pressure lowering). The Lp(a) testing intervention was compared to standard of care. The primary analyses were conducted from the Australian and UK healthcare perspectives in 2023AUD/GBP. A cost adaptation method estimated cost-effectiveness in multiple European countries, Canada, and the USA.

Results: Among 10,000 individuals, 1,807 had their treatment modified from Lp(a) testing. This led to 217 and 255 quality-adjusted life years gained in Australia and the UK, respectively, with corresponding incremental cost-effectiveness ratios of 12,134 (cost-effective) and -3,491 (cost-saving). From a societal perspective, Lp(a) testing saved $85 and £263 per person in Australia and the UK, respectively. Lp(a) testing was cost-saving among all countries tested in the cost adaptation analysis.

Conclusions: Lp(a) testing in the primary prevention population to reclassify CVD risk and treatment is cost-saving and warranted to prevent CVD.

guidelinestesting

Summary written by lp-a.org from the published abstract; figures as published. Page updated 17 August 2026. Methods.