Testing
Perspective piece asks whether digital health tools can push Lp(a) testing toward the ubiquity of A1C (Front Cardiovasc Med 2025)
Original title: Can Lp(a) become the next A1C? A case for digital health management tools to overcome inertia to Lipoprotein (a) testing
This perspective piece argues that Lp(a) testing lags far behind other cardiovascular biomarkers, with an estimated less than 1% of the US population ever screened despite its established link to cardiovascular risk. The authors propose that digital health tools built around behavioural motivation models (COM-B and the Social Ecological Model) could help overcome patient and system inertia to seeking Lp(a) testing. They highlight rising GLP-1 receptor agonist prescribing as a parallel opportunity, since patients already engaged in managing type 2 diabetes and obesity biomarkers through these drugs could be motivated to extend that engagement to Lp(a) and broader cardiovascular risk. The piece frames this behavioural-technology approach as a near-term lever that could meaningfully raise testing rates ahead of, and in preparation for, emerging disease-modifying Lp(a) therapies.
Original abstract
Despite its known correlations with risk of cardiovascular disease, awareness and testing for Lipoprotein (a) lags that of other serological markers with estimates that less than 1% of the US population have undergone screening. Herein we outline how digital tools framed around motivational models (COM-B and SEM), might help increase likelihood of patients seeking Lp(a) testing as part of their managed care. Furthermore, we highlight how recent trends in prescription of GLP-1 receptor antagonists are serving to motivate patients to manage biomarkers related to T2D and obesity, which are also relevant in cardiovascular disease. Capitalizing on this trend to stimulate interest in Lp(a) management could have near term consequence, and with disease modifying therapies in development ultimately improve outcomes in cardiovascular disease.
Summary written by lp-a.org from the published abstract; figures as published. Page updated 18 August 2026. Methods.