Cardio Diagnostics Announces Publication of Study Showing That its PrecisionCHD Test Could Save Health Insurers Over $113 Million Annually

Cardio Diagnostics Holdings, Inc. (Nasdaq: CDIO), a leader in the next generation of precision cardiovascular medicine technologies that combine proprietary AI algorithms with epigenetic and genetic biomarkers, today announced the publication of results from a budget impact modeling study for PrecisionCHD, the Company’s AI-powered multiomic coronary heart disease detection test. The peer-reviewed study “The Use of Precision Epigenetic Methods for the Diagnosis and Care of Stable Coronary Heart Disease Reduces Healthcare Costs” published in Advances in Therapy, reported that the use of PrecisionCHD can significantly reduce the cost of secondary prevention for stable coronary heart disease (CHD) by up to $113.6 million per year for a typical health insurance plan with one million members.

PrecisionCHD is an AI-powered multiomic DNA test using epigenetic and genetic biomarkers to aid in the detection of stable CHD. This blood-based test evaluates six DNA methylation and ten genetic biomarkers and uses a proprietary machine learning model to interpret the genetically contextual methylation signals from these biomarkers. The sensitivity and specificity of this test are 79% and 76%, respectively, with the clinical validation study in collaboration with Intermountain Healthcare and University of Iowa Hospitals and Clinics being recently published in the Journal of American Heart Association.

The PrecisionCHD budget impact model was designed to evaluate the cost savings associated with using PrecisionCHD as the primary method of initial CHD assessment in place of current commonly used tests such as exercise electrocardiograms, coronary computed tomography angiography (CCTA), and angiograms. The model considered factors such as the number of tests performed, the cost of each test, and the impact of test results on treatment decisions. The results suggest that using PrecisionCHD could lead to significant cost savings for payers, with an estimated $113.6 million saved per year for a plan with one million members. These savings are primarily driven by the lower cost of PrecisionCHD compared to traditional tests and the reduced need for additional testing. The model also found that the cost savings were not sensitive to patient demographics, or insurance plan design, with similar results being observed for plans that exclude Medicare enrollees, only include Medicare enrollees (Part B or Medicare Advantage), offer large co-insurance rates, and offer larger co-pays.