HART CVE is a simple, highly accurate blood test for scoring your risk for a heart attack, stroke or cardiac death. Developed and validated in collaboration with renowned researchers at Massachusetts General Hospital, HART CVE proved to be more accurate (86%) than other available tests, including genetic and stress tests (53%).2,3
Heart disease is the
leading cause of death
in the U.S.—1 in 3 deaths.
Heart disease is 80% preventable.
50% of heart attack patients have
normal cholesterol.
HART Testing
An Inside Look
Prevencio’s HART technology delivers an overall risk score, along with a more detailed breakdown of risk factors.
HART Protein
Relation to Heart Disease
HART Protein
Relation to Heart Disease
NT-proBNP
Measure to identify your heart stress or how hard your heart must work with every beat
Kidney Injury
Molecule-1
Measure to determine inflammation in an artery or level of heart-kidney abnormality
Osteopontin
Measures the amount of calcification/cholesterol/plaque within the heart arteries; and body’s ability to detoxify (oxidative stress)
TIMP-1
Measures risk of plaque to
break apart or rupture
HART CVE Score
A score from 0 – 3 indicates a lower likelihood of developing a heart event; specifically, a less than 1% risk of having a heart attack, stroke, or cardiovascular death within 1 year.
A score of 4 – 6 signifies a moderate likelihood of developing a heart event; specifically, a less than 7% risk of having a heart attack, stroke, or cardiovascular death within 1 year.
A score of 7 – 10 indicates a higher likelihood of developing a heart event; specifically, a greater than 20% risk of having a heart attack, stroke, or cardiovascular death within 1 year.
HOW TO GET YOUR
HART CVE SCORE?
If HART CVE is the right test for you, then you will only need a simple blood draw, no fasting required.
References
1. Heart Disease Facts | cdc.gov
2. McCarthy, CP, Januzzi, JL, et al. Usefulness of Multiple Biomarkers for Predicting Incident Major Adverse Cardiac Events in Patients Who Underwent Diagnostic Coronary Angiography (from the Catheter Sampled Blood Archive in Cardiovascular Diseases [CASABLANCA] Study).
Am J Cardio l 2017; 120(1):25-32.
3. Neumann JT, Januzzi JL, Westermann D. et al. Application of a machine learning-driven, multibiomarker panel for prediction of incident cardiovascular events in patients with suspected myocardial infarction.
Biomark Med. 2020 Jun;14(9):775-784.
doi: 10.2217/bmm-2019-0584.
Epub 2020 May 28. PMID: 32462911.
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