CARDIO inCode Score

CARDIO inCode Score

CARDIO inCode-Score is a genetic test to evaluate the risk of coronary heart disease.

Genetics provides approximately a 50% risk contribution to the development of coronary heart disease and related major adverse cardiovascular events, e.g. myocardial infarction or heart attack (Zdravkovic et al., 2002; Wienke et al., 2005; Elosua et al., 2009; Roberts R, 2018). As a result, genetics is now recognised as a vitally important risk factor to be included in the patient risk assessment of coronary heart disease.

There is a direct and linear relationship between genetic load and the risk of a coronary event, both the incidence of the event and recurrence (Lluis-Ganella et al., 2010; Lluis-Ganella et al., 2012; Mega et al., 2015; Natarajan et al., 2017; Rincón et al., 2020; Marston et al., 2020; Damask et al., 2020; Emdin et al., 2020).

A significant proportion of cardiovascular events take place in individuals clinically classified in low or intermediate risk groups based on traditional (non-genetic) cardiovascular risk factors (Marrugat et al., 2011; Iribarren et al., 2016).

Genetic risk assessment in addition to clinical risk provides a comprehensive cardiovascular lifetime risk assessment to identify patients at the highest overall risk of coronary heart disease. The combination of genetic and clinical risk enables a ‘personalised medicine’ approach to preventing cardiovascular disease through lifestyle change, treatment therapy and/or new therapeutic goals.

CARDIO inCode-Score measures an individuals genetic risk of coronary heart disease. Taking an individual’s genetic risk into consideration enables physicians to reclassify patients into a higher risk category. It is estimated that 5% of patients clinically classified in the low-risk group and 14% of those in the intermediate-risk group would be reclassified to higher risk categories (Iribarren et al., 2016) where genetic risk is assessed.

CARDIO inCode-Score analyzes 12 Single Nucleotide Polymorphisms (SNPs) using qPCR

CLINICAL UTILITY

  • Facilitate cardiovascular risk assessment
  • Adjust cardiovascular risk assessment based on traditional clinical risk assessment tools (Framingham, Pooled Cohort Equation, etc.), particularly for those who fall in the borderline or intermediate risk groups
  • Individuals with classical cardiovascular risk factors
  • Individuals with other risk factors (overweight or obesity, hypertriglyceridemia, etc.)
  • Individuals with intermediate/moderate 10-year cardiovascular risk
  • Individuals with a family history of ischemic heart disease, especially if in first-degree relatives and/or at young ages (men <55 years and women <65 years)
  • Individuals with a family history of a first-degree relative identified to have high genetic risk for coronary artery disease (ex: sibling with a CARDIO inCode-Score result showing high genetic risk or in quintile 5)
  • Individuals looking for more cardiovascular genetic risk information as part of a general medical check-up

Numerous scientific articles published in prestigious national and international journals have been written about CARDIO inCode® Score:

  • Rincón LM et al. A genetic risk score predicts recurrent events after myocardial infarction in young adults. Rev Eep Cardiol 2020;73(8):623-631. doi:/10.1016/j.rec.2019.08.006.
  • Iribarren C et al. Weighted multi-marker genetic risk scores for incident coronary heart disease among individuals of African, Latino and East-Asian ancestry. Scientific Reports 2018;8:6853
  • Iribarren C et al. Clinical utility of multimarker genetic risk scores for prediction of incident heart disease. A cohort study among over 51000 individuals of European ancestry. Circ Cardiovasc Genet 2016;9:531-540
  • Doménech M et al. Awareness of genetic coronary risk score improves blood pressure control in hypertensive patients. Rev Esp Cardiol 2016;69(12):1119-1240
  • Ramírez de Arellano A et al. Economic evaluation of Cardio inCode®, a clinical-genetic function for coronary heart disease risk assessment. Appl Health Econ Health Policy 2013;11:531-542
  • Lluis-Ganella C et al. Assessment of the value of a genetic risk score in improving the estimation of coronary risk. Atherosclerosis 2012;222:456-463
  • Lluis-Ganella C et al. Additive effects of multiple genetic variants on the risk of coronary artery disease. Rev Esp Cardiol 2010;63(8):925-33.