Why the study?
Cardiovascular disease is typically asymptomatic for years, and high-sensitivity assays capable of measuring cardiac troponin in over 50% of the general population reveal associations with occult disease and future cardiovascular events.
Does measurement of high-sensitivity cardiac troponins improve cardiovascular risk screening and outcomes in the general population?
Does measurement of high-sensitivity cardiac troponins improve cardiovascular risk screening and outcomes in the general population?
High-sensitivity cardiac troponin testing shows promise as a screening tool for occult cardiovascular disease and future risk in the general population, potentially guiding preventive treatments.
May support troponin for risk stratification in asymptomatic adults; leaves open whether screening improves outcomes.
Cardiovascular disease (CVD), including atherosclerosis, valvular etiologies, or myocardial disorders, is typically asymptomatic for several years, representing an occult phase of illness. Readily available preventive treatments to reduce cholesterol and blood pressure, among other risk factors, have the potential to reduce and delay incident myocardial infarction (MI), heart failure, and cardiovascular (CV) deaths. Measurement of circulating levels of cardiac troponin T (cTnT) and troponin I (cTnI) released from cardiomyocytes, as a result of injury, has been the biochemical standard for the diagnosis of MI for more than 20 years. The recent adoption of high-sensitivity (hs) assays, which are capable of measuring cTnT and I levels in more than 50% of the general population, has revealed a clear association between progressively higher biomarker levels and future CV events. In cross-sectional imaging studies, cTn levels measured by hs assays have also demonstrated correlations between elevated biomarker levels and occult CVD such as coronary artery disease and myocardial fibrosis. In this review, we provide evidence to consider measuring hs-cTnT and hs-cTnI to screen for patient CV risk and provide an example of a scenario in which such screening may improve outcomes through decision support for aggressive management of blood pressure.
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Awwad et al. (2024) studied this question.
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