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Troponin I is a biomarker that responds to treatment interventions. Reductions in troponin I levels proved to reduce the risk of future CVD. [23] [24] [25] High sensitive troponin I used as a screening tool to assess a person's cardiovascular risk and has the potential to reduce the growing cost burden of the healthcare system. [26]
Sensitivity and specificity Approximate peak Description Troponin test: The most sensitive and specific test for myocardial damage. Because it has increased specificity compared with CK-MB, troponin is composed of 3 proteins- Troponin C, Cardic troponin I, and Cardiac troponin T. Troponin I especially has a high affinity for myocardial injury ...
Cardiac troponin T (low sensitive) 0.1 [7] ng/mL: 99th percentile cutoff: Cardiac troponin I (high sensitive) 0.03 [7] ng/mL 99th percentile cutoff: Cardiac troponin T (high sensitive) Male 0.022 [7] ng/mL 99th percentile cutoff: Female 0.014 [7] ng/mL 99th percentile cutoff: newborn/infants not established more than adults [60] [61]
Troponin T (blue) anchors the complex on tropomyosin. Troponin is found in both skeletal muscle and cardiac muscle, but the specific versions of troponin differ between types of muscle. The main difference is that the TnC subunit of troponin in skeletal muscle has four calcium ion-binding sites, whereas in cardiac muscle there are only three.
Troponin T binds to tropomyosin and helps position it on actin, [2] and together with the rest of the troponin complex, modulates contraction of striated muscle. [3] The cardiac subtype of troponin T is especially useful in the laboratory diagnosis of heart attack because it is released into the blood-stream when damage to heart muscle occurs. [4]
The Framingham Risk Score is a sex-specific algorithm used to estimate the 10-year cardiovascular risk of an individual. The Framingham Risk Score was first developed based on data obtained from the Framingham Heart Study, to estimate the 10-year risk of developing coronary heart disease. [1]
They use the sensitivity and specificity of the test to determine whether a test result usefully changes the probability that a condition (such as a disease state) exists. The first description of the use of likelihood ratios for decision rules was made at a symposium on information theory in 1954. [ 1 ]
The 'worst-case' sensitivity or specificity must be calculated in order to avoid reliance on experiments with few results. For example, a particular test may easily show 100% sensitivity if tested against the gold standard four times, but a single additional test against the gold standard that gave a poor result would imply a sensitivity of ...