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The Duke score appears effective for risk stratification of chest pain patients in chest pain units.
Therefore, accurate risk stratification of chest pain patients for the prediction of major adverse cardiac events (MACE) could play an essential role in supporting clinical decisions that allow timely intervention for preventable and treatable complications.
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Other approaches to risk stratification of ED chest pain patients have recently been reported.
11 12 17 18 More importantly, classic molecular indices of platelet activation have not provided added benefit in the risk stratification of undifferentiated chest pain patients.
Therefore, the role of novel biomarkers other than that of the routinely used cTn, NPs, and hs-CRP that might enable a better risk stratification of patients with chest pain is being increasingly investigated [ 20– 25].
A number of chest pain risk stratification tools have been proposed.
Second, many trials of chest pain risk stratification have tested the tools on ED populations where their chest pain is "thought to be of ischaemic origin".
Risk stratification for cardiac arrest and other adverse cardiac outcomes plays an essential role in the management of chest pain patients in the ED [ 1].
He had died of chest injuries.
A few had complained of chest pain.
Individual pre-test risk stratification of patients who are referred for MSCT-CA for suspected CAD primarily relies on the use of algorithms, i.e., the Framingham risk score [33] or the Morise score [28], and evaluation of chest symptoms.
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