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  2. Cardiology diagnostic tests and procedures - Wikipedia

    en.wikipedia.org/wiki/Cardiology_diagnostic...

    A variety of blood tests are available for analyzing cholesterol transport behavior, HDL, LDL, triglycerides, lipoprotein little a, homocysteine, C-reactive protein, blood sugar control: fasting, after eating or averages using glycated albumen or hemoglobin, myoglobin, creatine kinase, troponin, brain-type natriuretic peptide, etc. to assess the evolution of coronary artery disease and ...

  3. Diagnosis of myocardial infarction - Wikipedia

    en.wikipedia.org/wiki/Diagnosis_of_myocardial...

    When damage to the heart occurs, levels of cardiac markers rise over time, which is why blood tests for them are taken over a 24-hour period. Because these enzyme levels are not elevated immediately following a heart attack, patients presenting with chest pain are generally treated with the assumption that a myocardial infarction has occurred ...

  4. Simple blood test could predict a person’s heart disease risk ...

    www.aol.com/news/simple-blood-test-could-predict...

    A new approach to a routine blood test could predict a person’s 30-year risk of heart disease, research published Saturday in the New England Journal of Medicine found.. Doctors have long ...

  5. Blood test to detect deadly heart inflammation could be ... - AOL

    www.aol.com/blood-test-detect-deadly-heart...

    Experts say it could ‘revolutionise the way we diagnose myocarditis’, allowing early treatment and support.

  6. Coronary ischemia - Wikipedia

    en.wikipedia.org/wiki/Coronary_ischemia

    This test is painless and it helps detect insufficient blood flow to the heart. [29] An EKG can also detect damage that has been done in the past to the heart. [30] This test can also detect any thickening in the walls of the left ventricles as well as any defects in the electrical impulses of the heart. [29]

  7. AI tool helps detect heart problems before symptoms start

    www.aol.com/news/ai-tool-helps-detect-heart...

    The tool examines patient data including age, sex, ethnicity and existing medical conditions such as diabetes, high blood pressure and heart disease to calculate individual risk levels.