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Please note the neural net that generates answers to the questions, is specially inaccurate when it comes to numerical content. For example, the number of people diagnosed with a specific disease.
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Walitti dhufeenyi
Gaaffii / yaada kamirrayyuu qabdan nutti ergi.
How is heart attack diagnosed?
A heart attack is diagnosed through a combination of the patient's medical history, physical examination, and diagnostic tests.
The most common diagnostic tests used to diagnose a heart attack include:
1. Electrocardiogram (ECG): This test measures the electrical activity of the heart and can detect abnormalities that may indicate a heart attack.
2. Blood tests: Blood tests can measure the levels of certain enzymes and proteins that are released into the bloodstream when the heart muscle is damaged.
The most common blood tests used to diagnose a heart attack are troponin and creatine kinase (CK-MB) tests.
3. Echocardiogram: This test uses sound waves to create a moving image of the heart, which can help doctors assess the function of the heart and identify any areas of damage.
4. Coronary angiography: This test involves injecting a dye into the coronary arteries and taking X-ray images to identify any blockages or narrowing of the arteries.
5. Cardiac CT or MRI: These imaging tests can provide detailed images of the heart and its blood vessels, which can help doctors identify any damage or blockages.
6. Stress test: This test involves exercising on a treadmill or stationary bike while the heart is monitored to see how it responds to stress.
It can help identify any abnormalities in the heart's function.
7. Cardiac catheterization: This invasive test involves inserting a catheter into a blood vessel in the arm or leg and guiding it to the heart.
Dye is then injected into the coronary arteries to identify any blockages or narrowing.
A combination of these tests, along with the patient's symptoms and medical history, can help doctors diagnose a heart attack and determine the best course of treatment.
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Please note the neural net that generates answers to the questions, is specially inaccurate when it comes to numeric content. For example, the number of people diagnosed with a specific disease.
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