What are the most common indicators for predicting coronary artery diseases in smokers?
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The most common indicators for predicting coronary artery diseases (CAD) in smokers include the expression level of miR-124-3p , anxiety sensitivity , angiographic profile showing occlusive CAD, particularly in the left anterior descending artery (LAD) , alterations in lipid profile, inflammatory markers like C-reactive protein (CRP), interleukin-6, and tumor necrosis factor-a . Additionally, six core genes related to smoking and CAD were identified through bioinformatics analyses, serving as potential biomarkers for monitoring and predicting CAD risk in smokers . These indicators collectively provide valuable insights into the risk assessment and prediction of CAD in individuals who smoke, highlighting the multifaceted nature of the relationship between smoking and cardiovascular health.
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| Papers (5) | Insight |
|---|---|
Open access 01 Jan 2015 | C-reactive protein (CRP) and fibrinogen levels are common indicators for predicting coronary artery disease in smokers, reflecting inflammatory responses essential for atherosclerosis development. |
29 Dec 2020 | Most common indicators for predicting coronary artery disease in smokers include occlusive CAD (79.3%), LAD occlusion (43.8%), hypertension (37.8%), positive family history (40.2%), high LDL (53.7%), and diabetes (29.3%). |
| Six key genes related to smoking and coronary heart disease were identified: their expressions can serve as biomarkers for monitoring and predicting the risk of coronary artery diseases in smokers. | |
8 Citations | The most common indicators for predicting coronary artery diseases in smokers include heart attack, heart murmur, positive stress test, heart valve abnormality, angina, and heart failure. |
| The expression level of miR-124-3p in biological samples from smokers is a biomarker used to predict coronary artery disease, atherosclerosis, or cardiovascular disease. |
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