Abstract:
BACKGROUND AND AIMS:Allergic asthma can accelerate atherosclerosis, a disease in which plaque is deposited onto arterial walls and that may lead to coronary artery disease (CAD). Eosinophils are the most important effector cells in allergic asthma and are likely to become novel biomarkers for risk stratification of patients with CAD, but the relationship between eosinophil count and CAD remains unclear. We aimed to evaluate this relationship and the use of eosinophils in predicting CAD. METHODS:A total of 5287 patients who underwent coronary angiography were recruited. Their biochemical parameters, including eosinophil count, were measured and their correlation with the severity of coronary artery stenosis, as quantified by the Gensini score system, was evaluated. RESULTS:The percentages of eosinophils in leukocytes (PELs) were lower in CAD patients (p < 0.001), and had a significant negative correlation with Gensini scores (r = -0.112, p < 0.001). PELs were also significantly lower in acute myocardial infarction patients (p < 0.001). After adjusting for baseline differences, low PELs remained strongly associated with severe CAD and acute coronary arterial thrombotic event. Receiver-operating characteristic curve analysis showed that combining PELs with traditional risk factors in predictive models for CAD severity (z = 4.470, p < 0.001) or acute coronary arterial thrombotic event (z = 9.435, p < 0.001) improved the predictive capabilities of those models. CONCLUSIONS:PELs, at least in patients undergoing coronary angiography, may be strongly related to the subtype and severity of CAD and, therefore, eosinophil count may be an accurate and independent biomarker to predict CAD severity and acute coronary arterial thrombotic events.
journal_name
Atherosclerosisjournal_title
Atherosclerosisauthors
Gao S,Deng Y,Wu J,Zhang L,Deng F,Zhou J,Yuan Z,Wang Ldoi
10.1016/j.atherosclerosis.2019.05.027subject
Has Abstractpub_date
2019-07-01 00:00:00pages
128-134eissn
0021-9150issn
1879-1484pii
S0021-9150(19)30454-Xjournal_volume
286pub_type
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