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Year : 2019  |  Volume : 32  |  Issue : 1  |  Page : 181-186

The correlation between serum adiponectin levels and severity of coronary artery disease

1 Department of Cardiology, Faculty of Medicine, Menoufia University, Shebeen El-Kom, Egypt
2 Department of Cardiology at Sohag Cardiac Center, Sohag, Egypt

Correspondence Address:
Alshaimaa A Ahmed
Specialist at Cardiology Department, Sohag Cardiac Specialized Cente, Sohag
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/mmj.mmj_558_17

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Objective To evaluate the correlation between serum adiponectin levels and the severity of coronary artery disease (CAD) as assessed by coronary angiography. Background CAD is the leading cause of death worldwide. Adiponectin is a protein hormone that modulates a number of metabolic processes, including glucose regulation and acid oxidation. The severity of hypoadiponectinemia correlates with coronary lesions. Indeed, adiponectin levels are lower in patients having CAD. Patients and methods This cross-sectional study included 90 patients, comprising 36 patients with normal coronary arteries and 54 patients with CAD. Patients with CAD were subdivided into four groups according to the number of vessels affected. The severity of coronary lesions was assessed using the modified Gensini score. Serum adiponectin levels were measured in all patients. Results There was a significant negative linear correlation between serum adiponectin level and severity of CAD using modified Gensini score (r=−0.903; P < 0.001). There was significant decrease in serum adiponectin levels in patients with multivessel disease compared with patients with two-vessel disease and more significant decrease compared with patients with single-vessel disease. There was no significant difference between the both groups regarding mean age, smoking, hypertension, dyslipidemia, and family history. Conclusion Serum adiponectin levels decreased in patients with CAD compared with normal coronary arteries group. This decrease is more prominent with increasing levels of CAD severity, which may be helpful in risk stratification.

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