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Risk factors of coronary slow flow and its correlation with inflammatory response based on single clinical center in China
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Citation of this paper:YAN Jian-hua, SUN Ying-gang, CHEN Man-tian, TANG Yong, MENG Shu, ZHANG Ya-chen, ZHANG Yan*.Risk factors of coronary slow flow and its correlation with inflammatory response based on single clinical center in China[J].Chinese Journal of Clinical Medicine,2018,25(2):194-198
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YAN Jian-hua, SUN Ying-gang, CHEN Man-tian, TANG Yong, MENG Shu, ZHANG Ya-chen, ZHANG Yan* Department of Cardiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China 
Abstract:Objective:To explore the risk factors of coronary slow flow (CSF) and the role of inflammatory response on its pathogenesis. Methods:The CSF was evaluated by corrected thrombolysis in myocardial infarction (TIMI) frame count (CTFC). Totally 96 cases with CSF (CSF group) and 106 cases with normal flow (NCSF group) were selected from patients undergoing coronary angiography (CAG) in our hospital from January 2016 to December 2016. Single and multi-variable logistic regression analysis was used to assess the relationship between CSF and clinical characteristics, baseline biochemistry and related inflammation factors (both in peripheral venous blood and in coronary arterial blood) including interleukin-6 (IL-6), hypersensitive C reactive protein (hsCRP) and matrix metalloproteinase-9 (MMP-9). Results:The CTFC values of three branches of coronary arteria in CSF group were all significantly higher than those in control group (left anterior descending: 32.3±3.7 vs 17.8±2.1, left circumflex branch: 34.5±3.9 vs 23.1±2.8, right coronary artery: 34.9±4.3 vs 21.4±3.2, all P<0.01). The most common coronary artery involved by CSF was right coronary artery (83.3%). Single factor analysis found that the body mass index, diabetes ratio, uric acid, IL-6, hsCRP in coronary arterial blood, MMP-9 in both peripheral venous and coronary arterial blood in CSF group were significantly higher than those in NCSF group (P<0.05 or 0.01). Logistic regression analysis found that body mass index (OR=1.313, 95%CI 1.026-1.654, P=0.034), diabetes (OR=1.604, 95%CI 1.198-2.466, P=0.006), uric acid (OR=1.036, 95%CI 1.006-1.102, P=0.027), MMP-9 in peripheral venous blood (OR=2.279, 95%CI 1.478-4.022, P=0.004), MMP-9 in involved coronary arterial blood (OR=3.145, 95%CI 2.011-5.023, P=0.000) were independent risk factors of CSF. Conclusions:Body mass index, diabetes, and uric acid are independent risk factors of CSF. Compared with the systemic inflammatory response, local inflammatory response of the involved coronary arteries is more relevant to CSF. MMP-9 plays an important role in the pathogenesis of CSF.
keywords:coronary slow flow  corrected TIMI frame count  risk factors  inflammatory factors  matrix metalloproteinase-9
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