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1.
Chinese Circulation Journal ; (12): 877-881, 2017.
Artigo em Chinês | WPRIM | ID: wpr-662501

RESUMO

Objective:To investigate the influencing factors of coronary slow flow (CSF) in relevant patients.Methods:A total of 1 530 patients received coronary angiography (CAG) in our hospital from 2008-01 to 2010-09 were retrospectively studied.According to corrected TIMI frame counts,2 groups were established:CSF group,n=139 patients without obvious coronary artery stenosis but with CSF and Control group,n=232 patients without obvious coronary artery stenosis and with normal coronary blood flow.Basic clinical condition,risk factors and routine laboratory tests were compared between 2 groups;the influencing factors of CSF were evaluated by multivariate Logistic regression analysis.Results:① The following parameters were different between 2 groups:age,gender,histories of smoking and diabetes;red blood cells (RBC),hemoglobin,mean hemoglobin concentration,hematocrit (HCT),mean RBC volume,RBC distribution width;neutrophils,monocytes,basophilic granulocyte,the ratios of lymphocytes/monocytes (LMR),neutrophils/monocytes (NMR),neutrophils/lymphocytes (NLR) and platelet/lymphocytes (PLR);glutamic oxalacetic transaminase,creatine kinase and total bile acid,P<0.05.② Correlation analysis showed that RBC (r=0.191,P<0.01),hemoglobin (r=0.184,P<0.01),neutrophils (r=0.218,P<0.01),mean hemoglobin concentration (r=0.151,P<0.01),mean RBC volume (r=-0.138,P<0.01),total bile acid (r=-0.172,P<0.01),NLR (r=0.231,P<0.01),LMR (r=-0.157,P<0.01) and NMR (r=0.121,P<0.01)were related to 3-branch mean flow frame.③ Multivariate Logistic regression analysis indicated that total bile acid (partial regression coefficient=-0.102,P<0.01),LMR (partial regression coefficient =-0.381,P<0.01) and NMR (partial regression coefficient =0.489,P<0.01) were the independent influencing factors of coronary slow flow.Conclusion:Total bile acids,LMR and NMR were the influencing factors of coronary slow flow in relevant patients.

2.
Chinese Circulation Journal ; (12): 877-881, 2017.
Artigo em Chinês | WPRIM | ID: wpr-660167

RESUMO

Objective:To investigate the influencing factors of coronary slow flow (CSF) in relevant patients.Methods:A total of 1 530 patients received coronary angiography (CAG) in our hospital from 2008-01 to 2010-09 were retrospectively studied.According to corrected TIMI frame counts,2 groups were established:CSF group,n=139 patients without obvious coronary artery stenosis but with CSF and Control group,n=232 patients without obvious coronary artery stenosis and with normal coronary blood flow.Basic clinical condition,risk factors and routine laboratory tests were compared between 2 groups;the influencing factors of CSF were evaluated by multivariate Logistic regression analysis.Results:① The following parameters were different between 2 groups:age,gender,histories of smoking and diabetes;red blood cells (RBC),hemoglobin,mean hemoglobin concentration,hematocrit (HCT),mean RBC volume,RBC distribution width;neutrophils,monocytes,basophilic granulocyte,the ratios of lymphocytes/monocytes (LMR),neutrophils/monocytes (NMR),neutrophils/lymphocytes (NLR) and platelet/lymphocytes (PLR);glutamic oxalacetic transaminase,creatine kinase and total bile acid,P<0.05.② Correlation analysis showed that RBC (r=0.191,P<0.01),hemoglobin (r=0.184,P<0.01),neutrophils (r=0.218,P<0.01),mean hemoglobin concentration (r=0.151,P<0.01),mean RBC volume (r=-0.138,P<0.01),total bile acid (r=-0.172,P<0.01),NLR (r=0.231,P<0.01),LMR (r=-0.157,P<0.01) and NMR (r=0.121,P<0.01)were related to 3-branch mean flow frame.③ Multivariate Logistic regression analysis indicated that total bile acid (partial regression coefficient=-0.102,P<0.01),LMR (partial regression coefficient =-0.381,P<0.01) and NMR (partial regression coefficient =0.489,P<0.01) were the independent influencing factors of coronary slow flow.Conclusion:Total bile acids,LMR and NMR were the influencing factors of coronary slow flow in relevant patients.

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