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Chinese Journal of Heart and Heart Rhythm(Electronic Edition) ›› 2017, Vol. 05 ›› Issue (04): 225-228. doi: 10.3877/cma.j.issn.2095-6568.2017.04.011

Special Issue:

• Treatise • Previous Articles     Next Articles

Study on the Predictors of Coronary Slow Flow Phenomenon

Yulong Xue1, Xuewen Li1,()   

  1. 1. Department of Cardiology, Affiliated Da Hospital of Shanxi Medical University, Taiyuan 030032, China
  • Online:2017-12-25 Published:2017-12-25
  • Contact: Xuewen Li
  • About author:
    Corresponding author: Li Xuewen, Email:

Abstract:

Objective

To study the predictors of slow flow of coronary artery, To provide reference for the prevention, diagnosis and treatment of CSFP.

Methods

The clinical data of 60 cases of analysis from October 2012 to June 2017 due to "chest pain" and other reasons in the Shanxi hospital for coronary angiography of epicardial coronary artery stenosis was less than 40% were retrospectively analyzed, they were divided into CSFP group (CSFP group, n=30) and normal one group (control group, n=30) two groups according to whether the patients had coronary slow flow phenomenon.The general data and laboratory examination of the two groups were statistically analyzed, the predictors of slow flow of coronary artery were Logistic multivariate regression analyzed.

Results

The proportion of men and smoking history of the CSFP group were significantly higher (P<0.05), the age and smoking index were significantly higher (n<0.05), the smoking duration was significantly longer (n<0.05), the high-density lipoprotein were significantly lower (n<0.05), and the creatinine, uric acid and hemoglobin levels were significantly higher than the control group (n<0.05), but the differences of ejection fraction, history of hypertension and diabetes, total cholesterol, triglyceride, low density lipoprotein, alanine aminotransferase, aspartate aminotransferase, C reactive protein, fasting blood glucose, serum potassium, CK-MB, troponin, brain natriuretic peptide, platelet counts, white blood cell counts between the two groups were not significant (n>0.05). Logistic multivariate regression analysis showed that the related predictors of coronary slow flow phenomenon included tobacco age, uric acid and high-density lipoprotein (n<0.05).

Conclusion

tobacco age, uric acid level and Low high density lipoprotein level were the predictors of CSFP.

Key words: Slow flow of coronary artery, Related factor, Predictive factors

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