Zong-fang WANG, Zhan BAI, Lin-ye ZHANG, Bao-kui HU, Ran LIU. Analysis of related factors of coronary slow flow phenomenon accompanied by atrial fibrillation[J]. Chinese Heart Journal, 2022, 34(2): 169-173. DOI: 10.12125/j.chj.202105093
    Citation: Zong-fang WANG, Zhan BAI, Lin-ye ZHANG, Bao-kui HU, Ran LIU. Analysis of related factors of coronary slow flow phenomenon accompanied by atrial fibrillation[J]. Chinese Heart Journal, 2022, 34(2): 169-173. DOI: 10.12125/j.chj.202105093

    Analysis of related factors of coronary slow flow phenomenon accompanied by atrial fibrillation

    •   AIM  To investigate the clinical characteristics of patients with coronary slow flow phenomenon (CSFP) accompanied by atrial fibrillation (AF) and analyze related predictive factors.
        METHODS  One hundred and ninety-six CSFP patients without AF who underwent coronary angiography in our hospital from January 2015 to February 2021 were selected as the control group and 61 CSFP patients accompanied by AF in the same period were selected as the observation group. General clinical data, relevant laboratory indicators and coronary angiography results of the two groups were compared. The risk factors of CSFP accompanied by AF were screened and analyzed by multivariate logistic regression analysis. The receiver operating characteristic curve (ROC curve) was used to analyze the value of risk factors with statistical significance in predicting CSFP accompanied by AF.
        RESULTS  Compared with those in the control group, there was significant difference in age, smoking rate, stroke/TIA heart failure,CHA2DS2-VASc score, uric acid, creatinine, left atrial diameter (LAD), blood platelet count (BPC), triglycerides (TG), high-density lipoprotein (HDL), estimated glomerular filtration rate (eGFR) and left ventricular ejection fraction (LVEF) in the observation group (P<0.05). Coronary angiography results showed that the incidence of CSFP in both left anterior descending artery and right coronary artery in the observation group was significantly higher than that in the control group (P<0.05). Multivariate logistic regression analysis showed that uric acid and CHA2DS2-VASc score were independent risk factors for CSFP accompanied by AF. ROC curve analysis showed that the area under the curve (AUC) of uric acid was 0.757 (95% CI: 0.675-0.838) and the best diagnostic cut-off value for CSFP accompanied by AF was 433.5 μmol/L, the sensitivity was 58.6% and the specificity was 90.0%. The AUC of the CHA2DS2-VASc score was 0.728 (95% CI: 0.646-0.810) and the best diagnostic cut-off value was 3, the sensitivity was 54.1% and the specificity was 82.7%.
        CONCLUSION  Uric acid level and the CHA2DS2-VASc score have predictive value for CSFP accompanied by AF and may be used as effective predictors.
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