Analysis of influencing factors for coronary slow flow
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摘要:
目的：分析冠状动脉慢血流（coronary slow flow，CSF）的影响因素。方法：行冠状动脉造影检查发现CSF患者94例纳入CSF组，选取同时期血流速度正常的人群94例作为对照组，记录两组受检者的临床资料，分析CSF影响因素及血小板分布宽度（platelet distribution width，PDW）对CSF的预测价值。结果：CSF组糖尿病患者所占比例高于对照组（P＜0.05）。两组在血小板（platelet，PLT）、血小板压积（plateletocrit，PCT）、平均血小板体积（mean platelet volume，MPV）、血小板分布宽度（platelet distribution width，PDW）、空腹血糖（fasting plasma glucose，FPG）水平方面比较，差异具有统计学意义（P＜0.05）。多因素Logistic回归分析发现，糖尿病和PDW是CSF的影响因素（P＜0.05）。亚组分析显示PDW随发生CSF血管数量增多呈上升趋势，具有统计学意义。受试者工作特征（receiver operating characteristic，ROC）曲线分析发现，PDW预测CSF的曲线下面积（area under curve，AUC）为0.675，最佳截断值为13.85%，灵敏度为51.1%，特异度为80.9%。结论：糖尿病和PDW是CSF的影响因素；PDW对CSF的发生有一定的预测价值。
Abstract:
Objective：This study aims to investigate the influencing factors of coronary slow flow（CSF）. Methods：The clinical data of 94 patients with CSF（CSF group）and 94 cases without CSF（control group）who underwent coronary angiography were recorded. The influencing factors of CSF and predictive value of platelet distribution width（PDW）for CSF were analyzed. Results：The ratio of diabetes of CSF group was higher than that in control group（P＜0.05）.The platelet（PLT），plateletocrit（PCT），mean platelet volume（MPV），platelet distribution width（PDW）and fasting plasma glucose（FPG）were different between the two groups（P＜0.05）. Multivariate logistic regression analysis showed that diabetes and PDW were the influencing factors of CSF（P＜0.05）. PDW in the CSF group increased significantly with increasing vessel involvement. ROC curve showed that the AUC of PDW predicting CSF was 0.675，optimum truncation value was 13.85%，sensitivity was 51.1% and specificity was 80.9%. Conclusion：Diabetes and PDW are the influencing factors of CSF and PDW may predict the occurrence of CSF.
