多层计算机断层扫描冠状动脉造影在预测胸痛病房2型糖尿病患者冠状动脉疾病中的价值

Ragab Ali Habour, I. Shawki, Ibrahim Faragallah, hossam Al-Adl
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引用次数: 0

摘要

背景与目的糖尿病是一种影响广泛人群的代谢性疾病。微血管和大血管并发症在糖尿病患者中非常常见,冠状动脉病变发生率高。在急诊科对胸痛主诉的病例(尤其是糖尿病患者)进行快速有效的处理,对于减少后续并发症的发生具有重要意义。我们的目的是通过计算机断层扫描(CT)冠状动脉造影术在急诊室进行正常的初始心脏检查并伴有典型胸痛的2型糖尿病患者中预测冠状动脉疾病。患者与方法本研究共纳入100例胸痛患者,分为两组:80例糖尿病患者(A组)和20例非糖尿病患者(B组)。对病例进行完整的体格检查、常规实验室和放射学检查,获得完整的病史。此外,所有病例均行超声心动图和多层ct冠状动脉造影(冠状动脉计算机断层扫描血管造影)。同时计算钙评分。结果A组CT血管造影显示病变19例(23.8%),B组无病变,两组差异有统计学意义。CT血管造影结果与冠状动脉造影结果具有高度统计学意义的一致性(P<0.001)。CT血管造影敏感性为70.37%,特异性为100%,阳性预测值为100%,阴性预测值为86.89%,准确率为90%。结论与普通冠状动脉造影相比,早期冠状动脉ct造影对急诊科胸痛患者冠状动脉病变的预测具有较高的敏感性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Value of multislice computed tomography-coronary angiography in predicting coronary artery diseases in type-2 diabetic patients in the chest pain unit
Background and aim Diabetes mellitus is a metabolic disorder affecting a wide range of the population all over the world. Microvascular and macrovascular complications are very common in diabetic patients with high incidence of affection of the coronary arteries. Rapid and efficient management in cases (especially diabetics) complaining of chest pain at the emergency department is a matter of great importance to decrease the incidence of subsequent complications. Our aim was to predict coronary artery diseases in type-2 diabetic patients with typical chest pain with normal initial cardiac investigations at the emergency room by using computed tomography (CT) coronary angiography. Patients and methods A total number of 100 patients were included in this study and classified into two groups: 80 patients with diabetes mellitus (group A) and 20 nondiabetic patients (group B) presented with chest pain. Complete history was taken from the cases with performing of complete physical examination, and routine laboratory and radiological investigations. Additionally, echocardiography and multislice CT-coronary angiography (coronary computed tomography angiography) were done for all cases. Also, calcium score was calculated. Results CT angiography revealed affection in 19 (23.8%) cases of the cases in group A with no affected cases in group B with a statistically significant difference between the two groups. There was a high statistically significant agreement between the findings of the CT angiography and coronary angiography results (P<0.001). CT angiography had sensitivity of 70.37%, specificity of 100%, positive predictive value 100%, negative predictive value 86.89%, and accuracy of 90%. Conclusion An early coronary computed tomography angiography strategy has revealed high sensitivity in prediction of coronary artery disease affection as compared with ordinary coronary angiography in cases presented with chest pain to emergency department.
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