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Diagnostic accuracy of STAF, LADS, and iPAB scores for predicting paroxysmal atrial fibrillation in patients with acute cerebral infarction

机译:STAF,LADS和iPAB评分在预测急性脑梗死患者阵发性房颤中的诊断准确性

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Background and objective The scoring scales scoring system for targeting atrial fibrillation (STAF), left atrial diameter, age, diagnosis of stroke, and smoking status (LADS), and identified by past history of arrhythmia or antiarrhythmic agent use, atrial dilation, and elevation of Brain natriuretic peptide (iPAB) have been proposed for predicting atrial fibrillation in patients with acute cerebral infarction, but their relative accuracies are not clear. This prospective study compared STAF, LADS, and iPAB scores for predicting paroxysmal atrial fibrillation (PAF) in patients with acute cerebral infarction. Methods Patients with acute cerebral infarction (n?=?744; 495 men, 249 women; aged 65?±?12 years) were consecutively enrolled throughout the year 2016 at the Department of Neurology of Huizhou Municipal Central Hospital. Patients were followed for 3 months. The sensitivity, specificity, area under the receiver operating characteristic curve (AUC), and best cutoff points of STAF, LADS, and iPAB scores for predicting PAF were computed. Results Among the 744 patients, 37 patients had PAF. The AUCs of the STAF, LADS, and iPAB scores for predicting PAF were 0.87, 0.79, and 0.84, respectively, and with a cutoff at four points, the sensitivities were 73%, 70.3%, and 83.8%, and specificities were 92.1%, 82.2%, and 77%. Conclusions The STAF, LADS, and iPAB scores could satisfactorily predict PAF in patients with acute cerebral infarction. STAF was superior to the others in diagnostic performance.
机译:背景和目的针对心房纤颤(STAF),左心房直径,年龄,中风诊断和吸烟状况(LADS)的评分量表评分系统,并根据过去的心律失常或抗心律失常药物使用史,心房扩张和升高来确定已经提出使用脑利钠肽(iPAB)来预测急性脑梗死患者的房颤,但其相对准确性尚不清楚。这项前瞻性研究比较了STAF,LADS和iPAB评分来预测急性脑梗死患者的阵发性房颤(PAF)。方法于2016年全年在惠州市中央医院神经内科连续收治急性脑梗死患者(n?=?744;男性495例,女性249例;年龄65?±12岁)。随访患者3个月。计算灵敏度,特异度,受体工作特征曲线下的面积(AUC)以及STAF,LADS和iPAB分数的最佳临界点,以预测PAF。结果在744例患者中,有37例患有PAF。用于预测PAF的STAF,LADS和iPAB分数的AUC分别为0.87、0.79和0.84,且在四个点截取时,敏感性分别为73%,70.3%和83.8%,特异性为92.1% ,82.2%和77%。结论STAF,LADS和iPAB评分可以令人满意地预测急性脑梗死患者的PAF。 STAF在诊断性能上优于其他。

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