0000000000764702
AUTHOR
M. Jauss
Abstract WP200: Development and Validation of a Score to Detect Paroxysmal Atrial Fibrillation During Long-term Holter-monitoring After Acute Ischemic Stroke
Introduction: Atrial fibrillation remains one of the most common causes of ischemic stroke. The diagnosis of paroxysmal atrial fibrillation (pAF) frequently escapes routine diagnostic due to its intermittent and asymptomatic occurrence. Currently prolonged monitoring times (72h) are recommended, but did not find their way into everyday practice. Therefore an individual patient selection for prolonged ECG-monitoring might increase the diagnostic yield of pAF in a resource-saving and cost-effective manner. Methods: We used individual patient data from three prospective studies (n total =1556) which performed a prolonged Holter ECG-monitoring (at least 72 h) and centralized data evaluation af…
Automatic Holter electrocardiogram analysis in ischaemic stroke patients to detect paroxysmal atrial fibrillation : ready to replace physicians?
Background and purpose The detection of paroxysmal atrial fibrillation (pAF) in patients presenting with ischaemic stroke shifts secondary stroke prevention to oral anticoagulation. In order to deal with the time- and resource-consuming manual analysis of prolonged electrocardiogram (ECG)-monitoring data, we investigated the effectiveness of pAF detection with an automated algorithm (AA) in comparison to a manual analysis with software support within the IDEAS study [study analysis (SA)]. Methods We used the dataset of the prospective IDEAS cohort of patients with acute ischaemic stroke/transient ischaemic attack presenting in sinus rhythm undergoing prolonged 72-h Holter ECG with central a…