| Literature DB >> 28884653 |
Hans T Tu1,2,3, Ziyuan Chen1, Corey Swift2, Leonid Churilov4, Ruibing Guo5, Xinfeng Liu5, Jim Jannes6, Vincent Mok7, Ben Freedman8,9, Stephen M Davis1,2, Bernard Yan1,2.
Abstract
Rationale Paroxysmal atrial fibrillation is a common and preventable cause of devastating strokes. However, currently available monitoring methods, including Holter monitoring, cardiac telemetry and event loop recorders, have drawbacks that restrict their application in the general stroke population. AliveCor™ heart monitor, a novel device that embeds miniaturized electrocardiography (ECG) in a smartphone case coupled with an application to record and diagnose the ECG, has recently been shown to provide an accurate and sensitive single lead ECG diagnosis of atrial fibrillation. This device could be used by nurses to record a 30-s ECG instead of manual pulse taking and automatically provide a diagnosis of atrial fibrillation. Aims To compare the proportion of patients with paroxysmal atrial fibrillation detected by AliveCor™ ECG monitoring with current standard practice. Sample size 296 Patients. Design Consecutive ischemic stroke and transient ischemic attack patients presenting to participating stroke units without known atrial fibrillation will undergo intermittent AliveCor™ ECG monitoring administered by nursing staff at the same frequency as the vital observations of pulse and blood pressure until discharge, in addition to the standard testing paradigm of each participating stroke unit to detect paroxysmal atrial fibrillation. Study outcome Proportion of patients with paroxysmal atrial fibrillation detected by AliveCor™ ECG monitoring compared to 12-lead ECG, 24-h Holter monitoring and cardiac telemetry. Discussion Use of AliveCor™ heart monitor as part of routine stroke unit nursing observation has the potential to be an inexpensive non-invasive method to increase paroxysmal atrial fibrillation detection, leading to improvement in stroke secondary prevention.Entities:
Keywords: Atrial fibrillation; controlled trial; diagnosis; electrocardiography; monitoring; smartphone; stroke
Mesh:
Year: 2017 PMID: 28884653 DOI: 10.1177/1747493017696097
Source DB: PubMed Journal: Int J Stroke ISSN: 1747-4930 Impact factor: 5.266