2020
DOI: 10.1136/openhrt-2019-001151
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Detection of unknown atrial fibrillation by prolonged ECG monitoring in an all-comer patient cohort and association with clinical and Holter variables

Abstract: ObjectivesProlonged ECG monitoring is clinically useful to detect unknown atrial fibrillation (AF) in stroke survivors. The diagnostic yield of prolonged ECG monitoring in other patient populations is less well characterised. We therefore studied the diagnostic yield of prolonged Holter ECG monitoring for AF in an unselected patient cohort referred from primary care or seen in a teaching hospital.MethodsWe analysed consecutive 7-day ECG recordings in unselected patients referred from different medical speciali… Show more

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Cited by 8 publications
(6 citation statements)
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“…Initially, what constitutes a dangerous condition could follow Holter monitoring protocols. For example, an AF event is detected when the estimated AF probability is above 0.5 for at least 30 s [ 58 ]. However, it is not known if such an approach is sensitive and indeed specific enough to capture the stroke risk for patients.…”
Section: Discussionmentioning
confidence: 99%
“…Initially, what constitutes a dangerous condition could follow Holter monitoring protocols. For example, an AF event is detected when the estimated AF probability is above 0.5 for at least 30 s [ 58 ]. However, it is not known if such an approach is sensitive and indeed specific enough to capture the stroke risk for patients.…”
Section: Discussionmentioning
confidence: 99%
“…A qualified cardiac physiologist analyses and reports the Holter study; however, the supervising cardiologist is ultimately responsible for the Holter analyses’ correct authorization. Atrial fibrillation is defined as chaotic atrial arrhythmia with loss of p wave activity and irregular RR interval lasting for at least 30 seconds [ 50 ]…”
Section: Methodsmentioning
confidence: 99%
“…We than reviewed all hospitalization progress notes and discharge summary of each patient to include patients based on our mentioned inclusion criteria. We selected and evaluated specific baseline characteristics based upon known risk factors for diagnostic Holter ECG monitoring from previous studies 12 , 13 . Hypertension, diabetes, and hyperlipidemia were included only if patients received a relevant treatment prior to admission.…”
Section: Methodsmentioning
confidence: 99%