Please use this identifier to cite or link to this item: http://ahro.austin.org.au/austinjspui/handle/1/18222
Title: Electrocardiographic RR Interval Dynamic Analysis to Identify Acute Stroke Patients at High Risk for Atrial Fibrillation Episodes During Stroke Unit Admission.
Authors: Adami, Alessandro;Gentile, Carolina;Hepp, Thomas;Molon, Giulio;Gigli, Gian Luigi;Valente, Mariarosaria;Thijs, Vincent N
Affiliation: Stroke Center, Ospedale Sacro Cuore-Don Calabria, Negrar, Verona, Italy
Apoplex Medical Technologies GmbH, Pirmasens, Germany
Cardiology Department, Ospedale Sacro Cuore-Don Calabria, Negrar, Verona, Italy
Neurology Clinic, University of Udine, Udine, Italy
Stroke Division, The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Heidelberg, Victoria, Australia
Issue Date: 3-Jul-2018
EDate: 2018
Citation: Translational stroke research 2018; online first: 3 July
Abstract: Patients at short-term risk of paroxysmal atrial fibrillation (PAF) often exhibit increased RR interval variability during sinus rhythm. We studied if RR dynamic analysis, applied in the first hours after stroke unit (SU) admission, identified acute ischemic stroke patients at higher risk for subsequent PAF episodes detected within the SU hospitalization. Acute ischemic stroke patients underwent continuous cardiac monitoring (CCM) using standard bedside monitors immediately after SU admission. The CCM tracks from the first 48 h were analyzed using a telemedicine service (SRA clinic, Apoplex Medical, Germany). Based on the RR dynamics, the stroke risk analysis (SRA) algorithm stratified the risk for PAF as follows: low risk for PAF, high risk for PAF, presence of manifest AF. The subsequent presence/absence of PAF during the whole SU hospitalization was ruled out using all available CCMs, standard ECGs, or 24-h Holter ECGs. Two hundred patients (40% females, mean age 71 ± 16 years) were included. According to the initial SRA analysis, 111 patients (56%) were considered as low risk for PAF, 52 (26%) as high risk while 37 patients (18%) had manifest AF. A low-risk level SRA was associated with a reduced probability for subsequent PAF detection (1/111, 0.9%, 95% CI 0-4.3%) while a high-risk level SRA predicted an increased probability (20/52, 38.5% (95% CI 25-52%). RR dynamic analysis performed in the first hours after ischemic stroke may stratify patients into categories at low or high risk for forthcoming paroxysmal AF episodes detected within the SU hospitalization.
URI: http://ahro.austin.org.au/austinjspui/handle/1/18222
DOI: 10.1007/s12975-018-0645-8
ORCID: 0000-0002-9163-4900
0000-0002-6614-8417
PubMed URL: 29971705
Type: Journal Article
Subjects: Atrial fibrillation
Continuous cardiac monitoring
Heart rate variability
Stroke
Appears in Collections:Journal articles

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