Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/18222
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dc.contributor.authorAdami, Alessandro-
dc.contributor.authorGentile, Carolina-
dc.contributor.authorHepp, Thomas-
dc.contributor.authorMolon, Giulio-
dc.contributor.authorGigli, Gian Luigi-
dc.contributor.authorValente, Mariarosaria-
dc.contributor.authorThijs, Vincent N-
dc.date2018-07-03-
dc.date.accessioned2018-08-24T06:51:39Z-
dc.date.available2018-08-24T06:51:39Z-
dc.date.issued2019-06-
dc.identifier.citationTranslational stroke research 2019; 10(3): 273-278-
dc.identifier.urihttp://ahro.austin.org.au/austinjspui/handle/1/18222-
dc.description.abstractPatients 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.-
dc.language.isoeng-
dc.subjectAtrial fibrillation-
dc.subjectContinuous cardiac monitoring-
dc.subjectHeart rate variability-
dc.subjectStroke-
dc.titleElectrocardiographic RR Interval Dynamic Analysis to Identify Acute Stroke Patients at High Risk for Atrial Fibrillation Episodes During Stroke Unit Admission.-
dc.typeJournal Article-
dc.identifier.journaltitleTranslational stroke research-
dc.identifier.affiliationStroke Center, Ospedale Sacro Cuore-Don Calabria, Negrar, Verona, Italy-
dc.identifier.affiliationApoplex Medical Technologies GmbH, Pirmasens, Germany-
dc.identifier.affiliationCardiology Department, Ospedale Sacro Cuore-Don Calabria, Negrar, Verona, Italy-
dc.identifier.affiliationNeurology Clinic, University of Udine, Udine, Italy-
dc.identifier.affiliationStroke Division, The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Heidelberg, Victoria, Australia-
dc.identifier.doi10.1007/s12975-018-0645-8-
dc.identifier.orcid0000-0002-9163-4900-
dc.identifier.orcid0000-0002-6614-8417-
dc.identifier.pubmedid29971705-
dc.type.austinJournal Article-
item.languageiso639-1en-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeJournal Article-
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
crisitem.author.deptNeurology-
crisitem.author.deptThe Florey Institute of Neuroscience and Mental Health-
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