Automatic detection of paroxysmal atrial fibrillation in patients with ischaemic stroke: better than routine diagnostic workup? Article Swipe
Timo Uphaus
,
A. Grings
,
Sonja Gröschel
,
Andreas Müller
,
Mark Weber-Krüger
,
Rolf Wachter
,
Klaus Gröschel
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1111/ene.13326
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1111/ene.13326
Background and purpose Prolonged electrocardiogram ( ECG) monitoring after ischaemic stroke increases the diagnostic yield of paroxysmal atrial fibrillation ( pAF ). In order to facilitate the additional workload involved in ECG analysis due to prolonged monitoring times, we investigated the effectiveness of pAF detection with an automated software algorithm ( SA ) in comparison to the routine staff‐based analysis ( RA ) during standard stroke‐unit care. Therefore, patients with acute ischaemic stroke or transitory ischaemic attack presenting with sinus rhythmus on the admission ECG and no history of atrial fibrillation were prospectively included. Methods A 24‐h Holter ECG assessment was performed using either RA based on a computer‐aided evaluation and subsequent review by a cardiologist or a commercially available automated SA . In the case of discordant results concerning the occurrence of pAF between the two methods, the data underwent an independent external rating. Results Of 809 prospectively enrolled patients, 580 patients fulfilled the inclusion criteria. pAF was ultimately diagnosed in 3.3% of the cohort (19 patients). SA and RA correctly diagnosed pAF in 17 patients resulting in a comparable diagnostic effectiveness of the analysis methods (sensitivity: SA 89.5% vs. RA 89.5%; specificity: SA 99.3% vs. RA 99.1%; κ, 0.686; P < 0.001; 95% confidence interval, 0.525–0.847). RA revealed clinically relevant ECG abnormalities in an additional seven patients. Conclusions Although it should not completely replace RA , SA ‐based evaluation of Holter ECG reaches a high diagnostic effectiveness for the detection of pAF and can be used for a rapid and resource‐saving analysis of ECG data to deal with prolonged monitoring times.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1111/ene.13326
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/ene.13326
- OA Status
- hybrid
- Cited By
- 17
- References
- 16
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2616116314
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2616116314Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1111/ene.13326Digital Object Identifier
- Title
-
Automatic detection of paroxysmal atrial fibrillation in patients with ischaemic stroke: better than routine diagnostic workup?Work title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2017Year of publication
- Publication date
-
2017-05-15Full publication date if available
- Authors
-
Timo Uphaus, A. Grings, Sonja Gröschel, Andreas Müller, Mark Weber-Krüger, Rolf Wachter, Klaus GröschelList of authors in order
- Landing page
-
https://doi.org/10.1111/ene.13326Publisher landing page
- PDF URL
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/ene.13326Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/ene.13326Direct OA link when available
- Concepts
-
Medicine, Paroxysmal atrial fibrillation, Ischaemic stroke, Atrial fibrillation, Stroke (engine), Cardiology, Internal medicine, Mechanical engineering, EngineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
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17Total citation count in OpenAlex
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2025: 1, 2024: 1, 2021: 2, 2020: 4, 2019: 3Per-year citation counts (last 5 years)
- References (count)
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16Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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