Evaluation of atrial fibrillation using wearable device signals and home blood pressure data in the Michigan Predictive Activity & Clinical Trajectories in Health (MIPACT) Study: A Subgroup Analysis (MIPACT-AFib) Article Swipe
Aishwarya Pastapur
,
Nicole A. Pescatore
,
Nirav Shah
,
Sachin Kheterpal
,
Brahmajee K. Nallamothu
,
Jessica R. Golbus
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3389/fcvm.2023.1243574
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3389/fcvm.2023.1243574
Background The rising adoption of wearable technology increases the potential to identify arrhythmias. However, specificity of these notifications is poorly defined and may cause anxiety and unnecessary resource utilization. Herein, we report results of a follow-up screening protocol for incident atrial fibrillation/flutter (AF) within a large observational digital health study. Methods The MIPACT Study enrolled 6,765 adult patients who were provided an Apple Watch and blood pressure (BP) monitors. From March to July 2019, participants were asked to contact the study team for any irregular heart rate (HR) notification. They were assessed using structured questionnaires and asked to provide 6 Apple Watch EKGs. Those with arrhythmias or non-diagnostic EKGs were sent 7-day monitors. The EHR was reviewed after 3 years to determine if participants developed arrhythmias. Results 86 participants received notifications and met inclusion criteria. Mean age was 50.5 (SD 16.9) years, and 46 (53.3%) were female. Of 76 participants assessed by the study team, 32 (42.1%) reported anxiety surrounding notifications. Of 59 participants who sent at least 1 EKG, 52 (88.1%) were in sinus rhythm, 3 (5.1%) AF, 2 (3.4%) indeterminate, and 2 (3.4%) sinus bradycardia. Cardiac monitor demonstrated AF in 2 of 3 participants with AF on Apple Watch EKGs. 2 contacted their PCPs and were diagnosed with AF. In total, 5 cases of AF were diagnosed with 1 additional case identified during EHR review. Conclusion Wearable devices produce alarms that can frequently be anxiety provoking. Research is needed to determine the implications of these alarms and appropriate follow-up.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fcvm.2023.1243574
- https://www.frontiersin.org/articles/10.3389/fcvm.2023.1243574/pdf?isPublishedV2=False
- OA Status
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- Cited By
- 1
- References
- 9
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4390037605
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4390037605Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/fcvm.2023.1243574Digital Object Identifier
- Title
-
Evaluation of atrial fibrillation using wearable device signals and home blood pressure data in the Michigan Predictive Activity & Clinical Trajectories in Health (MIPACT) Study: A Subgroup Analysis (MIPACT-AFib)Work title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-12-20Full publication date if available
- Authors
-
Aishwarya Pastapur, Nicole A. Pescatore, Nirav Shah, Sachin Kheterpal, Brahmajee K. Nallamothu, Jessica R. GolbusList of authors in order
- Landing page
-
https://doi.org/10.3389/fcvm.2023.1243574Publisher landing page
- PDF URL
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https://www.frontiersin.org/articles/10.3389/fcvm.2023.1243574/pdf?isPublishedV2=FalseDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.frontiersin.org/articles/10.3389/fcvm.2023.1243574/pdf?isPublishedV2=FalseDirect OA link when available
- Concepts
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Medicine, Atrial fibrillation, Atrial flutter, Anxiety, Observational study, Sinus bradycardia, Sinus rhythm, Sinus tachycardia, Internal medicine, Cardiology, Blood pressure, Heart rate, Bradycardia, Physical therapy, Emergency medicine, PsychiatryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
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- Related works (count)
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10Other works algorithmically related by OpenAlex
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