Determine AF Burden With PPG Trial - Detection and Quantification of Episodes of Atrial Fibrillation
1 other identifier
interventional
360
1 country
1
Brief Summary
In this prospective single-center trial, a wearable photoplethysmographic (PPG) sensor coupled with a cloud analytics service will be used to detect and quantify atrial fibrillation (AF) episodes in patients with known paroxysmal AF. Patients will simultaneously receive the PPG sensor in form of a smartwatch or bracelet and a Holter ECG for 48 hours. Correctly identified AF episodes and AF burden determined by both methods will be compared.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Oct 2020
Typical duration for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
September 18, 2020
CompletedFirst Posted
Study publicly available on registry
September 24, 2020
CompletedStudy Start
First participant enrolled
October 13, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 28, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
July 30, 2022
CompletedNovember 15, 2022
November 1, 2022
1.8 years
September 18, 2020
November 14, 2022
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Number of AF episodes
Number of detected atrial fibrillation episodes by the PPG sensor and Preventicus Heartbeats algorithm during the 48h trial period compared to the Holter ECG.
48 hours
Secondary Outcomes (2)
AF Burden
48 hours
Asymptomatic AF episodes
48 hours
Study Arms (2)
PPG Smartwatch
EXPERIMENTALThe Preventicus Heartbeats algorithm ist a certified tool for detection of Atrial Fibrillation. It differentiates accurately between regular rhythm, single premature beats and the absolute arrhythmia concordant with AF. The Preventicus algorithm is device-agnostic, meaning that any wearable device capable of recording PPG-signals can be used for data collection. CardioWatch 287 is a novel non-invasive monitoring device manufactured by the MMT company. The device monitors heart rhythm, heart rate (HR) and respiratory rate (RR) based on peripheral PPG signal. In this arm, we will test the quality of the algorithm integrated into the smartwatch.
PPG Bracelet
EXPERIMENTALThe Preventicus Heartbeats algorithm ist a certified tool for detection of Atrial Fibrillation. It differentiates accurately between regular rhythm, single premature beats and the absolute arrhythmia concordant with AF. The Preventicus algorithm is device-agnostic, meaning that any wearable device capable of recording PPG-signals can be used for data collection. A PPG-sensor is also integrated into a bracelet "Basler Band" manufactured by the MMT company, which is a simplified multisensory device. In this arm, we will test the quality of the algorithm integrated into the bracelet.
Interventions
Participants will then receive a PPG sensor in form of a smartwatch) model and will be instructed to wear them continuously for 48 hours. Simultaneously, a 48-hour Holter ECG will be performed. Start time on the PPG-sensor and the Holter ECG will be matched and continuous heart rhythm and -rate monitoring will be initiated. Patients will wear the devices over a 48-hour period of time.
Eligibility Criteria
You may qualify if:
- Known paroxysmal atrial fibrillation
- Patient ≥ 18 years old
- Written informed consent as documented by signature from the patient
You may not qualify if:
- Cardiac implanted electronic device (Pacemaker, ICD)
- Smartwatch/Bracelet and/or ECG device cannot be worn due to comprehensible reasons (allergic reactions, wounds, amputations, other)
- Patients unable or not willing to sign informed consent Significant mental or cognitive impairment
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University Hospital, Basel, Switzerlandlead
- Preventicus GmbHcollaborator
- Manufacture Modules Technologies SAcollaborator
- GETEMED GmbHcollaborator
- Eurostarscollaborator
Study Sites (1)
Universitiy Hospital Basel
Basel, Canton of Basel-City, 4031, Switzerland
Related Publications (1)
Reissenberger P, Serfozo P, Piper D, Juchler N, Glanzmann S, Gram J, Hensler K, Tonidandel H, Borlin E, D'Souza M, Badertscher P, Eckstein J. Determine atrial fibrillation burden with a photoplethysmographic mobile sensor: the atrial fibrillation burden trial: detection and quantification of episodes of atrial fibrillation using a cloud analytics service connected to a wearable with photoplethysmographic sensor. Eur Heart J Digit Health. 2023 Jul 6;4(5):402-410. doi: 10.1093/ehjdh/ztad039. eCollection 2023 Oct.
PMID: 37794868DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Jens Eckstein, MD, PhD
University Hospital, Basel, Switzerland
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
September 18, 2020
First Posted
September 24, 2020
Study Start
October 13, 2020
Primary Completion
July 28, 2022
Study Completion
July 30, 2022
Last Updated
November 15, 2022
Record last verified: 2022-11
Data Sharing
- IPD Sharing
- Will not share