NCT04563572

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

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
360

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started Oct 2020

Typical duration for not_applicable

Geographic Reach
1 country

1 active site

Status
completed

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

Completed
6 days until next milestone

First Posted

Study publicly available on registry

September 24, 2020

Completed
19 days until next milestone

Study Start

First participant enrolled

October 13, 2020

Completed
1.8 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

July 28, 2022

Completed
2 days until next milestone

Study Completion

Last participant's last visit for all outcomes

July 30, 2022

Completed
Last Updated

November 15, 2022

Status Verified

November 1, 2022

Enrollment Period

1.8 years

First QC Date

September 18, 2020

Last Update Submit

November 14, 2022

Conditions

Keywords

WearablesAF BurdenPhotoplethysmography (PPG)Atrial Fibrillation

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

EXPERIMENTAL

The 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.

Device: PPG Smartwatch

PPG Bracelet

EXPERIMENTAL

The 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.

Device: PPG Smartwatch

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.

PPG BraceletPPG Smartwatch

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

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

Study Sites (1)

Universitiy Hospital Basel

Basel, Canton of Basel-City, 4031, Switzerland

Location

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.

MeSH Terms

Conditions

Atrial Fibrillation

Condition Hierarchy (Ancestors)

Arrhythmias, CardiacHeart DiseasesCardiovascular DiseasesPathologic ProcessesPathological Conditions, Signs and Symptoms

Study Officials

  • Jens Eckstein, MD, PhD

    University Hospital, Basel, Switzerland

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NON RANDOMIZED
Masking
NONE
Purpose
DIAGNOSTIC
Intervention Model
PARALLEL
Model Details: Participants will receive a PPG sensor in form of a smartwatch or a bracelet and will be instructed to wear them continuously for 48 hours. Assigning patients to the smartwatch or the bracelet group will occur in an alternating fashion.
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

Locations