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Completed

NCT Number: NCT04563572

Determine AF Burden With PPG Trial - Detection and Quantification of Episodes of Atrial Fibrillation

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.

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Universitiy Hospital Basel

Basel, Canton of Basel-City, 4031, Switzerland

About this study

Atrial fibrillation (AF) is the most common cardiac arrhythmia and a major risk factor for cerebrovascular insults. Paroxysmal AF is defined as an episode of AF that terminates spontaneously or with intervention within 7 days. Patients with AF may present with palpitations, shortness of breath or sensation of light-headedness but asymptomatic episodes are also possible, especially in paroxysmal AF. The lack of continuous heart rate monitoring options makes early diagnosis of paroxysmal AF challenging. In this prospective single-center trial, the PPG wearable Corsano CardioWatch 287 sensor will be used to conduct continuous heart rate and -rhythm monitoring in patients with known paroxysmal AF. Collected data will then be analysed using a Cloud Analytics Service (Preventicus Heartbeats algorithm) and compared with data from simultaneously obtained 48-hour Holter ECG. Correctly identified AF episodes, their cumulative duration per 48 hours (AF burden) and the number of asymptomatic episodes will be assessed. In the primary analyses, the sensitivity of the PPG analysing algorithm to detect AF episodes is estimated by performing a logistic regression on detection (yes/no) with only an intercept as predictor, which is then translated to a proportion (the sensitivity). In the secondary analyses we are comparing the cumulative duration of AF episodes over 48 hours (AF burden) obtained with the PPG-sensor and Holter-ECG. In summary, the purpose of the study is to evaluate the performance and efficacy of the wearable PPG sensor and the cloud analytics service in detecting and quantifying AF episodes in patients with known history of paroxysmal AF.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Known paroxysmal atrial fibrillation
  • Patient ≥ 18 years old
  • Written informed consent as documented by signature from the patient

Exclusion criteria

  • 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

Treatment and study plan

PPG Smartwatch

Device

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.

Primary outcomes

  1. Number of AF episodes

    Time frame: 48 hours

    Number of detected atrial fibrillation episodes by the PPG sensor and Preventicus Heartbeats algorithm during the 48h trial period compared to the Holter ECG.

Secondary outcomes

  1. AF Burden

    Time frame: 48 hours

    Cumulative duration of AF episodes

  2. Asymptomatic AF episodes

    Time frame: 48 hours

    Number of asymptomatic AF episodes

Sponsors and collaborators

Lead sponsor

University Hospital, Basel, Switzerland

Other

Collaborators

  • Eurostars
  • GETEMED GmbH
  • Manufacture Modules Technologies SA
  • Preventicus GmbH

Registry information

Official study title

Determine AF Burden With PPG Trial - Detection and Quantification of Episodes of Atrial Fibrillation Using a Cloud Analytics Service Connected to a Wearable With Photoplethysmographic (PPG) Sensor

Important dates

Study start
2020
Primary completion
2022
Study completion
2022
First posted
Sep 24, 2020
Registry last updated
Nov 15, 2022

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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