Enhanced Diagnostics for Early Detection of Atrial Fibrillation - Prospective Validation

NCT ID: NCT02949180

Last Updated: 2017-12-13

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

672 participants

Study Classification

OBSERVATIONAL

Study Start Date

2016-10-31

Study Completion Date

2017-11-30

Brief Summary

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Prospective, blinded, multicenter international trial to test the Preventicus Heartbeats App in a prospective cohort.

Detailed Description

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Introduction This algorithm was validated earlier in a clinical trial with retrospective Data. The results were published accordingly.The algorithm is implemented in the commercial App Preventicus Heartbeats. DETECT AF is designed as prospective follow up trial.

Study design Prospective, blinded, multicenter international trial.

Methods

The subjects will be asked to position a smartphone on their index finger to allow their pulse curve to be recorded for five minutes. At the same time, an ecg will be recorded using an digital mobile ecg recorder as a reference.

Data will be collected on person-related information, comorbidities and medication (estimated overall duration/patient \<20 min). No follow-up is planned. Analogous to predecessor studies, the pulse wave curve data are coded with the patient's identification number (ID) and externally analyzed at Preventicus; based on the results, the subjects will be assigned to SR/AF groups. After evaluation of all files, the grouped results will be aggregated, unblinded and evaluated under monitoring.

Primary target parameters are the app's sensitivity and specificity in correctly detecting atrial fibrillation compared to an automatically interpreted ECG.

Secondary target parameters include the proportion of non-evaluable recordings in the overall study.

Conditions

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Atrium; Fibrillation Arrhythmia Atrial

Keywords

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Atrial fibrillation Rhythm monitoring Cardiovascular App m-health

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

PROSPECTIVE

Study Groups

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AF

Five minutes puls wave recording will be performed in patients in atrial fibrillation at time of recruitment

Five minutes puls wave recording

Intervention Type DEVICE

iPhone will be positioned on the index finger for five minutes to record a pulse wave

SR

Five minutes puls wave recording will be performed in patients in sinus rhythm at time of recruitment

Five minutes puls wave recording

Intervention Type DEVICE

iPhone will be positioned on the index finger for five minutes to record a pulse wave

Interventions

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Five minutes puls wave recording

iPhone will be positioned on the index finger for five minutes to record a pulse wave

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* Subjects of legal age,
* patients with either sinus rhythm (Group SR) or atrial fibrillation (Group AF)
* informed consent

Exclusion Criteria

* Legally incompetent persons
Minimum Eligible Age

18 Years

Maximum Eligible Age

99 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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University Hospital Greifswald

OTHER

Sponsor Role collaborator

University Hospital, Basel, Switzerland

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Jens Eckstein, MD, PhD

Role: PRINCIPAL_INVESTIGATOR

Universityhospital Basel

Locations

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University Hospital Greifswald

Greifswald, , Germany

Site Status

University Hospital Basel

Basel, Canton of Basel-City, Switzerland

Site Status

Countries

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Germany Switzerland

References

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Krivoshei L, Weber S, Burkard T, Maseli A, Brasier N, Kuhne M, Conen D, Huebner T, Seeck A, Eckstein J. Smart detection of atrial fibrillationdagger. Europace. 2017 May 1;19(5):753-757. doi: 10.1093/europace/euw125.

Reference Type RESULT
PMID: 27371660 (View on PubMed)

Brasier N, Raichle CJ, Dorr M, Becke A, Nohturfft V, Weber S, Bulacher F, Salomon L, Noah T, Birkemeyer R, Eckstein J. Detection of atrial fibrillation with a smartphone camera: first prospective, international, two-centre, clinical validation study (DETECT AF PRO). Europace. 2019 Jan 1;21(1):41-47. doi: 10.1093/europace/euy176.

Reference Type DERIVED
PMID: 30085018 (View on PubMed)

Other Identifiers

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2016-01176

Identifier Type: -

Identifier Source: org_study_id