Atrial Fibrillation Detection: 24 Hour Study

NCT ID: NCT03507335

Last Updated: 2021-05-04

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

100 participants

Study Classification

OBSERVATIONAL

Study Start Date

2018-04-09

Study Completion Date

2020-08-31

Brief Summary

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Aims Approximately 20-25% of strokes are of cardioembolic origin, atrial fibrillation (AF) being a significant cause of cardioembolic strokes. AF is often symptomless and intermittent, making its detection a clinical challenge. Currently the golden standard for diagnosis of AF is by 12-lead electrocardiogram (ECG) or any other ECG-strip.

The primary aim of the study is to assess the potential of chest strap as an ECG monitor especially in arrhythmia detection by cardiologist and algorithm. The secondary aim is to assess potential of photoplethysmography (PPG) based device for arrhythmia detection.

Detailed Description

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Study design:

Study design will be a prospective case-control study at Kuopio University Hospital (KUH) in Finland. Study material will be collected in internal medicine emergency department at KUH. The study design was approved by University of Eastern Finland ethics committee (347/2018).

Study participants will receive a written information sheet about the study and will be provided with an opportunity to ask questions concerning the study. A written informed consent will be signed by the participants, including a permission to use patient's medical records.

Screening of study participants will be made in participating hospitals from admitted patients in January 2018 - May 2019. The inclusion criteria for study group patients was atrial fibrillation confirmed by a doctor-interpreted 12-lead ECG . Exclusion criteria were: body mass index (BMI) over 35; implanted pacemaker device; 12-lead ECG findings of left bundle branch block (LBBB) or right bundle branch block (RBBB); medical condition requiring immediate treatment that would be delayed by the study measurements; serious infectious disease. Control group consisted of patients with normal sinus rhythm (SR) in 12-lead ECG.

Measurement

Demographics of study patients, including age, gender, previous medical history (as reported by patient or from patient medical records), length and weight , will be recorded.

Before measurements, the patient will be asked to rest for at least 2 minutes, and lay still during the measurements. First, a 12-lead ECG will taken over a period of 10 seconds for rhythm confirmation for study grouping. In the next step, altogether 5 wet electrodes will be attached to patient to record ECG with Faros 360 Holter device (Mega Elektroniikka, Kuopio, Finland) to be used as golden standard for rhythm monitoring. Simultaneously a heart rate monitoring chest strap (Suunto Movesense, Suunto, Vantaa, Finland) will applied to chest approximately 2 cm below the lower end of sternum, according to manufacturer's instructions. PPG-device (Empatica Empatica ltd, Milan, Italy) will be connected to non-dominating wrist. A total of 24 hous recording will be made. The data from heart rate chest strap will sent via Bluetooth connection to study computer; the data from Faros Holter device was recorded to device“s internal memory card and transferred to analyzing software. The data collected was anonymized and ECG data from chest strap and Holter device was analyzed using MATLAB software.

The quality of the ECG-strip will be defined as good (no or only minor artefacts), average (artefacts but QRS complex and/or P-wave identifiable) or poor (major artefacts, no identifiable QRS complex and/or P-wave) by the cardiologist. The rhythm from the ECG-strips was divided to three categories: sinus rhythm, atrial fibrillation or other/inconclusive. The cardiologists also assessed the possibility to detect P-waves from the ECG-strips with SR (yes/no).

The study population will consisted of total 200 patients. According to the initial 12-lead ECG, total 100 patients with atrial fibrillation will be collected, and control group will consist of 100 patients with normal sinus rhythm.

Conditions

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Arrhythmia Atrial Stroke

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

PROSPECTIVE

Study Groups

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Atrial fibrillation

Patients with atrial fibrillation during measurements

chest strap and PPG-device for monitoring the rhythm

Intervention Type DEVICE

chest strap and PPG-device for monitoring the rhythm during 24 hours for both groups (atrial fibrillation and sinus)

Sinus

Patients with sinus rhythm during measurements

chest strap and PPG-device for monitoring the rhythm

Intervention Type DEVICE

chest strap and PPG-device for monitoring the rhythm during 24 hours for both groups (atrial fibrillation and sinus)

Interventions

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chest strap and PPG-device for monitoring the rhythm

chest strap and PPG-device for monitoring the rhythm during 24 hours for both groups (atrial fibrillation and sinus)

Intervention Type DEVICE

Other Intervention Names

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Suunto Movesense, Suunto, Vantaa, Finland Empatica Empatica ltd, Milan, Italy

Eligibility Criteria

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Inclusion Criteria

Atrial fibrillation in 12-lead ECG and admission to hospital (n=50) Sinus rhythm in 12-lead ECG and admission to hospital (n=50)

Exclusion Criteria

* BMI\>35
* LBBB
* RBBB
* medical condition requiring immediate treatment
* serious infectious disease
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Kuopio University Hospital

OTHER

Sponsor Role lead

Responsible Party

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Tero Martikainen

Chief physician

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Tero J Martikainen, PhD

Role: STUDY_DIRECTOR

Kuopio University Hospital

Locations

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Kuopio University Hospital

Kuopio, East-Finland, Finland

Site Status

Countries

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Finland

References

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Kirchhof P, Benussi S, Kotecha D, Ahlsson A, Atar D, Casadei B, Castella M, Diener HC, Heidbuchel H, Hendriks J, Hindricks G, Manolis AS, Oldgren J, Popescu BA, Schotten U, Van Putte B, Vardas P, Agewall S, Camm J, Baron Esquivias G, Budts W, Carerj S, Casselman F, Coca A, De Caterina R, Deftereos S, Dobrev D, Ferro JM, Filippatos G, Fitzsimons D, Gorenek B, Guenoun M, Hohnloser SH, Kolh P, Lip GY, Manolis A, McMurray J, Ponikowski P, Rosenhek R, Ruschitzka F, Savelieva I, Sharma S, Suwalski P, Tamargo JL, Taylor CJ, Van Gelder IC, Voors AA, Windecker S, Zamorano JL, Zeppenfeld K. 2016 ESC Guidelines for the management of atrial fibrillation developed in collaboration with EACTS. Europace. 2016 Nov;18(11):1609-1678. doi: 10.1093/europace/euw295. Epub 2016 Aug 27. No abstract available.

Reference Type BACKGROUND
PMID: 27567465 (View on PubMed)

Nemati S, Ghassemi MM, Ambai V, Isakadze N, Levantsevych O, Shah A, Clifford GD. Monitoring and detecting atrial fibrillation using wearable technology. Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:3394-3397. doi: 10.1109/EMBC.2016.7591456.

Reference Type BACKGROUND
PMID: 28269032 (View on PubMed)

Thijs V. Atrial Fibrillation Detection: Fishing for An Irregular Heartbeat Before and After Stroke. Stroke. 2017 Oct;48(10):2671-2677. doi: 10.1161/STROKEAHA.117.017083. Epub 2017 Sep 15. No abstract available.

Reference Type BACKGROUND
PMID: 28916671 (View on PubMed)

Mairesse GH, Moran P, Van Gelder IC, Elsner C, Rosenqvist M, Mant J, Banerjee A, Gorenek B, Brachmann J, Varma N, Glotz de Lima G, Kalman J, Claes N, Lobban T, Lane D, Lip GYH, Boriani G; ESC Scientific Document Group. Screening for atrial fibrillation: a European Heart Rhythm Association (EHRA) consensus document endorsed by the Heart Rhythm Society (HRS), Asia Pacific Heart Rhythm Society (APHRS), and Sociedad Latinoamericana de Estimulacion Cardiaca y Electrofisiologia (SOLAECE). Europace. 2017 Oct 1;19(10):1589-1623. doi: 10.1093/europace/eux177. No abstract available.

Reference Type BACKGROUND
PMID: 29048522 (View on PubMed)

Freedman B, Camm J, Calkins H, Healey JS, Rosenqvist M, Wang J, Albert CM, Anderson CS, Antoniou S, Benjamin EJ, Boriani G, Brachmann J, Brandes A, Chao TF, Conen D, Engdahl J, Fauchier L, Fitzmaurice DA, Friberg L, Gersh BJ, Gladstone DJ, Glotzer TV, Gwynne K, Hankey GJ, Harbison J, Hillis GS, Hills MT, Kamel H, Kirchhof P, Kowey PR, Krieger D, Lee VWY, Levin LA, Lip GYH, Lobban T, Lowres N, Mairesse GH, Martinez C, Neubeck L, Orchard J, Piccini JP, Poppe K, Potpara TS, Puererfellner H, Rienstra M, Sandhu RK, Schnabel RB, Siu CW, Steinhubl S, Svendsen JH, Svennberg E, Themistoclakis S, Tieleman RG, Turakhia MP, Tveit A, Uittenbogaart SB, Van Gelder IC, Verma A, Wachter R, Yan BP; AF-Screen Collaborators. Screening for Atrial Fibrillation: A Report of the AF-SCREEN International Collaboration. Circulation. 2017 May 9;135(19):1851-1867. doi: 10.1161/CIRCULATIONAHA.116.026693.

Reference Type RESULT
PMID: 28483832 (View on PubMed)

Santala OE, Lipponen JA, Jantti H, Rissanen TT, Tarvainen MP, Laitinen TP, Laitinen TM, Castren M, Valiaho ES, Rantula OA, Naukkarinen NS, Hartikainen JEK, Halonen J, Martikainen TJ. Continuous mHealth Patch Monitoring for the Algorithm-Based Detection of Atrial Fibrillation: Feasibility and Diagnostic Accuracy Study. JMIR Cardio. 2022 Jun 21;6(1):e31230. doi: 10.2196/31230.

Reference Type DERIVED
PMID: 35727618 (View on PubMed)

Santala OE, Halonen J, Martikainen S, Jantti H, Rissanen TT, Tarvainen MP, Laitinen TP, Laitinen TM, Valiaho ES, Hartikainen JEK, Martikainen TJ, Lipponen JA. Automatic Mobile Health Arrhythmia Monitoring for the Detection of Atrial Fibrillation: Prospective Feasibility, Accuracy, and User Experience Study. JMIR Mhealth Uhealth. 2021 Oct 22;9(10):e29933. doi: 10.2196/29933.

Reference Type DERIVED
PMID: 34677135 (View on PubMed)

Other Identifiers

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KUH507P001

Identifier Type: -

Identifier Source: org_study_id

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