- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05337202
the Dutch-GERAF Study (GERAF)
The Dutch Multicentre Study Into Opportunistically Screening Geriatric Patients for Atrial Fibrillation Using a PPG Smartphone App; the Dutch-GERAF Study
Geriatric patients are at high risk of cardiovascular complications, and for the development of atrial fibrillation. Often atrial fibrillation exists in these patients without specific symptoms, and could therefore remain unknown. Furthermore, concerns exist about the bleeding profile of anticoagulation in the very elderly or frail patients.
This study applies opportunistic screening for atrial fibrillation as advised in the latest ESC Guideline on the diagnosis and management of atrial fibrillation. Furthermore, multiple bleeding risk scores will be applies, to better assess the bleeding risk in very elderly or frail patients.
Study Overview
Status
Conditions
Intervention / Treatment
Study Type
Enrollment (Actual)
Contacts and Locations
Study Contact
- Name: Lennaert Zwart, MSc
- Phone Number: 0031229257257
- Email: l.a.r.zwart@dijklander.nl
Study Locations
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Alkmaar, Netherlands, 1815 JD
- Noordwest Ziekenhuisgroep
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Amersfoort, Netherlands, 3813 TZ
- Meander Medisch Centrum
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Amsterdam, Netherlands, 1091 AC
- Onze Lieve Vrouwe Gasthuis
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Dordrecht, Netherlands, 3318 AT
- Albert Schweitzer Ziekenhuis
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Gelderland
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Arnhem, Gelderland, Netherlands, 6815 AD
- Rijnstate
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Noord-Holland
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Hoorn, Noord-Holland, Netherlands, 1624NP
- Dijklander ziekenhuis
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
All newly referred patients of 65 years and older that visit geriatric outpatient services are eligible (including Fall clinic, Memory clinic, Pre-operative geriatric assessment clinic, or any other geriatric outpatient clinics that are led by a geriatrician).
Exclusion Criteria:
- The patient has a pacemaker or implantable cardioverter defibrillator.
- The patient is known with a severe dementia, MoCA ≤ 15 points.
- The patient has a severe tremor, from whatever cause, and thus is unable to use the PPG based smartphone AF detection algorithm.
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Newly identified cases of atrial fibrillation
Time Frame: The first 6 months after recruitment for the study
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PPG or ECG detected new cases of atrial fibrillation
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The first 6 months after recruitment for the study
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Major bleeding
Time Frame: From recruitment until 3 years after the recruitment of the last participant
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Major bleeding, including intra cranial haemorrhage
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From recruitment until 3 years after the recruitment of the last participant
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Stroke
Time Frame: From recruitment until 3 years after the recruitment of the last participant
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Stroke
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From recruitment until 3 years after the recruitment of the last participant
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Death
Time Frame: From recruitment until 3 years after the recruitment of the last participant
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Death
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From recruitment until 3 years after the recruitment of the last participant
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Cognitive disorder
Time Frame: From recruitment until 3 years after the recruitment of the last participant
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Development of dementia, categorized by aetiology, during follow up
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From recruitment until 3 years after the recruitment of the last participant
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New Atrial Fibrillation, developed after the screening period
Time Frame: From recruitment until 3 years after the recruitment of the last participant
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New Atrial Fibrillation, developed after the screening period
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From recruitment until 3 years after the recruitment of the last participant
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Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: René Jansen, PhD, Northwest Hospital
Publications and helpful links
General Publications
- Hindricks G, Potpara T, Dagres N, Arbelo E, Bax JJ, Blomstrom-Lundqvist C, Boriani G, Castella M, Dan GA, Dilaveris PE, Fauchier L, Filippatos G, Kalman JM, La Meir M, Lane DA, Lebeau JP, Lettino M, Lip GYH, Pinto FJ, Thomas GN, Valgimigli M, Van Gelder IC, Van Putte BP, Watkins CL; ESC Scientific Document Group. 2020 ESC Guidelines for the diagnosis and management of atrial fibrillation developed in collaboration with the European Association for Cardio-Thoracic Surgery (EACTS): The Task Force for the diagnosis and management of atrial fibrillation of the European Society of Cardiology (ESC) Developed with the special contribution of the European Heart Rhythm Association (EHRA) of the ESC. Eur Heart J. 2021 Feb 1;42(5):373-498. doi: 10.1093/eurheartj/ehaa612. No abstract available. Erratum In: Eur Heart J. 2021 Feb 1;42(5):507. Eur Heart J. 2021 Feb 1;42(5):546-547. Eur Heart J. 2021 Oct 21;42(40):4194.
- Zwart LAR, Germans T, Simsek S, Ruiter JH, Jansen RWMM. Atrial fibrillation, anticoagulation and major bleeding in geriatric patients at risk of falling. OBM Geriatrics 2019, Volume 3, Issue 3, doi:10.21926/obm.geriatr.1903071
- Mol D, Riezebos RK, Marquering HA, Werner ME, Lobban TCA, de Jong JSSG, de Groot JR. Performance of an automated photoplethysmography-based artificial intelligence algorithm to detect atrial fibrillation. Cardiovasc Digit Health J. 2020 Oct 22;1(2):107-110. doi: 10.1016/j.cvdhj.2020.08.004. eCollection 2020 Sep-Oct. No abstract available.
- Zwart LA, Jansen RW, Ruiter JH, Germans T, Simsek S, Hemels ME. Opportunistic screening for atrial fibrillation with a single lead device in geriatric patients. J Geriatr Cardiol. 2020 Mar;17(3):149-154. doi: 10.11909/j.issn.1671-5411.2020.03.007.
- Searle SD, Mitnitski A, Gahbauer EA, Gill TM, Rockwood K. A standard procedure for creating a frailty index. BMC Geriatr. 2008 Sep 30;8:24. doi: 10.1186/1471-2318-8-24.
- Rockwood K, Mitnitski A. Frailty in relation to the accumulation of deficits. J Gerontol A Biol Sci Med Sci. 2007 Jul;62(7):722-7. doi: 10.1093/gerona/62.7.722.
- Moraes JL, Rocha MX, Vasconcelos GG, Vasconcelos Filho JE, de Albuquerque VHC, Alexandria AR. Advances in Photopletysmography Signal Analysis for Biomedical Applications. Sensors (Basel). 2018 Jun 9;18(6):1894. doi: 10.3390/s18061894.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- WB 694
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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