UMIN-CTR Clinical Trial

Unique ID issued by UMIN UMIN000061039
Receipt number R000069564
Scientific Title Clinical implications of the framework for early detection of atrial fibrillation and initiation of anti-coagulation therapy using the risk alert system derived from electrocardiogram analyzed with artificial intelligence (CVI ARO 19)
Date of disclosure of the study information 2026/04/01
Last modified on 2026/03/24 16:50:36

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Basic information

Public title

Clinical implications of the framework for early detection of atrial fibrillation and initiation of anti-coagulation therapy using the risk alert system derived from electrocardiogram analyzed with artificial intelligence (CVI ARO 19)

Acronym

Clinical implications of the framework for early detection of atrial fibrillation and initiation of anti-coagulation therapy using the risk alert system derived from electrocardiogram analyzed with artificial intelligence (CVI ARO 19)

Scientific Title

Clinical implications of the framework for early detection of atrial fibrillation and initiation of anti-coagulation therapy using the risk alert system derived from electrocardiogram analyzed with artificial intelligence (CVI ARO 19)

Scientific Title:Acronym

Clinical implications of the framework for early detection of atrial fibrillation and initiation of anti-coagulation therapy using the risk alert system derived from electrocardiogram analyzed with artificial intelligence (CVI ARO 19)

Region

Japan


Condition

Condition

Patients visiting a cardiovascular specialty hospital

Classification by specialty

Cardiology

Classification by malignancy

Others

Genomic information

NO


Objectives

Narrative objectives1

To evaluate the availability of real-time risk alert for atrial fibrillation using AI-enhanced ECG by comparing the rate of screening test, detection rate of atria fibrillation, rate of prescription of DOAC, and prognosis before and after implementation of the risk alert system.

Basic objectives2

Others

Basic objectives -Others

Changes in care before and after implementation of the alert system.

Trial characteristics_1


Trial characteristics_2


Developmental phase



Assessment

Primary outcomes

Number of 12-lead ECG, Holter ECG, and long-term Holter ECG and detection rate of atrial fibrillation in our hospital.

Key secondary outcomes



Base

Study type

Observational


Study design

Basic design


Randomization


Randomization unit


Blinding


Control


Stratification


Dynamic allocation


Institution consideration


Blocking


Concealment



Intervention

No. of arms


Purpose of intervention


Type of intervention


Interventions/Control_1


Interventions/Control_2


Interventions/Control_3


Interventions/Control_4


Interventions/Control_5


Interventions/Control_6


Interventions/Control_7


Interventions/Control_8


Interventions/Control_9


Interventions/Control_10



Eligibility

Age-lower limit

18 years-old <=

Age-upper limit


Not applicable

Gender

Male and Female

Key inclusion criteria

All the ambulant patients in our hospital who underwent ECG who consented to participate in the study

Key exclusion criteria

Patients who do not consent to participate in the study

Target sample size

5000


Research contact person

Name of lead principal investigator

1st name Shinya
Middle name
Last name Suzuki

Organization

The Cardiovascular Institute

Division name

Department of Cardiovascular Medicine

Zip code

106-0031

Address

3-2-19 Nishi-Azabu, Minato-ku, Tokyo, Japan

TEL

03-3408-2151

Email

s-suzuki@cvi.or.jp


Public contact

Name of contact person

1st name Shinya
Middle name
Last name Suzuki

Organization

The Cardiovascular Institute

Division name

Department of Cardiovascular Medicine

Zip code

106-0031

Address

3-2-19 Nishi-Azabu, Minato-ku, Tokyo, Japan

TEL

03-3408-2151

Homepage URL


Email

s-suzuki@cvi.or.jp


Sponsor or person

Institute

The Cardiovascular Institute

Institute

Department

Personal name



Funding Source

Organization

None

Organization

Division

Category of Funding Organization

Self funding

Nationality of Funding Organization



Other related organizations

Co-sponsor

Nihon Kohden Corporation

Name of secondary funder(s)



IRB Contact (For public release)

Organization

The Cardiovascular Institute

Address

3-2-19 Nishi-Azabu, Minato-ku, Tokyo, Japan

Tel

03-3408-2151

Email

matsuda@cvi.or.jp


Secondary IDs

Secondary IDs

NO

Study ID_1


Org. issuing International ID_1


Study ID_2


Org. issuing International ID_2


IND to MHLW



Institutions

Institutions



Other administrative information

Date of disclosure of the study information

2026 Year 04 Month 01 Day


Related information

URL releasing protocol


Publication of results

Unpublished


Result

URL related to results and publications


Number of participants that the trial has enrolled


Results


Results date posted


Results Delayed


Results Delay Reason


Date of the first journal publication of results


Baseline Characteristics


Participant flow


Adverse events


Outcome measures


Plan to share IPD


IPD sharing Plan description



Progress

Recruitment status

Open public recruiting

Date of protocol fixation

2023 Year 01 Month 12 Day

Date of IRB

2023 Year 03 Month 28 Day

Anticipated trial start date

2023 Year 04 Month 01 Day

Last follow-up date

2028 Year 03 Month 31 Day

Date of closure to data entry


Date trial data considered complete


Date analysis concluded



Other

Other related information

The association of diagnostic probability of atrial fibrillation using AI-enhanced ECG and diagnostic rate of atrial fibrillation


Management information

Registered date

2026 Year 03 Month 24 Day

Last modified on

2026 Year 03 Month 24 Day



Link to view the page

Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000069564