UMIN-CTR Clinical Trial

Unique ID issued by UMIN UMIN000042073
Receipt number R000048014
Scientific Title Machine learning prediction of Heart failure and Arrythmia using the mobile self-monitoring ECG devices
Date of disclosure of the study information 2020/10/11
Last modified on 2023/04/14 15:02:06

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Basic information

Public title

Machine learning prediction of Heart failure and Arrythmia using the mobile self-monitoring ECG devices

Acronym

Machine learning prediction of Heart failure and Arrythmia using the mobile self-monitoring ECG devices

Scientific Title

Machine learning prediction of Heart failure and Arrythmia using the mobile self-monitoring ECG devices

Scientific Title:Acronym

Machine learning prediction of Heart failure and Arrythmia using the mobile self-monitoring ECG devices

Region

Japan


Condition

Condition

Heart failure, Arrhythmia

Classification by specialty

Cardiology

Classification by malignancy

Others

Genomic information

NO


Objectives

Narrative objectives1

prediction of heart failure and arrhythmia

Basic objectives2

Efficacy

Basic objectives -Others


Trial characteristics_1


Trial characteristics_2


Developmental phase



Assessment

Primary outcomes

Onset of heart failure
Onset of arrhythmia (atrial fibrillation)

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

20 years-old <=

Age-upper limit


Not applicable

Gender

Male and Female

Key inclusion criteria

Adult patients with heart failure and healthy individuals,20 years old or older

Key exclusion criteria

Individual under 20 years

Target sample size

500


Research contact person

Name of lead principal investigator

1st name Katsuhito
Middle name
Last name Fujiu

Organization

University of Tokyo

Division name

Department of Cardiovascular Medicine

Zip code

113-8655

Address

7-3-1 Hongo Bunkyo-Ku

TEL

0338155411

Email

fujiu-tky@umin.ac.jp


Public contact

Name of contact person

1st name Eriko
Middle name
Last name Hasumi

Organization

University of Tokyo

Division name

Department of Cardiovascular Medicine

Zip code

113-8655

Address

7-3-1 Hongo Bunkyo-Ku

TEL

0338155411

Homepage URL


Email

ehasumi-circ@umin.ac.jp


Sponsor or person

Institute

University of Tokyo

Institute

Department

Personal name



Funding Source

Organization

University of Tokyo

Organization

Division

Category of Funding Organization

Self funding

Nationality of Funding Organization

Japan


Other related organizations

Co-sponsor

SIMPLEX QUANTUM

Name of secondary funder(s)



IRB Contact (For public release)

Organization

The University of Tokyo Hospital

Address

7-3-1 Hongo, Bunkyo-ku, Tokyo

Tel

0338155411

Email

ethics@m.u-tokyo.ac.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

2020 Year 10 Month 11 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

Enrolling by invitation

Date of protocol fixation

2020 Year 05 Month 23 Day

Date of IRB

2020 Year 05 Month 23 Day

Anticipated trial start date

2020 Year 06 Month 01 Day

Last follow-up date

2025 Year 04 Month 30 Day

Date of closure to data entry


Date trial data considered complete


Date analysis concluded



Other

Other related information

ECG data obtained from adults participants using the single-lead ECG devices, and other clinical information are analyzed and evaluated.


Management information

Registered date

2020 Year 10 Month 11 Day

Last modified on

2023 Year 04 Month 14 Day



Link to view the page

Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000048014


Research Plan
Registered date File name
2022/04/13 資料1研究計画書_20200307.docx

Research case data specifications
Registered date File name

Research case data
Registered date File name