Unique ID issued by UMIN | UMIN000058923 |
---|---|
Receipt number | R000067309 |
Scientific Title | Development of a collaborative platform for building an algorithm and an integrated AI model for early detection of worsening of heart failure through non-invasive remote monitoring |
Date of disclosure of the study information | 2025/09/01 |
Last modified on | 2025/08/29 09:40:33 |
Heart failure Early Alert through Remote Telemonitoring - Monitoring and Prediction algorithm
HEART-MAP
Development of a collaborative platform for building an algorithm and an integrated AI model for early detection of worsening of heart failure through non-invasive remote monitoring
HEART-MAP
Japan |
heart failure
Cardiology |
Others
NO
- Development of a prediction algorithm using non-invasive devices
- Development of an integrated prediction algorithm using AI
- Implementation of an AI algorithm using a PHR app
Others
- Development of a home biomarker monitoring system
The incidence rate within one year of the following events and their predictive accuracy:
- Readmission due to worsening heart failure
The incidence and prevalence of the following events within one year and their predictive accuracy are evaluated.
1) Intensification of treatment or unplanned outpatient visits due to worsening heart failure (including cases without rehospitalization)
2) A composite endpoint of readmission due to worsening heart failure and all-cause mortality
3) A composite endpoint of readmission due to worsening heart failure and cardiovascular mortality
4) All-cause mortality
5) Cardiovascular mortality
6) Sudden death
7) Occurrence of a 100% increase or 600pg/mL increase in NT-pro BNP from discharge
8) Onset of MCI
9) Prevalence of cognitive impairment
10) Onset of cognitive impairment
11) Prevalence of signs of frailty
12) Onset of signs of frailty
13) Prevalence of IADL (instrumental activities of daily living) impairment
14) Onset of IADL impairment
15) Safety and issue identification of wearable devices
16) Image quality of chest X-rays using low-dose portable X-ray equipment in patients with heart failure
Observational
18 | years-old | <= |
Not applicable |
Male and Female
- Patients aged 18 years or older at the time of consent
- Patients hospitalized or receiving outpatient treatment with a diagnosis of heart failure, or Taiyo Life insurance policyholders with a history of hospitalization for heart failure
- Patients for whom written consent has been obtained
- Electricity data will be collected from patients who, in principle, live alone (however, patients living with up to four people are also accepted) and are aged 55 years or older at the time of consent.
- Patients using or planning to use circulatory support (ECMO, LVAD, etc.)
- Patients undergoing dialysis treatment
- Pregnant patients
- Patients with limb disorders or other conditions that make it difficult to wear wearable devices on both wrists
- Patients unable to speak spontaneously
- Patients with obvious dementia (diagnosed with dementia, cognitive impairment severe enough to make it difficult to explain the study, etc.)
- Patients who are otherwise deemed inappropriate for this study by the attending physician
400
1st name | Chisato |
Middle name | |
Last name | Izumi |
National Cerebral and Cardiovascular Center
Department of Heart Failure and Transplantation
564-8565
6-1 Kishibe-Shinmachi, Suita, Osaka 564-8565, Japan
0661701070
izumi-ch@ncvc.go.jp
1st name | Chisato |
Middle name | |
Last name | Izumi |
National Cerebral and Cardiovascular Center
Department of Heart Failure and Transplantation
564-8565
6-1 Kishibe-Shinmachi, Suita, Osaka 564-8565, Japan
0661701070
aimgain@ncvc.go.jp
National Cerebral and Cardiovascular Center
Japan Agency for Medical Research and Development
Government offices of other countries
Regional Data Core inc., GPx Japan (General Prognostics), TMS Co., Ltd., (KK) Mediest, Mizuho Bank, Ltd, TAIYO LIFE AGING SOCIETY INSTITUTE, SMK Corporation, TOPPAN Holdings Inc., ICI Inc., TEPCO Power Grid, Inc., Eiken Chemical Co., Ltd.
National Cerebral and Cardiovascular Center Research Ethics Committee
6-1 Kishibe-Shinmachi, Suita, Osaka 564-8565, Japan
0661701070
rec-office-ac@ncvc.go.jp
NO
国立大学法人 京都大学、国立大学法人 神戸大学、国立大学法人 高知大学、リージョナルデータコア株式会社、株式会社GPx Japan、TMS株式会社、株式会社Mediest、株式会社 みずほ銀行、株式会社太陽生命少子高齢社会研究所、SMK株式会社、TOPPANホールディングス株式会社、ICI株式会社、東京電力パワーグリッド株式会社、栄研科学株式会社
2025 | Year | 09 | Month | 01 | Day |
Unpublished
Preinitiation
2025 | Year | 08 | Month | 12 | Day |
2025 | Year | 08 | Month | 20 | Day |
2025 | Year | 08 | Month | 25 | Day |
2031 | Year | 12 | Month | 31 | Day |
Subjects who consent will be followed for one year (electrical power data will be for two years).
Patient background, medications, physical examination findings, test results, event information, etc. will be collected at the medical institutions conducting the study, and subjects will be asked to fill out a questionnaire.
Subjects will also be asked to collect healthcare data at home using a smartwatch, record their voice, draw blood at home, and collect power data (electrical power only for subjects aged 55 or older and living with four or fewer people).
This information will be used to develop a predictive algorithm that will enable early detection of worsening heart failure and MCI.
2025 | Year | 08 | Month | 29 | Day |
2025 | Year | 08 | Month | 29 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000067309