Unique ID issued by UMIN | UMIN000046696 |
---|---|
Receipt number | R000053273 |
Scientific Title | Prediction of development and severity of heart failure by machine learning of heart rate variability analysis index |
Date of disclosure of the study information | 2022/01/22 |
Last modified on | 2022/07/24 17:20:48 |
Prediction of development and severity of heart failure by machine learning of Holter ECG test
HFHRV
Prediction of development and severity of heart failure by machine learning of heart rate variability analysis index
HFHRV
Japan |
Heart failure
Cardiology |
Others
NO
We aim to develop a model to predict the onset, recurrence, and severity of heart failure by adding indicators related to sleep apnea, unstable respiratory control, and heart rate fragmentation to the conventional heart rate variability indicators of Holter ECG, and verify the accuracy of the model by machine learning.
Efficacy
cardiac death or heart failure admission
decrease in left ventricular ejection fraction [LVEF] to 35% or less, all cause death, cardiac death, heart failure admission
Observational
20 | years-old | <= |
Not applicable |
Male and Female
1. Outpatients or stable inpatients at our hospital with left ventricular systolic dysfunction
2. Outpatients or stable inpatients at our hospital with chronic heart failure in sinus rhythm
3. Outpatients or stable inpatients at our hospital with chronic heart failure in atrial fibrillation
Patients who did not give consent for this study, or patients deemed inappropriate by the principal investigator or sub-investigator
500
1st name | Hideo |
Middle name | |
Last name | Izawa |
Fujita Health University School of Medicine
Department of Cardiology
470-1192
1-98 Dengakugakubo, Kutsukake, Toyoake, Aichi
0562-93-2312
izawa@fujita-hu.ac.jp
1st name | Hideo |
Middle name | |
Last name | Izawa |
Fujita Health University
Department of Cardiology
470-1192
1-98 Dengakugakubo, Kutsukake, Toyoake, Aichi
0562-93-2312
izawa@fujita-hu.ac.jp
Fujita Health University
Suzuken Memorial Foundation
Non profit foundation
Fujita Health University
1-98 Dengakugakubo, Kutsukake, Toyoake, Aichi
0562-93-2000
f-irb@fujita-hu.ac.jp
NO
2022 | Year | 01 | Month | 22 | Day |
Unpublished
500
No longer recruiting
2020 | Year | 08 | Month | 20 | Day |
2021 | Year | 02 | Month | 26 | Day |
2021 | Year | 03 | Month | 01 | Day |
2026 | Year | 12 | Month | 31 | Day |
Observations included death or heart failure readmission, new appearance of atrial fibrillation, and reduction of left ventricular ejection fraction to 35%.
2022 | Year | 01 | Month | 22 | Day |
2022 | Year | 07 | Month | 24 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000053273