Unique ID issued by UMIN | UMIN000036436 |
---|---|
Receipt number | R000041517 |
Scientific Title | Predicting for development of delirium in intensive care unit using bedside physiological monitoring |
Date of disclosure of the study information | 2019/05/01 |
Last modified on | 2022/04/08 09:55:48 |
Predicting for development of delirium in intensive care unit using bedside physiological monitoring
Predicting for development of delirium in intensive care unit using bedside physiological monitoring
Predicting for development of delirium in intensive care unit using bedside physiological monitoring
Predicting for development of delirium in intensive care unit using bedside physiological monitoring
Japan |
cardiovascular surgery
Cardiovascular surgery |
Others
NO
Can we predict the onset of delirium in the intensive care unit using bedside physiological monitoring?
Efficacy
Can we predict the onset of delirium in the intensive care unit using bedside physiological monitoring?
Observational
65 | years-old | <= |
Not applicable |
Male and Female
Open-heart surgery and major vessel surgery
History of mental illness
Patients with dementia
Unconscious
The person in charge of research judged it to be inappropriate
40
1st name | Maiko |
Middle name | |
Last name | Satomoto |
Toho University
Anesthesiology
1438541
6-11-1, Omori-Nishi, Ota-ku, Tokyo 143-8541, Japan
0337624151
maiko.satomoto@med.toho-u.ac.jp
1st name | Maiko |
Middle name | |
Last name | Satomoto |
Toho University
Research consultation desk
1438541
6-11-1, Omori-Nishi, Ota-ku, Tokyo 143-8541, Japan
0337624151
maiko.satomoto@med.toho-u.ac.jp
Toho University
Ministry of Education, Culture, Sports, Science and Technology
Japanese Governmental office
Toho University
Ota-ku
0337624161
maiko.satomoto@med.toho-u.ac.jp
NO
2019 | Year | 05 | Month | 01 | Day |
Unpublished
Completed
2019 | Year | 02 | Month | 01 | Day |
2019 | Year | 02 | Month | 01 | Day |
2019 | Year | 05 | Month | 01 | Day |
2022 | Year | 03 | Month | 31 | Day |
2022 | Year | 03 | Month | 31 | Day |
Analysis data (sample) protects personal information by deleting identifiable personal information (anonymization). In anonymization, random numbering is performed in Excel to create a correspondence table. Also, all information files are used with a password, and the stored USB and paper media information is also stored in a locker locker and not used on PCs that can connect to the Internet environment. Analysis data after the end of the study is stored by a research executor in a locker that takes 10 years.
2019 | Year | 04 | Month | 07 | Day |
2022 | Year | 04 | Month | 08 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000041517