| Unique ID issued by UMIN | UMIN000046846 |
|---|---|
| Receipt number | R000053446 |
| Scientific Title | A study on the validity of an algorithm for predicting severity of illness (SOFA score) after 24 hours in the intensive care unit |
| Date of disclosure of the study information | 2022/02/07 |
| Last modified on | 2022/08/15 22:58:12 |
A study on the validity of an algorithm for predicting severity of illness (SOFA score) after 24 hours in the intensive care unit
A study on the validity of an algorithm for predicting severity of illness (SOFA score) after 24 hours in the intensive care unit
A study on the validity of an algorithm for predicting severity of illness (SOFA score) after 24 hours in the intensive care unit
A study on the validity of an algorithm for predicting severity of illness (SOFA score) after 24 hours in the intensive care unit
| Japan |
Clitical care
| Intensive care medicine |
Others
NO
The ACE system/app developed by Peach IntelliHealth is a machine learning-based early patient condition prediction and warning system in an English language environment that uses electronic patient record data to predict the probability of developing Systemic Inflammatory Response Syndrome (SIRS), platelet count, and use of circulatory agonists, including the degree of organ damage (SOFA score) at 12-24 hours. It predicts the probability of developing Systemic Inflammatory Response Syndrome (SIRS), platelet count, and use of circulatory agonists, including the degree of organ damage (SOFA score) after 12-24 hours, from electronic patient record data. In this study, we will investigate whether the Sequential Organ Failure Assessment Score (SOFA) score at 24 hours can be predicted by the ACE system using historical electronic data of patients admitted to our ICU.
Efficacy
Comparison of predicted SOFA score and actual SOFA score after 24 hours
The ability of prediction of SIRS score, need for vasopressors, sepsis
Observational
| Not applicable |
| Not applicable |
Male and Female
Patients admitted to the ICU during the period from July 31, 2017 to February 1, 2021.
none
7500
| 1st name | Yusuke |
| Middle name | |
| Last name | Iizuka |
Saitama medical center, Jichi medical university
department of critical care and anesthesiology
3308503
1-847 Amanuma town, Omiya Ku, Saitama City, Saitama
+81486472111
yiizuka@jichi.ac.jp
| 1st name | Yusuke |
| Middle name | |
| Last name | Iizuka |
Saitama medical center, Jichi medical university
department of critical care and anesthesiology
3308503
1-847 Amanuma town, Omiya Ku, Saitama City, Saitama
+81486472111
yiizuka@jichi.ac.jp
Jichi medical university
Ministry of Health and Welfare
Japanese Governmental office
Jichi medical university, saitama medical center
1-847 Amanuma town, Omiya Ku, Saitama City, Saitama
+81486472111
yiizuka@jichi.ac.jp
NO
| 2022 | Year | 02 | Month | 07 | Day |
Unpublished
Completed
| 2022 | Year | 01 | Month | 19 | Day |
| 2022 | Year | 01 | Month | 19 | Day |
| 2022 | Year | 01 | Month | 19 | Day |
| 2022 | Year | 03 | Month | 31 | Day |
none
| 2022 | Year | 02 | Month | 07 | Day |
| 2022 | Year | 08 | Month | 15 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000053446