| Recruitment status | Completed |
| Unique ID issued by UMIN | UMIN000046846 |
| Receipt No. | 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 (Ver. 2) |
| Basic information | ||
| Public title | A study on the validity of an algorithm for predicting severity of illness (SOFA score) after 24 hours in the intensive care unit | |
| Acronym | A study on the validity of an algorithm for predicting severity of illness (SOFA score) after 24 hours in the intensive care unit | |
| 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 | |
| Scientific Title:Acronym | A study on the validity of an algorithm for predicting severity of illness (SOFA score) after 24 hours in the intensive care unit | |
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| Condition | ||
| Condition | Clitical care | |
| Classification by specialty |
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| Classification by malignancy | Others | |
| Genomic information | NO | |
| Objectives | |
| Narrative objectives1 | 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. |
| Basic objectives2 | Efficacy |
| Basic objectives -Others | |
| Trial characteristics_1 | |
| Trial characteristics_2 | |
| Developmental phase | |
| Assessment | |
| Primary outcomes | Comparison of predicted SOFA score and actual SOFA score after 24 hours |
| Key secondary outcomes | The ability of prediction of SIRS score, need for vasopressors, sepsis |
| Base | |
| Study type | Observational |
| Study design | |
| Basic design | |
| Randomization | |
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| Blinding | |
| Control | |
| Stratification | |
| Dynamic allocation | |
| Institution consideration | |
| Blocking | |
| Concealment | |
| Intervention | |
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| Eligibility | ||||
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| Gender | Male and Female | |||
| Key inclusion criteria | Patients admitted to the ICU during the period from July 31, 2017 to February 1, 2021. | |||
| Key exclusion criteria | none | |||
| Target sample size | 7500 | |||
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| Name of lead principal investigator |
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| Organization | Saitama medical center, Jichi medical university | ||||||
| Division name | department of critical care and anesthesiology | ||||||
| Zip code | 3308503 | ||||||
| Address | 1-847 Amanuma town, Omiya Ku, Saitama City, Saitama | ||||||
| TEL | +81486472111 | ||||||
| yiizuka@jichi.ac.jp | |||||||
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| Organization | Saitama medical center, Jichi medical university | ||||||
| Division name | department of critical care and anesthesiology | ||||||
| Zip code | 3308503 | ||||||
| Address | 1-847 Amanuma town, Omiya Ku, Saitama City, Saitama | ||||||
| TEL | +81486472111 | ||||||
| Homepage URL | |||||||
| yiizuka@jichi.ac.jp | |||||||
| Sponsor | |
| Institute | Jichi medical university |
| Institute | |
| Department | |
| Funding Source | |
| Organization | Ministry of Health and Welfare |
| Organization | |
| Division | |
| Category of Funding Organization | Japanese Governmental office |
| Nationality of Funding Organization | |
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| IRB Contact (For public release) | |
| Organization | Jichi medical university, saitama medical center |
| Address | 1-847 Amanuma town, Omiya Ku, Saitama City, Saitama |
| Tel | +81486472111 |
| yiizuka@jichi.ac.jp | |
| Secondary IDs | |
| Secondary IDs | NO |
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| Related information | |
| URL releasing protocol | |
| Publication of results | Unpublished |
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| Recruitment status | Completed | ||||||
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| Other | |
| Other related information | none
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| Link to view the page | |
| URL(English) | https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000053446 |