Unique ID issued by UMIN | UMIN000049747 |
---|---|
Receipt number | R000056436 |
Scientific Title | Identifying Novel Pathophysiology-related Sepsis Endotypes: Exploratory Research |
Date of disclosure of the study information | 2022/12/12 |
Last modified on | 2023/12/13 09:54:35 |
Identifying Novel Sepsis Endotypes
Endotype-sepsis study
Identifying Novel Pathophysiology-related Sepsis Endotypes: Exploratory Research
Endotype-sepsis study
Japan |
Sepsis
Emergency medicine | Intensive care medicine |
Others
YES
To identify pathophysiology-related subclasses in patients with sepsis.
To develop the prediction model for sepsis subclasses.
Others
To identify pathophysiology-related subclasses (endotypes) in patients with sepsis.
To develop the prediction model for sepsis subclasses using easily-available clinical data.
Exploratory
Not applicable
Composite outcome of 28-day mortality and/or persistent organ dysfunction. Persistent organ dysfunction is an ongoing requirement for vasopressors, dialysis, or mechanical ventilation.
Others,meta-analysis etc
18 | years-old | <= |
Not applicable |
Male and Female
Patients aged greater than or equal to 18 years old diagnosed as sepsis difined by Sepsis-3 diagnostic criteria.
1. Patients who stay more than 24 hours at the previous hospital before transferring to to the participating hospital.
2. Patients who have sepsis after admission.
3. Patients who have cardiac arrest before obtaining the blood sample.
4. Patients or their legal representatives disagree with participating in the study.
1000
1st name | Daisuke |
Middle name | |
Last name | Kudo |
Tohoku University Graduate School of Medicine
Division of Emergency and Critical Care Medicine
9800872
1-1 Seiryo-machi, Aoba-ku, Sendai
022-717-7489
kudodaisuke@med.tohoku.ac.jp
1st name | Daisuke |
Middle name | |
Last name | Kudo |
Tohoku University Graduate School of Medicine
Division of Emergency and Critical Care Medicine
9800872
1-1 Seiryo-machi, Aoba-ku, Sendai
022-717-7489
kudodaisuke@med.tohoku.ac.jp
Division of Emergency and Critical Care Medicine, Tohoku University Graduate School of Medicine
Japan society for the promotion of science
Japanese Governmental office
Diverta Inc.
Ethics Committee Tohoku University Graduate School of Medicine
2-1 Seiryo-machi, Aoba-ku, Sendai, Miyagi, 980-8575, Japan
022-717-8007
med-kenkyo@grp.tohoku.ac.jp
NO
東北大学病院(宮城県)、北海道大学病院(北海道)、大阪医科薬科大学病院(大阪府)、岡山大学病院(岡山大学)、順天堂大学浦安病院(千葉県)、水戸医療センター(茨城県)、慶応義塾大学病院(東京都)、広島大学病院(広島県)
2022 | Year | 12 | Month | 12 | Day |
Unpublished
Open public recruiting
2022 | Year | 10 | Month | 31 | Day |
2022 | Year | 11 | Month | 24 | Day |
2022 | Year | 12 | Month | 12 | Day |
2027 | Year | 06 | Month | 30 | Day |
Data collection
1. Patient background
2. Clinical data
3. Genome and genome-wide association analysis
4. Metabolite and metabolome analysis
2. Subclass clustering
We will integrate the patient background, clinical data, genome data, and metabolome data. Then, we will do subclass clustering by machine learning, such as spectral clustering using a fused affinity matrix or other methods. We will examine the outcome and efficacy of treatments on patients in each cluster.
2022 | Year | 12 | Month | 12 | Day |
2023 | Year | 12 | Month | 13 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000056436