Unique ID issued by UMIN | UMIN000045462 |
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Receipt number | R000051793 |
Scientific Title | Predicting Deterioration of COVID-19 using Biomarkers |
Date of disclosure of the study information | 2021/09/15 |
Last modified on | 2022/03/14 12:57:27 |
Predicting Deterioration of COVID-19 using Biomarkers
PreCOB study
Predicting Deterioration of COVID-19 using Biomarkers
PreCOB study
Japan |
COVID-19
Medicine in general | Pneumology | Infectious disease |
Laboratory medicine | Emergency medicine | Intensive care medicine |
Adult |
Others
NO
We aim to elucidate whether biomarkers, including cytokines in blood, would predict the deterioration of mild to moderate COVID-19.
Efficacy
Exploratory
Pragmatic
Not applicable
Newly initiated oxygen therapy by 14 days after admission
National Institute of Allergy and Infectious Diseases (NIAID) ordinal scale and Japanese Ministry of Health, Labor, and Welfare severity classification of COVID-19 on Day 0,2,4,6,8,10,12,14, as well as on the day when oxygen therapy is initiated and the day when mechanical ventilation is initiated. In-hospital, 28-day, and 90-day mortality. Hospital-, ICU-, oxygen-, ventilator-, RRT-, and vasopressor-free days until Day 28 after admission. Tracheostomy and time when tracheostomy is performed. Organ failure score such as Sequential Organ Failure Assessment score (SOFA score) and Japanese Association for Acute Medicine disseminated intravascular coagulation criteria (JAAM DIC diagnostic criteria) on Day 0, 2, 7, 14 after admission.
Observational
20 | years-old | <= |
Not applicable |
Male and Female
1)COVID-19 confirmed with SARS-CoV-2 PCR test
2)No oxygen requirement on hospital admission
1) hepatitis C
2) Rheumatoid arthritis and autoimmune diseases
3) Immunosuppressed patients
4) Patient who is expected to die within 48 hours after admission
5) Patient who is considered to be inappropriate for the inclusion to this study by a treating physician
70
1st name | Koichiro |
Middle name | |
Last name | Homma |
School of Medicine, Keio University
Department of Emergency and Critical Care Medicine
1608582
35, Shinano-machi, Shinjuku-ku, Tokyo
0332251323
homma@keio.jp
1st name | Daiki |
Middle name | |
Last name | Kaito |
School of Medicine, Keio University
Department of Emergency and Critical Care Medicine
1608582
35, Shinano-machi, Shinjuku-ku, Tokyo
0332251323
hoobar55@keio.jp
Keio University
Sysmex Corporation
Profit organization
Ethics Committee, School of Medicine, Keio University
35 Shinanomachi, Shinjuku-ku, Tokyo
0353633503
med-rinri-jimu@adst.keio.ac.jp
NO
2021 | Year | 09 | Month | 15 | Day |
Unpublished
Open public recruiting
2021 | Year | 06 | Month | 16 | Day |
2021 | Year | 08 | Month | 13 | Day |
2021 | Year | 09 | Month | 20 | Day |
2025 | Year | 03 | Month | 31 | Day |
To evaluate the accuracy of predicting deterioration of COVID-19 (defined with the initiation of oxygen therapy, or by NIAID ordinal scale) by prospectively measured biomarkers (IFN-lambda3, IL-6, IL-10, IL-18, CXCL10, CCL17), AUROC will be calculated and compared. After adding biomarkers to the existed scale for the severity and/or deterioration, AUROC will be evaluated to exam whether the accuracy is improved. In addition, we will make several subgroups based on clinical information(age, gender, blood tests, imaging tests, treatment details, etc.) and the ability to predict the deterioration of COVID-19 will be evaluated.
2021 | Year | 09 | Month | 13 | Day |
2022 | Year | 03 | Month | 14 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000051793
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