Early Identification and Prognosis Prediction of Sepsis Through Multiomics
NCT ID: NCT05305469
Last Updated: 2024-01-24
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
900 participants
OBSERVATIONAL
2022-01-01
2025-12-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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GN
Gram-negative bacteria infection group
No interventions assigned to this group
GP
Gram-positive bacteria infection group
No interventions assigned to this group
Fungal
Fungal infection group
No interventions assigned to this group
Viral
Viral infection group
No interventions assigned to this group
Control
Non-sepsis group
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
* Age 18~85 years old.
Exclusion Criteria
* Female subjects who are pregnant;
* The subjects not sure if infected;
* The subjects performed CPR;
* The subjects suffer from chronic renal disease;
* The subjects with incomplete clinical data.
18 Years
85 Years
ALL
Yes
Sponsors
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Yantai Yuhuangding Hospital
OTHER
Responsible Party
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Principal Investigators
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Jing Wang
Role: PRINCIPAL_INVESTIGATOR
Yantai Yuhuangding Hospital
Locations
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Yantai Yuhuangding Hospital
Yantai, Shandong, China
Countries
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Central Contacts
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Facility Contacts
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References
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Wang J, Sun Y, Teng S, Li K. Prediction of sepsis mortality using metabolite biomarkers in the blood: a meta-analysis of death-related pathways and prospective validation. BMC Med. 2020 Apr 15;18(1):83. doi: 10.1186/s12916-020-01546-5.
Other Identifiers
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2022-031
Identifier Type: -
Identifier Source: org_study_id
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