Real-World Validation of a Prognostic Prediction Model for Patients With Acute Exacerbations of Chronic Liver Disease
NCT ID: NCT06181448
Last Updated: 2023-12-26
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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NOT_YET_RECRUITING
1500 participants
OBSERVATIONAL
2024-02-01
2026-01-31
Brief Summary
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Detailed Description
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Conditions
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Keywords
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Hospitalized patients with acute exacerbations of chronic liver disease
1. Patient data will be collected through a mobile application, providing real-time prognostic scores for patients.
2. Standary therapy for chronic liver disease with ALI and/or AD
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
* Acute exacerbations of chronic liver disease, including acute decompensation (bacterial infection, hepatic encephalopathy, variceal bleeding, ascites and jaundice) in 1 month and liver injury (ALT or AST \>3 ULN , or TB\>2 ULN) in 1 week.
* Patients are informed of the study purpose and willing to sign the informed consent.
Exclusion Criteria
* with malignancy of liver or other organs
* with other serious comorbidities (such as circulatory failure, respiratory failure, chronic kidney disease with end-stage renal failure, stroke within 6 months before admission, severe systemic autoimmune diseases or severe metabolic disease )
* pregnant
* receiving immunosuppressive agents for non-hepatic diseases
18 Years
75 Years
ALL
No
Sponsors
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Shanghai Jiao Tong University School of Medicine
OTHER
Responsible Party
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Hai Li
professor of department of gastroenterological division, Renji Hospital
Principal Investigators
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Hai Li, MD
Role: STUDY_DIRECTOR
Digestive Department of Renji Hospital,Shanghai Jiao Tong University School of Medicine
Locations
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Renji Hospital,Shanghai Jiao Tong University School of Medicine
Shanghai, Shanghai Municipality, China
Countries
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Central Contacts
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Facility Contacts
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Hai Li, MD
Role: primary
Other Identifiers
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Catchlife-predicting
Identifier Type: -
Identifier Source: org_study_id