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The modeling to predict liver function using microbiome.

The modeling to predict liver function and prognosis using microbiome.

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CRIS
Registry ID
KCT0005079
Enrollment
100
Registered
2020-06-02
Start date
2020-06-15
Completion date
Unknown
Last updated
2020-06-15

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

None listed

Sponsors

Catholic Kwandong University International St.Mary's Hospital
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1) Adult men and women over 20 2) Patients with elevated liver enzymes or liver disease in radiologic exam 3) A person who signed a written consent after hearing the purpose and method of clinical research

Exclusion criteria

Exclusion criteria: 1) Patients who do not wish to provide information for clinical research 2) Others deemed inappropriate to participate in clinical research if judged by the investigator

Design outcomes

Primary

MeasureTime frame
Microbiota—

Secondary

MeasureTime frame
Aspartae aminotransferase (IU/L), Alanine transferase (IU/L), alkaline phosphagtae (IU/L), gamma glutamyl transferlase (mg/dl), albumin (mg/dl), prothrombin time, Total bilirubin (mg/dl), radiologic disorder in ultrasonograph, CT or MRI;Alanine transferase (IU/L),;alkaline phosphagtae (IU/L);gamma glutamyl transferlase (mg/dl),;albumin (mg/dl);prothrombin time;Total bilirubin (mg/dl);radiologic disorder in ultrasonograph, CT or MRI—

Countries

Korea, Republic of

Contacts

Public ContactSangheun Lee

Catholic Kwandong University International St.Mary's Hospital

Outcome results

None listed

Source: CRIS (via WHO ICTRP) · Data processed: Feb 4, 2026