ITP Clinical Trial
Official title:
Diagnostic and Therapeutic Value of Gut Microbiome in Adult Immune Thrombocytopenia
NCT number | NCT05118126 |
Other study ID # | PKU-ITP033 |
Secondary ID | |
Status | Recruiting |
Phase | |
First received | |
Last updated | |
Start date | January 2022 |
Est. completion date | December 2022 |
Prospective, observational study to explore the significance of gut microbiome in the diagnosis of ITP, and to identify the predictive value of baseline gut microbiome for GC resistance/relapse.
Status | Recruiting |
Enrollment | 240 |
Est. completion date | December 2022 |
Est. primary completion date | June 2022 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - 18 years or older; - Isolated thrombocytopenia (platelet count of less than 100×10^9/L); - Normal leukocyte and erythrocyte counts according to routine blood tests; - Did not receive any medication for thrombocytopenia for 6 months. Exclusion Criteria: - Secondary ITP such as drug-associated thrombocytopenia; - Thrombocytopenia caused by viral infection (HIV, Hepatitis B virus or Hepatitis C virus); - Nursing or pregnant women; - Severe dysfunction of the heart, kidney, lung or liver; - Active or previous malignancy; - Patients with other diseases were undergoing treatment with immunosuppressants; - Myelodysplastic disorder or myelofibrosis; - Patients who were undergoing first - or second-line therapy for thrombocytopenia within 6 months. |
Country | Name | City | State |
---|---|---|---|
China | Peking University Insititute of Hematology, Peking University People's Hospital | Beijing | Beijing |
Lead Sponsor | Collaborator |
---|---|
Peking University People's Hospital | Beijing Hospital |
China,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | AUC value of 1-month drug resistance/relapse using baseline gut microbiota efficacy prediction model | The prediction model is constructed and calculated using machine learning methods | 1 month | |
Secondary | AUC value of 3-month drug resistance/relapse using baseline gut microbiota efficacy prediction model | The prediction model is constructed and calculated using machine learning | 3 months | |
Secondary | AUC value of 6-month drug resistance/relapse using baseline gut microbiota | The prediction model is constructed and calculated using machine learning | 6 months | |
Secondary | Time to response | The time to achieve platelet count = 30×10^9/L and at least 2-fold increase of the baseline count and absence of bleeding since start of treatment. | 6 months | |
Secondary | Duration of response | The duration of achieve platelet count = 30×10^9/L and at least 2-fold increase of the baseline count and absence of bleeding since start of treatment | 6 months |
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