Gut Microbiota in ITP
Diagnostic and Therapeutic Value of Gut Microbiome in Adult Immune Thrombocytopenia
Study Overview
Status
Status
Conditions
Conditions
Detailed Description
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Xiao-Hui Zhang, Dr.
- Phone Number: +8613522338836
- Email: zhangxh100@sina.com
Study Contact Backup
- Name: Feng-Qi Liu, MD.
- Phone Number: +8618301231630
- Email: liufengqi1230@163.com
Study Locations
-
-
Beijing
-
Beijing, Beijing, China, 100010
- Recruiting
- Peking University Insititute of Hematology, Peking University People's Hospital
-
Contact:
- Xiao-Hui Zhang, doctor
- Email: zhangxh100@sina.com
-
Contact:
- Feng-Qi Liu, doctor
- Phone Number: +8618301231630
- Email: liufengqi1230@163.com
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
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.
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
AUC value of 1-month drug resistance/relapse using baseline gut microbiota efficacy prediction model
Time Frame: 1 month
|
The prediction model is constructed and calculated using machine learning methods
|
1 month
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
AUC value of 3-month drug resistance/relapse using baseline gut microbiota efficacy prediction model
Time Frame: 3 months
|
The prediction model is constructed and calculated using machine learning
|
3 months
|
|
AUC value of 6-month drug resistance/relapse using baseline gut microbiota
Time Frame: 6 months
|
The prediction model is constructed and calculated using machine learning
|
6 months
|
|
Time to response
Time Frame: 6 months
|
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
|
|
Duration of response
Time Frame: 6 months
|
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
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Xiao-Hui Zhang, Dr., Peking University People's Hospital, Peking University Insititute of Hematology
Study record dates
Study Major Dates
Study Start (Anticipated)
Study Start
Primary Completion (Anticipated)
Primary Completion
Study Completion (Anticipated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
Other Study ID Numbers
- PKU-ITP033
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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