- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05118126
Gut Microbiota in ITP
January 11, 2022 updated by: Xiao Hui Zhang, Peking University People's Hospital
Diagnostic and Therapeutic Value of Gut Microbiome in Adult Immune Thrombocytopenia
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.
Study Overview
Status
Recruiting
Conditions
Detailed Description
A prospective, observational study to (1) collect fecal samples from ITP patients at initial diagnosis (baseline) and after first-line GC treatment, (2) detect the composition of gut microbiome and related metabolites using metagenomic sequencing combined with metabolomics, (3) observe the impact of first-line treatment on gut microbiome, (4) explore the significance of gut microbiome in the diagnosis of ITP, and (5) identify the predictive value of baseline gut microbiome for GC resistance/relapse, thus to provide new ideas for clinical diagnosis and treatment of ITP.
Study Type
Observational
Enrollment (Anticipated)
240
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
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
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
18 years and older (Adult, Older Adult)
Accepts Healthy Volunteers
No
Genders Eligible for Study
All
Sampling Method
Probability Sample
Study Population
Patients with newly diagnosed ITP who would receive first-line therapy (glucocorticoid therapy with platelet infusion) according to the clinician's or patient's decision.
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
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
What is the study measuring?
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
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
This is where you will find people and organizations involved with this study.
Collaborators
Investigators
- Principal Investigator: Xiao-Hui Zhang, Dr., Peking University People's Hospital, Peking University Insititute of Hematology
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Anticipated)
January 1, 2022
Primary Completion (Anticipated)
June 1, 2022
Study Completion (Anticipated)
December 1, 2022
Study Registration Dates
First Submitted
November 1, 2021
First Submitted That Met QC Criteria
November 1, 2021
First Posted (Actual)
November 11, 2021
Study Record Updates
Last Update Posted (Actual)
January 12, 2022
Last Update Submitted That Met QC Criteria
January 11, 2022
Last Verified
January 1, 2022
More Information
Terms related to this study
Other Study ID Numbers
- PKU-ITP033
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.