Gut Microbiota in ITP
- Conditions
- ITP
- Registration Number
- NCT05118126
- Lead Sponsor
- Peking University People's Hospital
- Brief Summary
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.
- 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.
Recruitment & Eligibility
- Status
- UNKNOWN
- Sex
- All
- Target Recruitment
- 240
- 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.
- 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 & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method AUC value of 1-month drug resistance/relapse using baseline gut microbiota efficacy prediction model 1 month The prediction model is constructed and calculated using machine learning methods
- Secondary Outcome Measures
Name Time Method AUC value of 3-month drug resistance/relapse using baseline gut microbiota efficacy prediction model 3 months The prediction model is constructed and calculated using machine learning
AUC value of 6-month drug resistance/relapse using baseline gut microbiota 6 months The prediction model is constructed and calculated using machine learning
Duration of response 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
Time to response 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.
Trial Locations
- Locations (1)
Peking University Insititute of Hematology, Peking University People's Hospital
🇨🇳Beijing, Beijing, China