Establishment of clinical prediction models using machine learning techniques and predictive factors to predict adverse drug events in patients treated with dolutegravir-based anti-retroviral agents
Completed
- Conditions
- HIV-infected patients under a DTG-based regimenadverse drug events, dolutegravir, machine learning, prediction model, HIVs
- Registration Number
- TCTR20230904001
- Lead Sponsor
- Pakchongnana Hospital
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Completed
- Sex
- All
- Target Recruitment
- 840
Inclusion Criteria
1.HIV-infected patients under a DTG-based regimen.
2. Age more than 18.
3. Thai patient
Exclusion Criteria
patient with head trauma with residual effects or severe cognitive impairment.
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Adverse drug events each 3 month specific for each ADRs
- Secondary Outcome Measures
Name Time Method Efficacy of antiretroviral 1 year CD4 and viral load