|Title:||A Clinical Algorithm to Identify HIV Patients at High Risk for Incident Active Tuberculosis: A Prospective 5-Year Cohort Study||Authors:||Lee, Susan Shin-Jung
|Issue Date:||Aug-2015||Publisher:||PUBLIC LIBRARY SCIENCE||Journal Volume:||10||Journal Issue:||8||Source:||PloS one||Abstract:||
Predicting the risk of tuberculosis (TB) in people living with HIV (PLHIV) using a single test is currently not possible. We aimed to develop and validate a clinical algorithm, using baseline CD4 cell counts, HIV viral load (pVL), and interferon-gamma release assay (IGRA), to identify PLHIV who are at high risk for incident active TB in low-to-moderate TB burden settings where highly active antiretroviral therapy (HAART) is routinely provided.
|Appears in Collections:||流行病學與預防醫學研究所|
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