IADR Abstract Archives
Clinical characteristics of HIV infected children treated with first-line Anti-retroviral therapy in Vietnam
Objectives: Over the past decades, there has been increased access of antiretroviral therapy (ART) in HIV infected children; however, HIV infected children suffer from significantly higher level of treatment failure (TF) compared to adult counterparts. There are currently two standard markers that have been proved to be the best markers for deciding the treatment failure including CD4 T cell counts and HIV viral load. However, other biomedical markers might play roles in better prognosis of treatment response. Therefore, we monitor the changes of numbers of markers in relation to treatment response.
Methods: A nested case–control study was conducted with clinical data collected from100HIV-infected children at National Hospital of Pediatrics, Vietnam (2008–2012). The independent variables collected every 6 month include: age, gender, HBV vaccination, height, weight, opportunistic infection (1–4 clinical stage according to WHO guidelines), serum hemoglobin, platelet count, CD4 T cell count, CD4 percentage, HIV RNA viral load, liver enzyme Alanine transaminase (ALT), serum aspartate aminotransferase (AST), Creatinine, Cholesterol, Triglyceride, Lymphocyte percentage, Numbers of Red blood cell and White blood cell, total immunoglobulin. The data were collected and managed by Epidata 3.1 and analyzed by Stata 12.0.20 for descriptive statistic, statistical inference, and survival analysis.
Results: The results showed that certain factors including height, weight, vaccination with Hepatitis B, and platelet were significantly different between treatment failure and treatment success patients before starting the treatment. In addition, age to start the treatment, CD4 percentage, opportunistic infection, HAZ (height for age), IgG and IgA were found to significantly predict treatment outcome most frequently, implying the importance of clinical markers in the treatment response by Cox regression analysis.
Conclusions: There is an inherent complexity within clinical markers that is challenging to determine HIV-pediatric failure and further research is needed to build a complete picture to guide clinical, evidence-based practice.
Methods: A nested case–control study was conducted with clinical data collected from100HIV-infected children at National Hospital of Pediatrics, Vietnam (2008–2012). The independent variables collected every 6 month include: age, gender, HBV vaccination, height, weight, opportunistic infection (1–4 clinical stage according to WHO guidelines), serum hemoglobin, platelet count, CD4 T cell count, CD4 percentage, HIV RNA viral load, liver enzyme Alanine transaminase (ALT), serum aspartate aminotransferase (AST), Creatinine, Cholesterol, Triglyceride, Lymphocyte percentage, Numbers of Red blood cell and White blood cell, total immunoglobulin. The data were collected and managed by Epidata 3.1 and analyzed by Stata 12.0.20 for descriptive statistic, statistical inference, and survival analysis.
Results: The results showed that certain factors including height, weight, vaccination with Hepatitis B, and platelet were significantly different between treatment failure and treatment success patients before starting the treatment. In addition, age to start the treatment, CD4 percentage, opportunistic infection, HAZ (height for age), IgG and IgA were found to significantly predict treatment outcome most frequently, implying the importance of clinical markers in the treatment response by Cox regression analysis.
Conclusions: There is an inherent complexity within clinical markers that is challenging to determine HIV-pediatric failure and further research is needed to build a complete picture to guide clinical, evidence-based practice.