Data from Bar Ilan University Advance Knowledge in HIV/AIDS

According to a study from Ramat Gan, Israel, "Joint models are used to rigorously explore the relationship between the dynamics of biomarkers and clinical events. In the context of HIV infection, where the multivariate dynamics of HIV-RNA and CD4 are complex, a mechanistic approach based on a system of nonlinear differential equations naturally takes into account the correlation between the biomarkers."

"Using data from a randomized clinical trial comparing dual antiretroviral therapy to a single drug regimen, a full maximum likelihood approach is proposed to explore the relationship between the evolution of the biomarkers and the time to a clinical event. The role of each marker as an independent predictor of disease progression is assessed," wrote J. Guedj and colleagues, Bar Ilan University.

The researchers concluded: "We show that the joint dynamics of HIV-RNA and CD4 captures the effect of antiretroviral treatment; the CD4 dynamics alone is found to capture most but not all of the treatment effect."

Guedj and colleagues published the results of their research in Biometrics (Joint Modeling of the Clinical Progression and of the Biomarkers' Dynamics Using a Mechanistic Model. Biometrics, 2011;67(1):59-66).

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