After adjusting for possible confounding predictors using the multivariable LMM with random slope and random intercept analysis, it was found that covariates such as WHO clinical stage, co-infection HIV/TB, functional status, opportunistic infections, and age were significantly associated with \documentclass[12pt]{minimal}\usepackage{amsmath}\usepackage{wasysym}\usepackage{amsfonts}\usepackage{amssymb}\usepackage{amsbsy}\usepackage{mathrsfs}\usepackage{upgreek}\setlength{\oddsidemargin}{-69pt}\begin{document}$$\sqrt{CD4}$$\end{document}CD4 cell count changes over time. The gene discussed is CD4; the disease is tuberculosis.