Furthermore, when incorporating seven continuous variables (age, BMI, HIV infection time, CD4+ T cell counts, HIV VL, and duration of interruption in HARRT) and other categorical variables into these four machine learning models (Additional file 1: Fig. S4), the results found that four models had AUROC values above 0.750 (all P < 0.05). This evidence concerns the gene CD4 and HIV infectious disease.