2.3. Statistical Analysis
AIDS
HIV INFECTION, AIDS, POSITIVE
All statistical analyses were performed using R software (R Core Team, Vienna, Austria, 2021). Data for continuous quantitative variables are presented as medians and interquartile ranges (IQR). Qualitative variables are presented as percentages. Demographics, comorbidities, HIV infection, and diagnosis were compared by gender, the number of comorbidities, and the presence of AIDS. The contrast of medians between the different groups analyzed was compared with parametric (Student’s bilateral Additionally, differences in CD4+ and CD8+ lymphocyte count and CD4+/CD8+ ratio were calculated between the baseline and the three-time points analyzed (24, 48, and 96 weeks of dual DTG plus 3TC treatment) when data were available. Positive values or values greater than zero indicate an increase in the parameter under study. In this case, the average values of each difference are again contrasted according to the three defined population groups and represented graphically in the form of violin plots. Finally, we assessed whether the difference observed at the intra-group level was significant by applying paired means tests (Student’s 