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Background: The CD4 T lymphocyte count in people living with HIV (PLHIV) is a predictor for the progression of the disease (AIDS), survival and response to antiretroviral treatment (ART). A CD4 T lymphocyte count of less than 200 cells/mm3 is indicative of a greater risk for the onset of opportunistic diseases and death. Defaulting on treatment for tuberculosis (TB) may impact immune recovery in PLHIV who are taking ART. The aim of this study was to investigate an association of the CD4 lymphocyte with TB treatment Trajectory and with death. Methods: A cohort of PLHIV over eighteen years of age and who were taking ART and who had defaulted on pulmonary TB treatment. Latent Class analysis was used to identify different trajectories of CD4 T lymphocyte counts over time. Results: Latent class 1 (High CD4 trajectory) grouped individuals together who were characterized as maintaining a low probability (0 to 29%) of a CD4 count ≤ 200 cells/mm3over time, while latent class 2 (Low CD4 trajectory) grouped individuals together with a high probability (93% to 60%), and latent class 3 (Fluctuating CD4 trajectory), grouped individuals with a fluctuating probability (66% to 0%). The chance of defaulting on treatment earlier (≤ 90 days) was four times higher in latent class 2 (Low CD4 trajectory). Although there was no statistical significance, there was a higher frequency of deaths in this same latent class. Conclusion: Individuals with a high probability of a CD4 count ≤ 200 cells/ mm3 should be monitored in order to avoid treatment default and thereby prevent death. New studies should be conducted with a larger sample size and a longer follow-up time in PLHIV who initiated ART treatment early so as to support clinical decisions for a better understanding of immune behavior. [ABSTRACT FROM AUTHOR]

Background: Among people living with HIV (PLHIV) on antiretroviral therapy (ART), the mortality of immunological non-responders (INRs) is higher than that of immunological responders (IRs). However, factors associated with immunological non-response following ART are not well documented. Methods: We obtained data for HIV patients from the National Free Antiretroviral Treatment Program database in China. Patients were grouped into IRs (CD4 cell count ≥ 350 cells/μl after 24 months' treatment), immunological incomplete responders (ICRs) (200–350 cells/μl) and INRs (< 200 cells/μl). Multivariable logistic regression was used to assess factors associated with immunological non-response. Results: A total of 3900 PLHIV were included, among whom 2309 (59.2%) were IRs, 1206 (30.9%) ICRs and 385 (9.9%) INRs. In multivariable analysis, immunological non-response was associated with being male (2.07, 1.39–3.09), older age [40–49 years (vs. 18–29 years): 2.05, 1.29–3.25; 50–59 years: 4.04, 2.33-7.00; ≥ 60 years: 5.51, 2.84–10.67], HBV co-infection (1.63, 1.14–2.34), HCV co-infection (2.01, 1.01–4.02), lower CD4 + T cell count [50–200 cells/μl (vs. 200–350 cells/μl): 40.20, 16.83–96.01; < 50 cells/μl: 215.67, 85.62-543.26] and lower CD4/CD8 ratio (2.93, 1.98–4.34) at baseline. Compared with patients treated with non-nucleoside reverse transcriptase inhibitors (NNRTIs) based regimens, those receiving protease inhibitors (PIs) based regimens were less likely to be INRs (0.47, 0.26–0.82). Conclusions: We found a sizable immunological non-response rate among HIV-infected patients. Being male, older age, coinfection with HBV and HCV, lower CD4 + T cell count and lower CD4/CD8 ratio are risk factors of immunological non-response, whereas PIs-based regimens is a protective factor. [ABSTRACT FROM AUTHOR]