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The predictive role of CD4 cell count and CD4/CD8 ratio in immune reconstitution outcome among HIV/AIDS patients receiving antiretroviral therapy: an eight-year observation in China. | LitMetric

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Article Abstract

Background: The immune reconstitution after initiation of highly active antiretroviral therapy (HAART) among HIV-infected individuals substantially affects patients' prognosis. However, the dynamic characteristics and predictors of reconstitution outcome remain unclear.

Methods: In this study, the HIV/AIDS patients with sustained virological suppression (viral load < 50 copies/ml) after HAART were enrolled. The patients were subgrouped into immunological non-responders (INRs) (< 200 cells/μl), immunological inadequate responders (IIRs) (200 ~ 500 cells/μl) and immunological responders (IRs) (> 500 cells/μl) according to the CD4 cell count after two-year HAART. The immune reconstitution data based on the CD4 and CD8 cell counts with 8-year follow-up were collected for analysis.

Results: The CD4 cell counts in the immunological responders (IRs) were significantly higher than in the immunological non-responders (INRs) and immunological inadequate responders (IIRs) (P <  0.001). The overall CD4 cell count and CD4/CD8 ratio in the IRs increased faster than the IIRs and INRs. The CD4 cell count growth at 0.5 year and 1 year after HAART in the IRs was significantly higher than the IIRs and INRs. The ROC curve demonstrated that 1 year CD4 cell count had the highest predictive value, with the best cut-off value of 188 cells/μl, the predictive sensitivity was 81.0%, the predictive specificity was 85.2%, false positive rate was 14.8%, false negative rate was 19.0%, positive predictive value (IR) was 63.0%, negative predictive value (INR) was 93.5%.

Conclusions: Taken together, our findings suggest that early initiation of HAART can reduce the immune reconstitution failure. The combination of baseline CD4 cell count and baseline CD4/CD8 ratio may serve as a valid predictor of immune reconstitution prognosis after HAART.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6712592PMC
http://dx.doi.org/10.1186/s12865-019-0311-2DOI Listing

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