Better Predictive Value of Lymphocyte Count and Hemoglobin for CD4 Level of HIV Patients

This is the authors' abstract. We don't add key points for this paper.

Objective: HIV patients are prone to infection and difficult to treat, which mainly manifests itself in decreased CD4+ T cells in the body. Therefore, the predictive value of lymphocyte count and hemoglobin for CD4+ levels in HIV patients was discussed in the prospective study. Methods: 125 HIV patients (aged >18 or < 80 years) were recruited. Pearson chi-square test was used to explore the correlation between CD4+ content and blood-related parameters in HIV patients. Univariate and multivariate logistic regression analyses were used to calculate ORs for each variable. In addition, receiver ROC curves were constructed to assess each factor's accuracy and sensitivity in diagnosing CD4+. Results: Lymphocyte count and hemoglobin were significantly correlated with CD4+. In terms of multivariate logistic regression level, there was a significant correlation between lymphocyte count (OR = 3.170, 95% CI: 1.442-6.969, P = 0.004), hemoglobin (OR = 2.545, 95% CI: 1.148- 5.646, P = 0.022) and CD4+ content in HIV patients. Based on the neural network model, the level of lymphocyte and hemoglobin might be the predictive indexes of CD4+ level. We find the high-risk warning indicator of CD4+ level: 3 < lymphocyte (109/L) < 3.6, and 150 < hemoglobin (g/L) < 200. Conclusion: Better predictive value of lymphocyte count and hemoglobin for CD4+ level of HIV patients.