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2000
Volume 21, Issue 1
  • ISSN: 1570-162X
  • E-ISSN: 1873-4251

Abstract

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.

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/content/journals/chr/10.2174/1570162X21666221222104349
2023-01-01
2025-09-01
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/content/journals/chr/10.2174/1570162X21666221222104349
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  • Article Type:
    Research Article
Keyword(s): CD4 level; hemoglobin; HIV; Lymphocyte; neural network model; predictive value
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