HIV & AIDS Review. International Journal of HIV-Related Problems · Published 2025-09-07 · DOI 10.5114/hivar/168812
Introduction CD4+ T lymphocyte count is a high-cost para-clinical test, essential for follow-up of human immuno-deficiency virus (HIV)/acquired immunodeficiency syndrome (AIDS) patients. For this test, various methodologies have been developed to allow estimating the evolution of this cell line in a more cost-effective way, giving the possibility for large number of patients to better control their immune status. Aim of the study was to confirm the predictive capacity of a methodology based on set theory, probability theory, and mathematical patterns, to predict the evolution of CD4+ T lymphocyte count in patients with HIV/AIDS. Material and methods Mathematical patterns identified in a previous study were applied to predict CD4+ T lymphocyte counts in ranges of clinical interest, in para-clinical follow-ups of 90 HIV-infected patients from previous studies’ databases of the Insight Group. Results The global success probability of 93.33% was obtained for the evaluation of 5 dynamics. Leukocyte ranging below 4,000/ml 3 and 3,000/ml 3 were associated with less than 570 CD4+/μl, with the probability of success of 0.923 and 1, respectively. Conclusions The clinical applicability of the methodology developed for the prediction of CD4+ T lymphocyte count in patients with HIV/AIDS was confirmed without using statistical measures, while minimizing costs and resources.
Abstract from DOAJ. Public domain (CC0 1.0).
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