Prediction of the concentration of CD4 T lymphocytes based on set theory applied to the monitoring of patients with HIV
DOI:
https://doi.org/10.51481/amc.v58i2.920Keywords:
Flow cytometry, CD4, blood count, Prediction, set theory, HIV / AIDSAbstract
Introduction: A CD4 predictive methodology from the white cell blood count and lymphocyte blood counts was developed in patients with HIV/AIDS, seeking an alternative measure to flow cytometry.
Methods: Membership to four sets: A, B, C and D, of triplets of: cells/mm³, leukocytes/mm³, and CD4 cells/μL, was assessed in samples taken from 33 patients, collecting 3 to 5 samples per patient, for a total of 144 samples. The assessment of (A∪C) , (B∪D) y (A∪C)∩(B∪D) allows for predictions based on the percentage of belonging to these groups. The results were arranged in descending order in nine ranges of 1000 leukocytes. The number of patients with accurate predictions and the ranges of greater effectiveness in prediction were established.
Results: The intersection (A∪C)∩(B∪D) showed effectiveness of 85.71% in predicting CD4 in the range of 4999-4000 leukocytes, 83.33% for 3999-3000, and 100% in the range lesser than 3,000.
Conclusion: The predictive ability and clinical usefulness of the methodology developed were confirmed for the prediction of T CD4 lymphocites, allowing to lower costs compared to flow cytometry in monitoring patients with HIV/AIDS over time.
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