Salgado-Jiménez MÁ, Villagómez-Méndez J, Joanico-Morales B, Joanico-Morales G, Cortés-Rafael M, Salgado-JiménezSG

Language: Spanish
References: 11
Page: 277-284
PDF size: 241.50 Kb.

ABSTRACT

Background: The correct interpretation of values from the quadratic deviation is useful in immunology, it is the average of the deviations; therefore, based on this, we can make decisions.
Objective: To analyze the behavior of leukocyte, total lymphocyte and CD4 values from the set theory when performing the mean square deviation, and extrapolate its utility to the clinic.
Material and Method: A transversal analytical study was done from January 1st to November 30th, 2018, after collecting leukocyte and total lymphocyte values from a blood count, as well as the latest CD4 values of HIV-infected patients, based on the theory of sets, we proceeded to classify by ranges of 1000 leukocytes, to form 10 ranges. Subsequently, it was classified by sets to finally perform the mean square deviation, this being the central axis of the present article.
Results: It was observed how the behavior of the probabilities is strongly distributed for total lymphocytes coming from the blood count and CD4 T lymphocytes in the 10 established ranges. For the AUC set, the quadratic deviations took values between 0.25 and 0.50; for the BUD set between 0.19 and 0.50, while for the set (AUC)∩(BUD) the deviations were observed between 0.04 and 0.50.
Conclusions: The quadratic deviation and its analysis is usually useful applied to the clinic. The behavior of the probabilities is distributed for both CD4 and general lymphocytes.

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