Authors: Rosa María Torres Hernández, Mario Alberto Martínez Ramírez, Beatriz González Jiménez, Humberto Hernández Ojeda, Fátima Izamar Medel Cabada.
Introduction: Multiple myeloma is multifocal neoplasia of plasmatic cells that affects the bone marrow. It is associated with the production of a urinary or serum protein. It represents approximately 1 percent of cancer cases worldwide and between 10 to 15 percent of all cases of hematological malignancy. Furthermore, it has been proposed that the β2-microglobulin levels are correlated with other factors that can predict multiple myelomas such as the number of plasmatic cells and the creatine levels.
Goals: To determine the correlation between β2-microglobulin, globulin levels, and the number of plasmatic cells in patients with multiple myeloma.
Methods and techniques: We conducted an observational, retrospective, transversal, and analytical study in the Hospital of the Mexican Institute of Social Security at the Veracruz port. Our population analyzed comprehended 45 patients between the ages 30 and 80 with a confirmed diagnosis of multiple myeloma. We measured the β2-microglobulin levels and globulin levels, and the number of plasmatic cells during the diagnosis of patients. Furthermore, we conducted a statistical analysis using a Pearson correlation.
Results: The average age was 61 years with a margin of error of 11.48 years. The myeloma of IgG type was the one of major prevalence and represent 82.2 percent. It was followed by the IgA type and the IgM type, which represented 15.5 and 2.2 percent respectively. The Pearson correlation coefficient (Pearson's r) between the β2-microglobulin levels and globulin levels was 0.92. The Pearson's r between the number of plasmatic cells and β2-microglobulin, excluding patients with high serum creatine levels (i.e. larger than 1.2 mg/dl), was 0.371.
Conclusions: The predominant type of myeloma in the analyzed population was the IgG type. Furthermore, this myeloma affected mainly men in our study. The average age was 61 years with a margin of error of 11.48 years when compared to other populations in our study.
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