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Órgano oficial de difusión de la Federación Mexicana de Patología Clínica, AC y de la Asociación Latinoamericana de Patología Clínica/Medicina de Laboratorio

1999, Number 3

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Rev Mex Patol Clin Med Lab 1999; 46 (3)

Glycemia. Biochronological reference limits and clinical decision levels in Mexican population.

Terrés SAM, Alcántara GLE

Language: Spanish
References: 20
Page: 133-142
PDF size: 123.25 Kb.


ABSTRACT

Evidence-based scientific medicine requires well fundamented methodologies to separate the limits of pathology and normality. Internationally, terms such as «reference limits» and «clinical decision levels» have been well defined and widely accepted for several years. In Mexico there are no national parameters stratified according to age and sex in the majority of lab tests, including blood glucose. Objective: To develop a biostatistical automated informatic methodology able to analyze the distribution of any numeric lab test and to correlate it with pre established clinical decision levels according to sex and age per life decade and to establish the reference limits according to IFCC recommendations on highly representative samples of ambulatory Mexican patients (n›150,000). Method: Clinical, retrospective, tangential, observational, descriptive study , with automated analytical methodology in a reference laboratory data base. Outcome: In 161, 623 determinations of blood glucose, 56% were of female patients. The incidence of hyperglicemia, euglicemia, and hypoglicemia is similar in both sexes. The frequency of hyperglicemia ›120 mg/dL increases in both sexes proportionally to age. In males, it is present from 1.2% in the first decade to 44.3% at 61-70 years of age with a mean of 23% (R2 = 0.82 , p‹0.000,1) while in females the mean from 1.2 % in the first decade to 46.0% at 61-70 years with a mean of 21% (R2 = 0.89 , p‹0.000,1). Conclusions: The methodology applied in this paper, including the retrospective automated management of pooled data and analysis of the distribution of clinical decision levels can be applied to any numeric laboratory variable to establish representative reference limits of the population under study consequently improving the usability of laboratory tests.


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