Criterios de referencia para los indicadores de secreción de insulina y de los parámetros lipídicos en una población mixta hospitalaria

introduction: the clinic usefulness of many indicators for the diagnosis of insulin-sensitivity and resistance is studied and frequently applied using the same criteria of diagnostic interpretation proposed by authors. the differences among the particular features of the different populations and the methodology used for determination of glycemia and the insulinemia over the cut point used for diagnosis require the use of diagnostic criteria representative of that population. it is difficult to establish particular criteria because of the complexity and the cost of the conventional direct methodology using reference populations is inaccessible in general to individual laboratories. there is a simpler alternative, the estimation indirect method of reference ranks, based on segregation of hospital mixed populations in its gaussean components that could be more appropriate to obtain non-biased diagnostic criteria. objective: to estimate the reference limits of main indicators for insulin-resistance and the validity of results obtained using this method. methods: authors studied the statistic parameters and reference values of 8 indicators of insulin secretion, 3 indicators of resistance and 5 indicators of insulin-sensitivity, derived from relation between fasting glycemia and insulinemia from 1 000 consecutive samples of hospital mixed population seen in national institute of endocrinology. we applied this methodology to other parameters with an asymmetric distribution in population; by example, insulin and serum lipids (cholesterol and triglycerides) having reference values of universal acceptation used as an internal control to assess if the method applied offers non-biased results. we applied the fao program called fish stock assessment tools (fisat) to separate the value of population in its gaussean components and to estimate the statistic parameters of component created by health population. we compared the results obtained using this methodology with cut value