Resistencia a la acción de la insulina. Evolución histórica del concepto. Técnicas para el estudio in vivo en humanos

Identificación de individuos con resistencia a la insulina mediante mediciones clínicas y marcadores bioquímicos de rutina. Construcción de un índice de riesgo individual

INTRODUCTION

This study aimed to know the markers and routine biochemical measures that are associated to the insulin resistance (IR) and to develop an index of individual IR risk from them.

SUBJECTS AND METHODS

Cross-sectional study made in Primary Health Care population of both genders between 40 and 74 years (n = 2,143). A representative sample was obtained by simple random sampling of 305 patients after excluding the diabetic subjects. Sociodemographic variables, background, examinations, routine analyses as well as fasting insulin levels were obtained. IR was considered if HOMA was higher than 2.9. A step by step logistic regression was done to obtain the best variables to predict IR. A logistic equation, categorical scale and simple additive scale from the beta coefficients was then constructed and was compared with other instruments designed to predict IR.

RESULTS

IR prevalence was 25.2%. There were no differences between genders or by age. The four variables that entered the model were fasting plasma glucose, BMI, HDL cholesterol and diastolic blood pressure. The logistic model had good adjustment. The logistic equation was: IR = 1/ 1 + exp (-[-21.011) - [0.119 * fasting plasma glucose] - [0.231 * BMI] - [-0.046 * HDL cholesterol] - [0.048 * diastolic blood pressure]). The scale constructed assesses each subject between -1 and 7 points; cutoff to predict IR was established at 3.5 points, obtaining a sensitivity and specificity similar to the McAuley index and better than the triglycerides/HDL cholesterol ratio, the first model of Stern and the diagnosis of metabolic syndrome according to ATP-III.

DISCUSSION

A very easy-to-use instrument has been obtained to predict IR by means of exploratory measures and routine biochemical measures, which makes it possible to select the patients at the greatest risk in order to intensify preventive actions in them.

Ultrasonography for the evaluation of visceral fat and the metabolic syndrome

Association between abdominal obesity and cardiovascular disease has been related with visceral adiposity, through the predisposition of developing type 2 diabetes mellitus and metabolic syndrome (MS). Sonography is a simple and reliable method to measure both subcutaneous and visceral fat. To analyze the relationship of anthropometric measurements with abdominal adiposity measured by sonography and to analyze the utility of sonography in the prediction of insulin resistance (IR) and the other components of MS. Visceral fat measurements by sonography correlated better with components of MS than did subcutaneous fat measurements. Preperitoneal circumference (PC) was strongly correlated with all components of MS and with IR expressed as a homeostasis model assessment (HOMA) index for IR. PC was better than waist circumference (WC) in predicting triglyceride levels, apolipoprotein B levels, and HOMA index, but WC was better than PC in predicting high-density lipoprotein cholesterol levels. The area under the receiver operating characteristic curve was 0.699 for PC and 0.684 for WC, in subjects with body mass index 25 kg/m2 or greater (P=.024 and .015, respectively). PC and WC showed good correlation with HOMA index (Spearman correlation coefficient=0.306, P<.001 and .206, P<.001, respectively). Abdominal visceral fat is better correlated with MS than subcutaneous fat; sonography is a useful method to evaluate the abdominal fat; PC is the best sonography parameter correlated with components of MS, and in overweight and obese subjects, PC is better than WC at predicting components of the MS.