Introduction:

In Cuba, there is no consensus about the value of the conicity index that should be considered as risk to identify dysglycemia.

Objective:

To determine the cut-off point of conicity index as a predictor of dysglycemia in both sexes.

Methods:

Cross-sectional descriptive study was conducted with 975 people (523 women and 452 men), who attended an outpatient consultation at the National Endocrinology Institute for suspected diabetes mellitus from April 2008 to April 2013. Interrogation, physical examination and complementary studies (oral glucose tolerance test, fasting insulinemia, lipids and uric acid) were performed. Pearson's correlation coefficient, logistic regression analysis and Receiver Operator Characteristic curve analysis were used for statistical processing.

Results:

In the female subjects, a directly proportional and significant correlation was observed between the conicity index and the fasting blood glucose variables and at 2 h, fasting insulinemia, cholesterol, triglycerides, uric acid and the index homeostasis model assessment of insulin resistance. In the male subjects, a directly proportional and significant correlation was observed between the conicity index and the variables studied, except with triglycerides. The conicity index had its highest predictive power of dysglycemia with a cut-off point of 1.18 in women and 1.20 in men.

Conclusions:

The optimal cut-off point of conicity index as a predictor of dysglycemia was 1.18 for women and 1.20 for men; that is to say, it was a good predictor of dysglycemias in the female subjects, but not so for male subjects.

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