Žarković Miloš, Ćirić Jasmina, Beleslin Biljana, Stojković Mirjana, Savić Slavica, Stojanović Miloš, Lalić Tijana
a Internal Medicine, School of Medicine , University of Belgrade , Belgrade , Serbia.
b Clinic of Endocrinology, Diabetes and Diseases of Metabolism , Clinical Centre of Serbia , Belgrade , Serbia.
Scand J Clin Lab Invest. 2017 Jul;77(4):295-297. doi: 10.1080/00365513.2017.1306878. Epub 2017 Mar 31.
Assessment of insulin sensitivity based on a single measurement of insulin and glucose, is both easy to understand and simple to perform. The tests most often used are HOMA and QUICKI. The aim of this study was to assess the biological variability of estimates of insulin sensitivity using HOMA and QUICKI indices. After a 12-h fast, blood was sampled for insulin and glucose determination. Sampling lasted for 90 min with an intersample interval of 2 min. A total of 56 subjects were included in the study, and in nine subjects sampling was done before and after weight reduction, so total number of analyzed series was 65. To compute the reference value of the insulin sensitivity index, averages of all 46 insulin and glucose samples were used. We also computed point estimates (single value estimates) of the insulin sensitivity index based on the different number of insulin/glucose samples (1-45 consecutive samples). To compute the variability of point estimates a bootstrapping procedure was used using 1000 resamples for each series and for each number of samples used to average insulin and glucose. Using a single insulin/glucose sample HOMA variability was 26.18 ± 4.31%, and QUICKI variability was 3.30 ± 0.54%. For 10 samples variability was 11.99 ± 2.22% and 1.62 ± 0.31% respectively. Biological variability of insulin sensitivity indices is significant, and it can be reduced by increasing the number of samples. Oscillations of insulin concentration in plasma are the major cause of variability of insulin sensitivity indices.
