Published in:
01-12-2007 | Article
Within-subject variability of measures of beta cell function derived from a 2 h OGTT: implications for research studies
Authors:
K. M. Utzschneider, R. L. Prigeon, J. Tong, F. Gerchman, D. B. Carr, S. Zraika, J. Udayasankar, B. Montgomery, A. Mari, S. E. Kahn
Published in:
Diabetologia
|
Issue 12/2007
Login to get access
Abstract
Aims/hypothesis
Knowledge of the within-subject variability of a parameter is required to properly design and calculate sample sizes for longitudinal studies. We sought to determine the day-to-day variability of measures of beta cell function derived from an OGTT.
Methods
Thirty-seven adults (13 with normal glucose tolerance, ten with impaired glucose tolerance, 14 with type 2 diabetes) underwent a standard 2 h 75 g OGTT on two separate days (median time between tests, 7 days; range, 5–14). From these data, the reproducibility of several indices of beta cell function were determined: insulinogenic index (ΔI0–30/ΔG0–30), early C-peptide response (ΔCP0–30/ΔG0–30), incremental AUC insulin to glucose response (incAUCins/incAUCglu), integrated insulin secretion response from 0 to 120 min (IS/Glu0–120) and indices of beta cell function derived from a mathematical model.
Results
Within-subject variability for ΔI0–30/ΔG0–30 (CV 57.1%) was higher than ΔCP0–30/ΔG0–30 (CV 34.7%). Measures integrated over the full 120 min of the OGTT, incAUCins/incAUCglu (CV 24.9%) and IS/Glu0–120 (CV 17.4%), demonstrated less variability. The mathematical model-derived measures of beta cell glucose sensitivity (CV 20.3%) and potentiation (CV 33.0%) showed moderate variability. The impact of the different measures’ variability on sample size (30% change from baseline) is demonstrated by calculated sample sizes of 89 for ΔI0–30/ΔG0–30, 37 for ΔCP0–30/ΔG0–30, 21 for incAUCins/incAUCglu and 11 for IS/Glu0–120.
Conclusions/interpretation
Some OGTT-derived indices of beta cell function, in particular the insulinogenic index, demonstrate high within-subject variability. Integrated measures that utilise multiple time points and measures that use C-peptide show less variability and may lead to a reduced sample size requirement.