Additional links
- See abstract on Pubmed
- Fulltext from Springer
- FindIt @ MIT (includes paper holdings)
- View supplementary info (via publisher)
- HTML link
My institution
If you're not at MIT, change your settings:
Related Articles
- A Weight Index for the Standardized Uptake Value in 2-Deoxy-2-[F-18]fluoro-d. Mol Imaging Biol 9:91 (2007)
- A rigorous upper bound of a scalar self-propagator in a random lattice ensemble in higher dimensions. 105:363 (1986)
- Oxidation Behavior of C/SiC Composite with CVD SiC-B4C Coating in a Wet Oxygen Environment. 16:83 (2009)
- Modelling Phosphorus Retention in Lakes and Reservoirs. 6:487 (2006)
- A-high-order accuracy explicit difference scheme for solving the equation of two-dimensional parabolic type. 17:1075 (1996)
Diabetologia () (2009)
Metabolic Unit, ISIB-CNR, Corso Stati Uniti, 4, 35127, Padova, Italy.
Aims/hypothesis Minimal model analysis for insulin sensitivity has been validated against the glucose clamp and is an accepted method for estimating insulin sensitivity from IVGTT. However minimal model analysis requires a 3 h test and relevant expertise to run the mathematical model. The aim of this study was to suggest a simple predictor of minimal model analysis index using only 1 h IVGTT.
Methods We studied participants with different clinical characteristics who underwent 3 h regular (n = 336) or insulin-modified (n = 160) IVGTT, or 1 h IVGTT and euglycaemic–hyperinsulinaemic clamp (n = 247). Measures of insulin sensitivity were insulin sensitivity index estimated by minimal model analysis (SI) and the mean glucose infusion rate (clamp) (M). A calculated SI (CSI) predictor, $${\text{CS}}_{{\text{I}}} = {\text{ $ \alpha $ }} \times {K_{\text G} } \mathord{\left/ {\vphantom {{K_{G} } {{\left( {{\Delta {\text{AUC}}_{{{\text{INS}}}} } \mathord{\left/ {\vphantom {{\Delta {\text{AUC}}_{{{\text{INS}}}} } T}} \right. \kern-\nulldelimiterspace} T} \right)}}}} \right. \kern-\nulldelimiterspace} {{\left( {{\Delta {\text{AUC}}_{{{\text{INS}}}} } \mathord{\left/ {\vphantom {{\Delta {\text{AUC}}_{{{\text{INS}}}} } T}} \right. \kern-\nulldelimiterspace} T} \right)}}$$, was suggested, based on the calculation of the rate of glucose disappearance KG and the suprabasal AUC of insulin concentration ΔAUCINS over T = 40 min. For all the participants, α was assumed equal to the regression line slope between KG/(ΔAUCINS/T) and SI in control participants.
Results CSI and SI showed high correlation (R2 = 0.68–0.96) and regression line slopes of approximately one in the majority of groups. CSI tended to overestimate SI in type 2 diabetic participants, but results were more reliable when CSI was computed with insulin-modified rather than regular IVGTT. CSI showed behaviours similar to SI as regards relationships with BMI, acute insulin response and sex. CSI showed good correlation with M (R2 = 0.82).
Conclusions/interpretation A short test can achieve a good approximation of minimal model analysis and clamp insulin sensitivity. The importance of a method such as CSI is that it allows analysis of IVGTT datasets with samples limited to 1 h.
|
PMID: 19876614
|
DOI: 10.1007/s00125-009-1547-9
