Author(s): Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, et al.
The steady-state basal plasma glucose and insulin concentrations are determined by their interaction in a feedback loop. A computer-solved model has been used to predict the homeostatic concentrations which arise from varying degrees beta-cell deficiency and insulin resistance. Comparison of a patient's fasting values with the model's predictions allows a quantitative assessment of the contributions of insulin resistance and deficient beta-cell function to the fasting hyperglycaemia (homeostasis model assessment, HOMA). The accuracy and precision of the estimate have been determined by comparison with independent measures of insulin resistance and beta-cell function using hyperglycaemic and euglycaemic clamps and an intravenous glucose tolerance test. The estimate of insulin resistance obtained by homeostasis model assessment correlated with estimates obtained by use of the euglycaemic clamp (Rs = 0.88, p less than 0.0001), the fasting insulin concentration (Rs = 0.81, p less than 0.0001), and the hyperglycaemic clamp, (Rs = 0.69, p less than 0.01). There was no correlation with any aspect of insulin-receptor binding. The estimate of deficient beta-cell function obtained by homeostasis model assessment correlated with that derived using the hyperglycaemic clamp (Rs = 0.61, p less than 0.01) and with the estimate from the intravenous glucose tolerance test (Rs = 0.64, p less than 0.05). The low precision of the estimates from the model (coefficients of variation: 31% for insulin resistance and 32% for beta-cell deficit) limits its use, but the correlation of the model's estimates with patient data accords with the hypothesis that basal glucose and insulin interactions are largely determined by a simple feed back loop.
Referred From: https://www.ncbi.nlm.nih.gov/pubmed/3899825
Author(s): Cholesterol Treatment Trialists’ (CTT) Collaboration, Baigent C, Blackwell L, Emberson J, Holland LE, et al.
Author(s): Freeman DJ, Norrie J, Sattar N, Neely RD, Cobbe SM, et al.
Author(s): Coleman CI, Reinhart K, Kluger J, White CM
Author(s): Ridker PM, Danielson E, Fonseca FA, Genest J, Gotto AM Jr, et al.
Author(s): Baker WL, Talati R, White CM, Coleman CI
Author(s): Sattar N, Preiss D, Murray HM, Welsh P, Buckley BM, et al.
Author(s): DeFronzo RA, Tobin JD, Andres R
Author(s): Koshiyama H, Taniguchi A, Tanaka K, Kagimoto S, Fujioka Y, et al.
Author(s): Miyashita Y, Endo K, Saiki A, Ban N, Yamaguchi T, et al.
Author(s): Sakabe K, Fukuda N, Fukuda Y, Wakayama K, Nada T, et al.
Author(s): Inami N, Nomura S, Shouzu A, Omoto S, Kimura Y, et al.
Author(s): Nakata M, Nagasaka S, Kusaka I, Matsuoka H, Ishibashi S, et al.
Author(s): Yada T, Nakata M, Shiraishi T, Kakei M
Author(s): Ishihara Y, Ohmori K, Mizukawa M, Hasan AU, Noma T, et al.
Author(s): Yamazaki T, Kishimoto J, Ito C, Noda M, Odawara M, et al.