HOMA and Matsuda indices of insulin sensitivity: poor correlation with minimal model-based estimates of insulin sensitivity in longitudinal settings.
HOMA and Matsuda indices of insulin sensitivity: poor correlation with minimal model-based estimates of insulin sensitivity in longitudinal settings.
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DOI:
10.1007/s00125-013-3121-8
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发表时间:
2014-02
期刊:
影响因子:
8.2
通讯作者:
Buchanan, T. A.
中科院分区:
文献类型:
--
作者:
Xiang, A. H.;Watanabe, R. M.;Buchanan, T. A.
关键词:
Little is known about the performance of surrogates in assessing changes in insulin sensitivity over time. This report compared updated HOMA of insulin sensitivity (HOMA2-%S) and the Matsuda index from OGTTs with minimal model-based estimates of insulin sensitivity (SI) from frequently sampled IVGTTs (FSIGTs) in longitudinal settings and cross-sectional settings. Two longitudinal studies were used: one a natural observational study in which 338 individuals were followed for a median of 4 years; one a clinical treatment study in which 97 individuals received pioglitazone treatment and were followed for 1 year. Pairs of OGTTs and FSIGTs were performed at baseline and follow-up. Correlations were computed. Impact of measurement uncertainty was investigated through simulation studies. Correlations between HOMA2-%S and SI from baseline or follow-up data were in the range reported previously (0.61-0.69). By contrast, correlations for changes over time were only 0.35-0.39. The corresponding correlations between the Matsuda index and SI were 0.66-0.72 for cross-sectional data and 0.40-0.48 for longitudinal change. Correlations for changes were significantly lower than the cross-sectional correlations in both studies (p<0.03). Simulation results demonstrated that the reduced correlations for change were not explained by error propagation, supporting a real limitation of surrogates to fully capture longitudinal changes in insulin sensitivity. HOMA and Matsuda indices derived from cross-sectional data should be used cautiously in assessing longitudinal changes in insulin sensitivity.
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影响因子:
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作者:
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通讯作者:
FARQUHAR, JW
影响因子:
7.7
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Xiang, AH;Peters, RK;Buchanan, TA
通讯作者:
Buchanan, TA
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7.7
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Watanabe, Richard M.;Allayee, Hooman;Buchanan, Thomas A.
通讯作者:
Buchanan, Thomas A.
影响因子:
7.7
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Bergman, RN;Zaccaro, DJ;Rich, SS
通讯作者:
Rich, SS
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7.7
作者:
Ingelsson E;Langenberg C;Hivert MF;Prokopenko I;Lyssenko V;Dupuis J;Mägi R;Sharp S;Jackson AU;Assimes TL;Shrader P;Knowles JW;Zethelius B;Abbasi FA;Bergman RN;Bergmann A;Berne C;Boehnke M;Bonnycastle LL;Bornstein SR;Buchanan TA;Bumpstead SJ;Böttcher Y;Chines P;Collins FS;Cooper CC;Dennison EM;Erdos MR;Ferrannini E;Fox CS;Graessler J;Hao K;Isomaa B;Jameson KA;Kovacs P;Kuusisto J;Laakso M;Ladenvall C;Mohlke KL;Morken MA;Narisu N;Nathan DM;Pascoe L;Payne F;Petrie JR;Sayer AA;Schwarz PE;Scott LJ;Stringham HM;Stumvoll M;Swift AJ;Syvänen AC;Tuomi T;Tuomilehto J;Tönjes A;Valle TT;Williams GH;Lind L;Barroso I;Quertermous T;Walker M;Wareham NJ;Meigs JB;McCarthy MI;Groop L;Watanabe RM;Florez JC;MAGIC investigators
通讯作者:
MAGIC investigators