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.
Buchanan, T. A.
中科院分区:
医学1区
文献类型:
--
作者:
Xiang, A. H.;Watanabe, R. M.;Buchanan, T. A.

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人们对替代品在评估胰岛素敏感性随时间变化的表现方面知之甚少。该报告将最新的胰岛素敏感性 HOMA (HOMA2-%S) 和 OGTT 的松田指数与纵向设置和横断面设置中频繁采样的 IVGTT (FSIGT) 的基于最小模型的胰岛素敏感性 (SI) 估计值进行了比较。使用了两项纵向研究:一项是自然观察研究,对 338 名个体进行了中位随访 4 年;另一项是自然观察研究。其中一项是一项临床治疗研究,其中 97 名受试者接受了吡格列酮治疗并随访了 1 年。在基线和随访时进行了成对的 OGTT 和 FSIGT。计算相关性。通过模拟研究调查了测量不确定度的影响。 HOMA2-%S 与基线或随访数据的 SI 之间的相关性在之前报告的范围内 (0.61-0.69)。相比之下,随时间变化的相关性仅为 0.35-0.39。横截面数据的松田指数与SI的相关性为0.66-0.72,纵向变化的松田指数与SI的相关性为0.40-0.48。两项研究中变化的相关性均显着低于横截面相关性(p<0.03)。模拟结果表明,变化的相关性降低并不能用误差传播来解释,这支持了替代物在完全捕获胰岛素敏感性纵向变化方面的真正局限性。在评估胰岛素敏感性的纵向变化时,应谨慎使用源自横截面数据的 HOMA 和松田指数。
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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