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利用中国人群代谢综合征组分估算一期胰岛素分泌。

The estimation of first-phase insulin secretion by using components of the metabolic syndrome in a chinese population.

机构信息

Division of Endocrinology, Department of Internal Medicine, Shuang Ho Hospital, School of Medicine, College of Medicine, Taipei Medical University, Taipei 110, Taiwan.

Department of Family Medicine, Cardinal Tien Hospital, School of Medicine, Fu-Jen Catholic University, New Taipei City 242, Taiwan.

出版信息

Int J Endocrinol. 2015;2015:675245. doi: 10.1155/2015/675245. Epub 2015 Mar 1.

Abstract

Aims. There are two phases of insulin secretion, the first (FPIS) and second phase (SPIS). In this study, we built equations to predict FPIS with metabolic syndrome (MetS) components and fasting plasma insulin (FPI). Methods. Totally, 186 participants were enrolled. 75% of participants were randomly selected as the study group to build equations. The remaining 25% of participants were selected as the external validation group. All participants received a frequently sampled intravenous glucose tolerance test, and acute insulin response after the glucose load (AIRg) was obtained. The AIRg was considered as FPIS. Results. When MetS components were only used, the following equation was built: log (FPIS) = 1.477 - 0.119 × fasting plasma glucose (FPG) + 0.079 × body mass index (BMI) - 0.523 × high-density lipoprotein cholesterol (HDL-C). After FPI was added, the second equation was formulated: log (FPIS) = 1.532 - 0.127 × FPG + 0.059 × BMI - 0.511 × HDL-C + 0.375 × log (FPI), which provided a better accuracy than the first one. Conclusions. Using MetS components, the FPIS could be estimated accurately. After adding FPI into the equation, the predictive power increased further. We hope that these equations could be widely used in daily practice.

摘要

目的

胰岛素分泌有两个时相,第一时相(FPIS)和第二时相(SPIS)。本研究旨在建立基于代谢综合征(MetS)成分和空腹血浆胰岛素(FPI)预测 FPIS 的方程。

方法

共纳入 186 名参与者。75%的参与者被随机选择作为研究组来建立方程,其余 25%的参与者作为外部验证组。所有参与者均接受了频繁采样静脉葡萄糖耐量试验,并获得了葡萄糖负荷后的急性胰岛素反应(AIRg),将 AIRg 视为 FPIS。

结果

仅使用 MetS 成分时,建立了以下方程:log(FPIS)=1.477-0.119×空腹血糖(FPG)+0.079×体重指数(BMI)-0.523×高密度脂蛋白胆固醇(HDL-C)。加入 FPI 后,制定了第二个方程:log(FPIS)=1.532-0.127×FPG+0.059×BMI-0.511×HDL-C+0.375×log(FPI),该方程的准确性优于第一个方程。

结论

使用 MetS 成分可以准确估计 FPIS,将 FPI 加入方程后,预测能力进一步提高。我们希望这些方程能够在日常实践中得到广泛应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef03/4359803/41a1babf5065/IJE2015-675245.001.jpg

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