印度1型糖尿病青少年双重糖尿病的胰岛素敏感性指标比较

C. Oza, A. Khadilkar, M. Karguppikar, K. Gondhalekar, V. Khadilkar
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Hence, some equations have been developed and validated against data from euglycemic-hyper-insulinemic clamp tests (the gold standard) to estimate IS. 1) To assess IS using available equations (EDC, SEARCH and CACTI) and relationship of IS with MS and microalbuminuria in adolescents with T1D, (2) To compare the predictive value of these equations for detection of MS and derive a cut-off to predict the future risk of development of MS and microalbuminuria and (3) To identify the most accurate non-invasive and easy-to-use equation for detecting patients with double diabetes (DD) in a clinical setting. Methods This cross-sectional study included 181 adolescents aged 12–18 years with T1D. Demographic data and laboratory measurements were performed using standard protocols. 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引用次数: 6

摘要

【摘要】目的胰岛素敏感性(IS)在1型糖尿病(T1D)患者代谢综合征(MS)发生发展中的作用越来越被人们所认识。由于T1D患者缺乏内源性胰岛素分泌,通过免疫分析法或胰岛素抵抗评估稳态模型(HOMA-IR)等指标测量胰岛素浓度对评估is没有帮助。因此,已经开发了一些公式,并根据从血糖-高胰岛素钳夹试验(金标准)的数据进行了验证,以估计IS。1)利用现有方程(EDC、SEARCH和CACTI)评估T1D青少年中IS与MS和微量白蛋白尿的关系;(2)比较这些方程对MS检测的预测价值,并推导出预测MS和微量白蛋白尿未来发展风险的截止值;(3)确定在临床环境中检测双重糖尿病(DD)患者的最准确、无创且易于使用的方程。方法对181例12-18岁青少年T1D患者进行横断面研究。人口统计数据和实验室测量采用标准方案进行。IS的计算公式如下:(1)EDC=24.31 - 12.22×(WHR) - 3.29×(高血压)- 0.57×(HbA1c), (2) SEARCH=exp(4.64725 - 0.02032(腰围)- 0.09779(HbA1c) - 0.00235(甘油三酯),(3)cactii - exa =exp(4.1075-0.01299×(腰围)- 1.05819×(胰岛素剂量)- 0.00354×(甘油三酯)- 0.00802×(DBP))。结果3种方法测定的IS与MS及微量白蛋白尿呈显著负相关(p<0.05)。SEARCH方法检测IS的临界值为5.485 mg/kg/min,对ms的检测灵敏度和特异性最高。结论SEARCH公式的IS可用于常规临床实践中检测有代谢和微血管并发症风险的印度T1D青少年DD。
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Comparison of insulin sensitivity indices for detection of double diabetes in Indian adolescents with type 1 diabetes
Abstract Objectives The role of insulin sensitivity (IS) in the development and progression of metabolic syndrome (MS) in subjects with type-1 diabetes (T1D) is being increasingly recognized. As patients with T1D lack endogenous insulin secretion, measurement of insulin concentration by immunoassay or by indices such as homeostasis model of assessment for insulin resistance (HOMA-IR) is not helpful in assessing IS. Hence, some equations have been developed and validated against data from euglycemic-hyper-insulinemic clamp tests (the gold standard) to estimate IS. 1) To assess IS using available equations (EDC, SEARCH and CACTI) and relationship of IS with MS and microalbuminuria in adolescents with T1D, (2) To compare the predictive value of these equations for detection of MS and derive a cut-off to predict the future risk of development of MS and microalbuminuria and (3) To identify the most accurate non-invasive and easy-to-use equation for detecting patients with double diabetes (DD) in a clinical setting. Methods This cross-sectional study included 181 adolescents aged 12–18 years with T1D. Demographic data and laboratory measurements were performed using standard protocols. IS was calculated using following equations:(1) EDC=24.31−12.22×(WHR)−3.29×(hypertension)−0.57×(HbA1c), (2) SEARCH=exp(4.64725−0.02032(waist)−0.09779(HbA1c)−0.00235(Triglycerides), (3)CACTI-exA=exp(4.1075–0.01299×(waist)−1.05819×(insulin dose)−0.00354×(Triglycerides)−0.00802×(DBP)). Results IS determined by all three methods had significant negative correlation (p<0.05) with MS as well as with microalbuminuria. The cut-off value of 5.485 mg/kg/min by SEARCH method for determining IS had the highest sensitivity and specificity in identifying MS. Conclusions IS by SEARCH equation may be used in routine clinical practice to detect DD in Indian adolescents with T1D at risk of developing metabolic as well as microvascular complications.
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