Prediction of clamp-derived insulin sensitivity from the oral glucose insulin sensitivity index
نویسندگان
چکیده
منابع مشابه
Insulin sensitivity by oral glucose minimal models: validation against clamp.
Measuring insulin sensitivity in the presence of physiological changes in glucose and insulin concentrations, e.g., during a meal or OGTT, is important to better understand insulin resistance in a variety of metabolic conditions. Recently, two oral minimal models have been proposed to measure overall insulin sensitivity (S(I)) and its selective effect on glucose disposal (S(I)*) from oral tests...
متن کاملComparison of oral glucose insulin sensitivity with other insulin sensitivity surrogates from oral glucose tolerance tests in Chinese.
INTRODUCTION There is no single method of measuring insulin resistance that is both accurate and can be easily performed by general researchers. We validate the accuracy of oral glucose insulin sensitivity (OGIS) in the Chinese by comparing the OGIS120 and OGIS180, homeostasis model assessment of insulin resistance (HOMA-IR), and quantitative insulin sensitivity check index (OUICKI) with steady...
متن کاملThe Clamp-Like Index: a novel and highly sensitive insulin sensitivity index to calculate hyperinsulinemic clamp glucose infusion rates from oral glucose tolerance tests in nondiabetic subjects.
OBJECTIVE Insulin resistance, the underlying pathophysiological mechanism of the metabolic syndrome, can not only predict type 2 diabetes development but also cardiovascular disease. Thus, precise insulin resistance measurement in individuals at risk for metabolic diseases would support clinical risk stratification. However, the gold standard for measuring insulin resistance, the hyperinsulinem...
متن کاملClamp-like Index: a Novel, Highly Sensitive Insulin Sensitivity Index to Calculate Hyperinsulinemic Clamp Glucose Infusion Rates from Oral Glucose Tolerance Test in Nondiabetic Humans
Objective. Insulin resistance (IR), the underlying pathophysiological mechanism of the metabolic syndrome, could predict not only type-2 diabetes (T2DM) development, but also cardiovascular disease. Thus, precise IR measurement in individuals at risk for metabolic diseases would support clinical risk stratification. However, the “gold-standard” to measure IR, the hyperinsulinemic clamp-test, is...
متن کاملPrediction of the Insulin Sensitivity Index using Bayesian Networks
The insulin sensitivity index (SI) can be used in assessing the risk of developing type 2 diabetes. An intravenous study is used to determine SI using Bergmans minimal model. However, an intravenous study is time consuming and expensive and therefore not suitable for large scale epidemiological studies. In this paper we learn the parameters and structure of several Bayesian networks relating me...
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ژورنال
عنوان ژورنال: Diabetologia
سال: 2018
ISSN: 0012-186X,1432-0428
DOI: 10.1007/s00125-018-4568-4