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A simple index derived from triglycerides and blood glucose for identifying insulin resistance / 中华内分泌代谢杂志
Chinese Journal of Endocrinology and Metabolism ; (12): 392-396, 2012.
Article in Chinese | WPRIM | ID: wpr-425960
ABSTRACT
ObjectiveTo compare the sensitivity and specificity of a new index of insulin resistance (IR) derived from plasma triglyceride and glucose with homeostasis model assessment for insulin resistance index ( HOMA-IR) and insulin sensitivity index from frequent sampling intravenous glucose tolerance test (FSIGT-ISI).Methods A total of 1024 subjects (240 normal control,335 with obesity,312 impaired glucose regulation,and 137 type 2 diabetes mellitus) were included in the present study.Standard oral glucose tolerance test,insulin release test,lipid profiles,and other biochemical markers were measured. Among them 540 subjects were selected to undertake FSIGT.TyG index is derived from plasma triglyceride and fasting glucose.TyG2 index is derived from plasma triglyceride and postprandial 2 plasma glucose.ResultsPearson correlation coefficient between TyG and HOMA-IR or FSIGT-ISI was 0.427 ( P<0.01 ) and -0.100 ( P=0.024 ),respectively,and that between TyG2 and HOMA-IR or FSIGT-ISI was 0.455 ( P<0.01 ) and - 0.162 ( P<0.01 ),respectively.The sensitivity and specificity of TyG index for diagnosis of IR was 68.5% and 63.5% compared with HOMA-IR,and 68.5% and49.5% compared with FSIGT-ISI.For TyG2 index,the slightly higher sensitivity ( 81.7% with HOMA-IR,75.7% with FSIGT-ISI),but lower specificity (51.5% with HOMA-IR,48.2% with FSIGT-ISI) were found.ConclusionsBothTyGandTyG2 indices could be used as a surrogate for assessing IR in Chinese subjects.However,considering its moderately high sensitivity but low specificity,these two indices are limited in the use of large-scale epidemiological screening.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Endocrinology and Metabolism Year: 2012 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Endocrinology and Metabolism Year: 2012 Type: Article