Korean J Fam Med.  2016 May;37(3):188-196. 10.4082/kjfm.2016.37.3.188.

Comparison of Surrogate Markers as Measures of Uncomplicated Insulin Resistance in Korean Adults

Affiliations
  • 1Department of Family Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea. indi5645@yuhs.ac
  • 2Department of Family Medicine, Seoul Red Cross Hospital, Seoul, Korea.
  • 3Biostatistics Collaboration Unit, Department of Research Affairs, Yonsei University College of Medicine, Seoul, Korea.

Abstract

BACKGROUND
Metabolic syndrome (MS) is known to increase the risk of various cardiometabolic diseases and in-sulin resistance (IR) has known to have central role in the development of MS. Many surrogate indices of IR have been proposed and the detection of MS might be a suitable model for assessing the accuracy of surrogate indices. The aims of our study are to invest the most appropriate index by assessment of the diagnostic capacity of IR among each surrogate index and identifying cut-off values for discriminating uncomplicated MS in Korean adults.
METHODS
A cross-sectional study was performed, assessing 294 Korean adults, 85 of whom were diagnosed with uncomplicated MS. The sensitivities and specificities of five surrogate IR indices were compared to discriminate MS from healthy subjects; these included fasting serum insulin, homeostasis model assessment-insulin resistance index, quantitative insulin sensitivity check index, McAuley index, and Disse index. Correlations between each index value were assessed using Pearson's and Spearman's correlation methods.
RESULTS
The McAuley index showed the highest area under the curve (0.85), specificity (86.12%), accuracy (82.31%), positive predictive value (68.13%), and negative predictive value (88.67%) to distinguish MS, with a cut-off point of 5.3 defined. Correlation coefficients of the five indices showed that the McAuley index had the strongest correlation with IR.
CONCLUSION
The McAuley index showed the best accuracy in the detection of MS as a surrogate marker of IR. To establish more effective and accurate standards of measuring IR, comprehensive and multi-scaled studies are required.

Keyword

Metabolic Syndrome; Insulin Resistance; McAuley Index; Koreans

MeSH Terms

Adult*
Asian Continental Ancestry Group
Biomarkers*
Cross-Sectional Studies
Fasting
Healthy Volunteers
Homeostasis
Humans
Insulin Resistance*
Insulin*
Sensitivity and Specificity
Biomarkers
Insulin
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