[1. Ausk KJ, Boyko EJ, Ioannou GN. Insulin resistance predicts mortality in nondiabetic individuals in the U.S. Diabetes Care. 2010;33:1179e8510.2337/dc09-2110]Search in Google Scholar
[2. Facchini FS, Hua N, Abbasi F, Reaven GM. Insulin resistance as a predictor of age-related diseases. J Clin Endocrinol Metab. 2001;86:3574-8.10.1210/jcem.86.8.7763]Search in Google Scholar
[3. McLaughlin TL, Reaven GM. Beyond type 2 diabetes: the need for a clinically useful way to identify insulin resistance. Am J Med. 2003;114:501e210.1016/S0002-9343(03)00122-0]Search in Google Scholar
[4. Raynaud E, Perez-Martin A, Brun JF, Benhaddad AA, Mercier J - Revised concept for the estimation of insulin sensitivity from a single sample. Diabetes Care. 1999;22:1003-1004.10.2337/diacare.22.6.1003]Search in Google Scholar
[5. Bonora E, Targher G, Alberiche M, et al. Homeostasis model assessment closely mirrors the glucose clamp technique in the assessment of insulin sensitivity: studies in subjects with various degrees of glucose tolerance and insulin sensitivity. Diabetes Care. 2000;23:57-63.10.2337/diacare.23.1.57]Search in Google Scholar
[6. Katz A, Nambi SS, Mather K, et al. Quantitative insulin sensitivity check index: a simple, accurate method for assessing insulin sensitivity in humans. J Clin Endocrinol Metab. 2000;85:2402-2410.10.1210/jcem.85.7.6661]Search in Google Scholar
[7. Duncan MH, Singh BM, Wise PH, Carter G, Alaghband-Zadeh J. A simple measure of insulin resistance. Lancet. 1995:346:120-121.10.1016/S0140-6736(95)92143-5]Search in Google Scholar
[8. Anderson RL, Hamman RF, Savage PJ, et al. Exploration of simple insulin sensitivity measures derived from frequently sampled intravenous glucose tolerance (FSIGT) tests: the Insulin Resistance Atherosclerosis Study. Am J Epidemiol. 1995;142:724-732.10.1093/aje/142.7.7247572943]Search in Google Scholar
[9. Belfi ore F, Iannello S, Volpicelli G. Insulin sensitivity indices calculated from basal and OGTT-induced insulin, glucose and FFA levels. Mol Genet Metab. 1998;63:134-141.10.1006/mgme.1997.26589562967]Search in Google Scholar
[10. McAuley KA, Williams SM, Mann JI, et al. Diagnosing insulin resistance in the general population. Diabetes Care. 2001;24:460-464.10.2337/diacare.24.3.46011289468]Search in Google Scholar
[11. Alberti KG, Zimmet P, Shaw J. Metabolic syndrome - a new worldwide defi nition. A Consensus Statement from the International Diabetes Federation. Diabet Med. 2006;23(5):469-80.10.1111/j.1464-5491.2006.01858.x16681555]Search in Google Scholar
[12. ***Eng J. ROC analysis: web-based calculator for ROC curves. Baltimore: Johns Hopkins University [updated 2006 May 17; retrieved November 18 - December 18, 2011]. Available from: http://www.jrocfi t.org.]Search in Google Scholar
[13. Alberti KG, Eckel RH, Grundy SM, et al. Harmonizing the Metabolic Syndrome. A Joint Interim Statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation. 2009;120(16):1640-1645.10.1161/CIRCULATIONAHA.109.19264419805654]Search in Google Scholar
[14. Simmons RK, Alberti KG, Gale EA, et al. The metabolic syndrome: useful concept or clinical tool? Report of a WHO Expert Consultation. Diabetologia. 2010 Apr;53(4):600-5.10.1007/s00125-009-1620-420012011]Search in Google Scholar
[15. Ionescu-Targoviste C, Ioacara S, Guja C, Sabau S, Lichiardopol R, Mihai A, et al. A pathophysiological approach to metabolic syndrome using factor analysis in an adult Romanian population. Arch Physiol Biochem. 2006;112(3):182-8.10.1080/1381345060097637417132544]Search in Google Scholar
[16. Yip J, Facchini FS, Reaven GM. Resistance to insulin-mediated glucose disposal as a predictor of cardiovascular disease. J Clin Endocrinol Metab. 1998;83:2773-6.10.1210/jcem.83.8.50059709945]Search in Google Scholar
[17. Primeau V, Coderre L, Karelis A, et al. Characterizing the profi le of obese patients who are metabolically healthy. Int J Obes (Lond). 2011;35(7):971-81.10.1038/ijo.2010.21620975726]Search in Google Scholar
[18. Miller G, Thienpont L, Uytfanghe K, et al. for the Insulin Standardization Work Group. Toward Standardization of Insulin Immunoassays Clinical Chemistry. 2009;55:1011-1018.]Search in Google Scholar
[19. Balkau B, Charles MA, Drivsholm T, et al. Frequency of the WHO metabolic syndrome in European cohorts, and an alternative defi nition of an insulin resistance syndrome. Diabete Metab. 2002;28:364e76.]Search in Google Scholar
[20. Ascaso J, Pardo S, Real J, Lorente R, Priego A, Carmena R. Diagnosing Insulin Resistance by Simple Quantitative Methods in Subjects With Normal Glucose Metabolism. Diabetes Care. 2003;26:3320-3325.10.2337/diacare.26.12.332014633821]Search in Google Scholar
[21. Lee S, Choi S, Kim H, et al. Cutoff Values of Surrogate Measures of Insulin Resistance for Metabolic Syndrome in Korean Non-diabetic Adults. Korean Med Sci. 2006;21:695-700.10.3346/jkms.2006.21.4.695272989316891815]Search in Google Scholar
[22. Rabasa-Lhoret R, Laville M. Mesurer l'insulinosensibilite en pratique clinique. Diabetes Metab (Paris). 2001;27:201-208.]Search in Google Scholar
[23. Sarafi dis PA, Lasaridis AN, Nilsson PM, et al. Validity and reproducibility of HOMA-IR, 1/HOMA-IR, QUICKI and McAuley's indices in patients with hypertension and type II diabetes. J Hum Hypertens. 2007;21(9):709-16.10.1038/sj.jhh.100220117443211]Search in Google Scholar
[24. Bonora E, Kiechl S, Willeit J, et al. Insulin resistance as estimated by homeostasis model assessment predicts incident symptomatic cardiovascular disease in Caucasian subjects from the general population. The Bruneck Study. Diabetes Care. 2007;30:318e2410.2337/dc06-091917259501]Search in Google Scholar
[25. Wilson PW, Meigs JB, Sullivan L, Fox CS, Nathan DM, D'Agostino RB. Prediction of incident diabetes mellitus in middle-aged adults: the Framingham Offspring Study. Arch Intern Med. 2007;167:1068-1074.10.1001/archinte.167.10.106817533210]Search in Google Scholar
[26. Carlos Lorenzo, Steven M. Haffner, Alena Stancakova, Markku Laakso. Relation of Direct and Surrogate Measures of Insulin Resistance to Cardiovascular Risk Factors in Nondiabetic Finnish Offspring of Type 2 Diabetic Individuals. J Clin Endocrinol Metab. 2010;95:5082-5090.10.1210/jc.2010-114420702522]Search in Google Scholar
[27. Mottillo S, Filion K, Genest J, et al. The Metabolic Syndrome and Cardiovascular Risk - A Systematic Review and Meta-Analysis. J Am Coll Cardiol. 2010 28;56(14):1113-32.10.1016/j.jacc.2010.05.03420863953]Search in Google Scholar
[28. SongY, Manson JE, Tinker L, et al. Insulin sensitivity and insulin secretion determined by homeostasis model assessment and risk of diabetes in a multiethnic cohort of women. The women’s health initiative observational study. Diabetes Care. 2007;30:1747e52. 10.2337/dc07-0358195223517468352]Search in Google Scholar