Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub. 2019, 163(3):187-199 | DOI: 10.5507/bp.2019.021

Indirect insulin resistance detection: Current clinical trends and laboratory limitations

Sylwia Placzkowskaa, Lilla Pawlik-Sobeckab, Izabela Kokotb, Agnieszka Piwowarc
a Diagnostics Laboratory for Teaching and Research, Faculty of Pharmacy with the Division of Laboratory Diagnostics, Wroclaw Medical University, Wroclaw, Poland
b Department of Laboratory Diagnostics, Faculty of Pharmacy with the Division of Laboratory Diagnostics, Wroclaw Medical University, Wroclaw, Poland
c Department of Toxicology, Faculty of Pharmacy with the Division of Laboratory Diagnostics, Wroclaw Medical University, Wroclaw, Poland

There is a steady increase in the number of overweight and obese people worldwide and increasingly, younger people. Excess adipose tissue impairs the action of insulin, leading to insulin resistance (IR). Tissue IR is a major factor in relation to cardiovascular disease, metabolic syndrome and diabetes. Thus, it is important to recognize at the pre-disease stage with the possibility of therapeutic intervention. IR is assessed using indicators of epidemiological significance, most often calculated from fasting and postprandial glucose and insulin values, so-called indirect indicators of insulin resistance. The most commonly used parameter is the Homeostatic Model Assessment (HOMA). Although the Quantitative Insulin Sensitivity Check Index (QUICKI), Matsuda Index and the Insulin Secretion-Sensitivity Index-2 (ISSI-2) are also used, the values of these indices established for IR vary for different age, sex, populations and ethnic groups. Thus, appropriate reference values of indirect indices should be determined for such groups, and when this is precluded, data from published studies carried out on the most ethnically, socio-economically and age-matched populations should be applied.

Keywords: insulin resistance, reference interval, decision limit

Received: November 8, 2018; Revised: April 25, 2019; Accepted: May 7, 2019; Prepublished online: June 4, 2019; Published: September 23, 2019  Show citation

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Placzkowska, S., Pawlik-Sobecka, L., Kokot, I., & Piwowar, A. (2019). Indirect insulin resistance detection: Current clinical trends and laboratory limitations. Biomedical papers163(3), 187-199. doi: 10.5507/bp.2019.021
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References

  1. Abdul-Ghani MA, DeFronzo RA. Pathogenesis of Insulin Resistance in Skeletal Muscle J Biomed Biotechnol 2010;2010:476279. doi: 10.1155/2010/476279 Go to original source... Go to PubMed...
  2. Laakso M. Cardiovascular Disease in Type 2 Diabetes From Population to Man to Mechanisms: The Kelly West Award Lecture 2008. Diabetes Care 2010;33(2):442-9. doi: 10.2337/dc09-0749 Go to original source... Go to PubMed...
  3. Eckel RH, Kahn SE, Ferrannini E, Goldfine AB, Nathan DM, Schwartz MW, Smith RJ, Smith SR. Obesity and type 2 diabetes: what can be unified and what needs to be individualized? J Clin Endocrinol Metab 2011;96(6):1654-63. doi: 10.1210/jc.2011-0585 Go to original source... Go to PubMed...
  4. Friedrich N, Thuesen B, Jorgensen T, Juul A, Spielhagen C, Wallaschofksi H, Linneberg A. The association between IGF-I and insulin resistance: a general population study in Danish adults. Diabetes Care 2012;35(4):768-73. doi: 10.2337/dc11-1833 Go to original source... Go to PubMed...
  5. Ziaee A, Esmailzadehha N, Oveisi S, Ghorbani A, Ghanei L. The threshold value of homeostasis model assessment for insulin resistance in Qazvin Metabolic Diseases Study (QMDS): assessment of metabolic syndrome. J Res Health Sci 2015;15(2):94-100. Go to PubMed...
  6. Qu HQ, Li Q, Rentfro AR, Fisher-Hoch SP, McCormick JB. The definition of insulin resistance using HOMA-IR for Americans of Mexican descent using machine learning. PLoS One. 2011;6(6):e21041. doi: 10.1371/journal.pone.0021041 Go to original source... Go to PubMed...
  7. Płaczkowska S, Pawlik-Sobecka L, Kokot I, Piwowar A. Estimation of metabolic factors related to insulin resistance and metabolic syndrome in young people. Scand J Clin Lab Invest 2018;78(4):325-32. https://doi.org/10.1080/00365513.2018.1469787 Go to original source... Go to PubMed...
  8. Gutch M, Kumar S, Razi SM, Gupta KK, Gupta A. Assessment of insulin sensitivity/resistance. Indian J Endocrinol Metab 2015;19(1):160-4. doi: 10.4103/2230-8210.146874 Go to original source... Go to PubMed...
  9. Tohidi M, Ghasemi A, Hadaegh F, Derakhshan A, Chary A, Azizi F. Age- and sex-specific reference values for fasting serum insulin levels and insulin resistance/sensitivity indices in healthy Iranian adults: Tehran Lipid and Glucose Study. Clin Biochem 2014;47(6):432-8. doi: 10.1016/j.clinbiochem.2014.02.007 Go to original source... Go to PubMed...
  10. Bermudez V, Salazar J, Martínez MS, Chávez-Castillo M, Olivar LC, Calvo MJ, Palmar J, Bautista J, Ramos E, Cabrera M, Pachano F, Rojas J. Prevalence and Associated Factors of Insulin Resistance in Adults from Maracaibo City, Venezuela. Adv Prev Med 2016;e9405105. doi: 10.1155/2016/9405105 Go to original source... Go to PubMed...
  11. Bermudez V, Rojas J, Martinez MS, Apruzzese V, Chavez-Castillo M, Gonzalez R, Torres Y, Salazar J, Bello L, Añez R, Chacín M, Toledo A, Cabrera M, Mengual E, Ávila R, Pachano F, López-Miranda J. Epidemiologic Behavior and Estimation of an Optimal Cut-Off Point for Homeostasis Model Assessment-2 Insulin Resistance: A Report from a Venezuelan Population. Int Sch Res Notices 2014;2014:616271. doi: 10.1155/2014/616271 Go to original source... Go to PubMed...
  12. Wallace TM, Levy JC, Matthews DR. Use and abuse of HOMA modeling. Diabetes Care 2004;27(6):1487-95. doi: 10.2337/diacare.27.6.1487 Go to original source... Go to PubMed...
  13. Hellgren MI, Jansson PA, Wedel H, Lindblad U. A lifestyle intervention in primary care prevents deterioration of insulin resistance in patients with impaired glucose tolerance: A randomised controlled trial. Scand J Public Health 2016;44(7):718-25. doi: 10.1177/1403494816663539 Go to original source... Go to PubMed...
  14. Appel SJ. Calculating insulin resistance in the primary care setting: why should we worry about insulin levels in euglycemic patients? J Am Acad Nurse Pract 2005;17(8):331-6. doi: 10.111/j.1745-7599.2005.0052.x Go to original source... Go to PubMed...
  15. Muniyappa R, Lee S, Chen H, Quon MJ. Current approaches for assessing insulin sensitivity and resistance in vivo: advantages, limitations, and appropriate usage. Am J Physiol Endocrinol Metab 2008;294(1):15-26. doi: 10.1152/ajpendo.00645.2007 Go to original source... Go to PubMed...
  16. Pisprasert V, Ingram KH, Lopez-Davila MF, Munoz AJ, Garvey WT. Limitations in the use of indices using glucose and insulin levels to predict insulin sensitivity: impact of race and gender and superiority of the indices derived from oral glucose tolerance test in African Americans. Diabetes Care 2013;36(4):845-53. doi: 10.2337/dc12-0840 Go to original source... Go to PubMed...
  17. Santos JL, Yévenes I, Cataldo LR, Morales M, Galgani J, Arancibia C, Vega J, Olmos P, Flores M, Valderas JP, Pollak F.Development and assessment of the disposition index based on the oral glucose tolerance test in subjects with different glycaemic status. J Physiol Biochem 2016;72(2):121-31. doi: 10.1007/s13105-015-0458-0 Go to original source... Go to PubMed...
  18. American Diabetes Association. 2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes-2018. Diabetes Care 2018;41(Suppl 1):S13-s27. doi: 10.2337/dc18-S002 Go to original source... Go to PubMed...
  19. Haneda M, Noda M, Origasa H, Noto H, Yabe D, Fujita Y, Goto A, Kondo T, Araki E. Japanese Clinical Practice Guideline for Diabetes 2016. J Diabetes Investig 2018;9(3):657-97. doi: 10.1111/jdi.12810 Go to original source... Go to PubMed...
  20. 2017 Guidelines on the management of diabetic patients. A position of Diabetes Poland. Clin Diabet 2017;6SupplA:A1-A80. doi: 10.5603/DK.2017.0001 Go to original source...
  21. Singh B, Saxena A. Surrogate markers of insulin resistance: A review. World J Diabetes 2010;1(2):36-47. doi: 10.4239/wjd.v1.i2.36 Go to original source... Go to PubMed...
  22. Niemczyk S, Szamotulska K, Giers K, Jasik M, Bartoszewicz Z, Romejko-Ciepielewska K, Paklerska E, Gomółka M, Matuszkiewicz-Rowińska J.Homeostatic model assessment indices in evaluation of insulin resistance and secretion in hemodialysis patients. Med Sci Monit 2013;19:592-8. doi: 10.12659/MSM.883978 Go to original source... Go to PubMed...
  23. Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia 1985;28(7):412-9. Go to original source... Go to PubMed...
  24. Levy JC, Matthews DR, Hermans MP. Correct homeostasis model assessment (HOMA) evaluation uses the computer program. Diabetes Care 1998;21(12):2191-2. Go to original source... Go to PubMed...
  25. http://www.dtu.ox.ac.uk/homacalculator/ [Accessed 12.06.2018]
  26. Katz A, Nambi SS, Mather K, Baron AD, Follmann DA, Sullivan G, Quon MJ.Quantitative insulin sensitivity check index: a simple, accurate method for assessing insulin sensitivity in humans. J Clin Endocrinol Metab 2000;85(7):2402-10. doi: 10.1210/jcem.85.7.6661 Go to original source... Go to PubMed...
  27. Kahn SE, Prigeon RL, McCulloch DK, Boyko EJ, Bergman RN, Schwartz MW, Neifing JL, Ward WK, Beard JC, Palmer JP,Quantification of the relationship between insulin sensitivity and beta-cell function in human subjects. Evidence for a hyperbolic function. Diabetes 1993;42(11):1663-72. doi: 10.2337/diab.42.11.1663 Go to original source... Go to PubMed...
  28. Matsuda M, DeFronzo RA. Insulin sensitivity indices obtained from oral glucose tolerance testing: comparison with the euglycemic insulin clamp. Diabetes Care 1999;22(9):1462-70. Go to original source... Go to PubMed...
  29. Kahn SE, Suvag S, Wright LA, Utzschneider KM. Interactions between genetic background, insulin resistance and beta-cell function. Diabetes Obes Metab 2012;14(Suppl3):46-56. doi: 10.1111/j.1463-1326.2012.01650.x Go to original source... Go to PubMed...
  30. Bergman RN, Finegood DT, Ader M. Assessment of insulin sensitivity in vivo. Endocr Rev 1985;6(1):45-86. doi: 10.1210/edrv-6-1-45 Go to original source... Go to PubMed...
  31. Chen T, Xu F, Su JB, Wang XQ, Chen JF, Wu G, Jin Y, Wang XH. Glycemic variability in relation to oral disposition index in the subjects with different stages of glucose tolerance. Diabetol Metab Syndr 2013;5:38. doi: 10.1186/1758-5996-5-38 Go to original source... Go to PubMed...
  32. Blanco-Rojo R, Alcala-Diaz JF, Wopereis S, Perez-Martinez P, Quintana-Navarro GM, Marin C, Ordovas JM, van Ommen B, Perez-Jimenez F, Delgado-Lista J, Lopez-Miranda J. The insulin resistance phenotype (muscle or liver) interacts with the type of diet to determine changes in disposition index after 2 years of intervention: the CORDIOPREV-DIAB randomised clinical trial. Diabetologia 2016;59(1):67-76. doi: 10.1007/s00125-015-3776-4 Go to original source... Go to PubMed...
  33. Retnakaran R, Shen S, Hanley AJ, Vuksan V, Hamilton JK, Zinman B. Hyperbolic relationship between insulin secretion and sensitivity on oral glucose tolerance test. Obesity (Silver Spring) 2008;16(8):1901-7. doi: 10.1038/oby.2008.307 Go to original source... Go to PubMed...
  34. Retnakaran R, Qi Y, Goran MI, Hamilton JK. Evaluation of proposed oral disposition index measures in relation to the actual disposition index. Diabet Med 2009;26(12):1198-203. doi: 10.1111/j.1464-5491.2009.02841.x Go to original source... Go to PubMed...
  35. Allison DB, Paultre F, Maggio C, Mezzitis N, Pi-Sunyer FX. The Use of Areas Under Curves in Diabetes Research. Diabetes Care 1995;18(2):245-50. Go to original source... Go to PubMed...
  36. Henderson M, Rabasa-Lhoret R, Bastard JP, Chiasson JL, Baillargeon JP, Hanley JA, Lambert M. Measuring insulin sensitivity in youth: How do the different indices compare with the gold-standard method? Diabetes Metab 2011; 37(1):72-8. doi: 10.1016/j.diabet.2010.06.008 Go to original source... Go to PubMed...
  37. Borai A, Livingstone C, Kaddam I, Ferns G. Selection of the appropriate method for the assessment of insulin resistance. BMC Med Res Methodol 2011;11:158. doi: 10.1186/1471-2288-11-158 Go to original source... Go to PubMed...
  38. Ricos C, Perich C, Minchinela J, Alvarez V, Simon S, Biosca C, Doménech M, Fernández P, Jiménez CV, Garcia-Lario JV, Cava F. Application of biological variation - a review. Biochem Med (Zagreb) 2009;19:250-9. Go to original source...
  39. Borai A, Livingstone C, Shafi S, Zarif H, Ferns G. Insulin sensitivity (Si) assessment in lean and overweight subjects using two different protocols and updated software. Scand J Clin Lab Invest 2010;70(2):98-103. doi: 10.3109/00365510903544585 Go to original source... Go to PubMed...
  40. Zozulińska D. Historia naturalna cukrzycy. Przew Lek 2006,3:30-9.
  41. Płaczkowska S, Pawlik-Sobecka L, Kokot I, Piwowar A. Incidence of insulin resistance according to specified diagnostic criteria - a preliminary report. Hygeia Public Health 2014;49(4):851-6.
  42. Płaczkowska S, Kokot I, Pawlik-Sobecka L, Piwowar A. Assessment of HOMA1-IR, Matsuda and ISSI-2 indices in relation to the metabolic syndrome features and oral glucose tolerance test in young people. Diagn Lab 2017;53(3):131-8. Go to original source...
  43. Siest G, Henny J, Gräsbeck R, Wilding P, Petitclerc C, Queralto JM, Hyltoft Petersen P. The theory of reference values: an unfinished symphony. Clin Chem Lab Med 2013;51(1):47-64. doi: 10.1515/cclm-2012-0682 Go to original source... Go to PubMed...
  44. Gräsbeck R, Saris NN. Establishment and use of normal values. Scand J Clin Lab Invest 1969;26:62-3.
  45. Gräsbeck R, Fellman J. Normal values and statistics. Scand J Clin Lab Invest. 1968;21(3):193-5. Go to original source... Go to PubMed...
  46. Gräsbeck R. Reference values, why and how. Scand J Clin Lab Invest Suppl 1990;201:45-53. doi: 10.1080/00365519009085800 Go to original source...
  47. Ozarda Y. Reference intervals: current status, recent developments and future considerations. Biochem Med (Zagreb) 2016;26(1):5-11. doi: 10.11613/BM.2016.001 Go to original source... Go to PubMed...
  48. International Federation of Clinical Chemistry, Scientific Committee, Clinical Section. Expert Panel on Theory of Reference Values (EPTRV). The theory of reference values. Part 5. Statistical treatment of collected reference values. Determination of reference limits. Clin Chim Acta 1984;137(1):97f-114f. Go to original source...
  49. CLSI. Defining, Establishing, and Verifying Reference Intervals in the Clinical Laboratory; Approved Guideline-Third Edition. CLSI document C28-A3. Wayne, PA: Clinical and Laboratory Standards Institute; 2008.
  50. Appold K. Determining Laboratory Reference Intervals: CLSI Guideline Makes the Task Manageable. Laboratory Medicine 2009;40(2):75-6. Go to original source...
  51. Yamada C, Mitsuhashi T, Hiratsuka N, Inabe F, Araida N, Takahashi E. Optimal reference interval for homeostasis model assessment of insulin resistance in a Japanese population. J Diabetes Investig 2011;2(5):373-6. doi: 10.1111/j.2040-1124.2011.00113.x Go to original source... Go to PubMed...
  52. Takahara M, Katakami N, Kaneto H, Noguchi M, Shimomura I. Distribution of the Matsuda Index in Japanese healthy subjects. J Diabetes Investig 2013;4(4):369-71. doi: 10.1111/jdi.12056 Go to original source... Go to PubMed...
  53. Graffigna MN, Litwak L, Abdala MM, Akel ME, Aranda C, Gutt S, Ledesma L, Levalle O, Marcial Toro J, Migliano M, Pérez de la Puente M, Pombo F, Rodríguez M, Scaliter H, Tarruella M, Yuma María, Cavallero E.Homa index in healthy subjects. Revista Argentina de Endocrinología y Metabolismo 2005;42(1):12-19.
  54. Szurkowska M, Szafraniec K, Gilis-Januszewska A, Szybinski Z, Huszno B. Insulin resistance indices in population-based study and their predictive value in defining metabolic syndrome]. Przegl Epidemiol 2005;59(3):743-51. Go to original source... Go to PubMed...
  55. Tresaco B, Bueno G, Pineda I, Moreno LA, Garagorri JM, Bueno M. Homeostatic model assessment (HOMA) index cut-off values to identify the metabolic syndrome in children. J Physiol Biochem 2005;61(2):381-8. Go to original source... Go to PubMed...
  56. Keskin M, Kurtoglu S, Kendirci M, Atabek ME, Yazici C. Homeostasis model assessment is more reliable than the fasting glucose/insulin ratio and quantitative insulin sensitivity check index for assessing insulin resistance among obese children and adolescents. Pediatrics 2005;115(4):e500-3. doi: 10.1542/peds.2004-1921 Go to original source... Go to PubMed...
  57. Geloneze B, Vasques AC, Stabe CF, Pareja JC, Rosado LE, Queiroz EC, Tambascia MA; BRAMS Investigators.HOMA1-IR and HOMA2-IR indexes in identifying insulin resistance and metabolic syndrome: Brazilian Metabolic Syndrome Study (BRAMS). Arq Bras Endocrinol Metabol 2009;53(2):281-7. Go to original source... Go to PubMed...
  58. d'Annunzio G, Vanelli M, Pistorio A, Minuto N, Bergamino L, Iafusco D, Lorini R, Arrigo T, Banin P, Cardella F, Cerutti F, Cherubini V, Chiarelli F, Cotellessa M, Crinò A, Meschi F, Toni S, Tonini G. Insulin resistance and secretion indexes in healthy Italian children and adolescents: a multicentre study. Acta Biomed 2009;80(1):21-8.
  59. Gayoso-Diz P, Otero-Gonzalez A, Rodriguez-Alvarez MX, Gude F, Cadarso-Suarez C, Garcia F, De Francisco A.Insulin resistance index (HOMA-IR) levels in a general adult population: curves percentile by gender and age. The EPIRCE study. Diabetes Res Clin Pract 2011;94(1):146-55. doi: 10.1016/j.diabres.2011.07.015 Go to original source... Go to PubMed...
  60. Oka R, Yagi K, Sakurai M, Nakamura K, Moriuchi T, Miyamoto S, Nohara A, Kawashiri MA, Takeda Y, Yamagishi M. Insulin secretion and insulin sensitivity on the oral glucose tolerance test (OGTT) in middle-aged Japanese. Endocr J 2012;59(1):55-64. doi: 10.1507/endocrj.EJ11-0157 Go to original source... Go to PubMed...
  61. Würtz P, Makinen VP, Soininen P, Kangas AJ, Tukiainen T, Kettunen J, Savolainen MJ, Tammelin T, Viikari JS, Rönnemaa T, Kähönen M, Lehtimäki T, Ripatti S, Raitakari OT, Järvelin MR, Ala-Korpela M.Metabolic signatures of insulin resistance in 7,098 young adults. Diabetes 2012;61(6):1372-80. doi: 10.2337/db11-1355 Go to original source... Go to PubMed...
  62. Yamada C, Moriyama K, Takahashi E. Optimal cut-off point for homeostasis model assessment of insulin resistance to discriminate metabolic syndrome in non-diabetic Japanese subjects. J Diabetes Investig 2012;3(4):384-7. doi: 10.1111/j.2040-1124.2012.00194.x Go to original source... Go to PubMed...
  63. Stankiewicz-Olczyk J, Bolanowski M, Milewicz A, Jawiarczyk-Przybyłowska A. Częstość występowania zespołu metabolicznego u czynnych zawodowo mężczyzn. Endokrynologia, Otyłość i Zaburzenia Przemiany Materii 2012;8(2):59-64.
  64. Kozakowski J, Zgliczynski W. Body composition, glucose metabolism markers and serum androgens - association in women with polycystic ovary syndrome. Endokrynol Pol 2013;64(2):94-100. Go to PubMed...
  65. Gayoso-Diz P, Otero-Gonzalez A, Rodriguez-Alvarez MX, Gude F, Garcia F, De Francisco A, Quintela AG.Insulin resistance (HOMA-IR) cut-off values and the metabolic syndrome in a general adult population: effect of gender and age: EPIRCE cross-sectional study. BMC Endocr Disord 2013;13:47. doi: 10.1186/1472-6823-13-47 Go to original source... Go to PubMed...
  66. Timoteo AT, Miranda F, Carmo MM, Ferreira RC. Optimal cut-off value for homeostasis model assessment (HOMA) index of insulin-resistance in a population of patients admitted electively in a Portuguese cardiology ward. Acta Med Port 2014;27(4):473-9. Go to original source... Go to PubMed...
  67. Skoczeń M, Radwański K, Chrzanowska J, Zubkiewicz-Kucharska A, Seifert M, Noczyńska A. Carbohydrate and lipid metabolism disorders in children with simple obesity according to age and degree of obesity. Pediatric Endocrinology 2014;13(4(49)):27-36. doi: 10.18544/EP-01.13.04.1500 Go to original source...
  68. Bednarek-Tupikowska G, Zdrojowy-Welna A, Stachowska B, Kuliczkowska-Płaksej J, Matczak-Giemza M, Kubicka E, Tworowska-Bardzińska U, Milewicz A, Bolanowski M.Accumulation of abdominal fat in relation to selected proinflammatory cytokines concentrations in non-obese Wroclaw inhabitants. Endokrynol Pol 2014;65(6):449-55. doi: 10.5603/EP.2014.0062 Go to original source... Go to PubMed...
  69. Oh TJ, Min SH, Ahn CH, Kim EK, Kwak SH, Jung HS, Park KS, Cho YM.Normal Glucose Tolerance with a High 1-Hour Postload Plasma Glucose Level Exhibits Decreased β-Cell Function Similar to Impaired Glucose Tolerance. Diabetes Metab J 2015;39(2):147-53. doi: 10.4093/dmj.2015.39.2.147 Go to original source... Go to PubMed...
  70. González-Zavala MA, Velasco-Morales A, Terrazas-Flores JJ, de la Cruz-Galicia MG, Cepeda-Nieto AC, Hernández-del Río A. Levels of insulin and HOMA-IR in adolescents in Saltillo, Coahuila, Mexico. Medicina Universitaria 2015;17(67):80-7. doi: 10.1016/j.rmu.2015.02.004 Go to original source...
  71. Kwon SS, Lee SG, Lee YH, Lim JB, Kim JH. Homeostasis model assessment of insulin resistance in a general adult population in Korea: additive association of sarcopenia and obesity with insulin resistance. Clin Endocrinol (Oxf) 2017;86(1):44-51. doi: 10.1111/cen.13233 Go to original source... Go to PubMed...
  72. Płaczkowska S, Pawlik-Sobecka L, Kokot I, Piwowar A. Estimation of reference intervals of insulin resistance (HOMA), insulin sensitivity (Matsuda) and insulin secretion sensitivity indices (ISSI-2) in Polish young people. Ann Agric Environ Med 2019; XX:XX-XX (in press). Go to original source... Go to PubMed...
  73. Ormazabal V, Nair S, Elfeky O, Aguayo C, Salomon C, Zuniga FA. Association between insulin resistance and the development of cardiovascular disease. Cardiovasc Diabetol 2018;17(1):122. doi: 10.1186/s12933-018-0762-4 Go to original source... Go to PubMed...
  74. Reaven GM. Banting lecture 1988. Role of insulin resistance in human disease. Diabetes 1988;37(12):1595-607 doi: 10.2337/diab.37.12.1595 Go to original source... Go to PubMed...
  75. Reaven GM. The role of insulin resistance and hyperinsulinemia in coronary heart disease. Metabolism 1992;41(5 Suppl 1):16-9. doi: 10.1016/0026-0495(92)90088-R Go to original source... Go to PubMed...
  76. de Boer IH, Mehrotra R. Insulin resistance in chronic kidney disease: a step closer to effective evaluation and treatment. Kidney Int 2014;86(2):243-5. doi: 10.1038/ki.2014.123 Go to original source... Go to PubMed...
  77. Liu T, Li C, Shen L, Shen Y, Mao W, Li S. Heterogeneity in effects of genetically determined adiposity on insulin resistance and type 2 diabetes: The atherosclerosis risk in communities study. J Diabetes Complications 2018;32(3):330-4. doi: 10.1016/j.jdiacomp.2017.12.012 Go to original source... Go to PubMed...
  78. Vikram NK, Misra A, Pandey RM, Lithra K, Wasir JS, Dhingra V. Heterogeneous phenotypes of insulin resistance and its implicationsfor defining metabolic syndrome in Asian Indian adolescents. Atherosclerosis 2006;186:193-9. doi: 10.1016/j.atherosclerosis.2005.07.015 Go to original source... Go to PubMed...
  79. Song Y, Manson JE, Tinker L, Howard BV, Kuller LH, Nathan L, Rifai N, Liu S.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(7):1747-52. doi: 10.2337/dc07-0358 Go to original source... Go to PubMed...
  80. Sung KC, Reaven GM, Kim SH. Utility of homeostasis model assessment of beta-cell function in predicting diabetes in 12,924 healthy Koreans. Diabetes Care 2010;33(1):200-2. doi: 10.2337/dc09-1070 Go to original source... Go to PubMed...

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