Comparison of insulin resistance scoring system with indirect methods of estimating insulin resistance in Indian type 2 diabetes subjects

  • Dr. R. Anil Kumar Associate Professor, Karnataka Institute of Endocrinology and Research, Bangalore, India
Keywords: Insulin resistance, HOMA1, QUICKI, Fasting insulin

Abstract

Background: Identification of insulin resistance is very important in management of type 2 diabetes. The euglycemic insulin clamp method, intravenous glucose tolerance tests (IVGTT) and minimal model approximation of glucose (MMAMG) are standard methods of measurement of insulin resistance in research. However, they are impractical in clinical practice and are difficult to perform in population-based research studies. So, a simple scoring system was designed to estimate the insulin resistance.

Methods: 200 type 2 diabetes individuals who attended Karnataka Institute of endocrinology and research outpatient department. Fasting plasma glucose, post prandial plasma glucose, fasting insulin, lipid profile, BMI, waist circumference and BP of these subjects were checked.

Results: Out of 200 type 2 diabetes subjects 69.5% were males and age group ranging from 26 to 85 years. Duration of diabetes range from 0 to 20 years and 53% of patients had hypertension and 46.5% have hypertriglyceridemia. Insulin resistance calculated by KIER scoring system, HOMA-1, QUICKI, HOMA2 and Fasting Insulin was present in 82%, 63%, 63.5%, 33.5% and 37.5% 0f individuals respectively. KIER scoring system had a statistically significant correlation with HOMA and QUICKY indices. (P value < 0.001)

Conclusions: (1) KIER scoring system detects insulin resistance in 82% of type 2 diabetes individuals. (2) HOMA 1 and QUICKI are identical and similarly HOMA 2 and fasting insulin levels are almost identical in estimation of insulin resistance. (3) The KIER scoring system designed is very simple and economical. It takes into consideration the different factors which contribute to insulin resistance.

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References

Kronenberg H. Williams textbook of endocrinology. Elsevier Health Sciences; 2007 Nov 30.

Ascaso JF, Pardo S, Real JT, Lorente RI, Priego A, Carmena R. Diagnosing insulin resistance by simple quantitative methods in subjects with normal glucose metabolism. Diabetes Care. 2003;26(12):3320-3325. DOi: https://doi.org/10.2337/diacare.26.12.3320

Matsuda M. Measuring and estimating insulin resistance in clinical and research settings. Nutr Metab Cardiovasc Dis. 2010; 20(2): 79-86. doi: https://doi.org/10.1016/j.numecd.2009.07.007.

Ferrannini E, Mari A. How to measure insulin sensitivity. J Hypertens. 1998; 16(7):895-906. doi: https://doi.org/10.1097/00004872-199816070-00001

Bergman RN, Finegood DT, Ader M. Assessment of insulin sensitivity in vivo. Endocr Rev. 1985 Winter;6 (1):45-86. doi: https://doi.org/10.1210/edrv-6-1-45

Geloneze B, Vasques AC, Stabe CF, Pareja JC, Rosado LE, Queiroz EC, et al. 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):281-287. doi: http://dx.doi.org/10.1590/S0004-27302009000200020

Menik L, Palangasinghe S. Comparison of insulin resistance by indirect methods-HOMA, QUICKI and McAuley-with fasting insulin in patients with type 2 diabetes in Galle, Sri Lanka: A pilot study. Online Journal of Health and Allied Sciences. 2006;5(1)1-8.

Yokoyama H, Emoto M, Fujiwara S, Motoyama K, Morioka T, Komatsu M, et al. Quantitative insulin sensitivity check index and the reciprocal index of homeostasis model assessment in normal range weight and moderately obese type 2 diabetic patients. Diabetes Care. 2003;26(8):2426-2432. doi: https://doi.org/10.2337/diacare.26.8.2426

McAuley KA, Williams SM, Mann JI, Walker RJ, Lewis- Barned NJ, Temple LA, et al. Diagnosing insulin resistance in the general population. Diabetes Care.2001;24(3):460-464.doi: https://doi.org/10.2337/diacare.24.3.460

HOMA calculator release 12 December 2007 diabetes trials unit the oxford centre for diabetes. Endocrinology and metabolism.

Mykkänen L, Haffner SM, Rönnemaa T, Bergman RN, Laakso M. Low insulin sensitivity is associated with clustering of cardiovascular disease risk factors. Am J Epidemiol. 1997;146(4):315-321. doi: https://doi.org/10.1093/oxfordjournals.aje.a009272

Lima NK, Abbasi F, Lamendola C, Reaven GM. Prevalence of insulin resistance and related risk factors for cardiovascular disease in patients with essential hypertension. American journal of hypertension. 2009; 22 (1):106-111. doi: https://doi.org/10.1038/ajh.2008.263.

Motamed N, Miresmail SJ, Rabiee B, Keyvani H, Farahani B, Maadi M, et al. Optimal cutoff points for HOMA-IR and QUICKI in the diagnosis of metabolic syndrome and non-alcoholic fatty liver disease: A population-based study.J Diabetes Complications. 2016; 30 (2): 269-274. doi: https://doi.org/10.1016/j.jdiacomp.2015.11.019.

Chen H, Sullivan G, Quon MJ. Assessing the predictive accuracy of QUICKI as a surrogate index for insulin sensitivity using a calibration model. Diabetes. 2005;54(7):1914-1925. doi: https://doi.org/10.2337/diabetes.54.7.1914.

Singh B, Saxena A. Surrogate markers of insulin resistance: A review. World J Diabetes. 2010;1(2): 36-47. doi: https://doi.org/10.4239/wjd.v1.i2.36.

Mastsude M., Defronzo, RA. In vivo measurement of insulin sensitivity in humans clinical research in diabetes and Obesity. 1997;1:23-65.

Emoto M, Nishizawa Y, Maekawa K, Hiura Y, Kanda H, Kawagishi T, et al. Homeostasis model assessment as a clinical index of insulin resistance in type 2 diabetic patients treated with sulfonylureas. DiabetesCare. 1999;22(5):818-822.doi: https://doi.org/10.2337/diacare.22.5.818

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):412-419. doi: https://doi.org/10.1007/BF00280883

Radziuk J. Insulin sensitivity and its measurement: structural commonalities among the methods. J Clin Endocrinol Metab. 2000;85(12):4426-4433. doi: https://doi.org/10.1210/jcem.85.12.7025

Katz A, Nambi SS, Mather K, Baron AD, Follmann DA, Sullivan G, et al. Quantitative insulin sensitivity check index: a simple, accurate method for assessing insulin sensitivity in humans. J Clin Endocrinol Metab. 2000;85(7):2402-2410. doi: https://doi.org/10.1210/jcem.85.7.6661

Hettihewa LM, Palangasingle S, Jayasinghe SS. Comparison of insulin resistance by indirect methods-HOMA, QUICKI And McAuley-with fasting insulin in patientswith type2 diabets in Galle, Serilanka: a pilot study. OJHAS2006.;5(1).

Cerf ME. Beta cell dysfunction and insulin resistance. Front Endocrinol (Lausanne). 2013;4:37. https://doi.org/10.3389/fendo.2013.00037. eCollection 2013.

CITATION
DOI: 10.17511/ijmrr.2019.i05.04
Published: 2019-10-31
How to Cite
1.
Kumar RA. Comparison of insulin resistance scoring system with indirect methods of estimating insulin resistance in Indian type 2 diabetes subjects. Int J Med Res Rev [Internet]. 2019Oct.31 [cited 2024Apr.26];7(5):361-9. Available from: https://ijmrr.medresearch.in/index.php/ijmrr/article/view/1081
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