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논문 기본 정보

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학술저널
저자정보
Chiranjeevi Kumar Endukuru (Department of Physiology Jawaharlal Institute of Postgraduate Medical Education and Research India) Girwar Singh Gaur (Department of Physiology Jawaharlal Institute of Postgraduate Medical Education and Research India) Dhanalakshmi Yerrabelli (Department of Physiology Jawaharlal Institute of Postgraduate Medical Education and Research India) Jayaprakash Sahoo (Department of Endocrinology Jawaharlal Institute of Postgraduate Medical Education and Research) Balasubramaniyan Vairappan (Jawaharlal Institute of Postgraduate Medical Education and Research)
저널정보
대한비만학회 Journal of Obesity & Metabolic Syndrome Journal of Obesity & Metabolic Syndrome Vol.29 No.4
발행연도
2020.1
수록면
281 - 291 (11page)

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Background: Insulin resistance (IR) is a collective clinical entity that exacerbates metabolic syndrome (MetS). As the gold-standard test to quantify IR involves intravenous insulin loading and repeated blood glucose monitoring, many indices have been developed for IR assessment for convenience. This study tested the ideal cut-off values and clinical utility of IR indices in identifying MetS. Methods: We recruited 150 subjects, 75 MetS patients and 75 healthy controls, then obtained written informed consent to participate in this study. We collected fasting blood samples for glucose and lipid profiles and calculated nineteen indices of IR and insulin secretion using validated formulae. We determined the precision of these IR indices using the area under the curve (AUC) in a receiver operating characteristic analysis. Results: Subjects with MetS have significantly higher IR coupled with lower insulin sensitivity and beta-cell function than controls. Among the surrogate markers of IR tested, the homeostatic model assessment of insulin resistance (HOMA-IR), HOMA-adiponectin (HOMA-AD), triglyceride-glucose (TyG) index, HOMA-1%S (insulin sensitivity), quantitative insulin sensitivity check index (QUICKI), McAuley index, single-point insulin sensitivity estimator (SPISE), and HOMA-2%B (beta-cell function) showed the highest AUC values for detecting MetS. Conclusion: Our study results suggest that the ideal cut-off and AUC values identified for HOMA-IR, HOMA-AD, the TyG index, HOMA-1%S, QUICKI, the McAuley index, SPISE, and HOMA-2%B offer a clinical approach to the early detection and risk stratification for MetS among people in southern India.
#Beta-cell function #Homeostatic model assessment of insulin resistance #Insulin sensitivity #Homeostatic model assessment-adiponectin #McAuley index #Single-point insulin sensitivity estimator

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참고문헌 (40)

참고문헌 신청
Arnett DK / 2019 / 2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease : a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines / Circulation 140:e596~e646 google schola Ford ES / 2005 / Risks for all-cause mortality, cardiovascular disease, and diabetes associated with the metabolic syndrome: a summary of the evidence / Diabetes Care 28:1769~1778 google schola Alberti KG / 2009 / 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 120:1640~1645 google schola Grundy SM / 2005 / Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement / Circulation 112:2735~2752 google schola Saklayen MG / 2018 / The global epidemic of the metabolic syndrome / Curr Hypertens Rep 20:12 google schola

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