Hemoglobin glycation index can be used as a predictor of diabetes mellitus and prediabetes: a cohort study | BMC Endocrine Disorders
Saeedi P, Petersohn I, Salpea P, Malanda B, Karuranga S, Unwin N, et al. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: results from the international diabetes federation diabetes atlas, 9(th) edition. Diabetes Res Clin Pract. 2019;157:107843.
Google Scholar
Gregg EW, Cheng YJ, Srinivasan M, Lin J, Geiss LS, Albright AL, et al. Trends in cause-specific mortality among adults with and without diagnosed diabetes in the USA: an epidemiological analysis of linked national survey and vital statistics data. Lancet. 2018;391(10138):2430–40.
Google Scholar
Bommer C, Heesemann E, Sagalova V, Manne-Goehler J, Atun R, Bärnighausen T, et al. The global economic burden of diabetes in adults aged 20–79 years: a cost-of-illness study. Lancet Diabetes Endocrinol. 2017;5(6):423–30.
Google Scholar
Edgerton DS, Kraft G, Smith M, Farmer B, Williams PE, Coate KC, et al. Insulin’s direct hepatic effect explains the inhibition of glucose production caused by insulin secretion. JCI Insight. 2017;2(6):e91863.
Google Scholar
Khan RMM, Chua ZJY, Tan JC, Yang Y, Liao Z, Zhao Y. From pre-diabetes to diabetes: Diagnosis, treatments and translational research. Medicina (B Aires). 2019;55(9):546.
Google Scholar
Umpierrez G, Korytkowski M. Diabetic emergencies – ketoacidosis, hyperglycaemic hyperosmolar state and hypoglycaemia. Nat Rev Endocrinol. 2016;12(4):222–32.
Google Scholar
Pantalone KM, Hobbs TM, Wells BJ, Kong SX, Kattan MW, Bouchard J, et al. Clinical characteristics, complications, comorbidities and treatment patterns among patients with type 2 diabetes mellitus in a large integrated health system. BMJ Open Diabetes Res Care. 2015;3(1):e000093.
Google Scholar
Sun H, Saeedi P, Karuranga S, Pinkepank M, Ogurtsova K, Duncan BB, et al. IDF diabetes atlas: global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045. Diabetes Res Clin Pract. 2022;183:109119.
Google Scholar
Gong Q, Zhang P, Wang J, Ma J, An Y, Chen Y, et al. Morbidity and mortality after lifestyle intervention for people with impaired glucose tolerance: 30-year results of the Da Qing diabetes prevention outcome study. Lancet Diabetes Endocrinol. 2019;7(6):452–61.
Google Scholar
Guasch-Ferré M, Hruby A, Toledo E, Clish CB, Martínez-González MA, Salas-Salvadó J, et al. Metabolomics in prediabetes and diabetes: a systematic review and meta-analysis. Diabetes Care. 2016;39(5):833–46.
Google Scholar
Xu F, Tavintharan S, Sum CF, Woon K, Lim SC, Ong CN. Metabolic signature shift in type 2 diabetes mellitus revealed by mass spectrometry-based metabolomics. J Clin Endocrinol Metab. 2013;98(6):E1060-1065.
Google Scholar
Menni C, Fauman E, Erte I, Perry JR, Kastenmüller G, Shin SY, et al. Biomarkers for type 2 diabetes and impaired fasting glucose using a nontargeted metabolomics approach. Diabetes. 2013;62(12):4270–6.
Google Scholar
Suhre K, Meisinger C, Döring A, Altmaier E, Belcredi P, Gieger C, et al. Metabolic footprint of diabetes: a multiplatform metabolomics study in an epidemiological setting. PLoS ONE. 2010;5(11):e13953.
Google Scholar
Meyer NMT, Kabisch S, Dambeck U, Honsek C, Kemper M, Gerbracht C, et al. Low IGF1 and high IGFBP1 predict diabetes onset in prediabetic patients. Eur J Endocrinol. 2022;187(4):555–65.
Google Scholar
Hempe JM, Liu S, Myers L, McCarter RJ, Buse JB, Fonseca V. The hemoglobin glycation index identifies subpopulations with harms or benefits from intensive treatment in the ACCORD trial. Diabetes Care. 2015;38(6):1067–74.
Google Scholar
Hempe JM, Gomez R, McCarter RJ Jr., Chalew SA. High and low hemoglobin glycation phenotypes in type 1 diabetes: a challenge for interpretation of glycemic control. J Diabetes Complications. 2002;16(5):313–20.
Google Scholar
Cheng W, Huang R, Pu Y, Li T, Bao X, Chen J, et al. Association between the haemoglobin glycation index (HGI) and clinical outcomes in patients with acute decompensated heart failure. Ann Med. 2024;56(1):2330615.
Google Scholar
Wei X, Chen X, Zhang Z, Wei J, Hu B, Long N, et al. Risk analysis of the association between different hemoglobin glycation index and poor prognosis in critical patients with coronary heart disease-a study based on the MIMIC-IV database. Cardiovasc Diabetol. 2024;23(1):113.
Google Scholar
Cheng PC, Hsu SR, Cheng YC, Liu YH. Relationship between hemoglobin glycation index and extent of coronary heart disease in individuals with type 2 diabetes mellitus: a cross-sectional study. PeerJ. 2017;5:e3875.
Google Scholar
Yang J, Shangguan Q, Xie G, Yang M, Sheng G. Sex-specific associations between haemoglobin glycation index and the risk of cardiovascular and all-cause mortality in individuals with pre-diabetes and diabetes: a large prospective cohort study. Diabetes Obes Metab. 2024;26(6):2275–83.
Google Scholar
Xin S, Zhao X, Ding J, Zhang X. Association between hemoglobin glycation index and diabetic kidney disease in type 2 diabetes mellitus in China: a cross- sectional inpatient study. Front Endocrinol (Lausanne). 2023;14:1108061.
Google Scholar
Liu S, Hempe JM, McCarter RJ, Li S, Fonseca VA. Association between inflammation and biological variation in hemoglobin A1c in U.S. nondiabetic adults. J Clin Endocrinol Metab. 2015;100(6):2364–71.
Google Scholar
Felipe DL, Hempe JM, Liu S, Matter N, Maynard J, Linares C, et al. Skin intrinsic fluorescence is associated with hemoglobin A(1c)and hemoglobin glycation index but not mean blood glucose in children with type 1 diabetes. Diabetes Care. 2011;34(8):1816–20.
Google Scholar
Marini MA, Fiorentino TV, Succurro E, Pedace E, Andreozzi F, Sciacqua A, et al. Association between hemoglobin glycation index with insulin resistance and carotid atherosclerosis in non-diabetic individuals. PLoS ONE. 2017;12(4):e0175547.
Google Scholar
Lin L, Wang A, He Y, Wang W, Gao Z, Tang X, Yan L, Wan Q, Luo Z, Qin G, et al. Effects of the hemoglobin glycation index on hyperglycemia diagnosis: results from the REACTION study. Diabetes Res Clin Pract. 2021;180:109039.
Google Scholar
Fiorentino TV, Marini MA, Succurro E, Andreozzi F, Sciacqua A, Hribal ML, et al. Association between hemoglobin glycation index and hepatic steatosis in non-diabetic individuals. Diabetes Res Clin Pract. 2017;134:53–61.
Google Scholar
Zhao Y, Hu Y, Smith JP, Strauss J, Yang G. Cohort profile: the China health and retirement longitudinal study (CHARLS). Int J Epidemiol. 2014;43(1):61–8.
Google Scholar
Chen X, Crimmins E, Hu PP, Kim JK, Meng Q, Strauss J, Wang Y, Zeng J, Zhang Y, Zhao Y. Venous Blood-Based biomarkers in the China health and retirement longitudinal study: Rationale, Design, and results from the 2015 wave. Am J Epidemiol. 2019;188(11):1871–7.
Google Scholar
Cosentino F, Grant PJ, Aboyans V, Bailey CJ, Ceriello A, Delgado V, Federici M, Filippatos G, Grobbee DE, Hansen TB, et al. 2019 ESC guidelines on diabetes, pre-diabetes, and cardiovascular diseases developed in collaboration with the EASD. Eur Heart J. 2020;41(2):255–323.
Google Scholar
Soros AA, Chalew SA, McCarter RJ, Shepard R, Hempe JM. Hemoglobin glycation index: a robust measure of hemoglobin A1c bias in pediatric type 1 diabetes patients. Pediatr Diabetes. 2010;11(7):455–61.
Google Scholar
McCarter RJ, Hempe JM, Gomez R, Chalew SA. Biological variation in HbA1c predicts risk of retinopathy and nephropathy in type 1 diabetes. Diabetes Care. 2004;27(6):1259–64.
Google Scholar
van Steen SC, Woodward M, Chalmers J, Li Q, Marre M, Cooper ME, et al. Haemoglobin glycation index and risk for diabetes-related complications in the action in diabetes and vascular disease: preterax and diamicron modified release controlled evaluation (ADVANCE) trial. Diabetologia. 2018;61(4):780–9.
Google Scholar
Kim MK, Jeong JS, Yun JS, Kwon HS, Baek KH, Song KH, et al. Hemoglobin glycation index predicts cardiovascular disease in people with type 2 diabetes mellitus: a 10-year longitudinal cohort study. J Diabetes Complications. 2018;32(10):906–10.
Google Scholar
Wu JD, Liang DL, Xie Y, Chen MY, Chen HH, Sun D, et al. Association between hemoglobin glycation index and risk of cardiovascular disease and all cause mortality in type 2 diabetic patients: a meta-analysis. Front Cardiovasc Med. 2021;8:690689.
Google Scholar
Lin L, Wang A, Jia X, Wang H, He Y, Mu Y, et al. High hemoglobin glycation index is associated with increased risk of diabetes: a population-based cohort study in China. Front Endocrinol (Lausanne). 2023;14:1081520.
Google Scholar
Wilkinson DJ, Piasecki M, Atherton PJ. The age-related loss of skeletal muscle mass and function: measurement and physiology of muscle fibre atrophy and muscle fibre loss in humans. Ageing Res Rev. 2018;47:123–32.
Google Scholar
Huffman DM, Barzilai N. Role of visceral adipose tissue in aging. Biochim Biophys Acta. 2009;1790(10):1117–23.
Google Scholar
Kim HJ. Insulin sensitivity and muscle loss in the absence of diabetes mellitus: findings from a longitudinal Community-Based cohort study. J Clin Med. 2025;14(4):1270.
Zhao Y, Yue R. Aging adipose tissue, insulin resistance, and type 2 diabetes. Biogerontology. 2024;25(1):53–69.
Google Scholar
Petersen KF, Befroy D, Dufour S, Dziura J, Ariyan C, Rothman DL, et al. Mitochondrial dysfunction in the elderly: possible role in insulin resistance. Science. 2003;300(5622):1140–2.
Google Scholar
Hebert SL, Marquet-de Rougé P, Lanza IR, McCrady-Spitzer SK, Levine JA, Middha S, Carter RE, Klaus KA, Therneau TM, Highsmith EW, et al. Mitochondrial aging and physical decline: insights from three generations of women. J Gerontol Biol Sci Med Sci. 2015;70(11):1409–17.
Google Scholar
Scaglia L, Cahill CJ, Finegood DT, Bonner-Weir S. Apoptosis participates in the remodeling of the endocrine pancreas in the neonatal rat. Endocrinology. 1997;138(4):1736–41.
Google Scholar
Gregg BE, Moore PC, Demozay D, Hall BA, Li M, Husain A, et al. Formation of a human β-cell population within pancreatic islets is set early in life. J Clin Endocrinol Metab. 2012;97(9):3197–206.
Google Scholar
Tong X, Dai C, Walker JT, Nair GG, Kennedy A, Carr RM, et al. Lipid droplet accumulation in human pancreatic islets is dependent on both donor age and health. Diabetes. 2020;69(3):342–54.
Google Scholar
Shrestha S, Erikson G, Lyon J, Spigelman AF, Bautista A, Manning Fox JE, Dos Santos C, Shokhirev M, Cartailler JP, Hetzer MW, et al. Aging compromises human islet beta cell function and identity by decreasing transcription factor activity and inducing ER stress. Sci Adv. 2022;8(40):eabo3932.
Google Scholar
Michaud M, Balardy L, Moulis G, Gaudin C, Peyrot C, Vellas B, et al. Proinflammatory cytokines, aging, and age-related diseases. J Am Med Dir Assoc. 2013;14(12):877–82.
Google Scholar
Singh T, Newman AB. Inflammatory markers in population studies of aging. Ageing Res Rev. 2011;10(3):319–29.
Google Scholar
Rizzo MR, Barbieri M, Marfella R, Paolisso G. Reduction of oxidative stress and inflammation by blunting daily acute glucose fluctuations in patients with type 2 diabetes: role of dipeptidyl peptidase-IV inhibition. Diabetes Care. 2012;35(10):2076–82.
Google Scholar
Monnier L, Mas E, Ginet C, Michel F, Villon L, Cristol JP, et al. Activation of oxidative stress by acute glucose fluctuations compared with sustained chronic hyperglycemia in patients with type 2 diabetes. JAMA. 2006;295(14):1681–7.
Google Scholar
Pezhman L, Tahrani A, Chimen M. Dysregulation of leukocyte trafficking in type 2 diabetes: mechanisms and potential therapeutic avenues. Front Cell Dev Biol. 2021;9:624184.
Google Scholar
Makita Z, Vlassara H, Rayfield E, Cartwright K, Friedman E, Rodby R, Cerami A, Bucala R. Hemoglobin-AGE: a Circulating marker of advanced glycosylation. Science. 1992;258(5082):651–3.
Google Scholar
Friedman EA. Advanced glycosylated end products and hyperglycemia in the pathogenesis of diabetic complications. Diabetes Care. 1999;22(Suppl 2):B65–71.
Google Scholar
Kim MK, Jung HS, Yoon CS, Ko JH, Jun HJ, Kim TK, et al. The effect of glucose fluctuation on apoptosis and function of INS-1 pancreatic beta cells. Korean Diabetes J. 2010;34(1):47–54.
Google Scholar
Pani LN, Korenda L, Meigs JB, Driver C, Chamany S, Fox CS, et al. Effect of aging on A1C levels in individuals without diabetes: evidence from the Framingham offspring study and the National health and nutrition examination survey 2001–2004. Diabetes Care. 2008;31(10):1991–6.
Google Scholar
Karakelides H, Irving BA, Short KR, O’Brien P, Nair KS. Age, obesity, and sex effects on insulin sensitivity and skeletal muscle mitochondrial function. Diabetes. 2010;59(1):89–97.
Google Scholar
Pemberton JS, Fang Z, Chalew SA, Uday S. Ethnic disparities in HbA1c and hypoglycemia among youth with type 1 diabetes: beyond access to technology, social deprivation and mean blood glucose. BMJ Open Diabetes Res Care. 2025;13(1):e004369.
McLean A, Wright F, deJong N, Skinner S, Loughlin CE, Levenson A, Carden MA. Hemoglobin A(1c) and Fructosamine correlate in a patient with sickle cell disease and diabetes on chronic transfusion therapy. Pediatr Blood Cancer. 2020;67(9):e28499.
Google Scholar
Xu A, Ji L, Chen W, Xia Y, Zhou Y. Effects of α-thalassemia on HbA(1c) measurement. J Clin Lab Anal. 2016;30(6):1078–80.
Google Scholar
Sehrawat T, Jindal A, Kohli P, Thour A, Kaur J, Sachdev A, et al. Utility and limitations of glycated hemoglobin (HbA1c) in patients with liver cirrhosis as compared with oral glucose tolerance test for diagnosis of diabetes. Diabetes Ther. 2018;9(1):243–51.
Google Scholar
Nadelson J, Satapathy SK, Nair S. Glycated hemoglobin levels in patients with decompensated cirrhosis. Int J Endocrinol. 2016;2016:8390210.
Google Scholar
Sharma A, Vella A. Glucose metabolism in Cushing’s syndrome. Curr Opin Endocrinol Diabetes Obes. 2020;27(3):140–5.
Google Scholar
Holt RIG, Cockram CS, Ma RCW, Luk AOY. Diabetes and infection: review of the epidemiology, mechanisms and principles of treatment. Diabetologia. 2024;67(7):1168–80.
Google Scholar
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