Utility of Non-High-Density Lipoprotein Cholesterol to High-Density Lipoprotein Cholesterol Ratio in Evaluating Incident Diabetes Risk

References

• Chan JC, Malik V, Jia W, et al. Diabetes in Asia: epidemiology, risk factors, and pathophysiology. JAMA. 2009;301(20):2129–2140. doi:10.1001/jama.2009.726
   PubMed Web of Science ®Google Scholar
• Skyler JS, Bakris GL, Bonifacio E, et al. Differentiation of diabetes by pathophysiology, natural history, and prognosis. Diabetes. 2017;66(2):241–255. doi:10.2337/db16-0806
   PubMed Web of Science ®Google Scholar
• Saeedi P, Petersohn I, Salpea P, et al. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: results from the international diabetes federation diabetes Atlas, 9th edition. Diabetes Res Clin Pract. 2019;157:107843. doi:10.1016/j.diabres.2019.107843
   PubMed Web of Science ®Google Scholar
• International Diabetes Federation. IDF Diabetes Atlas. 8th ed. Brussels, Belgium: International Diabetes Federation; 2017.
   Google Scholar
• Strain WD, Paldánius PM. Diabetes, cardiovascular disease and the microcirculation. Cardiovasc Diabetol. 2018;17:57. doi:10.1186/s12933-018-0703-2
   PubMed Web of Science ®Google Scholar
• Suh S, Kim KW. Diabetes and cancer: cancer should be screened in routine diabetes assessment. Diabetes Metab J. 2019;43(6):733–743. doi:10.4093/dmj.2019.0177
   PubMed Web of Science ®Google Scholar
• GBD 2017 Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the global burden of disease study 2017. Lancet. 2018;392(10159):1789–1858. doi:10.1016/S0140-6736(18)32279-7
   PubMed Web of Science ®Google Scholar
• Lin X, Xu Y, Pan X, et al. Global, regional, and national burden and trend of diabetes in 195 countries and territories: an analysis from 1990 to 2025. Sci Rep. 2020;10(1):14790. doi:10.1038/s41598-020-71908-9
   PubMed Web of Science ®Google Scholar
• Taskinen MR. Diabetic dyslipidaemia: from basic research to clinical practice. Diabetologia. 2003;46(6):733–749. doi:10.1007/s00125-003-1111-y
   PubMed Web of Science ®Google Scholar
• Ley SH, Harris SB, Connelly PW, et al. Utility of non-high-density lipoprotein cholesterol in assessing incident type 2 diabetes risk. Diabetes Obes Metab. 2012;14(9):821–825. doi:10.1111/j.1463-1326.2012.01607.x
   Web of Science ®Google Scholar
• Wu L, Parhofer KG. Diabetic dyslipidemia. Metabolism. 2014;63(12):1469–1479. doi:10.1016/j.metabol.2014.08.010
   PubMed Web of Science ®Google Scholar
• Xie G, Zhong Y, Yang S, Zou Y. Remnant cholesterol is an independent predictor of new-onset diabetes: a single-center cohort study. Diabetes Metab Syndr Obes. 2021;14:4735–4745. doi:10.2147/DMSO.S341285
   Web of Science ®Google Scholar
• Zhu L, Lu Z, Zhu L, et al. Lipoprotein ratios are better than conventional lipid parameters in predicting coronary heart disease in Chinese Han people. Kardiol Pol. 2015;73(10):931–938. doi:10.5603/KP.a2015.0086
   PubMed Web of Science ®Google Scholar
• Yang WS, Li R, Shen YQ, et al. Importance of lipid ratios for predicting intracranial atherosclerotic stenosis. Lipids Health Dis. 2020;19(1):160. doi:10.1186/s12944-020-01336-1
   Web of Science ®Google Scholar
• Wen J, Zhong Y, Kuang C, Liao J, Chen Z, Yang Q. Lipoprotein ratios are better than conventional lipid parameters in predicting arterial stiffness in young men. J Clin Hypertens. 2017;19(8):771–776. doi:10.1111/jch.13038
   PubMed Web of Science ®Google Scholar
• Wang D, Wang L, Wang Z, Chen S, Ni Y, Jiang D. Higher non-HDL-cholesterol to HDL-cholesterol ratio linked with increased nonalcoholic steatohepatitis. Lipids Health Dis. 2018;17(1):67. doi:10.1186/s12944-018-0720-x
   Web of Science ®Google Scholar
• Zuo PY, Chen XL, Liu YW, Zhang R, He XX, Liu CY. Non-HDL-cholesterol to HDL-cholesterol ratio as an independent risk factor for the development of chronic kidney disease. Nutr Metab Cardiovasc Dis. 2015;25(6):582–587. doi:10.1016/j.numecd.2015.03.003
   PubMed Web of Science ®Google Scholar
• Kim SW, Jee JH, Kim HJ, et al. Non-HDL-cholesterol/HDL-cholesterol is a better predictor of metabolic syndrome and insulin resistance than apolipoprotein B/apolipoprotein A1. Int J Cardiol. 2013;168(3):2678–2683. doi:10.1016/j.ijcard.2013.03.027
   PubMed Web of Science ®Google Scholar
• Okamura T, Hashimoto Y, Hamaguchi M, Obora A, Kojima T, Fukui M. Data from: Ectopic fat obesity presents the greatest risk for incident type 2 diabetes: a population-based longitudinal study, Dryad, Dataset. Int J Obes. 2019;43(1):139–148. 10.5061/dryad.8q0p192
   Web of Science ®Google Scholar
• Hashimoto Y, Hamaguchi M, Kojima T, et al. Modest alcohol consumption reduces the incidence of fatty liver in men: a population-based large-scale cohort study. J Gastroenterol Hepatol. 2015;30(3):546–552. doi:10.1111/jgh.12786
   PubMed Web of Science ®Google Scholar
• Hamaguchi M, Kojima T, Itoh Y, et al. The severity of ultrasonographic findings in nonalcoholic fatty liver disease reflects the metabolic syndrome and visceral fat accumulation. Am J Gastroenterol Am J Gastroenterol. 2007;102(12):2708–2715. doi:10.1111/j.1572-0241.2007.01526.x
   PubMed Web of Science ®Google Scholar
• Chen Y, Zhang X, Pan B, et al. A modified formula for calculating low-density lipoprotein cholesterol values. Lipids Health Dis. 2010;9:52. doi:10.1186/1476-511X-9-52
   PubMed Web of Science ®Google Scholar
• American Diabetes Association. Standards of medical care in diabetes–2011. Diabetes Care. 2011;34(Suppl 1)):S11–S61. doi:10.2337/dc11-S011
   Google Scholar
• Fitchett EJA, Seale AC, Vergnano S, et al. Strengthening the reporting of observational studies in epidemiology for newborn infection (STROBE-NI): an extension of the STROBE statement for neonatal infection research. Lancet Infect Dis. 2016;16(10):e202–e213. doi:10.1016/S1473-3099(16)30082-2
   PubMed Web of Science ®Google Scholar
• Wax Y. Collinearity diagnosis for a relative risk regression analysis: an application to assessment of diet-cancer relationship in epidemiological studies. Stat Med. 1992;11(10):1273–1287. doi:10.1002/sim.4780111003
   Web of Science ®Google Scholar
• Misra A, Vikram NK, Gupta R, Pandey RM, Wasir JS, Gupta VP. Waist circumference cutoff points and action levels for Asian Indians for identification of abdominal obesity. Int J Obes. 2006;30(1):106–111. doi:10.1038/sj.ijo.0803111
   Web of Science ®Google Scholar
• DeLong ER, DeLong DM, Clarke-Pearson DL, DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988;44(3):837–845.
   PubMed Web of Science ®Google Scholar
• Turner RC, Millns H, Neil HA, et al. Risk factors for coronary artery disease in non-insulin dependent diabetes mellitus: United Kingdom Prospective Diabetes Study (UKPDS: 23). BMJ. 1998;316(7134):823–828. doi:10.1136/bmj.316.7134.823
   PubMed Web of Science ®Google Scholar
• Doucet J, Le Floch JP, Bauduceau B, Verny C; SFD/SFGG Intergroup. GERODIAB: glycaemic control and 5-year morbidity/mortality of type 2 diabetic patients aged 70 years and older: 1. Description of the population at inclusion. Diabetes Metab. 2012;38(6):523–530. doi:10.1016/j.diabet.2012.07.001
   Web of Science ®Google Scholar
• Axsom K, Berger JS, Schwartzbard AZ. Statins and diabetes: the good, the bad, and the unknown. Curr Atheroscler Rep. 2013;15(2):299. doi:10.1007/s11883-012-0299-z
   PubMed Web of Science ®Google Scholar
• Lin D, Qi Y, Huang C, et al. Associations of lipid parameters with insulin resistance and diabetes: a population-based study. Clin Nutr. 2018;37(4):1423–1429. doi:10.1016/j.clnu.2017.06.018
   PubMed Web of Science ®Google Scholar
• Zhang N, Hu X, Zhang Q, et al. Non-high-density lipoprotein cholesterol: high-density lipoprotein cholesterol ratio is an independent risk factor for diabetes mellitus: results from a population-based cohort study. J Diabetes. 2018;10(9):708–714. doi:10.1111/1753-0407.12650
   PubMed Web of Science ®Google Scholar
• Han M, Li Q, Qie R, et al. Association of non-HDL-C/HDL-C ratio and its dynamic changes with incident type 2 diabetes mellitus: the Rural Chinese Cohort study. J Diabetes Complications. 2020;34(12):107712. doi:10.1016/j.jdiacomp.2020.107712
   PubMed Web of Science ®Google Scholar
• Caspersen CJ, Thomas GD, Boseman LA, Beckles GL, Albright AL. Aging, diabetes, and the public health system in the United States. Am J Public Health. 2012;102(8):1482–1497. doi:10.2105/AJPH.2011.300616
   PubMed Web of Science ®Google Scholar
• Pandey A, Chawla S, Guchhait P. Type-2 diabetes: current understanding and future perspectives. IUBMB Life. 2015;67(7):506–513. doi:10.1002/iub.1396
   Web of Science ®Google Scholar
• Nanditha A, Ma RC, Ramachandran A, et al. Diabetes in Asia and the pacific: implications for the global epidemic. Diabetes Care. 2016;39(3):472–485. doi:10.2337/dc15-1536
   PubMed Web of Science ®Google Scholar
• Mannucci E, Ognibene A, Sposato I, et al. Fasting plasma glucose and glycated haemoglobin in the screening of diabetes and impaired glucose tolerance. Acta Diabetol. 2003;40(4):181–186. doi:10.1007/s00592-003-0109-8
   Web of Science ®Google Scholar
• Neville SE, Boye KS, Montgomery WS, Iwamoto K, Okamura M, Hayes RP. Diabetes in Japan: a review of disease burden and approaches to treatment. Diabetes Metab Res Rev. 2009;25(8):705–716. doi:10.1002/dmrr.1012
   PubMed Web of Science ®Google Scholar