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http://dx.doi.org/10.15207/JKCS.2022.13.01.399

Comparison of the Usefulness of Lipid Ratio Indicators for Prediction of Metabolic Syndrome in the Elderly Aged 65 Years or Older  

Shin, Kyung-A (Dept. of Clinical Laboratory Science, Shinsung University)
Kim, Eun Jae (Dept. of Medical Laboratory Science, Jeonju Kijeon University)
Publication Information
Journal of the Korea Convergence Society / v.13, no.1, 2022 , pp. 399-408 More about this Journal
Abstract
The purpose of this study was to compare the usefulness of the lipid ratio indicators for the diagnosis of metabolic syndrome in the elderly aged 65 years or older. From January 2018 to December 2020, 1,464 people aged 65 years or older who underwent a health checkup at a general hospital in Seoul were included. Lipid ratio indicators were measured through blood tests. The prevalence of metabolic syndrome according to the quartiles of the lipid ratio index was confirmed by logistic regression analysis. In addition, the metabolic syndrome predictive ability and cutoff value of the lipid ratio indices were estimated with the receiver operating characteristic(ROC) curve. The correlation between atherogenic index of plasma(AIP) and waist circumference was the highest in both men and women(r=0.278, p<0.001 vs r=0.252, p<0.001). As for the lipid ratio indices, the incidence of metabolic syndrome was higher in the fourth quartile than in the first quartile. The area under the ROC curve(AUC) value of AIP was higher at 0.826(95% CI=0.799-0.850) and 0.852(95% CI=0.820-0.881) for men and women, respectively, compared to other lipid ratio indicators, and the optimal cutoff values for both men and women was 0.44(p<0.001). Therefore, the AIP among the lipid ratio indicators was found to be the most useful index for diagnosing metabolic syndrome in the elderly aged 65 years or older.
Keywords
Arteriosclerosis index; Cutoff value; Lipid ratio; Metabolic syndrome; Hyperlipidemia;
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1 E. Alibasic, E. Ramic, A. Bajraktarevic, F. Ljuca, O. Batic-Mujanovic & M. Zildzic. (2015). Atherogenic dyslipidemia and residual vascular risk in practice of family doctor. Medical Archives, 69(5), 339-341. DOI : 10.5455/medarh.2015.69.339-341   DOI
2 S. D. Banik et al. (2021). Evaluation of anthropometric indices and lipid parameters to predict metabolic syndrome among adults in Mexico. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, 14, 691-701. DOI : 10.2147/DMSO.S281894   DOI
3 M. Rezapour, A. Shahesmaeili, A. Hossinzadeh, R. Zahedi, H. Najafipour & M. H. Gozashti. (2018). Comparison of lipid ratios to identify metabolic syndrome. Archives of Iranian Medicine, 21(12), 572-577.
4 T. T. Wu, Y. Gao, Y. Y. Zheng, Y. T. Ma & X. Xie. (2018). Atherogenic index of plasma (AIP): a novel predictive indicator for the coronary artery disease in postmenopausal women. Lipids in Health and Disease, 17(1), 197. DOI : 10.1186/s12944-018-0828-z   DOI
5 S. Shen et al. (2016). Association between ideal cardiovascular health and the atherogenic index of plasma. Medicine (Baltimore), 95(24), e3866. DOI : 10.1097/MD.0000000000003866   DOI
6 G. L. Vega, C. E. Barlow, S. M. Grundy, D. Leonard & L. F. DeFina. (2014). Triglyceride-to-high-density-lipoprotein-choleste rol ratio is an index of heart disease mortality and of incidence of type 2 diabetes mellitus in men. Journal of Investigative Medicine, 62(2), 345-349. DOI : 10.2310/JIM.0000000000000044   DOI
7 G. Zoppini, C. Negri, V. Stoico, S. Casati, I. Pichiri & E. Bonora. (2012). Triglyceride-high-density lipoprotein cholesterol is associated with microvascular complications in type 2 diabetes mellitus. Metabolism, 61(1), 22-29. DOI : 10.1016/j.metabol.2011.05.004   DOI
8 M. Galisteo, J. Duarte & A. Zarzuelo. (2008). Effects of dietary fibers on disturbances clustered in the metabolic syndrome. Journal of Nutritional Biochemistry, 19(2), 71-84. DOI : 10.1016/j.jnutbio.2007.02.009   DOI
9 M. Dobiasova. (2006). AIP-atherogenic index of plasma as a significant predictor of cardiovascular risk: from research to practice. Vnitrni lekarstvi, 52(1), 64-71.
10 S. Niroumand et al. (2015). Atherogenic Index of Plasma (AIP): A marker of cardiovascular disease. Medical Journal of the Islamic Republic of Iran, 29, 240.
11 M. P. Hermans, F. M. Sacks, S. A. Ahn & M. F. Rousseau. (2011). Non-HDL-cholesterol as valid surrogate to apolipoprotein B100 measurement in diabetes: Discriminant ratio and unbiased equivalence. Cardiovascular Diabetology. 28(10), 20. DOI : 10.1186/1475-2840-10-20   DOI
12 K. A. Adedokun, J. Olisekodiaka, A. D. Adeyeye & M. A. Muhibi. (2017). Castelli risk index, atherogenic index of plasma, and atherogenic coefficient: emerging risk predictors of cardiovascular disease in HIV-treated patients. Saudi Pharmaceutical Journal, 3(10B), 1101-1110. DOI : 10.21276/sjmps.2017.3.10.15   DOI
13 World Health Organization. (2000). The Asia-Pacific perspective: redefining obesity and its treatment. Sydney: Health Communications Australia.
14 E. N. Adejumo et al. (2019). Anthropometric parameter that best predict metabolic syndrome in South west Nigeria. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, 13(1), 48-54. DOI : 10.1016/j.dsx.2018.08.009   DOI
15 M. Aguilar, T. Bhuket, S. Torres, B. Liu & R. J. Wong. (2015). Prevalence of the metabolic syndrome in the United States, 2003-2012. Journal of the American Medical Association, 313(19), 1973-19744. DOI : 10.1001/jama.2015.4260   DOI
16 J. Millan et al. (2009). Lipoprotein ratios: Physiological significance and clinical usefulness in cardiovascular prevention. Vascular Health and Risk Management, 5, 757-765.
17 D. Gasevic, J. Frohlich, G. B. J. Mancini & S. A. Lear. (2012). The association between triglyceride to high-density-lipoprotein cholesterol ratio and insulin resistance in a multiethnic primary prevention cohort. Metabolism, 61(4), 583-589. DOI : 10.1016/j.metabol.2011.09.009   DOI
18 A. E. Sumner, K. B. Finley, D. J. Genovese, M. H. Criqui & R. C. Boston. (2005). Fasting triglyceride and the triglyceride-HDL cholesterol ratio are not markers of insulin resistance in African Americans. Archives of internal medicine, 165(12), 1395-1400. DOI : 10.1001/archinte.165.12.1395   DOI
19 C. Li, E. S. Ford, Y. X. Meng, A. H. Mokdad & G. M. Reaven. (2008). Does the association of the triglyceride to high-density lipoprotein cholesterol ratio with fasting serum insulin differ by race/ethnicity? Cardiovascular Diabetology, 7, 4. DOI : 10.1186/1475-2840-7-4   DOI
20 W. P. Castelli, R. D. Abbott & P. M. McNamara. (1983). Summary estimates of cholesterol used to predict coronary heart disease. Circulation, 67(4), 730-734. DOI : 10.1161/01.cir.67.4.730   DOI
21 F. Essiarab, H. Taki, H. Lebrazi, M. Sabri & R. Saile. (2014). Usefulness of lipid ratios and atherogenic index of plasma in obese Moroccan women with or without metabolic syndrome. Ethnicity & Disease, 24(2), 207-212.
22 H. Wang et al. (2017). Comparison of anthropometric indices for predicting the risk of metabolic syndrome and its components in Chinese adults: a prospective, longitudinal study. BMJ Open, 7(9), e016062. DOI : 10.1136/bmjopen-2017-016062   DOI
23 M. G. Knight et al. (2011). The TG/HDL-C ratio does not predict insulin resistance in overweight women of African descent: a study of South African, African American and West African women. Ethnicity & Disease, 21(4), 490-494.
24 R. SoRelle. (2002). ATP III calls for more intensive low-density lipoprotein lowering in target groups. Circulation, 106(25), e90688. DOI : 10.1161/01.cir.0000052861.81153.18   DOI
25 Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults. (2001). Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III). The Journal of the American Medical Association, 285(19), 2486-2497. DOI : 10.1001/jama.285.19.2486   DOI
26 D. Gasevic, J. Frohlich, G. J. Mancini & S. A. Lear. (2014). Clinical usefulness of lipid ratios to identify men and women with metabolic syndrome: a cross-sectional study. Lipids in Health and Disease, 13, 159. DOI : 10.1186/1476-511X-13-159   DOI
27 A. Scuteri et al. (2015). Metabolic syndrome across Europe: different clusters of risk factors. European Journal of Preventive Cardiology, 22(4), 486-491. DOI : 10.1177/2047487314525529   DOI
28 B. Bozkurt et al. (2016). Contributory risk and management of comorbidities of hypertension, obesity, diabetes mellitus, hyperlipidemia, and metabolic syndrome in chronic heart failure: A scientific statement from the American heart association. Circulation, 134(23), e535-e578. DOI : 10.1161/CIR.0000000000000450   DOI
29 M. Dobiasova, J. Frohlich, M. Sedova, M. C. Cheung & B. G. Brown. (2011). Cholesterol esterification and atherogenic index of plasma correlate with lipoprotein size and findings on coronary angiography. Journal of Lipid Research, 52(3), 566-571. DOI : 10.1194/jlr.P011668   DOI
30 R. Kawamoto et al. (2011). Relationships between lipid profiles and metabolic syndrome, insulin resistance and serum high molecular adiponectin in Japanese community-dwelling adults. Lipids in Health and Disease, 10, 79. DOI : 10.1186/1476-511X-10-79   DOI
31 F. Hadaegh, M. Hatami, M. Tohidi, P. Sarbakhsh, N. Saadat & F. Azizi. (2010). Lipid ratios and appropriate cut off values for prediction of diabetes: a cohort of Iranian men and women. Lipids in Health and Disease, 9, 85. DOI : 10.1186/1476-511X-9-85   DOI
32 M. H. Kim et al. (2020). The change of metabolic syndrome prevalence and its risk factors in Korean adults for decade: Korea National Health and Nutrition Examination Survey for 2008-2017. Korean Journal of Family Practice, 10(2), 44-52. DOI : 10.21215/kjfp.2020.10.1.44   DOI
33 M. Dobiasova & J. Frohlich. (2001). The plasma parameter log (TG/HDL-C) as an atherogenic index: correlation with lipoprotein particle size and esterification rate in apoB-lipoprotein-depleted plasma (FER(HDL)). Clinical Biochemistry, 34(7), 583-588. DOI : 10.1016/s0009-9120(01)00263-6   DOI
34 X. W. Zhu, F. Y. Deng & S. F. Lei. (2015). Meta-analysis of atherogenic index of plasma and other lipid parameters in relation to risk of type 2 diabetes mellitus. Primary Care Diabetes, 9(1), 60-67. DOI : 10.1016/j.pcd.2014.03.007   DOI
35 M. Abbasian, M. Delvarianzadeh, H. Ebrahimi & F. Khosravi. (2017). Lipid ratio as a suitable tool to identify individuals with MetS risk: A casecontrol study. Diabetology & Metabolic Syndrome, 11(Suppl 1), S15-S19. DOI : 10.1016/j.dsx.2016.08.011   DOI
36 H. J. Kimm et al. (2010). Associations between lipid measures and metabolic syndrome, insulin resistance and adiponectin. Circulation Journal, 74(5), 931-937. DOI : 10.1253/circj.cj-09-0571   DOI
37 D. Koleva, P. Andreeva-Gateva, M. Orbetzova, I. Atanassova & J. Nikolova. (2015). Atherogenic index of plasma, castelli risk indexes and leptin/adiponectin ratio in women with metabolic syndrome. International Journal of Pharmaceutical and Medical Research, 3(5), 12-18.
38 A. Cordero et al. (2008). Comparison of serum lipid values in subjects with and without the metabolic syndrome. American Journal of Cardiology, 102(4), 424-428. DOI : 10.1016/j.amjcard.2008.03.079   DOI