Generic placeholder image

Current Nutrition & Food Science

Editor-in-Chief

ISSN (Print): 1573-4013
ISSN (Online): 2212-3881

Research Article

Association between Renal Function and Individual and Combined Components of Metabolic Syndrome in Elderly People in Brazil

Author(s): Gleyson Moura dos Santos*, Ivone Freires de Oliveira Costa Nunes, Francisco Erasmo de Oliveira, Thaís Rodrigues Nogueira, Paulo Víctor de Lima Sousa, Maísa Guimarães Silva Primo, Suzana Maria Rebêlo Sampaio da Paz and Cecilia Maria Resende Gonçalves de Carvalho

Volume 19, Issue 7, 2023

Published on: 27 December, 2022

Page: [723 - 731] Pages: 9

DOI: 10.2174/1573401319666221216101853

Price: $65

Abstract

Background: Current literature highlights that chronic kidney disease (CKD) is a public health problem and that metabolic syndrome (MS) is a potential risk factor, especially among the elderly population, since aging seems to create metabolic disorders such as hypertension, hypertriglyceridemia, and glycemic decompensation. Despite this, some mechanisms/events of the relationship between kidney damage and MS remain controversial.

Objective: The objective of this study is to investigate the association of compromised glomerular filtration rate with metabolic syndrome and its components in a population of Brazilian elderly.

Methods: This is a cross-sectional study carried out in Northeast Brazil with 273 elderly men and women aged between 60 and 93 years. Clinical, sociodemographic, anthropometric, and lifestyle data, as well as biochemical, blood pressure, and glomerular filtration rate variables, were evaluated. Data were analyzed using Stata® (Statacorp, College Station, Texas, USA), version 14, adopting a significance level of p<0.05. The research has ethical approval (no. 2,216,538).

Results: There was a significant difference between impaired renal function and adequate values of WC (p = 0.044), triglycerides (p = 0.018), LDL-c (p = 0.015), and the presence of more than three components of MS (p = 0.036). High values of triglycerides (PR 1.48; p = 0.025) and LDLc (PR 1.44; p = 0.017) and presence of more than three components of MS (PR 1.45; p = 0.023) increase the chance of kidney damage.

Conclusion: The presence of individual and combined components of MS (high triglycerides, cholesterol and LDL-c, and low HDL-c) promotes the impairment of renal function among the elderly studied. It is noteworthy that MS does not represent a significant independent factor to generate losses to GFR.

Keywords: Population surveys, HDL-cholesterol, LDL-cholesterol, kidney disease, glomerular filtration rate, cardiometabolic syndrome.

Graphical Abstract
[1]
Cheung AK, Chang TI, Cushman WC, et al. KDIGO 2021 clinical practice guideline for the management of blood pressure in chronic kidney disease. Kidney Int 2021; 99(3): S1-S87.
[http://dx.doi.org/10.1016/j.kint.2020.11.003] [PMID: 33637192]
[2]
Bello AK, Levin A, Tonelli M, et al. Global kidney health atlas: A report by the international society of nephrology on the current state of organization and structures for kidney care across the globe 2017. Available from: https://www.kidneycareuk.org/documents/52/ISN_Global_kidney_health_atlas.pdf
[3]
Webster AC, Nagler EV, Morton RL, Masson P. Chronic kidney disease. Lancet 2017; 389(10075): 1238-52.
[http://dx.doi.org/10.1016/S0140-6736(16)32064-5] [PMID: 27887750]
[4]
Marinho AWGB, Penha AP, Silva MT, Galvão TF. Prevalence of chronic kidney disease in adults in Brazil: A systematic review of the literature. Collective Health Notebooks 2017.
[5]
Hussain T, Naushad SM, Ahmed A, et al. Association of vitamin D receptor TaqI and ApaI genetic polymorphisms with nephrolithiasis and end stage renal disease: A meta-analysis. BMC Med Genet 2019; 20(1): 193.
[http://dx.doi.org/10.1186/s12881-019-0932-6] [PMID: 31822280]
[6]
Nogueira TR, Marreiros CS. de Jesus e Silva de Almendra Freitas B. Chronic kidney disease, metabolic syndrome, and cardiovascular risk: Insights and associated mechanistic pathways. Curr Nutr Food Sci 2022; 18(6): 539-48.
[http://dx.doi.org/10.2174/1573401318666220203164619]
[7]
Nugroho P, Lydia A, Suhardjono S, Harimurti K. Association of BsmI polymorphisms in the vitamin D receptor gene among indonesian population with diabetic kidney disease. Acta Med Indones 2021; 53(2): 149-55.
[PMID: 34251342]
[8]
Yun HR, Kim H, Park JT, et al. Obesity, metabolic abnormality, and progression of CKD. Am J Kidney Dis 2018; 72(3): 400-10.
[http://dx.doi.org/10.1053/j.ajkd.2018.02.362] [PMID: 29728317]
[9]
Kelly JT, Su G, Zhang L, et al. Modifiable lifestyle factors for primary prevention of CKD: A systematic review and meta-analysis. J Am Soc Nephrol 2021; 32(1): 239-53.
[http://dx.doi.org/10.1681/ASN.2020030384] [PMID: 32868398]
[10]
Marreiros CS, Nogueira TR, do Nascimento PP, et al. Influence of metabolic syndrome on factors associated with chronic kidney disease: A cross-sectional study. Curr Nutr Food Sci 2021; 17(9): 1016-24.
[http://dx.doi.org/10.2174/1573401317666210702103247]
[11]
McCracken E, Monaghan M, Sreenivasan S. Pathophysiology of the metabolic syndrome. Clin Dermatol 2018; 36(1): 14-20.
[http://dx.doi.org/10.1016/j.clindermatol.2017.09.004] [PMID: 29241747]
[12]
Kawamoto R, Akase T, Ninomiya D, Kumagi T, Kikuchi A. Metabolic syndrome is a predictor of decreased renal function among community-dwelling middle-aged and elderly Japanese. Int Urol Nephrol 2019; 51(12): 2285-94.
[http://dx.doi.org/10.1007/s11255-019-02320-0] [PMID: 31642000]
[13]
Amaral TLM, Amaral CA, Vasconcellos MTL, Monteiro GTR. Prevalence and factors associated with chronic kidney disease in the elderly. Rev. Public Health 2019; 53: 44.
[http://dx.doi.org/10.11606/S1518-8787.2019053000727] [PMID: 31066822]
[14]
Xu L, Liu J, Li D, Yang H, Zhou Y, Yang J. Association between metabolic syndrome components and chronic kidney disease among 37,533 old Chinese individuals. Int Urol Nephrol 2022; 54(6): 1445-54.
[http://dx.doi.org/10.1007/s11255-021-03013-3] [PMID: 34671893]
[15]
Wang Y, Sun B, Sheng LT, et al. Association between weight status, metabolic syndrome, and chronic kidney disease among middle-aged and elderly Chinese. Nutr Metab Cardiovasc Dis 2020; 30(11): 2017-26.
[http://dx.doi.org/10.1016/j.numecd.2020.06.025] [PMID: 32826134]
[16]
Lin L, Tan W, Pan X, Tian E, Wu Z, Yang J. Metabolic syndrome-related kidney injury: A review and update. Front Endocrinol 2022; 13: 904001.
[http://dx.doi.org/10.3389/fendo.2022.904001] [PMID: 35813613]
[17]
Wu M, Shu Y, Wang L, et al. Metabolic syndrome severity score and the progression of CKD. Eur J Clin Invest 2022; 52(1): e13646.
[http://dx.doi.org/10.1111/eci.13646] [PMID: 34197633]
[18]
Brazil Ministry of Health (BR) National Health Council Resolution No 466, of December 12, 2012 Approves the regulatory guidelines and standards for research involving human beings. Brasilia: Diário da República 2012.
[19]
Lopes HF. Genetics and arterial hypertension Genetic and hypertension. Rev Bras Hipertens 2014; 21(2): 87-91.
[20]
Arango HG. Biostatistics-theoretical and computational. Sao Paulo: Guanabara Koogan 2009.
[21]
Chumlea WC, Roche AF, Steinbaugh ML. Estimating stature from knee height for persons 60 to 90 years of age. J Am Geriatr Soc 1985; 33(2): 116-20.
[http://dx.doi.org/10.1111/j.1532-5415.1985.tb02276.x] [PMID: 3968366]
[22]
World Health Organization – WHO Waist Circumference and Waist-Hip 2008. Available from: https://www.who.int/publication/i/item/9789241501491
[23]
Organização Pan-Americana – OPAS. XXXVI Meeting of the Health Research Advisory Committee – Multicenter Survey – Health, Wellbeing and Aging (SABE) in Latin America and the caribbean – preliminary report. 2002.
[24]
Barroso WKS, Rodrigues CIS, Bortolotto LA, et al. Brazilian Guidelines on Arterial Hypertension– 2020. Arq Bras Cardiol 2021; 116(3): 516-658.
[http://dx.doi.org/10.36660/abc.20201238] [PMID: 33909761]
[25]
National Cholesterol Education Program (NCEP). Executive summary of the third report of the ncep expert panel on detection, evaluation and treatment of high blood cholesterol in adults (adult treatment panel III). JAMA 2001; 285: 2486-97.
[http://dx.doi.org/10.1001/jama.285.19.2486] [PMID: 11368702]
[26]
Brazilian minimum wage of 2011. 2011.
[27]
Brar A, Markell M. Impact of gender and gender disparities in patients with kidney disease. Curr Opin Nephrol Hypertens 2019; 28(2): 178-82.
[http://dx.doi.org/10.1097/MNH.0000000000000482] [PMID: 30652978]
[28]
Chen D, Sun H, Lu C, Chen W, Guo VY. The association between hypertriglyceridemic-waist phenotype and chronic kidney disease: A cohort study and meta-analysis. Sci Rep 2022; 12(1): 1935.
[http://dx.doi.org/10.1038/s41598-022-05806-7] [PMID: 35121773]
[29]
Madero M, Katz R, Murphy R, et al. Comparison between different measures of body fat with kidney function decline and incident CKD. Clin J Am Soc Nephrol 2017; 12(6): 893-903.
[http://dx.doi.org/10.2215/CJN.07010716] [PMID: 28522656]
[30]
Chang AR, Grams ME, Ballew SH, et al. Adiposity and risk of decline in glomerular filtration rate: meta-analysis of individual participant data in a global consortium. BMJ 2019; 364: k5301.
[http://dx.doi.org/10.1136/bmj.k5301] [PMID: 30630856]
[31]
Zhang X, Lerman LO. The metabolic syndrome and chronic kidney disease. Transl Res 2017; 183: 14-25.
[http://dx.doi.org/10.1016/j.trsl.2016.12.004] [PMID: 28025032]
[32]
Lu MC, Chen IJ, Hsu LT, et al. Metabolic risk factors associated with chronic kidney disease in a middle-aged and elderly taiwanese population: A cross-sectional study. Front Med 2021; 8: 748037.
[http://dx.doi.org/10.3389/fmed.2021.748037] [PMID: 34869437]
[33]
Thobani A, Jacobson TA. Dyslipidemia in patients with kidney disease. Cardiol Clin 2021; 39(3): 353-63.
[http://dx.doi.org/10.1016/j.ccl.2021.04.008] [PMID: 34247749]
[34]
Liang X, Ye M, Tao M, et al. The association between dyslipidemia and the incidence of chronic kidney disease in the general Zhejiang population: a retrospective study. BMC Nephrol 2020; 21(1): 252.
[http://dx.doi.org/10.1186/s12882-020-01907-5] [PMID: 32616008]
[35]
Zhao S, Yu S, Chi C, et al. Association between macro- and microvascular damage and the triglyceride glucose index in community-dwelling elderly individuals: the Northern Shanghai Study. Cardiovasc Diabetol 2019; 18(1): 95.
[http://dx.doi.org/10.1186/s12933-019-0898-x] [PMID: 31345238]
[36]
Moafi M, Assadi F, Heshmat R, et al. Impact of dyslipidemia on estimated glomerular filtration rate in apparently healthy children and adolescents: the CASPIAN-V study. World J Pediatr 2019; 15(5): 471-5.
[http://dx.doi.org/10.1007/s12519-019-00270-2] [PMID: 31240635]
[37]
Kuma A, Uchino B, Ochiai Y, et al. Impact of low-density lipoprotein cholesterol on decline in estimated glomerular filtration rate in apparently healthy young to middle-aged working men. Clin Exp Nephrol 2018; 22(1): 15-27.
[http://dx.doi.org/10.1007/s10157-017-1407-8] [PMID: 28386655]
[38]
Shimizu M, Furusyo N, Mitsumoto F, et al. Subclinical carotid atherosclerosis and triglycerides predict the incidence of chronic kidney disease in the Japanese general population: Results from the Kyushu and Okinawa Population Study (KOPS). Atherosclerosis 2015; 238(2): 207-12.
[http://dx.doi.org/10.1016/j.atherosclerosis.2014.12.013] [PMID: 25528429]
[39]
Song YM, Sung J, Lee K. Longitudinal relationships of metabolic syndrome and obesity with kidney function: Healthy Twin Study. Clin Exp Nephrol 2015; 19(5): 887-94.
[http://dx.doi.org/10.1007/s10157-015-1083-5] [PMID: 25634252]
[40]
Tozawa M, Iseki K, Iseki C, Oshiro S, Ikemiya Y, Takishita S. Triglyceride, but not total cholesterol or low-density lipoprotein cholesterol levels, predict development of proteinuria. Kidney Int 2002; 62(5): 1743-9.
[http://dx.doi.org/10.1046/j.1523-1755.2002.00626.x] [PMID: 12371975]
[41]
Ren M, You L, Lin D, et al. Association of metabolic syndrome with the incidence of low-grade albuminuria: a cohort study in middle-aged and elderly Chinese adults. Aging (Albany NY) 2021; 13(5): 7350-60.
[http://dx.doi.org/10.18632/aging.202592] [PMID: 33686966]
[42]
Comini LO, de Oliveira LC, Borges LD, et al. Individual and combined components of the metabolic syndrome with chronic kidney disease in individuals with hypertension and/or diabetes mellitus accompanied by primary health care. Diabetes Metab Syndr Obes 2020; 13: 71-80.
[http://dx.doi.org/10.2147/DMSO.S223929] [PMID: 32021353]
[43]
Rosenstein K, Tannock LR, Feingold KR, et al. Dyslipidemia in chronic kidney disease 2000. Available from: www.ncbi.nlm.nih.gov/books/NBK305899/
[44]
Bowe B, Xie Y, Xian H, Balasubramanian S, Al-Aly Z. Low levels of high-density lipoprotein cholesterol increase the risk of incident kidney disease and its progression. Kidney Int 2016; 89(4): 886-96.
[http://dx.doi.org/10.1016/j.kint.2015.12.034] [PMID: 26924057]
[45]
Kronenberg F. HDL in CKD-the devil is in the detail. J Am Soc Nephrol 2018; 29(5): 1356-71.
[http://dx.doi.org/10.1681/ASN.2017070798] [PMID: 29472417]

Rights & Permissions Print Cite
© 2024 Bentham Science Publishers | Privacy Policy