Dyslipidemia in Renal Dysfunction among Non-diabetic Individuals from the 2019 Indonesian Cohort Study: A Cross-Sectional Study
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Issue
Vol. 18 No. 2 (2023)
Accepted
31 May 2023
Published
31 July 2023
Keywords:
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dyslipidemia, glomerular filtration rate, non-diabetes
Abstract
The aim of this study was to investigate the relationship between dyslipidemia and the estimated Glomerular Filtration Rate (eGFR) values in a healthy population without a history of diabetes mellitus. Data were part of the cohort study database of 2019. Data analysis was perfomed using descriptive and inferential statistics with linear regression in 893 of 1,545 non-diabetic participants. The results showed that the average cholesterol levels, High-Density Lipoprotein (HDL), Low-Density Lipoprotein (LDL), and triglycerides were 196.75, 48.71, 123.37, and 109.56 mg/dl, respectively, and the average eGFR level of the respondents was 98.47±15.50 mg/dl. This study found that age, HDL levels, and LDL levels had a significant relationship with eGFR (p<0.05). It was concluded that increasing age and LDL levels and decreasing HDL levels would decrease eGFR.
References
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Teo BW, Xu H, Koh YY, Li J, Subramanian S, Sinha AK, Shuter B, Toh Q, Sethi S, Lee EJ. 2014. Glomerular filtration rates in healthy Asians without kidney disease. Nephrology 19(2):72‒79. https://doi.org/10.1111/nep.12182
Theofilis P, Vordoni A, Koukoulaki M, Vlachopanos G, Kalaitzidis RG. 2021. Dyslipidemia in chronic kidney disease: Contemporary concepts and future therapeutic perspectives. Am J Nephrol 52(9):693‒701. https://doi.org/10.1159/000518456
Tsimihodimos V, Mitrogianni Z, Elisaf M. 2011. Dyslipidemia associated with chronic kidney disease. Open Cardiovasc Med J 5:41‒48. https://doi.org/10.2174/1874192401105010041
Yue L, Fan L, Du X. 2021. Age- and sex-specific reference values of estimated glomerular filtration rate in Chinese population. Gerontology 67(4):397‒402. https://doi.org/10.1159/000513451
Zhang H, Shi S, Zhao XJ, Wang JK, Liu ZW, Liu FQ, Zhu L, Zhu SM, Zhang Y, Pan S. 2019. Association between the lipid profile and renal dysfunction in the heart failure patients. Kidney Blood Press Res 44(1):52‒61. https://doi.org/10.1159/000498834
Arifa SI, Azam M, Handayani OWK. 2017. Faktor yang berhubungan dengan kejadian penyakit ginjal kronik pada penderita hipertensi di Indonesia. Media Kesehat Masy Indones 13(4):319‒328. https://doi.org/10.30597/mkmi.v13i4.3155
Chen SC, Hung CC, Kuo MC, Lee JJ, Chiu YW, Chang JM, Hwang SJ, Chen HC. 2013. Association of dyslipidemia with renal outcomes in chronic kidney disease. Plos One 8(2): e55643. https://doi.org/10.1371/journal.pone.0055643
Herrington W, Emberson J, Mihaylova B, Blackwell L, Reith C, Haynes R, Landray M, Collins R, Baigent C, Cholesterol Treatment Trialists' Collaboration. 2016. Impact of renal function on the effects of LDL cholesterol lowering with statin-based regimens: A meta-analysis of individual participant data from 28 randomisedtrials. Lancet Diabetes Endocrinol 4(10):829‒839. https://doi.org/10.1016/ S2213-8587(16)30156-5
Kovesdy CP, Furth SL, Zoccali C. 2017. Obesity and kidney disease: Hidden consequences of the epidemic. Clin Kidney J 10(1):1‒8. https://doi.org/10.1177/2054358117698669
Kurniati A, Tahono T. 2016. Angka banding albumin kreatinin air kemih dan hba1c serta estimasi laju filtrasi glomerulus pada pasien diabetes melitus tipe 2. Indones J Clin Pathol Med Lab 21(3):250‒256. https://doi.org/10.24293/ijcpml.v21i3.736
Lahane SKK, Bhosale AS, Bhagyashri B. 2022. A study of lipid profile in non-diabetic chronic kidney disease patients: A hospital based study. Eur J Mol Clin Med 9(04):1083‒1091.
Levey AS, Stevens LA. 2010. Estimating GFR using the CKD epidemiology collaboration (CKD-EPI) creatinine equation: More accurate GFR estimates, lower CKD prevalence estimates, and better risk predictions. Am J Kidney Dis 55(4):622‒627. https://doi.org/10.1053/j.ajkd.2010.02.337
Levey AS, Stevens LA, Schmid CH, Zhang Y, Castro AF, Feldman HI, Kusek JW, Eggers P, Lente F Van, Greene T et al. 2009. A new equation to estimate glomerular filtration rate. Ann Intern Med 150(9):604‒612. https://doi.org/10.7326/0003-4819-150-9-200905050-00006
Liang X, Ye M, Tao M, Zheng D, Cai R, Zhu Y, Jin J, He Q. 2020. The association between dyslipidemia and the incidence of chronic kidney disease in the general Zhejiang population: A retrospective study. BMC Nephrol 21(252):1‒10. https://doi.org/10.1186/s12882-020-01907-5
[MoH RI] Ministry of Health Republic of Indonesia. Laporan Nasional Riskesdas Tahun 2013. Jakarta (ID): MoH RI: The National Institute of Health Research and Development.
[MoH RI] Ministry of Health Republic of Indonesia. Laporan Nasional Riskesdas Tahun 2018. Jakarta (ID): MoH RI: The National Institute of Health Research and Development.
McMahon GM, Preis SR, Hwang S, Fox CS. 2014. Mid-adulthood risk factor profiles for CKD. J Am Soc Nephrol 25(11):2633‒2641. https://doi.org/10.1681/ASN.2013070750
Navratilova HF, Damayanthi E, Ardiansyah R, Fitriyana IN, Soejoedono RD, Thenawidjaja M. 2020. Fecal lipid content, serum lipid profile, and intraabdominal fat accumulation in normal rats supplemented with rice bran oil. J Gizi Pangan 15(2):119‒124. https://doi.org/10.25182/jgp.2020.15.2.119-124
[PERKENI] Perkumpulan Endokrinologi Indonesia. 2021. Pedoman Pengelolaan dan Pencegahan Diabetes Melitus Tipe 2 Dewasa di Indonesia 2021. Jakarta (ID): PB PERKENI.
Palebangan C, Rasyid H, Aman AM, Bakri S, Umar H, Benyamin AF, Kasim H, Seweng A. 2020. Relationship between estimated glomerular filtration rate with plasma lipid levels in non-dialysis diabetic kidneydisease patients. Eur J Mol Clin Med 7(8):935‒943.
Patel SH, Bhavsar M, Parekh A, BhanavadiyaR. 2019. Study of Lipid profile in chronic kidney disease patients. J Med Sci Clin Res 7(4):668‒675. https://doi.org/10.18535/jmscr/v7i4.113
Ravani P, Fiocco M, Liu P, Quinn RR, Hemmelgarn B, James M, Lam N, Manns B, Oliver MJ, Strippoli GFM et al. 2019. Influence of mortality on estimating the risk of kidney failure in people with stage 4 CKD. J Am Soc Nephrol 30(11):2219‒2227. https://doi.org/10.1681/ASN.2019060640
Reiner Ž, Catapano AL, De Backer G, Graham I, Taskinen MR, Wiklund O, Agewall S, Alegria E, Chapman MJ, Durrington P, Erdine S. 2011. ESC/EAS guidelines for the management of dyslipidaemias. Eur Heart J 32(14):1769‒1818. https://doi.org/10.1093/eurheartj/ehr158
Sulistiowati E, Idaiani S. 2015. Faktor risiko penyakit ginjal kronik berdasarkan analisis cross-sectional data awal studi kohort penyakit tidak menular penduduk usia 25‒65 tahun di Kelurahan Kebon Kalapa, Kota Bogor tahun 2011. Bul Penelit Kesehat 43(3):163‒172. https://doi.org/10.22435/bpk.v43i3.4344.163-172
Teo BW, Xu H, Koh YY, Li J, Subramanian S, Sinha AK, Shuter B, Toh Q, Sethi S, Lee EJ. 2014. Glomerular filtration rates in healthy Asians without kidney disease. Nephrology 19(2):72‒79. https://doi.org/10.1111/nep.12182
Theofilis P, Vordoni A, Koukoulaki M, Vlachopanos G, Kalaitzidis RG. 2021. Dyslipidemia in chronic kidney disease: Contemporary concepts and future therapeutic perspectives. Am J Nephrol 52(9):693‒701. https://doi.org/10.1159/000518456
Tsimihodimos V, Mitrogianni Z, Elisaf M. 2011. Dyslipidemia associated with chronic kidney disease. Open Cardiovasc Med J 5:41‒48. https://doi.org/10.2174/1874192401105010041
Yue L, Fan L, Du X. 2021. Age- and sex-specific reference values of estimated glomerular filtration rate in Chinese population. Gerontology 67(4):397‒402. https://doi.org/10.1159/000513451
Zhang H, Shi S, Zhao XJ, Wang JK, Liu ZW, Liu FQ, Zhu L, Zhu SM, Zhang Y, Pan S. 2019. Association between the lipid profile and renal dysfunction in the heart failure patients. Kidney Blood Press Res 44(1):52‒61. https://doi.org/10.1159/000498834
Authors
RetiatyF., DanyF., ErnawatiF., NurjanahN., EfriwatiE., ArifinA. Y., SundariD., PrihatiniM., WidoretnoW., SaharaE., ImanningsihN., & HerawatiA. N. (2023). Dyslipidemia in Renal Dysfunction among Non-diabetic Individuals from the 2019 Indonesian Cohort Study: A Cross-Sectional Study. Jurnal Gizi Dan Pangan, 18(2), 71-78. https://doi.org/10.25182/jgp.2023.18.2.71-78
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