A Clinical Evaluation of Age and Metabolic Factors Affecting the Estimated Glomerular Filtration Rate

Authors

Tasrif Ahmad , Yosepin Galuh Sekar Khinanti , Debora Natasya Yusup , Aulisa Siska Nabila , Dewi Nurjanah Jaya Saputri , Lutfi Kurniawati

DOI:

10.29303/jbt.v26i3.12142

Published:

2026-08-14

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Abstract

Chronic kidney disease (CKD) remains a major global health challenge, characterized by a progressive decline in the estimated glomerular filtration rate (eGFR). Advanced age, sub-optimal glycemic control, and lipid abnormalities are well-established risk factors for renal dysfunction. This study evaluated the clinical profiles of subjects and analyzed the association between various clinical indicators and eGFR. A cross-sectional design was employed involving 317 participants. Data on age, HbA1c (specifically for diabetic individuals, n = 207), lipid parameters (Total Cholesterol, Triglycerides, LDL, and HDL), and renal function markers (Urea and Creatinine) were recorded. Descriptive statistics (mean, range, and standard deviation) were calculated, and bivariate associations were evaluated using Pearson’s product-moment correlation test. The mean age of participants was 60.67±10.64 years, with a mean eGFR of 73.90±25.24 mL/min/1.73 m², reflecting a mild reduction in renal function. Bivariate analysis demonstrated significant negative correlations between eGFR and age (r = -0.443, p < 0.001), urea (r = -0.695, p < 0.001), creatinine (r = -0.605, p < 0.001), and triglycerides (r = -0.114, p = 0.042). In contrast, eGFR correlated positively with HDL (r = 0.114, p = 0.042) and HbA1c (r = 0.171, p = 0.014). No statistically significant associations were observed for total cholesterol or LDL. Deterioration of renal function in this cohort is strongly linked to aging and metabolic disturbances. The positive correlation with HbA1c suggests early-stage glomerular hyperfiltration in diabetic patients. These results highlight the critical need for early metabolic intervention and periodic renal assessment, particularly among elderly and diabetic populations.

 

Keywords:

Aging Chronic Kidney Disease eGFR Glomerular Hyperfiltration HbA1c Lipid Profile

References

Alicic, R. Z., Rooney, M. T., & Tuttle, K. R. (2017). Diabetic Kidney Disease: Challenges, Progress, and Possibilities. Clinical Journal of the American Society of Nephrology : CJASN, 12(12), 2032–2045. https://doi.org/10.2215/CJN.11491116

Anders, H.-J., Huber, T. B., Isermann, B., & Schiffer, M. (2018). CKD in diabetes: diabetic kidney disease versus nondiabetic kidney disease. Nature Reviews. Nephrology, 14(6), 361–377. https://doi.org/10.1038/s41581-018-0001-y

Bakris, G. L., Agarwal, R., Anker, S. D., Pitt, B., Ruilope, L. M., Rossing, P., Kolkhof, P., Nowack, C., Schloemer, P., Joseph, A., & Filippatos, G. (2020). Effect of Finerenone on Chronic Kidney Disease Outcomes in Type 2 Diabetes. The New England Journal of Medicine, 383(23), 2219–2229. https://doi.org/10.1056/NEJMoa2025845

Bikbov, B., Purcell, C. A., Levey, A. S., Smith, M., Abdoli, A., Abebe, M., Adebayo, O. M., Afarideh, M., Agarwal, S. K., Agudelo-Botero, M., Ahmadian, E., Al-Aly, Z., Alipour, V., Almasi-Hashiani, A., Al-Raddadi, R. M., Alvis-Guzman, N., Amini, S., Andrei, T., Andrei, C. L., … Vos, T. (2020). Global, regional, and national burden of chronic kidney disease, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017. The Lancet, 395(10225), 709–733. https://doi.org/10.1016/S0140-6736(20)30045-3

Bjornstad, P., Cherney, D., & Maahs, D. M. (2014). Early diabetic nephropathy in type 1 diabetes: New insights. Current Opinion in Endocrinology, Diabetes and Obesity, 21(4), 279–286. https://doi.org/10.1097/MED.0000000000000074

Bulbul, M. C., Dagel, T., Afsar, B., Ulusu, N. N., Kuwabara, M., Covic, A., & Kanbay, M. (2018). Disorders of Lipid Metabolism in Chronic Kidney Disease. Blood Purification, 46(2), 144–152. https://doi.org/10.1159/000488816

Dahlan, M. S. (2014). Statistik untuk kedokteran dan kesehatan: Deskriptif, bivariat, dan multivariat (Edisi 6). Epidemiologi Indonesia.

Delanaye, P., Jager, K. J., Bökenkamp, A., Christensson, A., Dubourg, L., Eriksen, B. O., Gaillard, F., Gambaro, G., van der Giet, M., Glassock, R. J., Indridason, O. S., van Londen, M., Mariat, C., Melsom, T., Moranne, O., Nordin, G., Palsson, R., Pottel, H., Rule, A. D., … van den Brand, J. A. J. G. (2019). CKD: A Call for an Age-Adapted Definition. Journal of the American Society of Nephrology : JASN, 30(10), 1785–1805. https://doi.org/10.1681/ASN.2019030238

Du, X.-G., & Ruan, X.-Z. (2019). Lipid Metabolism Disorder and Renal Fibrosis. Advances in Experimental Medicine and Biology, 1165, 525–541. https://doi.org/10.1007/978-981-13-8871-2_26

Fang, Y., Gong, A. Y., & Haller, S. T. (2020). The aging kidney: Molecular mechanisms and clinical implications. Frontiers in Medicine, 7, 584599. https://doi.org/10.1016/j.arr.2020.101151

Glassock, R. J., & Rule, A. D. (2016). Aging and the kidneys: Anatomy, physiology and consequences for defining chronic kidney disease. Nephrology Dialysis Transplantation, 31(4), 548–557. https://doi.org/10.1159/000445450

Han, Y.-Z., Du, B.-X., Zhu, X.-Y., Wang, Y.-Z.-Y., Zheng, H.-J., & Liu, W.-J. (2024). Lipid metabolism disorder in diabetic kidney disease. Frontiers in Endocrinology, Volume 15. https://www.frontiersin.org/journals/endocrinology/articles/10.3389/fendo.2024.1336402

Heerspink, H. J. L., Stefansson, B. V, Correa-Rotter, R., Chertow, G. M., Greene, T., Hou, F.-F., Mann, J. F. E., McMurray, J. J. V, Lindberg, M., Rossing, P., Sjostrom, C. D., Toto, R. D., Langkilde, A.-M., & Wheeler, D. C. (2020). Dapagliflozin in Patients with Chronic Kidney Disease. New England Journal of Medicine, 383(15), 1436–1446. https://doi.org/10.1056/NEJMoa2024816

Inker, L. A., Eneanya, N. D., Coresh, J., Tighiouart, H., Wang, D., Sang, Y., Crews, D. C., Doria, A., Estrella, M. M., Froissart, M., Grams, M. E., Greene, T., Grubb, A., Gudnason, V., Gutiérrez, O. M., Kalil, R., Karger, A. B., Mauer, M., Navis, G., … Levey, A. S. (2021). New Creatinine- and Cystatin C–Based Equations to Estimate GFR without Race. New England Journal of Medicine, 385(19), 1737–1749. https://doi.org/10.1056/NEJMoa2102953

KDIGO 2024 Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease. (2024). Kidney International, 105(4S), S117–S314. https://doi.org/10.1016/j.kint.2023.10.018

KEMENKES, B. (2023). SKI 2023 Dalam Angka. In Kementerian Kesehatan Republik Indonesia. https://www.badankebijakan.kemkes.go.id/ski-2023-dalam-angka/

Levey, A. S., Inker, L. A., & Coresh, J. (2015). GFR estimation: From physiology to public health. American Journal of Kidney Diseases, 63(5), 820–834. https://doi.org/10.1053/j.ajkd.2013.12.006

Levey, A. S., Stevens, L. A., Schmid, C. H., Zhang, Y. L., Castro, A. F. 3rd, Feldman, H. I., Kusek, J. W., Eggers, P., Van Lente, F., Greene, T., & Coresh, J. (2009). A new equation to estimate glomerular filtration rate. Annals of Internal Medicine, 150(9), 604–612. https://doi.org/10.7326/0003-4819-150-9-200905050-00006

Moriconi, D., Sacchetta, L., Chiriacò, M., Nesti, L., Forotti, G., Natali, A., Solini, A., & Tricò, D. (2023). Glomerular Hyperfiltration Predicts Kidney Function Decline and Mortality in Type 1 and Type 2 Diabetes: A 21-Year Longitudinal Study. Diabetes Care, 46(4), 845–853. https://doi.org/10.2337/dc22-2003

Perkovic, V., Jardine, M. J., Neal, B., Bompoint, S., Heerspink, H. J. L., Charytan, D. M., Edwards, R., Agarwal, R., Bakris, G., Bull, S., Cannon, C. P., Capuano, G., Chu, P.-L., de Zeeuw, D., Greene, T., Levin, A., Pollock, C., Wheeler, D. C., Yavin, Y., … Mahaffey, K. W. (2019). Canagliflozin and Renal Outcomes in Type 2 Diabetes and Nephropathy. New England Journal of Medicine, 380(24), 2295–2306. https://doi.org/10.1056/NEJMoa1811744

Saeedi, P., Petersohn, I., Salpea, P., & Malanda, B. (2019). Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045. Diabetes Research and Clinical Practice, 157, 107843. https://doi.org/10.1016/j.diabres.2019.107843

Sastroasmoro, S., & Ismael, S. (2014). Dasar-dasar metodologi penelitian klinis (Edisi ke-5). Sagung Seto.

Selby, N. M., & Taal, M. W. (2020). An updated overview of diabetic nephropathy: Diagnosis, prognosis, treatment goals and latest guidelines. Diabetes, Obesity and Metabolism, 22(S1), 3–15. https://doi.org/10.1111/dom.14007

Tonneijck, L., Muskiet, M. H. A., Smits, M. M., van Bommel, E. J., Heerspink, H. J. L., van Raalte, D. H., & Joles, J. A. (2017). Glomerular Hyperfiltration in Diabetes: Mechanisms, Clinical Significance, and Treatment. Journal of the American Society of Nephrology : JASN, 28(4), 1023–1039. https://doi.org/10.1681/ASN.2016060666

Toyama, T., Kitagawa, K., Oshima, M., Kitajima, S., Hara, A., Iwata, Y., Sakai, N., Shimizu, M., Hashiba, A., Furuichi, K., & Wada, T. (2020). Age differences in the relationships between risk factors and loss of kidney function: a general population cohort study. BMC Nephrology, 21(1), 477. https://doi.org/10.1186/s12882-020-02121-z

Vaziri, N. D. (2016). Disorders of lipid metabolism in nephrotic syndrome: mechanisms and consequences. Kidney International, 90(1), 41–52. https://doi.org/10.1016/j.kint.2016.02.026

World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. (2013). JAMA, 310(20), 2191–2194. https://doi.org/10.1001/jama.2013.281053

Author Biographies

Tasrif Ahmad, Sekolah Tinggi Ilmu Kesehatan Nasional

Author Origin : Indonesia

Yosepin Galuh Sekar Khinanti, Sekolah Tinggi Ilmu Kesehatan Nasional

Author Origin : Indonesia

Debora Natasya Yusup, Sekolah Tinggi Ilmu Kesehatan Nasional

Author Origin : Indonesia

Aulisa Siska Nabila, Sekolah Tinggi Ilmu Kesehatan Nasional

Author Origin : Indonesia

Dewi Nurjanah Jaya Saputri, Sekolah Tinggi Ilmu Kesehatan Nasional

Author Origin : Indonesia

Lutfi Kurniawati, Sekolah Tinggi Ilmu Kesehatan Nasional

Author Origin : Indonesia

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How to Cite

Ahmad, T., Khinanti, Y. G. S., Yusup, D. N., Nabila, A. S., Saputri, D. N. J., & Kurniawati, L. (2026). A Clinical Evaluation of Age and Metabolic Factors Affecting the Estimated Glomerular Filtration Rate. Jurnal Biologi Tropis, 26(3), 1341–1348. https://doi.org/10.29303/jbt.v26i3.12142

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