Correlation between HbA1c and TG/HDL Ratio with eGFR in Type 2 Diabetes Mellitus Patients in Risa Sentra Medika Hospital Mataram
DOI:
10.29303/jbt.v26i3.12284Published:
2026-08-04Downloads
Abstract
One of the main causes of declining kidney function is type 2 diabetes mellitus (DM2), which is typified by a drop in the estimated glomerular filtration rate (eGFR). The triglyceride-to-HDL (TG/HDL) ratio indicates atherogenic dyslipidemia, which contributes to the development of diabetic nephropathy, whereas HbA1c represents long-term glycemic management. This study aimed to analyze the correlation between HbA1c and TG/HDL ratio with eGFR in DM2 patients in Mataram. A cross-sectional analytical study was conducted involving 56 patients at Risa Sentra Medika Hospital from Juli to Desember 2025. Laboratory data were used to gather information on HbA1c, triglycerides, HDL, serum creatinine, and eGFR. The correlation between the variables was evaluated using regression analysis and Pearson correlation. The eGFR was 78.37 ml/min/1.73 m², the TG/HDL ratio was 5.84, and the mean HbA1c was 9.21%. The TG/HDL ratio had a very weak positive connection with eGFR (r = 0.143), but HbA1c had a very poor negative correlation (r = -0.037). According to regression analysis, neither variable was statistically significant (p>0.05) and only explained 2.2% of the variation in eGFR (R2 = 0.022). among conclusion, among patients with DM2, there was no discernible relationship between HbA1c and the TG/HDL ratio with eGFR.
Keywords:
Diabetes mellitus eGFR HbA1c Kidney function TG/HDL ratioReferences
An, L., Yu, Q., Chen, L., Tang, H., Liu, Y., Yuan, Q., ... & Lu, J. (2022). The association between the decline of eGFR and a reduction of hemoglobin A1c in type 2 diabetic patients. Frontiers in endocrinology, 12, 723720. https://doi.org/10.3389/fendo.2021.723720
Batista, T. M., Haider, N., & Kahn, C. R. (2021). Defining the underlying defect in insulin action in type 2 diabetes. Diabetologia, 64(5), 994–1006. https://doi.org/10.1007/s00125-021-05415-5
Chaudhuri, A., Ghanim, H., & Arora, P. (2022). Improving the residual risk of renal and cardiovascular outcomes in diabetic kidney disease: A review of pathophysiology, mechanisms, and evidence from recent trials. Diabetes, obesity & metabolism, 24(3), 365–376. https://doi.org/10.1111/dom.14601
Chen, Y., Fan, Z., Wang, Y., Liu Y., Zhang Y., (2022). Triglyceride to high-density lipoprotein cholesterol ratio and cardiovascular events in the general population: A systematic review and meta-analysis of cohort studies. Nutrition, Metabolism and Cardiovascular Diseases, 32(2), 318–329. https://doi.org/10.1016/j.numecd.2021.11.005
Cusumano, A. M., Tzanno-Martins, C., & Rosa- Diez, G. J. (2021). The Glomerular Filtration Rate: From the Diagnosis of Kidney Function to a Public Health Tool. Frontiers in medicine, 8, 769335. https://doi.org/10.3389/fmed.2021.769335
Eyth, E., Zubair, M., & Naik, R. (2025, June 2). Hemoglobin A1C. In StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing. Retrieved from https://www.ncbi.nlm.nih.gov/sites/books/NBK549816/
Galicia-Garcia, U., et al. (2020). Pathophysiology of Type 2 Diabetes Mellitus. International journal of molecular sciences, 21(17), 6275. https://doi.org/10.3390/ijms21176275
Guan, M., Cui, S., Song, H., Hu, H., & Hu, B. (2025). Association between the triglyceride to high-density lipoprotein cholesterol ratio and diabetes mellitus likelihood in patients with chronic kidney disease. BMC nephrology, 26(1), 470. https://doi.org/10.1186/s12882-025-04377-9
International Diabetes Federation. (2025). IDF Diabetes Atlas (11th ed.). Brussels, Belgium: International Diabetes Federation. Diakses dari https://diabetesatlas.org
Jabeen, W. M., Jahangir, B., Khilji, S., & Aslam, A. (2023). Association of triglyceride glucose index and triglyceride HDL ratio with glucose levels, microvascular and macrovascular complications in diabetes mellitus type 2. Pakistan Journal of Medical Sciences, 39(5), 1274–1279. https://doi.org/10.12669/pjms.39.5.7389
Johnson, J. D. (2021). On the causal relationships
between hyperinsulinaemia, insulin resistance, obesity and dysglycaemia in type 2 diabetes. Diabetologia, 64(10), 2138–2146. https://doi.org/10.1007/s00125-021-05505-4
Kombe, A. L., Sugeng, C. E. C., & Sedli, B. P. (2023). Korelasi Lama Menyandang Diabetes Melitus dan HbA1c dengan Estimasi Laju Filtrasi Glomerulus pada Pasien Diabetes Melitus Tipe 2. Medical Scope Journal, 4(1), 89–92. https://doi.org/10.35790/msj.v4i1.44732
Kosmas, C. E., Rodriguez Polanco, S., Bousvarou, M. D., Papakonstantinou, E. J., Peña Genao, E., Guzman, E., & Kostara, C. E. (2023). The Triglyceride/High-Density Lipoprotein Cholesterol (TG/HDL-C) Ratio as a Risk Marker for Metabolic Syndrome and Cardiovascular Disease. Diagnostics (Basel, Switzerland), 13(5), 929. https://doi.org/10.3390/diagnostics13050929
Martini Widhyasih, R., Nur Puspa Sari, R., & Mujianto, B. (2021). Korelasi Antara Kadar HbA1c Dengan Laju Filtrasi Glomerulus (LFG) Pada Pasien Diabetes Melitus. Journal of Indonesian Medical Laboratory and Science (JoIMedLabS), 2(1), 83–95. https://doi.org/10.53699/joimedlabs.v2i1.45
National Kidney Foundation. (2021). CKD-EPIcreatinine equation (2021). https://www.kidney.org/professionals/ckd-epi-creatinine-equation-2021
Noels, H., Lehrke, M., Vanholder, R., & Jankowski, J. (2021). Lipoproteins and fatty acids in chronic kidney disease: Molecular and metabolic alterations. Nature Reviews Nephrology, 17(8), 528–542. https://doi.org/10.1038/s41581-021-00423-5
Oshima, M., Shimizu, M., Yamanouchi, M., Toyama, T., Hara, A., Furuichi, K., & Wada, T. (2021). Trajectories of kidney function in diabetes: A clinicopathological update. Nature Reviews Nephrology, 17(11), 740–750. https://doi.org/10.1038/s41581-021-00462-y
Raikou, V. D., Kyriaki, D., & Gavriil, S. (2020). Triglycerides to High-Density Lipoprotein Cholesterol Ratio Predicts Chronic Renal Disease in Patients without Diabetes Mellitus (STELLA Study). Journal of cardiovascular development and disease, 7(3), Article 28. https://doi.org/10.3390/jcdd7030028
Shilpasree, A. S., Patil, V. S., Revanasiddappa, M., Patil, V. P., & Ireshnavar, D. (2021). Renal Dysfunction in Prediabetes: Confirmed by Glomerular Hyperfiltration and Albuminuria. Journal of laboratory physicians, 13(3), 257–262. https://doi.org/10.1055/s-0041-1731107
Samimagham H R, Barghak M, Jahromi M K. (2021). Association Between Serum Lipid Levels And Estimated Glomerular Filtration Rate In Type 2 Diabetic Patients. Iran. J. Endocrinol. Metab; vol. 23, no. 1, pp. 45–52. DOI: 10.5254/IJKD.5387
Srinath, M., Akash, N., Siddappa, A., Madhu, B., Shashidhara, K., Ramaswamy, P. (2024). Effect of iron deficiency anemia on HbA1c levels among diabetic and nondiabetic patients. D Y Patil Journal of Health Sciences, 12(2), 51–57. https://doi.org/10.4103/DYPJ.DYPJ_53_23
Syaifuddin T.S, Fatimah, Nurjanah M.H, Kumalasari N.C, Widodo W.T. (2022). Relationship Between HbA1C and eGFR In Diabetes Mellitus (DM) Patients Following Prolanis At Ultra Medica Tulungagung Clinic Laboratory. Jurnal Biosains Pascasarjana; Vol.24SP: No.1. https://doi.org/10.20473/jbp.v24i1SP.2022.133.13-20
Tam, A. A., Altay, F. P., Demir, P., Ozdemir, D., Topaloglu, O., Ersoy, R., & Cakır, B. (2024). The association between diabetic nephropathy and triglyceride/glucose index and Triglyceride/high-density lipoprotein cholesterol ratio in patients with type 2 diabetes mellitus. Journal of Clinical Medicine, 13(22), 6954. https://doi.org/10.3390/jcm13226954
Tobe, S. W., Bajaj, H. S., Tangri, N., Jain, R., Pham, T., Beaudin, V., McFarlane, P., & Diabetes Canada Clinical Practice Guidelines Steering Committee. (2025). Chronic kidney disease in diabetes: A clinical practice guideline. Canadian Journal of Diabetes, 49(2), 73–86.e14. https://doi.org/10.1016/j.jcjd.2025.01.004
Wang, M., & Hng, T. M. (2021). HbA1c: More than just a number. Australian journal of general practice, 50(9), 628-632. https://doi.org/10.31128/AJGP-03-21-5866
Yadegar, A., Mohammadi, F., Rabizadeh, S., Ayati, A., Seyedi, S. A., Nabipoorashrafi, S. A., ... & Nakhjavani, M. (2023). Correlation between different levels and patterns of dyslipidemia and glomerular filtration rate in patients with type 2 diabetes: a cross‐sectional survey of a regional cohort. Journal of Clinical Laboratory Analysis, 37(13-14), e24954. https://doi.org/10.1002/jcla.24954
License
Copyright (c) 2026 Novianti Anggie Lestari, Ima Arum Lestarini, Yan Adhitya Kusuma
This work is licensed under a Creative Commons Attribution 4.0 International License.
Jurnal Biologi Tropis is licensed under a Creative Commons Attribution 4.0 International License.
The copyright of the received article shall be assigned to the author as the owner of the paper. The intended copyright includes the right to publish the article in various forms (including reprints). The journal maintains the publishing rights to the published articles.
Authors are permitted to disseminate published articles by sharing the link/DOI of the article at the journal. Authors are allowed to use their articles for any legal purposes deemed necessary without written permission from the journal with an acknowledgment of initial publication to this journal.
