Hubungan Kadar Hemoglobin Terglikosilasi (HbA1c) dengan Estimasi Laju Filtrasi Glomerulus (eLFG) Pasien DM Tipe II di Fasilitas Kesehatan Tingkat Pertama

Relationship between Glycosylated Haemoglobin (HbA1c) Levels with Estimated Glomerular Filtration Rate (eGFR) in Type II DM Patients in Primary Health Care Facilities

Authors

Keywords:

eLFG, HbA1c, Diabetes melitus tipe II

Abstract

Diabetes melitus (DM) tipe II merupakan penyakit metabolik yang prevalensinya semakin meningkat dan dapat menimbulkan komplikasi jangka panjang, salah satunya berupa penyakit ginjal diabetik ditandai penurunan estimasi laju filtrasi glomerulus (eLFG). Fasilitas Kesehatan Tingkat Pertama (FKTP) diharapkan dapat mengelola penyakit kronis seperti DM tipe II, sehingga meminimalkan komplikasi mikrovaskular maupun makrovaskular sejak dini. Penelitian ini bertujuan untuk mengetahui hubungan kadar HbA1c dengan eLFG pasien DM tipe II di FKTP. Penelitian ini merupakan studi analitik korelatif cross-sectional, mengumpulkan data rekam medis 64 pasien DM tipe II yang terdaftar Prolanis (program pengelolaan penyakit kronis) salah satu FKTP di Samarinda. Analisis menggunakan uji pearson. Hasil penelitian didapatkan 64 subjek yang diperiksa, rerata usia 58,45 tahun, terdiri atas 26 laki laki (40,6%) dan 38 perempuan (59,4%). Rerata kadar HbA1c 7,6%, sedangkan rerata eLFG 60,04 mL/min/1.73m2. kesimpulan penelitian ini terdapat hubungan signifikan antara kadar HbA1c dengan eLFG berupa korelasi negatif (r=-0,404; p=0,001). Sehingga, diperlukan strategi pengelolaan DM tipe II yang optimal dari FKTP untuk meminimalkan komplikasi jangka Panjang.

References

[1] PERKENI, Konsensus Pengelolaan dan Pencegahan Diabetes Melitus Tipe 2 di Indonesia. Jakarta, 2015.

[2] Kementerian Kesehatan Republik Indonesia, “Hasil Utama RISKESDAS 2018,” Jakarta, 2018.

[3] S. I. Sherwani, H. A. Khan, A. Ekhzaimy, A. Masood, and M. K. Sakharkar, “Significance of HbA1c test in diagnosis and prognosis of diabetic patients,” Biomarker Insights, vol. 11. Libertas Academica Ltd., pp. 95–104, Jul. 03, 2016, doi: 10.4137/Bmi.s38440.

[4] E. Harie Satria, E. Decroli, and A. Afriwardi, “Faktor risiko pasien nefropati diabetik yang dirawat di bagian penyakit dalam RSUP dr. M. Djamil Padang,” J. Kesehat. Andalas, vol. 7, no. 2, p. 149, Jun. 2018, doi: 10.25077/jka.v7i2.794.

[5] K. Umanath and J. B. Lewis, “Update on Diabetic Nephropathy: Core Curriculum 2018,” Am. J. Kidney Dis., vol. 71, no. 6, pp. 884–895, Jun. 2018, doi: 10.1053/j.ajkd.2017.10.026.

[6] R. J. MacIsaac, G. Jerums, and E. I. Ekinci, “Effects of glycaemic management on diabetic kidney disease,” World J. Diabetes, vol. 8, no. 5, p. 172, 2017, doi: 10.4239/wjd.v8.i5.172.

[7] A. S. Levey and L. A. Inker, “GFR as the ‘gold Standard’: Estimated, Measured, and True,” American Journal of Kidney Diseases, vol. 67, no. 1. W.B. Saunders, pp. 9–12, Jan. 01, 2016, doi: 10.1053/j.ajkd.2015.09.014.

[8] A. Schwandt et al., “Comparison of MDRD, CKD-EPI, and Cockcroft-Gault equation in relation to measured glomerular filtration rate among a large cohort with diabetes,” J. Diabetes Complications, vol. 31, no. 9, pp. 1376–1383, Sep. 2017, doi: 10.1016/j.jdiacomp.2017.06.016.

[9] C. Burballa et al., “MDRD or CKD-EPI for glomerular filtration rate estimation in living kidney donors,” Nefrologia, vol. 38, no. 2, pp. 207–212, Mar. 2018, doi: 10.1016/j.nefroe.2017.02.012.

[10] S. Yuliyanti and Ratnawati, “Potrait of Health BPJS Implementation at Primary Care in Semarang City,” Mar. 2016. doi: 10.22146/JKKI.V5I1.36079.

[11] R. Ariana, C. W. M. Sari, and T. Kurniawan, “Perception of Prolanis Participants About Chronic Disease Management Program Activities (PROLANIS) in the Primary Health Service Universitas Padjadjaran,” NurseLine J., vol. 4, no. 2, p. 103, Feb. 2020, doi: 10.19184/nlj.v4i2.12687.

[12] A. T. Sugondo, D. Ardiany, D. Nuswantoro, and P. B. Notopuro, “Relationship between HbA1c Levels with eGFR and Blood Pressure in Type 2 Diabetes Mellitus Patients in the Department of Internal Medicine Dr. Soetomo General Hospital Surabaya,” Biomol. Heal. Sci. J., vol. 2, no. 2, p. 117, Oct. 2019, doi: 10.20473/bhsj.v2i2.14956.

[13] D. Asiimwe, G. O. Mauti, and R. Kiconco, “Prevalence and Risk Factors Associated with Type 2 Diabetes in Elderly Patients Aged 45-80 Years at Kanungu District,” J. Diabetes Res., vol. 2020, 2020, doi: 10.1155/2020/5152146.

[14] N. H. Cho et al., “IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045,” Diabetes Res. Clin. Pract., vol. 138, pp. 271–281, Apr. 2018, doi: 10.1016/j.diabres.2018.02.023.

[15] A. D. Association, “6. Glycemic targets,” Diabetes Care, vol. 38, no. Supplement 1, pp. S33–S40, Jan. 2015, doi: 10.2337/dc15-S009.

[16] V. Sivasubramanian, K. Jetty, and S. S. Kumar, “Correlation of HbA1c with urinary ACR, serum creatinine and eGFR in type-2 diabetes mellitus at Puducherry, South India,” Int. J. Res. Med. Sci., vol. 7, no. 5, p. 1924, Apr. 2019, doi: 10.18203/2320-6012.ijrms20191702.

[17] S. Prabhu, Y. Pawade, R. Dhamnaskar, and R. Karamchandani, “Association of HbA1c with Kidney Dysfunction in Diabetes Mellitus and Cardiovascular Diseases,” 2016.

[18] A. Ceriello et al., “Variability in HbA1c, blood pressure, lipid parameters and serum uric acid, and risk of development of chronic kidney disease in type 2 diabetes,” Diabetes, Obes. Metab., vol. 19, no. 11, pp. 1570–1578, Nov. 2017, doi: 10.1111/dom.12976.

[19] D. P. Kaufman and S. J. Knohl, Physiology, Glomerular Filtration Rate (GFR). StatPearls Publishing, 2018.

[20] C. L. Lee et al., “Dynamic and dual effects of glycated hemoglobin on estimated glomerular filtration rate in type 2 diabetic outpatients,” Am. J. Nephrol., vol. 38, no. 1, pp. 19–26, Jul. 2013, doi: 10.1159/000351803.

[21] R. Z. Alicic, M. T. Rooney, and K. R. Tuttle, “Diabetic kidney disease: Challenges, progress, and possibilities,” Clin. J. Am. Soc. Nephrol., vol. 12, no. 12, pp. 2032–2045, Dec. 2017, doi: 10.2215/CJN.11491116.

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Published

2021-08-31

Issue

Vol. 3 No. 4 (2021): J. Sains Kes.

Section

Articles

How to Cite

[1]
B. Rachma and A. Widyastuti, “Hubungan Kadar Hemoglobin Terglikosilasi (HbA1c) dengan Estimasi Laju Filtrasi Glomerulus (eLFG) Pasien DM Tipe II di Fasilitas Kesehatan Tingkat Pertama: Relationship between Glycosylated Haemoglobin (HbA1c) Levels with Estimated Glomerular Filtration Rate (eGFR) in Type II DM Patients in Primary Health Care Facilities”, J. Sains. Kes, vol. 3, no. 4, pp. 390–395, Aug. 2021, Accessed: Sep. 22, 2025. [Online]. Available: https://jsk.ff.unmul.ac.id/index.php/JSK/article/view/256

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