Estimasi Laju Filtrasi Glomerulus sebagai Pilar Deteksi Dini Penyakit Ginjal Kronik dalam Upaya Pencegahan Progresivitas Ginjal pada Populasi Dewasa

Authors

  • Rosadi Putra Bagian Bedah Urologi, Fakultas Kedokteran, Universitas Tarumanagara
  • Alexander Halim Santoso Fakultas Kedokteran Universitas Tarumanagara

DOI:

https://doi.org/10.69930/scitec.v3i2.795

Keywords:

eGFR; Fungsi Ginjal; Kreatinin; PDCA; Skrining Komunitas

Abstract

Penurunan fungsi ginjal merupakan kondisi yang sering berlangsung secara subklinis dan tidak terdeteksi pada populasi dewasa, meskipun memiliki potensi berkembang menjadi penyakit ginjal kronis dengan dampak signifikan terhadap morbiditas dan mortalitas. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk melakukan deteksi dini gangguan fungsi ginjal melalui skrining berbasis komunitas menggunakan pendekatan Plan–Do–Check–Act (PDCA). Pemeriksaan dilakukan dengan mengukur kadar kreatinin serum dan menghitung estimasi laju filtrasi glomerulus (eGFR) sebagai indikator fungsi ginjal yang lebih sensitif. Sebanyak 109 partisipan dewasa terlibat dalam kegiatan ini, dengan rerata usia 42,81±13,55 tahun dan dominasi perempuan (67,9%). Rerata kadar kreatinin sebesar 0,98±0,20 mg/dL masih berada dalam kisaran normal. Namun demikian, rerata eGFR sebesar 79,16±22,15 mL/menit menunjukkan adanya variasi fungsi ginjal yang cukup luas antarindividu. Secara kategorikal, hanya 28,4% partisipan memiliki fungsi ginjal normal, sementara sebagian besar menunjukkan penurunan fungsi ginjal ringan (49,5%) dan penurunan sedang (22%), tanpa ditemukan kasus penurunan berat maupun gagal ginjal. Analisis distribusi menunjukkan variasi nilai eGFR berdasarkan jenis kelamin, dengan kecenderungan nilai yang lebih rendah dan distribusi yang lebih luas pada perempuan. Temuan ini menunjukkan bahwa gangguan fungsi ginjal dapat terjadi pada populasi yang secara klinis tampak sehat dan tidak selalu terdeteksi melalui parameter kreatinin saja. Oleh karena itu, skrining fungsi ginjal berbasis komunitas dengan pendekatan PDCA terbukti efektif dalam mendeteksi perubahan fungsi ginjal secara dini. Integrasi kegiatan ini dengan edukasi kesehatan dan intervensi promotif-preventif menjadi penting untuk mencegah progresivitas penyakit ginjal dan meningkatkan kualitas hidup masyarakat.

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References

Alfego, D., Ennis, J., Gillespie, B., Lewis, M. J., Montgomery, E., Ferrè, S., Vassalotti, J. A., & Letovsky, S. (2021). Chronic Kidney Disease Testing Among At-Risk Adults in the U.S. Remains Low: Real-World Evidence From a National Laboratory Database. Diabetes Care, 44(9), 2025–2032. https://doi.org/10.2337/dc21-0723

Bochud, M. (2015). On the rationale of population screening for chronic kidney disease: a public health perspective. Public Health Reviews, 36(1), 11. https://doi.org/10.1186/s40985-015-0009-9

Cusumano, A. M., Rosa Diez, G., & Tzanno-Martins, C. (2023). Editorial: Glomerular filtration rate in Chronic Kidney Disease. Frontiers in Medicine, 9. https://doi.org/10.3389/fmed.2022.1105384

Dawson, J., & Jardine, M. (2025). Re‐thinking kidney function: a new approach to kidney function estimation and the identification of chronic kidney disease. Medical Journal of Australia, 222(2), 72–73. https://doi.org/10.5694/mja2.52560

Fattah, H., Layton, A., & Vallon, V. (2019). How Do Kidneys Adapt to a Deficit or Loss in Nephron Number? Physiology, 34(3), 189–197. https://doi.org/10.1152/physiol.00052.2018

Francis, A., Harhay, M. N., Ong, A. C. M., Tummalapalli, S. L., Ortiz, A., Fogo, A. B., Fliser, D., Roy-Chaudhury, P., Fontana, M., Nangaku, M., Wanner, C., Malik, C., Hradsky, A., Adu, D., Bavanandan, S., Cusumano, A., Sola, L., Ulasi, I., & Jha, V. (2024). Chronic kidney disease and the global public health agenda: an international consensus. Nature Reviews Nephrology, 20(7), 473–485. https://doi.org/10.1038/s41581-024-00820-6

Groothof, D., Post, A., Polinder‐Bos, H. A., Erler, N. S., Flores‐Guerrero, J. L., Kootstra‐Ros, J. E., Pol, R. A., de Borst, M. H., Gansevoort, R. T., Gans, R. O. B., Kremer, D., Kieneker, L. M., Bano, A., Muka, T., Franco, O. H., & Bakker, S. J. L. (2022). Muscle mass and estimates of renal function: a longitudinal cohort study. Journal of Cachexia, Sarcopenia and Muscle, 13(4), 2031–2043. https://doi.org/10.1002/jcsm.12969

Hidayangsih, P. S., Tjandrarini, D. H., Sukoco, N. E. W., Sitorus, N., Dharmayanti, I., & Ahmadi, F. (2023). Chronic kidney disease in Indonesia: evidence from a national health survey. Osong Public Health and Research Perspectives, 14(1), 23–30. https://doi.org/10.24171/j.phrp.2022.0290

Jadoul, M., Aoun, M., & Masimango Imani, M. (2024). The major global burden of chronic kidney disease. The Lancet Global Health, 12(3), e342–e343. https://doi.org/10.1016/S2214-109X(24)00050-0

Jairoun, A. A., Al-Hemyari, S. S., Shahwan, M., Zyoud, S. H., & El-Dahiyat, F. (2024). Community pharmacist-led point-of-care eGFR screening: early detection of chronic kidney disease in high-risk patients. Scientific Reports, 14(1), 7284. https://doi.org/10.1038/s41598-024-56765-0

Kovesdy, C. P. (2022). Epidemiology of chronic kidney disease: an update 2022. Kidney International Supplements, 12(1), 7–11. https://doi.org/10.1016/j.kisu.2021.11.003

Liyanage, T., Toyama, T., Hockham, C., Ninomiya, T., Perkovic, V., Woodward, M., Fukagawa, M., Matsushita, K., Praditpornsilpa, K., Hooi, L. S., Iseki, K., Lin, M.-Y., Stirnadel-Farrant, H. A., Jha, V., & Jun, M. (2022). Prevalence of chronic kidney disease in Asia: a systematic review and analysis. BMJ Global Health, 7(1), e007525. https://doi.org/10.1136/bmjgh-2021-007525

Mano, D., Ezra, P. J., Marcella, A., & Firmansyah, Y. (2023). Kegiatan pengabdian masyarakat dalam rangka edukasi masyarakat terhadap hipertensi serta deteksi dini penyakit gagal ginjal sebagai komplikasi dari hipertensi. J. Pengabdi. Masy. Indones, 2(2), 34–45.

Masrouri, S., Alijanzadeh, D., Amiri, M., Azizi, F., & Hadaegh, F. (2023). Predictors of decline in kidney function in the general population: a decade of follow-up from the Tehran Lipid and Glucose Study. Annals of Medicine, 55(1). https://doi.org/10.1080/07853890.2023.2216020

Mathisen, U. D., Melsom, T., Ingebretsen, O. C., Jenssen, T., Njølstad, I., Solbu, M. D., Toft, I., & Eriksen, B. O. (2011). Estimated GFR Associates with Cardiovascular Risk Factors Independently of Measured GFR. Journal of the American Society of Nephrology, 22(5), 927–937. https://doi.org/10.1681/ASN.2010050479

Ohno, M., Deguchi, F., Izumi, K., Ishigaki, H., Sarui, H., Sasaki, A., Segawa, T., Yamaki, T., Kojima, T., & Ohashi, H. (2014). Correlation between Renal Function and Common Risk Factors for Chronic Kidney Disease in a Healthy Middle-Aged Population: A Prospective Observational 2-Year Study. PLoS ONE, 9(11), e113263. https://doi.org/10.1371/journal.pone.0113263

Quinn, G. Z., Abedini, A., Liu, H., Ma, Z., Cucchiara, A., Havasi, A., Hill, J., Palmer, M. B., & Susztak, K. (2021). Renal Histologic Analysis Provides Complementary Information to Kidney Function Measurement for Patients with Early Diabetic or Hypertensive Disease. Journal of the American Society of Nephrology, 32(11), 2863–2876. https://doi.org/10.1681/ASN.2021010044

Tsuji, H. (2011). Abstract 8321: Reduced Estimated Glomerular Filtration Rate Levels to Predict Mortality Depend on Presence of Hypertension or Diabetes. Circulation, 124(suppl_21). https://doi.org/10.1161/circ.124.suppl_21.A8321

Van Biesen, W., & Nagler, E. V. (2016). A Swiss army knife for estimating kidney function: why new equations will not solve the real problem. Nephrology Dialysis Transplantation, 31(5), 685–687. https://doi.org/10.1093/ndt/gfw010

van Eeghen, S. A., Nokoff, N. J., Vosters, T. G., Oosterom-Eijmael, M. J. P., Cherney, D. Z. I., van Valkengoed, I. G. M., Choi, Y. J., Pyle, L., Bjornstad, P., den Heijer, M., & van Raalte, D. H. (2025). Unraveling Sex Differences in Kidney Health and CKD. Clinical Journal of the American Society of Nephrology, 20(2), 301–310. https://doi.org/10.2215/CJN.0000000642

Wong, G., Bernier-Jean, A., Rovin, B., & Ronco, P. (2024). Time for action: recognizing chronic kidney disease as a major noncommunicable disease driver of premature mortality. Kidney International, 105(6), 1144–1146. https://doi.org/10.1016/j.kint.2024.03.020

Yim, J., Son, N.-H., Kyong, T., Park, Y., & Kim, J.-H. (2023). Muscle mass has a greater impact on serum creatinine levels in older males than in females. Heliyon, 9(11), e21866. https://doi.org/10.1016/j.heliyon.2023.e21866

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Published

2026-06-19

How to Cite

Putra, R., & Santoso, A. H. (2026). Estimasi Laju Filtrasi Glomerulus sebagai Pilar Deteksi Dini Penyakit Ginjal Kronik dalam Upaya Pencegahan Progresivitas Ginjal pada Populasi Dewasa. Science and Technology: Jurnal Pengabdian Masyarakat , 3(2), 247–255. https://doi.org/10.69930/scitec.v3i2.795

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