Clinical Interpretation of Urinalysis for Early Detection of Kidney Disorders: A Narrative Review
Abstract
Background: Chronic kidney disease (CKD) is a global health issue with a steadily increasing prevalence and often remains asymptomatic in its early stages. This silent progression contributes to delayed diagnosis and limited therapeutic options. Urinalysis is a simple, inexpensive, and noninvasive examination that remains relevant as an early screening tool to detect renal abnormalities before clinical manifestations appear. Methods: This narrative review summarizes the latest scientific evidence regarding the diagnostic value of urinalysis in the early detection of kidney disorders by highlighting the physical, chemical, and microscopic parameters of urine. Literature searches were conducted using PubMed, Scopus, and Google Scholar databases for studies published between 2020 and 2025 with the keywords urinalysis, kidney disease, early detection, uACR, and eGFR. Only English- or Indonesian-language articles relevant to the topic and containing empirical data were included. Results: Urinalysis has been shown to provide early indicators of proteinuria, hematuria, and pathological casts that reflect glomerular and tubular injury. Integration of urinalysis results with uACR and eGFR measurements, as recommended by KDIGO 2024, improves diagnostic accuracy and risk stratification. Additionally, automated digital microscopy and emerging biomarkers such as NGAL and KIM-1 show substantial potential in strengthening early detection capabilities. Discussion and Clinical Implications: Urinalysis not only serves as a screening tool but also holds prognostic value in guiding follow-up and clinical management of high-risk individuals. Proper interpretation of urinalysis findings can assist clinicians in determining the need for further assessment, initiating earlier interventions, and optimizing prevention of CKD progression. Conclusion: Urinalysis remains an essential basic examination for the early detection of kidney impairment. Its integrated application with modern laboratory parameters can enhance diagnostic effectiveness, accelerate clinical intervention, and reduce the global burden of chronic kidney disease.
References
Cockwell, P., & Fisher, L. A. The global burden of chronic kidney disease. The Lancet. 2020; 395(10225): 662–664. https://doi.org/10.1016/S0140-6736(19)32977-0
Hustrini, N. M., et al. Chronic kidney disease care in Indonesia: Challenges and opportunities. Indonesian Journal of Internal Medicine. 2023; https://distantreader.org/stacks/journals/ijim01/ijim01-2403.pdf
Kovesdy, C. P. (2022). Epidemiology of chronic kidney disease: An update 2022. Kidney International Supplements. 2022; 12(1): 7–11. https://doi.org/10.1016/j.kisu.2021.11.003
Andhika, R., Makmun, A., Supriyadi, R., Bandiara, R., Sukesi, L., Sudarmadi, A., Wahyudi, K., & Sofiatin, Y. One-year survival of end-stage kidney disease patients undergoing hemodialysis in Indonesia. International Journal of Nephrology and Renovascular Disease. 2025; 18: 87–101. https://doi.org/10.2147/IJNRD.S508012
Sanusi, R., & Hargono, R. Diabetes, hypertension, obesity, and smoking as risk factors for CKD in productive age group. Semantic Scholar. 2021; https://pdfs.semanticscholar.org/1b7a/b6c4ee167c765f46927ad6b2c20292ebe4ce.pdf
Kidney Disease: Improving Global Outcomes (KDIGO). KDIGO 2024 clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney International. 2024; 105(4S): S117–S314. https://doi.org/10.1016/j.kint.2023.10.018
August, P. Chronic kidney disease—Another step forward. The New England Journal of Medicine. 2023; 388(2): 179–180. https://doi.org/10.1056/NEJMe2215286
Delanghe, J., & Speeckaert, M. Preanalytical requirements of urinalysis. Biochemia Medica. 2014; 24(1): 89–104. https://doi.org/10.11613/BM.2014.011
National Kidney Foundation. Urine albumin-creatinine ratio (uACR). 2023; https://www.kidney.org/kidney-topics/urine-albumin-creatinine-ratio-uacr
Palmblad, J., Nilsson, A., Lindén, M., & Blomqvist, M. Applications of artificial intelligence in urinalysis: Is the future already here? Clinical Chemistry. 2024; https://doi.org/10.1093/clinchem/hvad136
Koyner, J. L., & Bonventre, J. V. (2024). Biomarkers in acute kidney injury: From discovery to the future of patient care. Critical Care Clinics, 40(1), 1–17. https://doi.org/10.1016/j.ccc.2023.12.010
van de Luijtgaarden, M. W., et al. The value of kidney injury molecule-1 (KIM-1) in predicting acute kidney injury. Journal of Translational Medicine. 2022; 20(1): 1–15. https://doi.org/10.1186/s12967-021-02776-8
Ameer, O. Z. Hypertension in chronic kidney disease: What lies behind the scene. Frontiers in Pharmacology. 2022; 13: 949260. https://doi.org/10.3389/fphar.2022.949260
Hao, X.-M., Liu, Y., ... & Liu, Q.-G. Mechanisms of inflammation modulation by different immune cells in hypertensive nephropathy. Frontiers in Immunology. 2024; 15: 1333170. https://doi.org/10.3389/fimmu.2024.1333170
Prameswari, Y. N. Polimorfisme gen Cyclooxygenase-2 dan prevalensi hipertensi masyarakat Indonesia. Jurnal Al-Azhar Indonesia Seri Sains dan Teknologi. 2025; 10(3): 250–260. https://doi.org/10.36722/sst.v10i3.4246
Cahyaningsih, S. T. Hubungan antara hiperkolesterolemia terhadap kejadian hipertensi di Klinik Pratama Mutiara Medika Kota Bekasi [Undergraduate thesis, Universitas Islam Negeri Syarif Hidayatullah Jakarta]. 2021.
Nofisah, N. L. Hubungan kadar glukosa darah dengan kejadian hipertensi di RS Syarif Hidayatullah Jakarta [Undergraduate thesis, UIN Syarif Hidayatullah Jakarta]. 2022.
Sofita, T. C. Hubungan antara hiperkolesterolemia terhadap kejadian hipertensi di Klinik Pratama Mutiara Medika Kota Bekasi [Undergraduate thesis, UIN Syarif Hidayatullah Jakarta]. 2021.
Sulistiawati, V. Hubungan kadar asam urat dengan kejadian hipertensi pada pasien dewasa dan lansia di RS Syarif Hidayatullah Jakarta [Undergraduate thesis, UIN Syarif Hidayatullah Jakarta]. 2021.
Hermawati, L., Zulfa, H. A., Irawati, N. B. U., & Diana, W. A. Hyperuricemia and hypertension: Correlation, mechanisms, and clinical implications—A literature review. MAJORIT. 2025a; 13(1): 1–9.
Darifah, S., Trisnasari, E., Yuniarti, T. E., Sugiharto, A., Wulansari, E. R., & Hermawati, L. Skrining gizi dan edukasi nutrisi untuk pencegahan masalah gizi dan metabolik komunitas e-sport. Jurnal Pembelajaran Pemberdayaan Masyarakat. 2025; 6(3): 983–992.
Hermawati, L., Irawati, N. B. U., Zulfa, H. A., & Diana, W. A.The role of balanced nutrition knowledge in influencing nutritional status and health risks: A literature review. International Journal of Medicine and Public Health. 2025b; 2(1): 1–14.
Haq, K., & Patel, D. M. Urinalysis: Interpretation and clinical correlations. Medical Clinics. 2023; 107(4): 659–679.
Gounden, V., Bhatt, H., & Jialal, I. Renal function tests. In StatPearls. StatPearls Publishing. 2025. https://www.ncbi.nlm.nih.gov/books/NBK299395/
Longhitano, E., Calabrese, V., Casuscelli, C., et al. Proteinuria and progression of renal damage: The main pathogenetic mechanisms and pharmacological approach. Medicina. 2024; 60(11): 1821. https://doi.org/10.3390/medicina60111821
Leslie, S. W., Hamawy, K., & Saleem, M. O. Gross and microscopic hematuria. In StatPearls. StatPearls Publishing. 2025; https://www.ncbi.nlm.nih.gov/books/NBK534213/
Jang, E. C., Park, Y. M., Han, H. W., Lee, C. S., Kang, E. S., & Nam, S. M. Machine-learning enhancement of urine dipstick tests for chronic kidney disease detection. JAMIA. 2023; 30(6): 1114–1124. https://doi.org/10.1093/jamia/ocad051
Kojima, C., Sakuma, H., & Tanaka, T. Sex differences in the evaluation of proteinuria using the urine dipstick test. Frontiers in Medicine. 2023; 10: 1148698. https://doi.org/10.3389/fmed.2023.1148698
Suka, M., Tanaka, A., & Yoshida, T. Efficacy of screening with dipstick urinalysis in predicting adverse kidney outcomes: A large cohort study. Clinical and Experimental Nephrology. Advance online publication. 2025; https://doi.org/10.1007/s10157-025-02703-x
Terracina, S., Monnolo, A., & D'Agostino, M. Urine dipstick analysis on automated platforms. Biomedicines. 2023; 11(4): 1174. https://doi.org/10.3390/biomedicines11041174
Tandogdu, Z., & Wagenlehner, F. M. Office-based urinalysis: A comprehensive review. American Family Physician. 2022; 106(7): 425–434.
Fadel, R., Taliercio, J. J., Daou, R., Layoun, H., Bassil, E., Fawaz, A., Arrigain, S., Schold, J. D., Herlitz, L., Simon, J. F., Mehdi, A., & Nakhoul, G. Urine sediment examination: Comparison between laboratory-performed versus nephrologist-performed microscopy and accuracy in predicting pathologic diagnosis in patients with acute kidney injury. Kidney360. 2023; 4(7): 918–923. https://doi.org/10.34067/KID.0000000000000081
Gaggar, P., & Raju, S. B. Diagnostic utility of urine microscopy in kidney diseases. Indian Journal of Nephrology. 2024; 34: 213–221. https://doi.org/10.25259/ijn_362_23
Antley, M. H., Chalmers, D., Ramanand, A., Velez, J. C. Q., Janech, M. G., & Nephrology, O. Dimensions of muddy brown granular casts and anthropometrics in patients with acute tubular injury: TH-PO134. Journal of the American Society of Nephrology: 2022; 33(11S): 87. https://doi.org/10.1681/ASN.20223311S187c
Zhang, X., Zheng, Y., Wang, Y., et al. Correlation analysis between urinary crystals and upper urinary calculi. Asian Journal of Urology: 2024; 11(4): 596–603. https://doi.org/10.1016/j.ajur.2024.04.003
Adomako, E. A., Li, X., Sakhaee, K., Moe, O. W., & Maalouf, N. M. Urine pH and citrate as predictors of calcium phosphate stone formation. Kidney360. 2023; 4(8): 1123–1129. https://doi.org/10.34067/KID.0000000000000184
Trachtman, H., Diva, U., Murphy, E., Wang, K., Inrig, J., & Komers, R. Implications of complete proteinuria remission in focal segmental glomerulosclerosis: Sparsentan DUET trial. Kidney International Reports. 2023; 8(10): 2017–2028. https://doi.org/10.1016/j.ekir.2023.07.022
Alobaidi, S. Emerging biomarkers and advanced diagnostics in chronic kidney disease: Early detection through multi-omics and AI. DiagnosticsI. 2025; 15(10): 1225. https://doi.org/10.3390/diagnostics15101225
Claudel, S. E., et al. Systematic review of urinary biomarkers KIM-1 and NGAL for detection of chronic kidney disease of uncertain etiology among agricultural communities. Kidney International Reports. 2024; 9(?): 84–95. https://doi.org/10.1016/j.ekir.2024.04.015
Copyright (c) 2025 International Journal of Cell and Biomedical Science

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.




