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Title |
Diagnostic accuracy of UACR in CKD screening among diabetics: A community study
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Authors |
Utsav Haldar1, Niranjan Gopal1,*, Anand Chellappan2, Dnyanesh Amle1, Nandeesh Kuravatti3, Neha Patel1, Jyoti E. John1 & Deepa Telgote1
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Affiliation |
1Department of Biochemistry, All India Institute of Medical Sciences, Nagpur, Maharashtra, India; 2Department of Nephrology, All India Institute of Medical Sciences, Nagpur, Maharashtra, India; 3Department of Community Medicine, All India Institute of Medical Sciences, Nagpur, Maharashtra, India; *Corresponding author
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Utsav Haldar - E-mail: utsavh07@gmail.com
Anand Chellappan - E-mail: anandchellappan@aiimsnagpur.edu.in
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Article Type |
Research Article
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Date |
Received May 1, 2026; Revised May 31, 2026; Accepted May 31, 2026, Published May 31, 2026
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Abstract |
Chronic kidney disease (CKD) is a major microvascular complication of diabetes in rural India, where access to diagnostic facilities is limited. 24-hour urine protein estimation, through the reference method is impractical for community screening. Therefore, it is of interest to evaluate the diagnostic accuracy of urinary albumin-to-creatinine ratio (UACR) for CKD screening among 201 known diabetic individuals from rural Nagpur. Elevated UACR was observed in 99% of participants, whereas 59% had abnormal 24-hour urine protein excretion. UACR demonstrated 100% sensitivity but low specificity (4%), with an overall diagnostic accuracy of 60% and a negative predictive value of 100%. UACR correlated significantly with glycaemic indices, eGFR and proteinuria and its screening utility improves when combined with serum creatinine and eGFR in resource-limited community settings. |
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Keywords |
Diabetes mellitus (DM), diabetic kidney disease (DKD), urinary albumin-to-creatinine ratio (UACR), chronic kidney disease (CKD), diagnostic accuracy, rural population
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Citation |
Haldar et al. Bioinformation 22(5): 2863-2868 (2026)
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Edited by |
P Kangueane
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ISSN |
0973-2063
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Publisher |
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License |
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
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