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      The relatively poor correlation between random and 24-hour urine protein excretion in patients with biopsy-proven glomerular diseases

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          Abstract

          Random urine protein creatinine ratios are used to estimate 24-hour urine protein excretion which is considered a diagnostic gold standard. However, few studies are available of the sensitivity and specificity of this estimation in patients with glomerular proteinuria. To clarify this, we measured the urine protein and creatinine centrally in random and 24-hour urine collections at biopsy and longitudinally every 6 months in individuals participating in the Nephrotic Syndrome Study Network (NEPTUNE) cohort with glomerular disease. In the initial developmental cohort, 302 patients had same day random and 24-hour samples with a total of 827 paired measurements across all visits. The protein excretion (g/day) was higher in adult than pediatric patients. The correlation between the random urine protein creatinine ratio and 24-hour urine protein excretion was moderate in both groups (r of 0.60 and 0.67, respectively). However, the Log10 transformation of values strengthened correlations in both groups (r of 0.85 and 0.82, respectively). Associations were moderately stronger among obese patients. Prediction equations were developed and validated in 232 unique cases from NEPTUNE (R 2 of 0.65). Thus, in patients with glomerular disease and proteinuria, the urine protein creatinine ratio correlates only moderately with 24-hour urine protein excretion. However an estimating equation was developed to derive 24-hour urine protein excretion from random urine protein creatinine ratio values with improved precision. The long term prognostic value of Log10 transformed random protein creatinine ratios values requires future study.

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          Author and article information

          Journal
          0323470
          5428
          Kidney Int
          Kidney Int.
          Kidney international
          0085-2538
          1523-1755
          12 July 2016
          12 August 2016
          November 2016
          01 November 2017
          : 90
          : 5
          : 1080-1089
          Affiliations
          [1 ]Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN
          [2 ]Division of Nephrology, Department of Medicine, University of Toronto, Toronto, ON, Canada
          [3 ]Division of Nephrology and Kidney Research Institute, Department of Medicine, Washington Medical Center, Seattle, WA
          [4 ]Division of Nephrology and Hypertension, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA
          [5 ]Division of Nephrology, Department of Medicine, Columbia University, New York, NY
          [6 ]Division of Nephrology, Department of Pediatrics and Communicable Diseases, University of Michigan, Ann Arbor, MI
          [7 ]Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI
          [8 ]Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
          Author notes
          Corresponding author: John Lieske, M.D., Mayo Clinic, 200 First Street SW, Rochester, MN 55905, Phone: 507-266-7960, Fax: 507-266-7891, lieske.john@ 123456mayo.edu
          [*]

          Joint first co- author

          Article
          PMC5065749 PMC5065749 5065749 nihpa801138
          10.1016/j.kint.2016.06.020
          5065749
          27528553
          ba6f0040-ecae-407a-8a39-809a6a75e245
          History
          Categories
          Article

          nephrotic syndrome,proteinuria,glomerulonephritis,albuminuria,focal segmental glomerulosclerosis

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