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Related Experiment Videos

A dipstick protein and specific gravity algorithm accurately predicts pathological proteinuria.

Marigel Constantiner1, Ashwini R Sehgal, Lisa Humbert

  • 1Center for Kidney Disease Research, Rammelkamp Center for Education and Research, Cleveland, OH, USA.

American Journal of Kidney Diseases : the Official Journal of the National Kidney Foundation
|April 30, 2005
PubMed
Summary

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Dipstick protein (DSP) and specific gravity (SG) effectively screen for chronic kidney disease, identifying patients needing further urine protein-creatinine ratio (UPC) testing. This method improves early detection of kidney disease.

Area of Science:

  • Nephrology
  • Clinical Chemistry
  • Diagnostic Medicine

Background:

  • Screening strategies for early chronic kidney disease (CKD) remain debated.
  • The urine protein-creatinine ratio (UPC) is a common screening tool.
  • Urine concentration can impact proteinuria interpretation.

Purpose of the Study:

  • To evaluate if dipstick protein (DSP) and specific gravity (SG) can effectively identify patients with elevated UPC ratios.
  • To determine if DSP and SG are sufficient for screening early CKD.
  • To develop a model for predicting the need for UPC quantification based on DSP and SG.

Main Methods:

  • A hospital database yielded 2,098 urine samples with simultaneous UPC, DSP, and SG assays.
  • A development model was created using 70% of the data and validated on the remaining 30%.

Related Experiment Videos

  • Samples were categorized using a DSP versus SG matrix to assess overt and nephrotic-range proteinuria.
  • Main Results:

    • The DSP-SG model achieved high negative predictive values (NPV) for UPC ratios ≤500 mg/g (97.0%) and ≤3,000 mg/g (99.7%).
    • Positive predictive values (PPV) for UPC ratios ≥500 mg/g were high (97.5%).
    • Validation confirmed strong performance with NPVs of 96.5% (≤500 mg/g) and 99.0% (≤3,000 mg/g), and PPV of 99.4% (≥500 mg/g).

    Conclusions:

    • DSP and SG values are effective in identifying patients who require UPC quantification.
    • A web-based tool was developed to aid in recommending proteinuria quantification based on DSP and SG.
    • This approach offers a reliable method for screening and early detection of kidney disease.