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Abstract: SA-PO838

Validation of a Smartphone-Based Proteinuria Testing Solution

Session Information

Category: CKD (Non-Dialysis)

  • 2101 CKD (Non-Dialysis): Epidemiology, Risk Factors, and Prevention

Authors

  • Go, Alan S., Kaiser Permanente Northern California, Oakland, California, United States
  • Hsu, Chi-yuan, University of California, San Francisco, San Francisco, California, United States
  • Koh, Hui-Ling, Scanwell Health, Los Angeles, California, United States
  • Chen, Stephen, Scanwell Health, Los Angeles, California, United States
  • Bozdog, Pavel, Scanwell Health, Los Angeles, California, United States
  • Horiuchi, Kate Marika, Kaiser Permanente Northern California, Oakland, California, United States
  • Boyer, Ellen Nicole, Kaiser Permanente Northern California, Oakland, California, United States
  • Tan, Thida C., Kaiser Permanente Northern California, Oakland, California, United States
Background

Proteinuria is a potent risk factor for ESRD. Guidelines recommend screening and monitoring for urinary protein in those with or at high-risk for CKD, but this involves lab or clinic procedures that contribute to undertesting. A valid smartphone-based testing solution could facilitate widespread testing.

Methods

We prospectively evaluated the feasibility and accuracy of a smartphone-based urinary protein testing platform in a sample of adults with CKD not receiving dialysis enrolled in the Chronic Renal Insufficiency Cohort (CRIC) Study at Kaiser Permanente Northern California/UCSF. The urinary protein testing solution involves a smartphone-based app combined with a color-calibration card and urinalysis dipstick (Scanwell Health, Inc.)(Figure). Participants provided a urine sample that was tested using (1) the smartphone-based testing platform and (2) Clinitek urine dipstick analyzer. Test results were reported as negative, trace, 1+, 2+ or >=3+ proteinuria.

Results

Eighty-seven participants were enrolled, with mean (SD) age 70 (9) years, 53% women, 31% black, 8% Asian, 5% Hispanic, 24% with diabetes and mean (SD) eGFR 57 (17) ml/min/1.73 m2. Based on results from the clinical Clinitek analyzer, 32 (37%) had evidence of proteinuria. The smartphone-based testing solution exactly matched the categorical result in 61% of patients, while 82% were within one category level of proteinuria compared with the Clinitek analyzer result.

Conclusion

We found a high level of concordance for a semi-quantitative smartphone-based proteinuria testing platform compared with a clinical standard within a diverse sample of adults with CKD. Our study supports the utility of a smartphone-based testing solution to expand proteinuria screening and monitoring.

Smartphone-based urinary protein testing solution

Funding

  • NIDDK Support – Scanwell Health