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Verification of the Reliability of an Automated Urine Test Strip Colorimetric Program Using Colorimetric Analysis:
Keigo Inagaki1, Daisuke Tsuriya2, Takuya Hashimoto2
1Clinical Nursing, Gerontological Nursing, Faculty of Nursing, Hamamatsu University School of Medicine, 1-20-1 Handayama, Chuo-ku, Hamamatsu city, Shizuoka, 431-3192, Japan, 81 053 435 2511.
An automated urine test strip program offers objective assessment, improving home-based microalbumin testing accuracy. This technology aids early detection of diabetic nephropathy, potentially preventing severe complications.
Area of Science:
- Medical Diagnostics
- Biomedical Engineering
- Urology
Background:
- Visual assessment of urine test strips is subjective and prone to errors from environmental and human factors.
- Objective assessment of urine test strips is needed for reliable noninvasive urinary microalbumin testing.
Purpose of the Study:
- To develop an automated urine test strip colorimetric program for objective assessment.
- To validate the program's reliability against automatic urine analyzers.
- To assess the program's sensitivity and specificity for microalbuminuria screening.
Main Methods:
- An automated urine test strip colorimetric program was developed using Accelerated KAZE and CIEDE2000 color difference formula.
- Images of urine test strips were captured in a controlled photography box using a smartphone camera.
- The program's performance was evaluated by comparing its results with those from automatic urine analyzers.
Main Results:
- The program achieved an average agreement rate of 78.6% for 12 urine test strip items compared to automatic analyzers.
- An average agreement rate of 95.4% within ±1 rank was observed for the 12 items.
- For albumin detection, the program showed 100% sensitivity and 58.6% specificity, with a satisfactory area under the curve (0.907).
Conclusions:
- The developed program provides objective urine test strip determination without calibration in a controlled environment.
- Home-based use of this program for urinary microalbumin testing could facilitate early detection and treatment of diabetic nephropathy.
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