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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Telemedicine Journal...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Smartphone-Based Urine Reagent Strip Test in the Emergency Department

Authors: Karam, Choi; Ikwan, Chang; Jung Chan, Lee; Do Kyun, Kim; Seungwoo, Noh; Heejeong, Ahn; Jun Hwi, Cho; +3 Authors

Smartphone-Based Urine Reagent Strip Test in the Emergency Department

Abstract

Background: Although a smartphone could be used for a urine reagent strip test, few studies have reported on the reliability of the test in a clinical setting. The objective of our study was to access the smartphone-based urine reagent strip test in the clinical emergency department (ED). Materials and Methods: We developed a smartphone-based urine reagent strip reader for a rapid and accurate screening of leukocyte esterase (LE) and nitrite (NIT) in urine. The developed reader was evaluated with the clinical urine samples ( n = 81). The detection performance of the reader for LE and NIT was evaluated to assess reliability of the reader; turnaround times (TATs) for analysis and the time for the entire study procedure were also calculated to assess the efficiency of the reader. A photometric analyzer (model US-3100R Plus ® ; Eiken Chemical, Ltd., Tokyo, Japan) was used as a reference. Results: The proposed reader showed high accuracy (85.2% for LE and 97.5% for NIT), exhibiting close agreement with the true values (κ = 0.903 for LE; κ = 1.000 for NIT). The reader also exhibited a lower median TAT for analysis than the photometric analyzer (3.0 min versus 33.0 min; p < 0.001). This reduction of TAT in the reader was even more evident considering the required time for delivery of urine samples for the photometric analyzer (3.0 min versus 62.0 min; p < 0.001). Conclusions: Our results demonstrated the clinical capability of a smartphone-based urine reagent strip test, and this reader is expected to enable a more rapid and reliable colorimetric test for screening of LE and NIT at the clinical setting and the point of care.

Keywords

Adult, Aged, 80 and over, Male, Reproducibility of Results, Middle Aged, Japan, Humans, Female, Smartphone, Emergency Service, Hospital, Carboxylic Ester Hydrolases, Nitrites, Aged, Reagent Strips

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    citations
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    16
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
The total number of citations received by all articles of the researcher of interest.
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Top 10%
Top 10%
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