Assessing dehydration status in dengue patients using urine colourimetry and mobile phone technology

Background Dengue is a systemic and dynamic disease with symptoms ranging from undifferentiated fever to dengue shock syndrome. Assessment of patients' severity of dehydration is integral to appropriate care and management. Urine colour has been shown to have a high correlation with overall ass...

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Bibliographic Details
Published in:PLoS neglected tropical diseases 2020-09, Vol.14 (9), p.e0008562-e0008562
Main Authors: Chew, Natalie, Noor Azhar, Abdul Muhaimin, Bustam, Aida, Azanan, Mohamad Shafiq, Wang, Crystal, Lum, Lucy C. S
Format: Article
Language:English
Subjects:
Biology and Life Sciences
Biomarkers
Cameras
Care and treatment
Cell phones
Cellular telephones
Color
Colorimeters
Colour
Complications and side effects
Correlation
Dehydration
Dehydration (Physiology)
Dengue
Dengue fever
Dengue hemorrhagic fever
Density
Diagnosis
Ecology and Environmental Sciences
Emergency medical care
Engineering and Technology
Feasibility studies
Fever
Human diseases
Hydration
Laboratories
Light
Medicine and Health Sciences
Parameters
Patients
Pediatrics
Physical Sciences
Plasma
Regressions
Sample size
Serum
Signs and symptoms
Smartphones
Specific gravity
Symptoms
Tropical diseases
Urea
Urinalysis
Urine
Vector-borne diseases
Viral diseases
Wireless telephones
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Description
Summary:Background Dengue is a systemic and dynamic disease with symptoms ranging from undifferentiated fever to dengue shock syndrome. Assessment of patients' severity of dehydration is integral to appropriate care and management. Urine colour has been shown to have a high correlation with overall assessment of hydration status. This study tests the feasibility of measuring dehydration severity in dengue fever patients by comparing urine colour captured by mobile phone cameras to established laboratory parameters. Methodology/Principal findings Photos of urine samples were taken in a customized photo booth, then processed using Adobe Photoshop to index urine colour into the red, green, and blue (RGB) colour space and assigned a unique RGB value. The RGB values were then correlated with patients' clinical and laboratory hydration indices using Pearson's correlation and multiple linear regression. There were strong correlations between urine osmolality and the RGB of urine colour, with r = -0.701 (red), r = -0.741 (green), and r = -0.761 (blue) (all p-value
ISSN:1935-2735
1935-2727
1935-2735
DOI:10.1371/journal.pntd.0008562