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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 assessm...

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Autores principales: Chew, Natalie, Noor Azhar, Abdul Muhaimin, Bustam, Aida, Azanan, Mohamad Shafiq, Wang, Crystal, Lum, Lucy C. S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7470395/
https://www.ncbi.nlm.nih.gov/pubmed/32881914
http://dx.doi.org/10.1371/journal.pntd.0008562
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author Chew, Natalie
Noor Azhar, Abdul Muhaimin
Bustam, Aida
Azanan, Mohamad Shafiq
Wang, Crystal
Lum, Lucy C. S.
author_facet Chew, Natalie
Noor Azhar, Abdul Muhaimin
Bustam, Aida
Azanan, Mohamad Shafiq
Wang, Crystal
Lum, Lucy C. S.
author_sort Chew, Natalie
collection PubMed
description 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 <0.05). There were strong correlations between urine specific gravity and the RGB of urine colour, with r = -0.759 (red), r = -0.785 (green), and r = -0.820 (blue) (all p-value <0.05). The blue component had the highest correlations with urine specific gravity and urine osmolality. There were moderate correlations between RGB components and serum urea, at r = -0.338 (red), -0.329 (green), -0.360 (blue). In terms of urine biochemical parameters linked to dehydration, multiple linear regression studies showed that the green colourimetry code was predictive of urine osmolality (β coefficient -0.082, p-value <0.001) while the blue colourimetry code was predictive of urine specific gravity (β coefficient -2,946.255, p-value 0.007). CONCLUSIONS/SIGNIFICANCE: Urine colourimetry using mobile phones was highly correlated with the hydration status of dengue patients, making it a potentially useful hydration status tool.
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spelling pubmed-74703952020-09-11 Assessing dehydration status in dengue patients using urine colourimetry and mobile phone technology Chew, Natalie Noor Azhar, Abdul Muhaimin Bustam, Aida Azanan, Mohamad Shafiq Wang, Crystal Lum, Lucy C. S. PLoS Negl Trop Dis Research Article 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 <0.05). There were strong correlations between urine specific gravity and the RGB of urine colour, with r = -0.759 (red), r = -0.785 (green), and r = -0.820 (blue) (all p-value <0.05). The blue component had the highest correlations with urine specific gravity and urine osmolality. There were moderate correlations between RGB components and serum urea, at r = -0.338 (red), -0.329 (green), -0.360 (blue). In terms of urine biochemical parameters linked to dehydration, multiple linear regression studies showed that the green colourimetry code was predictive of urine osmolality (β coefficient -0.082, p-value <0.001) while the blue colourimetry code was predictive of urine specific gravity (β coefficient -2,946.255, p-value 0.007). CONCLUSIONS/SIGNIFICANCE: Urine colourimetry using mobile phones was highly correlated with the hydration status of dengue patients, making it a potentially useful hydration status tool. Public Library of Science 2020-09-03 /pmc/articles/PMC7470395/ /pubmed/32881914 http://dx.doi.org/10.1371/journal.pntd.0008562 Text en © 2020 Chew et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Chew, Natalie
Noor Azhar, Abdul Muhaimin
Bustam, Aida
Azanan, Mohamad Shafiq
Wang, Crystal
Lum, Lucy C. S.
Assessing dehydration status in dengue patients using urine colourimetry and mobile phone technology
title Assessing dehydration status in dengue patients using urine colourimetry and mobile phone technology
title_full Assessing dehydration status in dengue patients using urine colourimetry and mobile phone technology
title_fullStr Assessing dehydration status in dengue patients using urine colourimetry and mobile phone technology
title_full_unstemmed Assessing dehydration status in dengue patients using urine colourimetry and mobile phone technology
title_short Assessing dehydration status in dengue patients using urine colourimetry and mobile phone technology
title_sort assessing dehydration status in dengue patients using urine colourimetry and mobile phone technology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7470395/
https://www.ncbi.nlm.nih.gov/pubmed/32881914
http://dx.doi.org/10.1371/journal.pntd.0008562
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