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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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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. |
format | Online Article Text |
id | pubmed-7470395 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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