Precursors to non-invasive clinical dengue screening: Multivariate signature analysis of in-vivo diffuse skin reflectance spectroscopy on febrile patients in Malaysia.
Dengue diagnostics have come a long way. Attempts at breaking away from lab-oriented dengue detection, such as NS1 antigen, IgM or IgG antibodies detection have extensively received numerous coverage. As a result, rapid detection tests (RDTs) have started to gain inroads in medical practice. Rapid d...
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doaj-46e94c01a8b149c983cbe149e8c98cac2021-03-03T21:41:25ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-01154e022892310.1371/journal.pone.0228923Precursors to non-invasive clinical dengue screening: Multivariate signature analysis of in-vivo diffuse skin reflectance spectroscopy on febrile patients in Malaysia.Abdul Halim PohFaisal Rafiq Mahamd AdikanMahmoud MoghavvemiSharifah Faridah Syed OmarKhadijah PohMohamad Badrol Hisyam MahyuddinGrace YanMohammad Aizuddin Azizah AriffinSulaiman Wadi HarunDengue diagnostics have come a long way. Attempts at breaking away from lab-oriented dengue detection, such as NS1 antigen, IgM or IgG antibodies detection have extensively received numerous coverage. As a result, rapid detection tests (RDTs) have started to gain inroads in medical practice. Rapid detection tests notwithstanding, analysis of blood serum is still a relatively complicated task. This includes the necessity of phlebotomy, centrifugation for blood serum, and other reagent-based tests. Therefore, a non-invasive method of dengue detection was considered. In this study, we present the utility of diffuse reflectance skin spectroscopy (bandwidth of 200-2500nm) on the forearm during the triaging period for dengue screening potential. This is performed with multivariate analysis of 240 triaged febrile/suspected dengue patients. The data is then scrutinized for its clinical validity to be included as either confirmed or probable dengue, or a control group. Based on discriminant analysis of several data normalization models, we can predict the patients' clinical dengue-positivity at ranges of accuracy between ~93-98% depending on mode of the data, with a probably optimal sensitivity and specificity to the clinical diagnosis of ~89% and ~100% respectively. From the outcomes of this study, we recommend further trials with cautious optimism. With these findings, it is hoped that the elusive non-invasive detection of tropical diseases may gain platform in the near future.https://doi.org/10.1371/journal.pone.0228923 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Abdul Halim Poh Faisal Rafiq Mahamd Adikan Mahmoud Moghavvemi Sharifah Faridah Syed Omar Khadijah Poh Mohamad Badrol Hisyam Mahyuddin Grace Yan Mohammad Aizuddin Azizah Ariffin Sulaiman Wadi Harun |
spellingShingle |
Abdul Halim Poh Faisal Rafiq Mahamd Adikan Mahmoud Moghavvemi Sharifah Faridah Syed Omar Khadijah Poh Mohamad Badrol Hisyam Mahyuddin Grace Yan Mohammad Aizuddin Azizah Ariffin Sulaiman Wadi Harun Precursors to non-invasive clinical dengue screening: Multivariate signature analysis of in-vivo diffuse skin reflectance spectroscopy on febrile patients in Malaysia. PLoS ONE |
author_facet |
Abdul Halim Poh Faisal Rafiq Mahamd Adikan Mahmoud Moghavvemi Sharifah Faridah Syed Omar Khadijah Poh Mohamad Badrol Hisyam Mahyuddin Grace Yan Mohammad Aizuddin Azizah Ariffin Sulaiman Wadi Harun |
author_sort |
Abdul Halim Poh |
title |
Precursors to non-invasive clinical dengue screening: Multivariate signature analysis of in-vivo diffuse skin reflectance spectroscopy on febrile patients in Malaysia. |
title_short |
Precursors to non-invasive clinical dengue screening: Multivariate signature analysis of in-vivo diffuse skin reflectance spectroscopy on febrile patients in Malaysia. |
title_full |
Precursors to non-invasive clinical dengue screening: Multivariate signature analysis of in-vivo diffuse skin reflectance spectroscopy on febrile patients in Malaysia. |
title_fullStr |
Precursors to non-invasive clinical dengue screening: Multivariate signature analysis of in-vivo diffuse skin reflectance spectroscopy on febrile patients in Malaysia. |
title_full_unstemmed |
Precursors to non-invasive clinical dengue screening: Multivariate signature analysis of in-vivo diffuse skin reflectance spectroscopy on febrile patients in Malaysia. |
title_sort |
precursors to non-invasive clinical dengue screening: multivariate signature analysis of in-vivo diffuse skin reflectance spectroscopy on febrile patients in malaysia. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2020-01-01 |
description |
Dengue diagnostics have come a long way. Attempts at breaking away from lab-oriented dengue detection, such as NS1 antigen, IgM or IgG antibodies detection have extensively received numerous coverage. As a result, rapid detection tests (RDTs) have started to gain inroads in medical practice. Rapid detection tests notwithstanding, analysis of blood serum is still a relatively complicated task. This includes the necessity of phlebotomy, centrifugation for blood serum, and other reagent-based tests. Therefore, a non-invasive method of dengue detection was considered. In this study, we present the utility of diffuse reflectance skin spectroscopy (bandwidth of 200-2500nm) on the forearm during the triaging period for dengue screening potential. This is performed with multivariate analysis of 240 triaged febrile/suspected dengue patients. The data is then scrutinized for its clinical validity to be included as either confirmed or probable dengue, or a control group. Based on discriminant analysis of several data normalization models, we can predict the patients' clinical dengue-positivity at ranges of accuracy between ~93-98% depending on mode of the data, with a probably optimal sensitivity and specificity to the clinical diagnosis of ~89% and ~100% respectively. From the outcomes of this study, we recommend further trials with cautious optimism. With these findings, it is hoped that the elusive non-invasive detection of tropical diseases may gain platform in the near future. |
url |
https://doi.org/10.1371/journal.pone.0228923 |
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