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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creator | Poh, Abdul Halim Mahamd Adikan, Faisal Rafiq Moghavvemi, Mahmoud Syed Omar, Sharifah Faridah Poh, Khadijah Mahyuddin, Mohamad Badrol Hisyam Yan, Grace Azizah Ariffin, Mohammad Aizuddin Harun, Sulaiman Wadi |
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. |
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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.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0228923</identifier><identifier>PMID: 32236132</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Antibodies ; Antigens ; Biological products ; Biology and Life Sciences ; Blood ; Centrifugation ; Clinical trials ; Dengue ; Dengue fever ; Discriminant analysis ; Diseases ; Electrical engineering ; Engineering and Technology ; Forearm ; Higher education ; Immunoglobulin G ; Immunoglobulin M ; Laboratories ; Life Sciences ; Medical diagnosis ; Medical practice ; Medical research ; Medicine ; Medicine and Health Sciences ; Methods ; Multivariate analysis ; Patients ; People and Places ; Photonics ; Proteins ; Reagents ; Reflectance ; Research and Analysis Methods ; Signature analysis ; Skin ; Spectroscopy ; Spectrum analysis ; Tropical diseases ; Vector-borne diseases</subject><ispartof>PloS one, 2020-04, Vol.15 (4), p.e0228923-e0228923</ispartof><rights>COPYRIGHT 2020 Public Library of Science</rights><rights>2020 Poh et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><rights>2020 Poh et al 2020 Poh et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c726t-7f920a01ded1a153fe38df5f97b619d5ba5669ea160a4f4626f262ad3c167723</citedby><cites>FETCH-LOGICAL-c726t-7f920a01ded1a153fe38df5f97b619d5ba5669ea160a4f4626f262ad3c167723</cites><orcidid>0000-0002-7599-7971</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7112162/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7112162/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32236132$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-04293737$$DView record in HAL$$Hfree_for_read</backlink></links><search><contributor>Rajapakse, Senaka</contributor><creatorcontrib>Poh, Abdul Halim</creatorcontrib><creatorcontrib>Mahamd Adikan, Faisal Rafiq</creatorcontrib><creatorcontrib>Moghavvemi, Mahmoud</creatorcontrib><creatorcontrib>Syed Omar, Sharifah Faridah</creatorcontrib><creatorcontrib>Poh, Khadijah</creatorcontrib><creatorcontrib>Mahyuddin, Mohamad Badrol Hisyam</creatorcontrib><creatorcontrib>Yan, Grace</creatorcontrib><creatorcontrib>Azizah Ariffin, Mohammad Aizuddin</creatorcontrib><creatorcontrib>Harun, Sulaiman Wadi</creatorcontrib><title>Precursors to non-invasive clinical dengue screening: Multivariate signature analysis of in-vivo diffuse skin reflectance spectroscopy on febrile patients in Malaysia</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Dengue diagnostics have come a long way. 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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.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>32236132</pmid><doi>10.1371/journal.pone.0228923</doi><tpages>e0228923</tpages><orcidid>https://orcid.org/0000-0002-7599-7971</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Antibodies Antigens Biological products Biology and Life Sciences Blood Centrifugation Clinical trials Dengue Dengue fever Discriminant analysis Diseases Electrical engineering Engineering and Technology Forearm Higher education Immunoglobulin G Immunoglobulin M Laboratories Life Sciences Medical diagnosis Medical practice Medical research Medicine Medicine and Health Sciences Methods Multivariate analysis Patients People and Places Photonics Proteins Reagents Reflectance Research and Analysis Methods Signature analysis Skin Spectroscopy Spectrum analysis Tropical diseases Vector-borne diseases |
title | Precursors to non-invasive clinical dengue screening: Multivariate signature analysis of in-vivo diffuse skin reflectance spectroscopy on febrile patients in Malaysia |
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