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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Veröffentlicht in:PloS one 2020-04, Vol.15 (4), p.e0228923-e0228923
Hauptverfasser: 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
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container_issue 4
container_start_page e0228923
container_title PloS one
container_volume 15
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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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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