Precursors to non-invasive clinical dengue screening: Multivariate signature analysis of in-vivo diffuse skin reflectance spectroscopy on febrile patients in Malaysia.
Autor: | Poh AH; Department of Electrical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia.; Integrated Lightwave Research Group, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia.; Center of Research for Applied Electronics (CRAE), Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia., Mahamd Adikan FR; Department of Electrical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia.; Integrated Lightwave Research Group, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia., Moghavvemi M; Department of Electrical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia.; Center of Research for Applied Electronics (CRAE), Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia.; University of Science and Culture, Tehran, Iran., Syed Omar SF; Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.; Infectious Diseases and Medicine, University of Malaya, Kuala Lumpur, Malaysia., Poh K; Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia., Mahyuddin MBH; Department of Electrical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia.; Photonics Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia., Yan G; Integrated Lightwave Research Group, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia., Azizah Ariffin MA; University of Science and Culture, Tehran, Iran., Harun SW; Department of Electrical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia.; Photonics Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia. |
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Jazyk: | angličtina |
Zdroj: | PloS one [PLoS One] 2020 Apr 01; Vol. 15 (4), pp. e0228923. Date of Electronic Publication: 2020 Apr 01 (Print Publication: 2020). |
DOI: | 10.1371/journal.pone.0228923 |
Abstrakt: | 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. Competing Interests: The authors have declared that no competing interests exist. |
Databáze: | MEDLINE |
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