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Evidence-based diagnostic algorithm for visceral leishmaniasis in Bangladesh

Evidence-based diagnostic algorithm is highly recommended for the visceral leishmaniasis (VL). This crosssectional study was performed in Bangladesh to evaluate VL diagnostic tools including serology, buffy coat smear microscopy for LD body and various DNA-based techniques using buffy coat in 100...

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Main Authors: Salam, Md. Abdus, Huda, M. Mamun, Khan, Md. Gulam Musawwir, Shomik, Mohammad Sohel, Mondal, Dinesh
Format: Article
Language:English
English
English
Published: Elsevier Ireland Ltd 2021
Subjects:
RB Pathology
Online Access:http://irep.iium.edu.my/84690/1/VL%20Dx%20Algorithm.pdf
http://irep.iium.edu.my/84690/7/Scopus%20-evidence%20based%20diagnostic%20algorithm%20for%20visceral.pdf
http://irep.iium.edu.my/84690/13/84690_Evidence-based%20diagnostic%20algorithm%20for%20visceral_WoS.pdf
http://irep.iium.edu.my/84690/
https://www.sciencedirect.com/science/article/pii/S138357692030180X?via%3Dihub
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spelling my.iium.irep.846902021-04-14T03:22:15Z http://irep.iium.edu.my/84690/ Evidence-based diagnostic algorithm for visceral leishmaniasis in Bangladesh Salam, Md. Abdus Huda, M. Mamun Khan, Md. Gulam Musawwir Shomik, Mohammad Sohel Mondal, Dinesh RB Pathology Evidence-based diagnostic algorithm is highly recommended for the visceral leishmaniasis (VL). This crosssectional study was performed in Bangladesh to evaluate VL diagnostic tools including serology, buffy coat smear microscopy for LD body and various DNA-based techniques using buffy coat in 100 confirmed VL cases and 100 controls. The performance of tools against spleen smear (gold standard) was evaluated using kappa coefficient. Diagnostic precision and other inherent indicators were considered for index scoring (IS) of performance of tools using factor analysis. A diagnostic algorithm was formulated based on the IS and availability of the tools at different health care facilities of Bangladesh. A high level of agreement (kappa ≥ 0.80) was observed for all the diagnostic tools. The highest kappa coefficients were found for rK39 RDT and rK39 ELISA (0.95), followed by ssuRNA-PCR (0.94), Buffy coat smear (0.93), rK28 ELISA (0.92), rK28 RDT (0.89), LAMP (0.89), Mini-exon PCR (0.86), ITS1 (0.85), and ITS2 PCR (0.80). rK39 RDT was found to be the best diagnostic test (IS: 1.7) followed by rK28 RDT (IS: 1.5), buffy coat smear microscopy (IS: 0.5), rK39 & rK28 ELISA (IS: 0.3), ssuRNA-PCR (IS: -0.7) and LAMP, Mini-exon, ITS1, & ITS2 PCR (IS: -0.9). rK39 RDT has been proposed as the best option for primary health care facilities, while buffy coat smear microscopy was found to be a good adjunct for confirmation of serology-positive cases and proposed for secondary and tertiary facilities. ssuRNA-PCR or LAMP can be an alternate confirmation tool only applicable to the tertiary facilities. Elsevier Ireland Ltd 2021-02 Article PeerReviewed application/pdf en http://irep.iium.edu.my/84690/1/VL%20Dx%20Algorithm.pdf application/pdf en http://irep.iium.edu.my/84690/7/Scopus%20-evidence%20based%20diagnostic%20algorithm%20for%20visceral.pdf application/pdf en http://irep.iium.edu.my/84690/13/84690_Evidence-based%20diagnostic%20algorithm%20for%20visceral_WoS.pdf Salam, Md. Abdus and Huda, M. Mamun and Khan, Md. Gulam Musawwir and Shomik, Mohammad Sohel and Mondal, Dinesh (2021) Evidence-based diagnostic algorithm for visceral leishmaniasis in Bangladesh. Parasitology International, 80. pp. 1-6. ISSN 1383-5769 https://www.sciencedirect.com/science/article/pii/S138357692030180X?via%3Dihub doi:10.1016/j.parint.2020.102230
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
English
English
topic RB Pathology
spellingShingle RB Pathology
Salam, Md. Abdus
Huda, M. Mamun
Khan, Md. Gulam Musawwir
Shomik, Mohammad Sohel
Mondal, Dinesh
Evidence-based diagnostic algorithm for visceral leishmaniasis in Bangladesh
description Evidence-based diagnostic algorithm is highly recommended for the visceral leishmaniasis (VL). This crosssectional study was performed in Bangladesh to evaluate VL diagnostic tools including serology, buffy coat smear microscopy for LD body and various DNA-based techniques using buffy coat in 100 confirmed VL cases and 100 controls. The performance of tools against spleen smear (gold standard) was evaluated using kappa coefficient. Diagnostic precision and other inherent indicators were considered for index scoring (IS) of performance of tools using factor analysis. A diagnostic algorithm was formulated based on the IS and availability of the tools at different health care facilities of Bangladesh. A high level of agreement (kappa ≥ 0.80) was observed for all the diagnostic tools. The highest kappa coefficients were found for rK39 RDT and rK39 ELISA (0.95), followed by ssuRNA-PCR (0.94), Buffy coat smear (0.93), rK28 ELISA (0.92), rK28 RDT (0.89), LAMP (0.89), Mini-exon PCR (0.86), ITS1 (0.85), and ITS2 PCR (0.80). rK39 RDT was found to be the best diagnostic test (IS: 1.7) followed by rK28 RDT (IS: 1.5), buffy coat smear microscopy (IS: 0.5), rK39 & rK28 ELISA (IS: 0.3), ssuRNA-PCR (IS: -0.7) and LAMP, Mini-exon, ITS1, & ITS2 PCR (IS: -0.9). rK39 RDT has been proposed as the best option for primary health care facilities, while buffy coat smear microscopy was found to be a good adjunct for confirmation of serology-positive cases and proposed for secondary and tertiary facilities. ssuRNA-PCR or LAMP can be an alternate confirmation tool only applicable to the tertiary facilities.
format Article
author Salam, Md. Abdus
Huda, M. Mamun
Khan, Md. Gulam Musawwir
Shomik, Mohammad Sohel
Mondal, Dinesh
author_facet Salam, Md. Abdus
Huda, M. Mamun
Khan, Md. Gulam Musawwir
Shomik, Mohammad Sohel
Mondal, Dinesh
author_sort Salam, Md. Abdus
title Evidence-based diagnostic algorithm for visceral leishmaniasis in Bangladesh
title_short Evidence-based diagnostic algorithm for visceral leishmaniasis in Bangladesh
title_full Evidence-based diagnostic algorithm for visceral leishmaniasis in Bangladesh
title_fullStr Evidence-based diagnostic algorithm for visceral leishmaniasis in Bangladesh
title_full_unstemmed Evidence-based diagnostic algorithm for visceral leishmaniasis in Bangladesh
title_sort evidence-based diagnostic algorithm for visceral leishmaniasis in bangladesh
publisher Elsevier Ireland Ltd
publishDate 2021
url http://irep.iium.edu.my/84690/1/VL%20Dx%20Algorithm.pdf
http://irep.iium.edu.my/84690/7/Scopus%20-evidence%20based%20diagnostic%20algorithm%20for%20visceral.pdf
http://irep.iium.edu.my/84690/13/84690_Evidence-based%20diagnostic%20algorithm%20for%20visceral_WoS.pdf
http://irep.iium.edu.my/84690/
https://www.sciencedirect.com/science/article/pii/S138357692030180X?via%3Dihub
_version_ 1698696739193618432
score 13.211869

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