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Risk factors for melioidosis in Udupi District, Karnataka, India, January 2017-July 2018

We initiated an epidemiological investigation following the death of a previously healthy 17 year-old boy with neuro-melioidosis. A case was defined as a culture-confirmed melioidosis patient from Udupi district admitted to hospital A from January 2013—July 2018. For the case control study, we enrol...

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Autores principales: Singh, Akhileshwar, Talyan, Ashok, Chandra, Ramesh, Srivastav, Anubhav, Upadhya, Vasudeva, Mukhopadhyay, Chiranjay, Shreedhar, Shyamsundar, Sudhakaran, Deepak, Nair, Suma, Papanna, Mohan, Yadav, Rajesh, Singh, Sujeet Kumar, Dikid, Tanzin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021467/
https://www.ncbi.nlm.nih.gov/pubmed/36962866
http://dx.doi.org/10.1371/journal.pgph.0000865
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author Singh, Akhileshwar
Talyan, Ashok
Chandra, Ramesh
Srivastav, Anubhav
Upadhya, Vasudeva
Mukhopadhyay, Chiranjay
Shreedhar, Shyamsundar
Sudhakaran, Deepak
Nair, Suma
Papanna, Mohan
Yadav, Rajesh
Singh, Sujeet Kumar
Dikid, Tanzin
author_facet Singh, Akhileshwar
Talyan, Ashok
Chandra, Ramesh
Srivastav, Anubhav
Upadhya, Vasudeva
Mukhopadhyay, Chiranjay
Shreedhar, Shyamsundar
Sudhakaran, Deepak
Nair, Suma
Papanna, Mohan
Yadav, Rajesh
Singh, Sujeet Kumar
Dikid, Tanzin
author_sort Singh, Akhileshwar
collection PubMed
description We initiated an epidemiological investigation following the death of a previously healthy 17 year-old boy with neuro-melioidosis. A case was defined as a culture-confirmed melioidosis patient from Udupi district admitted to hospital A from January 2013—July 2018. For the case control study, we enrolled a subset of cases admitted to hospital A from January 2017- July 2018. A control was resident of Udupi district admitted to hospital A in July 2018 with a non-infectious condition. Using a matched case-control design, we compared each case to 3 controls using age and sex groups. We assessed for risk factors related to water storage, activities of daily living, injuries and environmental exposures (three months prior to hospitalization), using conditional regression analysis. We identified 50 cases with case fatality rate 16%. Uncontrolled diabetes mellitus was present in 84% cases and 66% of cases occurred between May and October (rainy season). Percutaneous inoculation through exposure to stagnant water and injury leading to breakage in the skin were identified as an important mode of transmission. We used these findings to develop a surveillance case definition and initiated training of the district laboratory for melioidosis diagnosis.
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spelling pubmed-100214672023-03-17 Risk factors for melioidosis in Udupi District, Karnataka, India, January 2017-July 2018 Singh, Akhileshwar Talyan, Ashok Chandra, Ramesh Srivastav, Anubhav Upadhya, Vasudeva Mukhopadhyay, Chiranjay Shreedhar, Shyamsundar Sudhakaran, Deepak Nair, Suma Papanna, Mohan Yadav, Rajesh Singh, Sujeet Kumar Dikid, Tanzin PLOS Glob Public Health Research Article We initiated an epidemiological investigation following the death of a previously healthy 17 year-old boy with neuro-melioidosis. A case was defined as a culture-confirmed melioidosis patient from Udupi district admitted to hospital A from January 2013—July 2018. For the case control study, we enrolled a subset of cases admitted to hospital A from January 2017- July 2018. A control was resident of Udupi district admitted to hospital A in July 2018 with a non-infectious condition. Using a matched case-control design, we compared each case to 3 controls using age and sex groups. We assessed for risk factors related to water storage, activities of daily living, injuries and environmental exposures (three months prior to hospitalization), using conditional regression analysis. We identified 50 cases with case fatality rate 16%. Uncontrolled diabetes mellitus was present in 84% cases and 66% of cases occurred between May and October (rainy season). Percutaneous inoculation through exposure to stagnant water and injury leading to breakage in the skin were identified as an important mode of transmission. We used these findings to develop a surveillance case definition and initiated training of the district laboratory for melioidosis diagnosis. Public Library of Science 2022-12-13 /pmc/articles/PMC10021467/ /pubmed/36962866 http://dx.doi.org/10.1371/journal.pgph.0000865 Text en https://creativecommons.org/publicdomain/zero/1.0/This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Singh, Akhileshwar
Talyan, Ashok
Chandra, Ramesh
Srivastav, Anubhav
Upadhya, Vasudeva
Mukhopadhyay, Chiranjay
Shreedhar, Shyamsundar
Sudhakaran, Deepak
Nair, Suma
Papanna, Mohan
Yadav, Rajesh
Singh, Sujeet Kumar
Dikid, Tanzin
Risk factors for melioidosis in Udupi District, Karnataka, India, January 2017-July 2018
title Risk factors for melioidosis in Udupi District, Karnataka, India, January 2017-July 2018
title_full Risk factors for melioidosis in Udupi District, Karnataka, India, January 2017-July 2018
title_fullStr Risk factors for melioidosis in Udupi District, Karnataka, India, January 2017-July 2018
title_full_unstemmed Risk factors for melioidosis in Udupi District, Karnataka, India, January 2017-July 2018
title_short Risk factors for melioidosis in Udupi District, Karnataka, India, January 2017-July 2018
title_sort risk factors for melioidosis in udupi district, karnataka, india, january 2017-july 2018
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021467/
https://www.ncbi.nlm.nih.gov/pubmed/36962866
http://dx.doi.org/10.1371/journal.pgph.0000865
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