Joint Involvement Can Predict Chikungunya in a Dengue Syndemic Setting in India
Abstract Dengue and chikungunya have been endemic in India but have the tendency to cause periodic epidemics, often together, wherein they are termed ‘syndemic’. Such a syndemic was observed in 2016 in India which resulted in a further scarcity of already resource-poor specific diagnostic infrastruc...
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Springer
2023-11-01
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Series: | Journal of Epidemiology and Global Health |
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Online Access: | https://doi.org/10.1007/s44197-023-00163-8 |
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author | Abhinav Sinha Deepali Savargaonkar Auley De Aparna Tiwari C. P. Yadav Anupkumar R. Anvikar |
author_facet | Abhinav Sinha Deepali Savargaonkar Auley De Aparna Tiwari C. P. Yadav Anupkumar R. Anvikar |
author_sort | Abhinav Sinha |
collection | DOAJ |
description | Abstract Dengue and chikungunya have been endemic in India but have the tendency to cause periodic epidemics, often together, wherein they are termed ‘syndemic’. Such a syndemic was observed in 2016 in India which resulted in a further scarcity of already resource-poor specific diagnostic infrastructure even in many urban conglomerates. A cross-sectional study was thus conducted, on 978 fever patients that consulted the ICMR-NIMR fever clinic, New Delhi, in September 2016, with an objective to identify symptom/s that could predict chikungunya with certainty. The overall aim was to rationally channelize the most clinically suitable patients for the required specific diagnosis of chikungunya. Based on their clinical profile, febrile patients attending NIMR’s clinic, appropriate laboratory tests and their association analyses were performed. Bivariate analysis on 34 clinical parameters revealed that joint pain, joint swelling, rashes, red spots, weakness, itching, loss of taste, red eyes, and bleeding gums were found to be statistically significantly associated predictors of chikungunya as compared to dengue. While, in multivariate analysis, only four symptoms (joint pain in elbows, joint swelling, itching and bleeding gums) were found in statistically significant association with chikungunya. Hence, based on the results, a clinician may preferably channelize febrile patients with one or more of these four symptoms for chikungunya-specific diagnosis and divert the rest for dengue lab diagnosis in a dengue–chikungunya syndemic setting. |
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format | Article |
id | doaj.art-4bd8bb37da224dbc88928627cabc62c6 |
institution | Directory Open Access Journal |
issn | 2210-6014 |
language | English |
last_indexed | 2024-03-09T06:01:07Z |
publishDate | 2023-11-01 |
publisher | Springer |
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series | Journal of Epidemiology and Global Health |
spelling | doaj.art-4bd8bb37da224dbc88928627cabc62c62023-12-03T12:09:14ZengSpringerJournal of Epidemiology and Global Health2210-60142023-11-0113489590110.1007/s44197-023-00163-8Joint Involvement Can Predict Chikungunya in a Dengue Syndemic Setting in IndiaAbhinav Sinha0Deepali Savargaonkar1Auley De2Aparna Tiwari3C. P. Yadav4Anupkumar R. Anvikar5ICMR-National Institute of Malaria ResearchICMR-National Institute of Malaria ResearchICMR-National Institute of Malaria ResearchICMR-National Institute of Malaria ResearchICMR-National Institute of Malaria ResearchICMR-National Institute of Malaria ResearchAbstract Dengue and chikungunya have been endemic in India but have the tendency to cause periodic epidemics, often together, wherein they are termed ‘syndemic’. Such a syndemic was observed in 2016 in India which resulted in a further scarcity of already resource-poor specific diagnostic infrastructure even in many urban conglomerates. A cross-sectional study was thus conducted, on 978 fever patients that consulted the ICMR-NIMR fever clinic, New Delhi, in September 2016, with an objective to identify symptom/s that could predict chikungunya with certainty. The overall aim was to rationally channelize the most clinically suitable patients for the required specific diagnosis of chikungunya. Based on their clinical profile, febrile patients attending NIMR’s clinic, appropriate laboratory tests and their association analyses were performed. Bivariate analysis on 34 clinical parameters revealed that joint pain, joint swelling, rashes, red spots, weakness, itching, loss of taste, red eyes, and bleeding gums were found to be statistically significantly associated predictors of chikungunya as compared to dengue. While, in multivariate analysis, only four symptoms (joint pain in elbows, joint swelling, itching and bleeding gums) were found in statistically significant association with chikungunya. Hence, based on the results, a clinician may preferably channelize febrile patients with one or more of these four symptoms for chikungunya-specific diagnosis and divert the rest for dengue lab diagnosis in a dengue–chikungunya syndemic setting.https://doi.org/10.1007/s44197-023-00163-8Joint painJoint swellingChikungunyaDengueIndia |
spellingShingle | Abhinav Sinha Deepali Savargaonkar Auley De Aparna Tiwari C. P. Yadav Anupkumar R. Anvikar Joint Involvement Can Predict Chikungunya in a Dengue Syndemic Setting in India Journal of Epidemiology and Global Health Joint pain Joint swelling Chikungunya Dengue India |
title | Joint Involvement Can Predict Chikungunya in a Dengue Syndemic Setting in India |
title_full | Joint Involvement Can Predict Chikungunya in a Dengue Syndemic Setting in India |
title_fullStr | Joint Involvement Can Predict Chikungunya in a Dengue Syndemic Setting in India |
title_full_unstemmed | Joint Involvement Can Predict Chikungunya in a Dengue Syndemic Setting in India |
title_short | Joint Involvement Can Predict Chikungunya in a Dengue Syndemic Setting in India |
title_sort | joint involvement can predict chikungunya in a dengue syndemic setting in india |
topic | Joint pain Joint swelling Chikungunya Dengue India |
url | https://doi.org/10.1007/s44197-023-00163-8 |
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