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Obesity as a clinical predictor for severe manifestation of dengue: a systematic review and meta-analysis
BACKGROUND: Severe dengue often leads to poor clinical outcomes and high mortality; as a result, it is of vital importance to find prognostic factors associated with the severe form of dengue. Obesity is known to deteriorate many infectious diseases due to impaired immune responses. Several studies...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10388491/ https://www.ncbi.nlm.nih.gov/pubmed/37525106 http://dx.doi.org/10.1186/s12879-023-08481-9 |
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author | Chen, Chao-Ying Chiu, Yu-Yao Chen, Yu-Cheng Huang, Chung-Hao Wang, Wen-Hung Chen, Yen-Hsu Lin, Chun-Yu |
author_facet | Chen, Chao-Ying Chiu, Yu-Yao Chen, Yu-Cheng Huang, Chung-Hao Wang, Wen-Hung Chen, Yen-Hsu Lin, Chun-Yu |
author_sort | Chen, Chao-Ying |
collection | PubMed |
description | BACKGROUND: Severe dengue often leads to poor clinical outcomes and high mortality; as a result, it is of vital importance to find prognostic factors associated with the severe form of dengue. Obesity is known to deteriorate many infectious diseases due to impaired immune responses. Several studies have suggested that obese patients with dengue infection tend to have more severe manifestations with poorer prognosis. However, a firm conclusion could not be drawn due to the varied results of these studies. Here, we aimed to conduct a systematic review and meta-analysis to investigate the association between obesity and dengue severity. METHODS: A literature search for relevant studies was conducted in PubMed, Embase, Ovid Medline and Cochrane from inception to September 9, 2022. The two main keywords were “dengue” and “obesity”. Mantel-Haenszel method and random effects model was used to analyze the pooled odds ratio with 95% confidence intervals. RESULTS: A total of 15 article involving a total of 6,508 patients were included in the meta-analysis. Included patients in most studies were hospitalized pediatric patients. Only one study included adulthood data. Three cohort studies, four case-control studies, and one cross-sectional studies found a significant association between obesity and dengue severity. In contrast, three cohort studies, three case-control studies, and one cross-sectional study reported no significant relationship between obesity and dengue severity. Our analysis results showed that patient with obesity is 50% (OR = 1.50; 95%CI: 1.15–1.97) more likely to develop severe manifestation of dengue. CONCLUSION: This meta-analysis revealed that overweight could be a clinical predictor for severe disease for pediatric patients with dengue infection. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-023-08481-9. |
format | Online Article Text |
id | pubmed-10388491 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-103884912023-08-01 Obesity as a clinical predictor for severe manifestation of dengue: a systematic review and meta-analysis Chen, Chao-Ying Chiu, Yu-Yao Chen, Yu-Cheng Huang, Chung-Hao Wang, Wen-Hung Chen, Yen-Hsu Lin, Chun-Yu BMC Infect Dis Research BACKGROUND: Severe dengue often leads to poor clinical outcomes and high mortality; as a result, it is of vital importance to find prognostic factors associated with the severe form of dengue. Obesity is known to deteriorate many infectious diseases due to impaired immune responses. Several studies have suggested that obese patients with dengue infection tend to have more severe manifestations with poorer prognosis. However, a firm conclusion could not be drawn due to the varied results of these studies. Here, we aimed to conduct a systematic review and meta-analysis to investigate the association between obesity and dengue severity. METHODS: A literature search for relevant studies was conducted in PubMed, Embase, Ovid Medline and Cochrane from inception to September 9, 2022. The two main keywords were “dengue” and “obesity”. Mantel-Haenszel method and random effects model was used to analyze the pooled odds ratio with 95% confidence intervals. RESULTS: A total of 15 article involving a total of 6,508 patients were included in the meta-analysis. Included patients in most studies were hospitalized pediatric patients. Only one study included adulthood data. Three cohort studies, four case-control studies, and one cross-sectional studies found a significant association between obesity and dengue severity. In contrast, three cohort studies, three case-control studies, and one cross-sectional study reported no significant relationship between obesity and dengue severity. Our analysis results showed that patient with obesity is 50% (OR = 1.50; 95%CI: 1.15–1.97) more likely to develop severe manifestation of dengue. CONCLUSION: This meta-analysis revealed that overweight could be a clinical predictor for severe disease for pediatric patients with dengue infection. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-023-08481-9. BioMed Central 2023-07-31 /pmc/articles/PMC10388491/ /pubmed/37525106 http://dx.doi.org/10.1186/s12879-023-08481-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Chen, Chao-Ying Chiu, Yu-Yao Chen, Yu-Cheng Huang, Chung-Hao Wang, Wen-Hung Chen, Yen-Hsu Lin, Chun-Yu Obesity as a clinical predictor for severe manifestation of dengue: a systematic review and meta-analysis |
title | Obesity as a clinical predictor for severe manifestation of dengue: a systematic review and meta-analysis |
title_full | Obesity as a clinical predictor for severe manifestation of dengue: a systematic review and meta-analysis |
title_fullStr | Obesity as a clinical predictor for severe manifestation of dengue: a systematic review and meta-analysis |
title_full_unstemmed | Obesity as a clinical predictor for severe manifestation of dengue: a systematic review and meta-analysis |
title_short | Obesity as a clinical predictor for severe manifestation of dengue: a systematic review and meta-analysis |
title_sort | obesity as a clinical predictor for severe manifestation of dengue: a systematic review and meta-analysis |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10388491/ https://www.ncbi.nlm.nih.gov/pubmed/37525106 http://dx.doi.org/10.1186/s12879-023-08481-9 |
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