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Clinical predictors of severe dengue: a systematic review and meta-analysis

BACKGROUND: Severe dengue is a life-threatening complication; rapid identification of these cases, followed by adequate management is crucial to improve the clinical prognosis. Therefore, this study aimed to identify risk factors and predictors of severe dengue. METHODS: A literature search for stud...

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Autores principales: Tsheten, Tsheten, Clements, Archie C. A., Gray, Darren J., Adhikary, Ripon K., Furuya-Kanamori, Luis, Wangdi, Kinley
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8501593/
https://www.ncbi.nlm.nih.gov/pubmed/34627388
http://dx.doi.org/10.1186/s40249-021-00908-2
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author Tsheten, Tsheten
Clements, Archie C. A.
Gray, Darren J.
Adhikary, Ripon K.
Furuya-Kanamori, Luis
Wangdi, Kinley
author_facet Tsheten, Tsheten
Clements, Archie C. A.
Gray, Darren J.
Adhikary, Ripon K.
Furuya-Kanamori, Luis
Wangdi, Kinley
author_sort Tsheten, Tsheten
collection PubMed
description BACKGROUND: Severe dengue is a life-threatening complication; rapid identification of these cases, followed by adequate management is crucial to improve the clinical prognosis. Therefore, this study aimed to identify risk factors and predictors of severe dengue. METHODS: A literature search for studies reporting risk factors of severe dengue among individuals with dengue virus infection was conducted in PubMed, Scopus and Web of Science database from inception to December 31, 2020. Pooled odds ratios (ORs) for patients’ demographic characteristics, co-morbidities, and warning signs were estimated using an inverse variance heterogeneity model. RESULTS: We included 143 articles in the meta-analysis from a total of 13 090 articles retrieved from the literature search. The risk factors of severe dengue were: being a child [OR = 1.96; 95% confidence interval (CI): 1.22–3.13], secondary infection (OR = 3.23; 95% CI: 2.28–4.57), and patients with pre-existing diabetes (OR = 2.88; 95% CI: 1.72–4.81) and renal disease (OR = 4.54; 95% CI: 1.55–13.31). Warning signs strongly associated with severe disease were increased haematocrit with a concurrent decrease in platelet count (OR = 5.13; 95% CI: 1.61–16.34), abdominal pain (OR = 2.00; 95% CI: 1.49–2.68), lethargy (OR = 2.73; 95% CI: 1.05–7.10), vomiting (OR = 1.80; 95% CI: 1.43–2.26), hepatomegaly (OR = 5.92; 95% CI: 3.29–10.66), ascites (OR = 6.30; 95% CI: 3.75–10.60), pleural effusion (OR = 5.72; 95% CI: 3.24–10.10) and melena (OR = 4.05; 95% CI: 1.64–10.00). CONCLUSIONS: Our meta-analysis identified children, secondary infection, diabetes and renal disease(s) as important predictors of severe dengue. Our finding also supports the predictive ability of the WHO warning signs to identify severe dengue. These findings are useful for clinicians to identify severe dengue for management and timely interventions. [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40249-021-00908-2.
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spelling pubmed-85015932021-10-20 Clinical predictors of severe dengue: a systematic review and meta-analysis Tsheten, Tsheten Clements, Archie C. A. Gray, Darren J. Adhikary, Ripon K. Furuya-Kanamori, Luis Wangdi, Kinley Infect Dis Poverty Scoping Review BACKGROUND: Severe dengue is a life-threatening complication; rapid identification of these cases, followed by adequate management is crucial to improve the clinical prognosis. Therefore, this study aimed to identify risk factors and predictors of severe dengue. METHODS: A literature search for studies reporting risk factors of severe dengue among individuals with dengue virus infection was conducted in PubMed, Scopus and Web of Science database from inception to December 31, 2020. Pooled odds ratios (ORs) for patients’ demographic characteristics, co-morbidities, and warning signs were estimated using an inverse variance heterogeneity model. RESULTS: We included 143 articles in the meta-analysis from a total of 13 090 articles retrieved from the literature search. The risk factors of severe dengue were: being a child [OR = 1.96; 95% confidence interval (CI): 1.22–3.13], secondary infection (OR = 3.23; 95% CI: 2.28–4.57), and patients with pre-existing diabetes (OR = 2.88; 95% CI: 1.72–4.81) and renal disease (OR = 4.54; 95% CI: 1.55–13.31). Warning signs strongly associated with severe disease were increased haematocrit with a concurrent decrease in platelet count (OR = 5.13; 95% CI: 1.61–16.34), abdominal pain (OR = 2.00; 95% CI: 1.49–2.68), lethargy (OR = 2.73; 95% CI: 1.05–7.10), vomiting (OR = 1.80; 95% CI: 1.43–2.26), hepatomegaly (OR = 5.92; 95% CI: 3.29–10.66), ascites (OR = 6.30; 95% CI: 3.75–10.60), pleural effusion (OR = 5.72; 95% CI: 3.24–10.10) and melena (OR = 4.05; 95% CI: 1.64–10.00). CONCLUSIONS: Our meta-analysis identified children, secondary infection, diabetes and renal disease(s) as important predictors of severe dengue. Our finding also supports the predictive ability of the WHO warning signs to identify severe dengue. These findings are useful for clinicians to identify severe dengue for management and timely interventions. [Image: see text] SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40249-021-00908-2. BioMed Central 2021-10-09 /pmc/articles/PMC8501593/ /pubmed/34627388 http://dx.doi.org/10.1186/s40249-021-00908-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Scoping Review
Tsheten, Tsheten
Clements, Archie C. A.
Gray, Darren J.
Adhikary, Ripon K.
Furuya-Kanamori, Luis
Wangdi, Kinley
Clinical predictors of severe dengue: a systematic review and meta-analysis
title Clinical predictors of severe dengue: a systematic review and meta-analysis
title_full Clinical predictors of severe dengue: a systematic review and meta-analysis
title_fullStr Clinical predictors of severe dengue: a systematic review and meta-analysis
title_full_unstemmed Clinical predictors of severe dengue: a systematic review and meta-analysis
title_short Clinical predictors of severe dengue: a systematic review and meta-analysis
title_sort clinical predictors of severe dengue: a systematic review and meta-analysis
topic Scoping Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8501593/
https://www.ncbi.nlm.nih.gov/pubmed/34627388
http://dx.doi.org/10.1186/s40249-021-00908-2
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