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Risk and predictive factors for severe dengue infection: A systematic review and meta-analysis

Author

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  • Kangzhuang Yuan
  • Yuan Chen
  • Meifeng Zhong
  • Yongping Lin
  • Lidong Liu

Abstract

Background: Dengue is a major public health issue worldwide and severe dengue (SD) is life threatening. It is critical to triage patients with dengue infection in the early stage. However, there is limited knowledge on early indicators of SD. The objective of this study is to identify risk factors for the prognosis of SD and try to find out some potential predictive factors for SD from dengue fever (DF) in the early of infection. Methods: The PubMed, Cochrane Library and Web of Science databases were searched for relevant studies from June 1999 to December 2020. The pooled odds ratio (OR) or standardized mean difference (SMD) with 95% confidence intervals (CI) of identified factors was calculated using a fixed or random effect model in the meta-analysis. Tests for heterogeneity, publication bias, subgroup analyses, meta-regression, and a sensitivity analysis were further performed. Findings: A total of 6,848 candidate articles were retrieved, 87 studies with 35,184 DF and 8,173 SD cases met the eligibility criteria. A total of 64 factors were identified, including population and virus characteristics, clinical symptoms and signs, laboratory biomarkers, cytokines, and chemokines; of these factors, 34 were found to be significantly different between DF and SD, while the other 30 factors were not significantly different between the two groups after pooling the data from the relevant studies. Additionally, 9 factors were positive associated with SD within 7 days after illness when the timing subgroup analysis were performed. Conclusions: Practical factors and biomarkers for the identification of SD were established, which will be helpful for a prompt diagnosis and early effective treatment for those at greatest risk. These outcomes also enhance our knowledge of the clinical manifestations and pathogenesis of SD.

Suggested Citation

  • Kangzhuang Yuan & Yuan Chen & Meifeng Zhong & Yongping Lin & Lidong Liu, 2022. "Risk and predictive factors for severe dengue infection: A systematic review and meta-analysis," PLOS ONE, Public Library of Science, vol. 17(4), pages 1-18, April.
    • Handle: RePEc:plo:pone00:0267186
    DOI: 10.1371/journal.pone.0267186
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    1. Samir Bhatt & Peter W. Gething & Oliver J. Brady & Jane P. Messina & Andrew W. Farlow & Catherine L. Moyes & John M. Drake & John S. Brownstein & Anne G. Hoen & Osman Sankoh & Monica F. Myers & Dylan , 2013. "The global distribution and burden of dengue," Nature, Nature, vol. 496(7446), pages 504-507, April.
    2. Sue Duval & Richard Tweedie, 2000. "Trim and Fill: A Simple Funnel-Plot–Based Method of Testing and Adjusting for Publication Bias in Meta-Analysis," Biometrics, The International Biometric Society, vol. 56(2), pages 455-463, June.
    3. Carolina Romero Machado & Elizabeth Stankiewicz Machado & Roger Denis Rohloff & Marina Azevedo & Dayse Pereira Campos & Robson Bruniera de Oliveira & Patrícia Brasil, 2013. "Is Pregnancy Associated with Severe Dengue? A Review of Data from the Rio de Janeiro Surveillance Information System," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 7(5), pages 1-4, May.
    4. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
    5. Nguyen Tien Huy & Tran Van Giang & Dinh Ha Duy Thuy & Mihoko Kikuchi & Tran Tinh Hien & Javier Zamora & Kenji Hirayama, 2013. "Factors Associated with Dengue Shock Syndrome: A Systematic Review and Meta-Analysis," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 7(9), pages 1-15, September.
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