Imperial College London
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DrSophieYacoub

Faculty of Medicine, Department of Infectious Disease

Honorary Clinical Research Fellow
 
 
 
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Contact

 

s.yacoub

 
 
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Location

 

Commonwealth BuildingHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Sangkaew:2021:10.1016/S1473-3099(20)30601-0,
author = {Sangkaew, S and Ming, D and Boonyasiri, A and Honeyford, K and Kalayanarooj, S and Yacoub, S and Dorigatti, I and Holmes, A},
doi = {10.1016/S1473-3099(20)30601-0},
journal = {Lancet Infectious Diseases},
pages = {1014--1026},
title = {Risk predictors of progression to severe disease during the febrile phase of dengue: a systematic review and meta-analysis},
url = {http://dx.doi.org/10.1016/S1473-3099(20)30601-0},
volume = {21},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - BACKGROUND: The ability to accurately predict early progression of dengue to severe disease is crucial for patient triage and clinical management. Previous systematic reviews and meta-analyses have found significant heterogeneity in predictors of severe disease due to large variation in these factors during the time course of the illness. We aimed to identify factors associated with progression to severe dengue disease that are detectable specifically in the febrile phase. METHODS: We did a systematic review and meta-analysis to identify predictors identifiable during the febrile phase associated with progression to severe disease defined according to WHO criteria. Eight medical databases were searched for studies published from Jan 1, 1997, to Jan 31, 2020. Original clinical studies in English assessing the association of factors detected during the febrile phase with progression to severe dengue were selected and assessed by three reviewers, with discrepancies resolved by consensus. Meta-analyses were done using random-effects models to estimate pooled effect sizes. Only predictors reported in at least four studies were included in the meta-analyses. Heterogeneity was assessed using the Cochrane Q and I2 statistics, and publication bias was assessed by Egger's test. We did subgroup analyses of studies with children and adults. The study is registered with PROSPERO, CRD42018093363. FINDINGS: Of 6643 studies identified, 150 articles were included in the systematic review, and 122 articles comprising 25 potential predictors were included in the meta-analyses. Female patients had a higher risk of severe dengue than male patients in the main analysis (2674 [16·2%] of 16481 vs 3052 [10·5%] of 29142; odds ratio [OR] 1·13 [95% CI 1·01-1·26) but not in the subgroup analysis of studies with children. Pre-existing comorbidities associated with severe disease were diabetes (135 [31·3%] of 431 with vs 868 [16·0%] of 5421 witho
AU  - Sangkaew,S
AU  - Ming,D
AU  - Boonyasiri,A
AU  - Honeyford,K
AU  - Kalayanarooj,S
AU  - Yacoub,S
AU  - Dorigatti,I
AU  - Holmes,A
DO  - 10.1016/S1473-3099(20)30601-0
EP  - 1026
PY  - 2021///
SN  - 1473-3099
SP  - 1014
TI  - Risk predictors of progression to severe disease during the febrile phase of dengue: a systematic review and meta-analysis
T2  - Lancet Infectious Diseases
UR  - http://dx.doi.org/10.1016/S1473-3099(20)30601-0
UR  - https://www.ncbi.nlm.nih.gov/pubmed/33640077
UR  - https://www.sciencedirect.com/science/article/pii/S1473309920306010?via%3Dihub
UR  - http://hdl.handle.net/10044/1/86491
VL  - 21
ER  -
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