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, 199...
Establishing reliable early warning models for severe dengue cases is a high priority to facilitate ...
BACKGROUND: Early prediction of severe dengue could significantly assist patient triage and case man...
Abstract Background An important challenge in the identification of dengue is how to predict which p...
BackgroundThe ability to accurately predict early progression of dengue to severe disease is crucial...
Background: Since no effective vaccine or specific treatment for dengue exists, the early prediction...
Abstract Background Severe dengue is a life-threatening complication; rapid identification of these ...
To date, no specific antiviral treatment is available for dengue. The recognition of clinical progr...
Background: Early identification of severe dengue patients is important regarding patient management...
Abstract Early identification of dengue patients at risk of adverse outcomes is important to prevent...
<div><p>We aimed to develop and validate a risk score to aid in the early identification of laborato...
We aimed to develop and validate a risk score to aid in the early identification of laboratory-confi...
Background: Severe dengue disease (SDD) (DHF/DSS: dengue hemorrhagic fever/dengue shock syndrome) re...
This article was published in the BMC Infectious Diseases [© Jaenisch et al. 2016] and the definite...
Introduction: Existing literature describes severe dengue manifests in the critical phase of dengue...
BACKGROUND: The mean age of acute dengue has undergone a shift towards older ages. This fact points ...
Establishing reliable early warning models for severe dengue cases is a high priority to facilitate ...
BACKGROUND: Early prediction of severe dengue could significantly assist patient triage and case man...
Abstract Background An important challenge in the identification of dengue is how to predict which p...
BackgroundThe ability to accurately predict early progression of dengue to severe disease is crucial...
Background: Since no effective vaccine or specific treatment for dengue exists, the early prediction...
Abstract Background Severe dengue is a life-threatening complication; rapid identification of these ...
To date, no specific antiviral treatment is available for dengue. The recognition of clinical progr...
Background: Early identification of severe dengue patients is important regarding patient management...
Abstract Early identification of dengue patients at risk of adverse outcomes is important to prevent...
<div><p>We aimed to develop and validate a risk score to aid in the early identification of laborato...
We aimed to develop and validate a risk score to aid in the early identification of laboratory-confi...
Background: Severe dengue disease (SDD) (DHF/DSS: dengue hemorrhagic fever/dengue shock syndrome) re...
This article was published in the BMC Infectious Diseases [© Jaenisch et al. 2016] and the definite...
Introduction: Existing literature describes severe dengue manifests in the critical phase of dengue...
BACKGROUND: The mean age of acute dengue has undergone a shift towards older ages. This fact points ...
Establishing reliable early warning models for severe dengue cases is a high priority to facilitate ...
BACKGROUND: Early prediction of severe dengue could significantly assist patient triage and case man...
Abstract Background An important challenge in the identification of dengue is how to predict which p...