2013
DOI: 10.1016/j.bjid.2013.05.003
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Categorization of dengue fever according to phase of illness—a suggestion for clinical studies using single diagnostic sample

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Cited by 2 publications
(2 citation statements)
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“…For a priori adjustments, the multivariable models were adjusted for the variables for age (a known confounder for dengue and its clinical presentation for primary infection vs. subsequent infections [ 27 , 28 ], further collapsed to 4-level categorical variable); gender (we had a priori reasons for believing that gender might be related to likelihood of exposure to the Aedes vectors and it might mediate some of the clinical presentations [ 29 ]) although in our data its inclusion or exclusion did not make difference to the odds ratios in the final model); timing of fever occurrence (whether the episode occurred during a known dengue season, often coinciding with a rainy period, may affect dengue diagnosis and physicians’ focus when making examinations for symptoms, etc. [ 30 , 31 ]); and, fever duration prior to visit (possibly affecting how symptoms are clinically presented at enrollment by the duration of illness and level of viremia for dengue confirmation [ 32 ]). Then, a multivariable backward stepwise logistic regression model was applied with a significance level 0.2 for entry and 0.1 for staying in the adjusted model.…”
Section: Methodsmentioning
confidence: 99%
“…For a priori adjustments, the multivariable models were adjusted for the variables for age (a known confounder for dengue and its clinical presentation for primary infection vs. subsequent infections [ 27 , 28 ], further collapsed to 4-level categorical variable); gender (we had a priori reasons for believing that gender might be related to likelihood of exposure to the Aedes vectors and it might mediate some of the clinical presentations [ 29 ]) although in our data its inclusion or exclusion did not make difference to the odds ratios in the final model); timing of fever occurrence (whether the episode occurred during a known dengue season, often coinciding with a rainy period, may affect dengue diagnosis and physicians’ focus when making examinations for symptoms, etc. [ 30 , 31 ]); and, fever duration prior to visit (possibly affecting how symptoms are clinically presented at enrollment by the duration of illness and level of viremia for dengue confirmation [ 32 ]). Then, a multivariable backward stepwise logistic regression model was applied with a significance level 0.2 for entry and 0.1 for staying in the adjusted model.…”
Section: Methodsmentioning
confidence: 99%
“…Dengue fever is characterized by an initial viremic phase which corresponds to the first 3 days of illness followed by immune phase (also called critical phase) spanning from 3rd to 6th day of illness, the phase beyond 6th of illness is called recovery phase [5].…”
Section: Introductionmentioning
confidence: 99%