Improving the diagnosis of serious bacterial infections (SBIs) in the children's emergency department is a clinical priority. Early recognition reduces morbidity and mortality, and supporting clinicians in ruling out SBIs may limit unnecessary admissions and antibiotic use.A prospective, diagnostic accuracy study of clinical and biomarker variables in the diagnosis of SBIs (pneumonia or other SBI) in febrile children <16 years old. A diagnostic model was derived by using multinomial logistic regression and internally validated. External validation of a published model was undertaken, followed by model updating and extension by the inclusion of procalcitonin and resistin.There were 1101 children studied, of whom 264 had an SBI. A diagnostic ...
Objective To externally validate and update the Feverkids tool clinical prediction model for differe...
\ua9 2023 Author(s). Published by BMJ.Objective: To externally validate and update the Feverkids too...
textabstractObjective: To derive, cross validate, and externally validate a clinical prediction mode...
BACKGROUND: Improving the diagnosis of serious bacterial infections (SBIs) in the children's emergen...
Objective: To derive, cross validate, and externally validate a clinical prediction model that asses...
Background Acute febrile illness is a common presentation to the children’s Emergency Department (E...
BACKGROUND: Improving the diagnosis of serious bacterial infections (SBIs) in the children's emergen...
Funding Information: Funding This project has received funding from the European Union’s Horizon 202...
Objectives To develop and cross-validate a multivariable clinical prediction model to identify invas...
ObjectivesTo develop and cross-validate a multivariable clinical prediction model to identify invasi...
Funding Information: Funding This project has received funding from the European Union’s Horizon 202...
Objectives To assess the impact of a clinical decision model for febrile children at risk for seriou...
Funding Information: Funding This project has received funding from the European Union’s Horizon 202...
To assess the impact of a clinical decision model for febrile children at risk for serious bacterial...
<div><p>Objectives</p><p>To assess the impact of a clinical decision model for febrile children at r...
Objective To externally validate and update the Feverkids tool clinical prediction model for differe...
\ua9 2023 Author(s). Published by BMJ.Objective: To externally validate and update the Feverkids too...
textabstractObjective: To derive, cross validate, and externally validate a clinical prediction mode...
BACKGROUND: Improving the diagnosis of serious bacterial infections (SBIs) in the children's emergen...
Objective: To derive, cross validate, and externally validate a clinical prediction model that asses...
Background Acute febrile illness is a common presentation to the children’s Emergency Department (E...
BACKGROUND: Improving the diagnosis of serious bacterial infections (SBIs) in the children's emergen...
Funding Information: Funding This project has received funding from the European Union’s Horizon 202...
Objectives To develop and cross-validate a multivariable clinical prediction model to identify invas...
ObjectivesTo develop and cross-validate a multivariable clinical prediction model to identify invasi...
Funding Information: Funding This project has received funding from the European Union’s Horizon 202...
Objectives To assess the impact of a clinical decision model for febrile children at risk for seriou...
Funding Information: Funding This project has received funding from the European Union’s Horizon 202...
To assess the impact of a clinical decision model for febrile children at risk for serious bacterial...
<div><p>Objectives</p><p>To assess the impact of a clinical decision model for febrile children at r...
Objective To externally validate and update the Feverkids tool clinical prediction model for differe...
\ua9 2023 Author(s). Published by BMJ.Objective: To externally validate and update the Feverkids too...
textabstractObjective: To derive, cross validate, and externally validate a clinical prediction mode...