ObjectiveThe objective of this study was to externally validate a clinical prediction rule (CPR)—the ‘Shapiro criteria’—to predict bacteraemia in an acute medical unit (AMU). MethodProspectively collected data, retrospectively evaluated over 11 months in an AMU in the UK. From 4810 admissions, 635 patients (13%) had blood cultures (BCs) performed. The 100 cases of true bacteraemia were compared with a randomly selected sample of 100 control cases where BCs were sterile. ResultsTo predict bacteraemia (at a cut-off score of two points), the Shapiro criteria had a sensitivity of 97% (95% CIs 91% to 99%), specificity 37% (28% to 47%), positive likelihood ratio 1.54 (1.3 to 1.8) and a negative likelihood ratio of 0.08 (0.03 to 0....
BackgroundUseful predictive models for identifying patients at high risk of bacteremia at the emerge...
Background. In the framework of hospital infection control, various clinical prediction rules (CPRs)...
Background: Accurate, objective models of triage for patients with suspected severe acute respirator...
ObjectiveThe objective of this study was to externally validate a clinical prediction rule (CPR)—the...
Background: To our knowledge, no reliable clinical prediction rule (CPR) for identifying bacteremia ...
To our knowledge, no reliable clinical prediction rule (CPR) for identifying bacteremia in hemodialy...
IntroductionHaving developed a clinical prediction rule (CPR) for bacteremia among hemodialysis (HD)...
OBJECTIVE: The objective of this study was to validate a previously published clinical decision rule...
AbstractBacteraemia is associated with high mortality. Although many models for predicting bacteraem...
infection (CDI), including recurrence and death, will become increasingly important as novel therap...
Background: Previous attempts to predict bacteremia have focused on selecting significant variables....
Background: Bacteraemia is a frequent and severe condition with a high mortality rate. Despite profo...
Background. Prediction of bloodstream infection at the time of sepsis onset allows one to make appro...
Clinical prediction rules (CPRs) have become more prevalent in the published literature in recent ye...
OBJECTIVE: Many studies have described constructing a prediction model for bacteremia in community-a...
BackgroundUseful predictive models for identifying patients at high risk of bacteremia at the emerge...
Background. In the framework of hospital infection control, various clinical prediction rules (CPRs)...
Background: Accurate, objective models of triage for patients with suspected severe acute respirator...
ObjectiveThe objective of this study was to externally validate a clinical prediction rule (CPR)—the...
Background: To our knowledge, no reliable clinical prediction rule (CPR) for identifying bacteremia ...
To our knowledge, no reliable clinical prediction rule (CPR) for identifying bacteremia in hemodialy...
IntroductionHaving developed a clinical prediction rule (CPR) for bacteremia among hemodialysis (HD)...
OBJECTIVE: The objective of this study was to validate a previously published clinical decision rule...
AbstractBacteraemia is associated with high mortality. Although many models for predicting bacteraem...
infection (CDI), including recurrence and death, will become increasingly important as novel therap...
Background: Previous attempts to predict bacteremia have focused on selecting significant variables....
Background: Bacteraemia is a frequent and severe condition with a high mortality rate. Despite profo...
Background. Prediction of bloodstream infection at the time of sepsis onset allows one to make appro...
Clinical prediction rules (CPRs) have become more prevalent in the published literature in recent ye...
OBJECTIVE: Many studies have described constructing a prediction model for bacteremia in community-a...
BackgroundUseful predictive models for identifying patients at high risk of bacteremia at the emerge...
Background. In the framework of hospital infection control, various clinical prediction rules (CPRs)...
Background: Accurate, objective models of triage for patients with suspected severe acute respirator...