Original articleInconsistency of a model aimed at predicting bacteremia in hospitalized patients
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Concurrent external validation of bloodstream infection probability models
2023, Clinical Microbiology and InfectionCitation Excerpt :Studies came from multiple countries, were published between 1991 and 2015, and were evenly split between single or multicentred design. Four studies [19–22] were limited to specific diagnoses and three [19,20,23] excluded immunocompromized patients. Eight studies required that patients have at least two blood culture sets with the other studies [24,25] not specifying a required number of cultures.
Predicting bacteremia in the Emergency Room: How and why
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2016, Medicina ClinicaPredicting bacteraemia in validated models-a systematic review
2015, Clinical Microbiology and InfectionCitation Excerpt :Yehezkelli et al. [29] tested the 2 models developed by Bates [8] and Leibovici [2] and also found significant deterioration in performance. Mozes et al. [16] suggested several factors contributing to these limitations of previous models: varying inclusion criteria, differences in definitions of predictors, overrepresentation of groups, varying practice styles and variation in measurement and interpretation of data. An example of differences between sites is that intravenous drug abuse was a strong predictor of bacteraemia in the Bates model, but there were few intravenous drug abusers where it was validated.
Blood cultures when fever?
2010, Revista Clinica EspanolaThe degree of chills for risk of bacteremia in acute febrile illness
2005, American Journal of MedicineCitation Excerpt :However, these values are smaller than 0.78 of our model using a single predictor (degree of chills). Moreover, Mozes et al highlighted the limited usefulness of bacteremia prediction models of multiple predictors.7 Several studies showed that bacteremic patients had the higher concentrations of various pyrogenic cytokines than those without bacteremia.14,30