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ORIGINAL RESEARCH

Predictive Value of a Quick Pitt Bacteremia Score for Prognosis of Patients with Bloodstream Infection Secondary to Urinary Tract Infection: A Retrospective Cohort Study

ORCID Icon, , ORCID Icon, , , & ORCID Icon show all
Pages 4381-4391 | Published online: 10 Aug 2022

Figures & data

Table 1 Demographics and Clinical Characteristics of Patients with Bloodstream Infections Secondary to Urinary Tract Infections

Figure 1 The flow diagram about the source of the study population.

Figure 1 The flow diagram about the source of the study population.

Table 2 Proportion of Different Pathogens in Blood Culture

Table 3 Multivariable Logistic Regression Model Results for Independent Risk Factors of Poor Prognosis

Table 4 Multivariable Logistic Regression Model Results for Independent Risk Factors of Death

Table 5 Area Under ROC Curves for the Prediction of Poor Prognosis

Table 6 Area Under ROC Curves for the Prediction of Death

Figure 2 Receiver operator characteristic (ROC) curves of the independent risk factors for the prediction of poor prognosis.

Figure 2 Receiver operator characteristic (ROC) curves of the independent risk factors for the prediction of poor prognosis.

Figure 3 Receiver operator characteristic (ROC) curves of the independent risk factors for the prediction of death.

Figure 3 Receiver operator characteristic (ROC) curves of the independent risk factors for the prediction of death.

Table 7 Stratified Analysis of Carbapenems as the Initial Therapy on the Prognosis