BACKGROUND:Community-acquired bloodstream infections(CABSIs)are common in the emergency departments,and some progress to sepsis and even lead to death.However,limited information is available regarding the prediction ...BACKGROUND:Community-acquired bloodstream infections(CABSIs)are common in the emergency departments,and some progress to sepsis and even lead to death.However,limited information is available regarding the prediction of patients with high risk of death.METHODS:The Emergency Bloodstream Infection Score(EBS)for CABSIs was developed to visualize the output of a logistic regression model and was validated by the area under the curve(AUC).The Mortality in Emergency Department Sepsis(MEDS),Pitt Bacteremia Score(PBS),Sequential Organ Failure Assessment(SOFA),quick Sequential Organ Failure Assessment(qSOFA),Charlson Comorbidity Index(CCI),and McCabe–Jackson Comorbid Classification(MJCC)for patients with CABSIs were computed to compare them with EBS in terms of the AUC and decision curve analysis(DCA).The net reclassification improvement(NRI)index and integrated discrimination improvement(IDI)index were compared between the SOFA and EBS.RESULTS:A total of 547 patients with CABSIs were included.The AUC(0.853)of the EBS was larger than those of the MEDS,PBS,SOFA,and qSOFA(all P<0.001).The NRI index of EBS in predicting the in-hospital mortality of CABSIs patients was 0.368(P=0.04),and the IDI index was 0.079(P=0.03).DCA showed that when the threshold probability was<0.1,the net benefit of the EBS model was higher than those of the other models.CONCLUSION:The EBS prognostic models were better than the SOFA,qSOFA,MEDS,and PBS models in predicting the in-hospital mortality of patients with CABSIs.展开更多
IN the presence of septic shock, every hour in delaying the administration of effective antibiotics is associated with a measurable increase in mortality. This is especially true for neutropenic patients with septic s...IN the presence of septic shock, every hour in delaying the administration of effective antibiotics is associated with a measurable increase in mortality. This is especially true for neutropenic patients with septic shock. As there is a higher incidence of involving multi-drug resistant pathogens for neutropenic patients, the decision on antibiotics regime remains a challenge for physicians.2 Immunosuppression and previous antibacterial use are factors that promote the spread of multi-drug resistant pathogens, and the possibility of co-existing multi-drug resistant pathogens should be suspected when treating patients with these risk factors who developed refractory shock. Here we present a case with neutropenic fever and refractory shock whose blood culture yielded multi-drug resistant Acinetobacter baumannii and carbapenem- resistant Klebsiella pneumoniae.展开更多
基金supported by the National Key Research and Development Program of China(2021YFC2501800)。
文摘BACKGROUND:Community-acquired bloodstream infections(CABSIs)are common in the emergency departments,and some progress to sepsis and even lead to death.However,limited information is available regarding the prediction of patients with high risk of death.METHODS:The Emergency Bloodstream Infection Score(EBS)for CABSIs was developed to visualize the output of a logistic regression model and was validated by the area under the curve(AUC).The Mortality in Emergency Department Sepsis(MEDS),Pitt Bacteremia Score(PBS),Sequential Organ Failure Assessment(SOFA),quick Sequential Organ Failure Assessment(qSOFA),Charlson Comorbidity Index(CCI),and McCabe–Jackson Comorbid Classification(MJCC)for patients with CABSIs were computed to compare them with EBS in terms of the AUC and decision curve analysis(DCA).The net reclassification improvement(NRI)index and integrated discrimination improvement(IDI)index were compared between the SOFA and EBS.RESULTS:A total of 547 patients with CABSIs were included.The AUC(0.853)of the EBS was larger than those of the MEDS,PBS,SOFA,and qSOFA(all P<0.001).The NRI index of EBS in predicting the in-hospital mortality of CABSIs patients was 0.368(P=0.04),and the IDI index was 0.079(P=0.03).DCA showed that when the threshold probability was<0.1,the net benefit of the EBS model was higher than those of the other models.CONCLUSION:The EBS prognostic models were better than the SOFA,qSOFA,MEDS,and PBS models in predicting the in-hospital mortality of patients with CABSIs.
文摘IN the presence of septic shock, every hour in delaying the administration of effective antibiotics is associated with a measurable increase in mortality. This is especially true for neutropenic patients with septic shock. As there is a higher incidence of involving multi-drug resistant pathogens for neutropenic patients, the decision on antibiotics regime remains a challenge for physicians.2 Immunosuppression and previous antibacterial use are factors that promote the spread of multi-drug resistant pathogens, and the possibility of co-existing multi-drug resistant pathogens should be suspected when treating patients with these risk factors who developed refractory shock. Here we present a case with neutropenic fever and refractory shock whose blood culture yielded multi-drug resistant Acinetobacter baumannii and carbapenem- resistant Klebsiella pneumoniae.
