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The care of patients with a suspected infectious process in hospital emergency department (ED) has increased in the last decade to account for around 15-20% of all daily care. In the initial evaluation of these patients, samples are taken for the different microbiological studies in 45% of the cases, where obtaining blood cultures (BC) predominates, in 14.6% of all of them. The diagnostic yield of these BC is highly variable (2-20%). The most frequent suspected or confirmed foci or infectious processes of true bacteremia (TB) in the ED are urinary tract infection (45%) and respiratory infection (25%). For all these reasons, the suspicion and confirmation of TB has a relevant diagnostic and prognostic significance and requires changing some of the most important decisions to be made in the ED. Among others, indicate discharge or admission, extract BC and administer the appropriate and early antimicrobial. The intention of this review is to highlight the scientific evidence published in the last five years, clarify the current controversies and compare the ability to predict bacteremia of the latest predictive models published since 2017 with those already existing on that date, year in which a review was published that left open the proposal to continue searching for a model with adequate performance for ED. And so, based on it, generate different recommendations that help define the role that these models or scales can have in improving the indication for obtaining BC, as well as in the immediate making of other diagnostic-therapeutic decisions (administration early and appropriate antibiotic treatment, request for complementary tudies and other microbiological samples, intensity of hemodynamic support, need for admission, etc.)
The care of patients with a suspected infectious process in hospital emergency department (ED) has increased in the last decade to account for around 15-20% of all daily care. In the initial evaluation of these patients, samples are taken for the different microbiological studies in 45% of the cases, where obtaining blood cultures (BC) predominates, in 14.6% of all of them. The diagnostic yield of these BC is highly variable (2-20%). The most frequent suspected or confirmed foci or infectious processes of true bacteremia (TB) in the ED are urinary tract infection (45%) and respiratory infection (25%). For all these reasons, the suspicion and confirmation of TB has a relevant diagnostic and prognostic significance and requires changing some of the most important decisions to be made in the ED. Among others, indicate discharge or admission, extract BC and administer the appropriate and early antimicrobial. The intention of this review is to highlight the scientific evidence published in the last five years, clarify the current controversies and compare the ability to predict bacteremia of the latest predictive models published since 2017 with those already existing on that date, year in which a review was published that left open the proposal to continue searching for a model with adequate performance for ED. And so, based on it, generate different recommendations that help define the role that these models or scales can have in improving the indication for obtaining BC, as well as in the immediate making of other diagnostic-therapeutic decisions (administration early and appropriate antibiotic treatment, request for complementary tudies and other microbiological samples, intensity of hemodynamic support, need for admission, etc.)
Objectives. To analyse and compare 30-day mortality prognostic power of several biomarkers (C-reactive protein, procalcitonin, lactate and suPAR) in patients seen in emergency departments (ED) due to infections. Secondly, if these could improve the accuracy of systemic inflammatory response syndrome (SIRS) and quick Sepsis-related Organ Failure Assessment (qSOFA). Methods. A prospective, observational and analytical study was carried out on patients who were treated in an ED of one of the eight participating hospitals. An assessment was made of 32 independent variables that could influence mortality at 30 days. They covered epidemiological, comorbidity, functional, clinical and analytical factors. Results. The study included 347 consecutive patients, 54 (15.6%) of whom died within 30 days of visiting the ED. SUPAR has got the best biomarker area under the curve (AUC)-ROC to predict mortality at 30 days of 0.836 (95% CI: 0.765-0.907; P <.001) with a cut-off > 10 ng/mL who had a sensitivity of 70% and a specificity of 86%. The score qSOFA ≥ 2 had AUC-ROC of 0.707 (95% CI: 0.621-0.793; P < .001) with sensitivity of 53% and a specificity of 89%. The mixed model (suPAR > 10 ng/mL plus qSOFA ≥ 2) has improved the AUC-ROC to 0.853 [95% CI: 0.790-0.916; P < .001] with the best prognostic performance: sensitivity of 39% and a specificity of 97% with a negative predictive value of 90%. Conclusions. suPAR showed better performance for 30-day mortality prognostic power from several biomarkers in the patients seen in ED due to infections. Score qSOFA has better performance that SRIS and the mixed model (qSOFA ≥ 2 plus suPAR > 10 ng/mL) increased the ability of qSOFA.
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