[Usefulness of the MPB-INFURG-SEMES model to predict bacteremia in the patient with solid tumor in the Emergency Department]. / Utilidad del modelo MPB-INFURG-SEMES para predecir bacteriemia en el paciente con neoplasia sólida en el Servicio de Urgencias.

OBJECTIVE: To analyse a new risk score to predict bacteremia (MPB-INFURG-SEMES) in the patients with solid tumor attender for infection in the emergency departments (ED). METHODS: Prospective, multicenter observational cohort study of blood cultures (BC) obtained from adult patients with solid neoplasia treated in 63 EDs for infection from November 1, 2019, to March 31, 2020. The predictive ability of the model was analyzed with the area under the Receiver Operating Characteristic curve (AUC-ROC). The prognostic performance for true bacteremia was calculated with the chosen cut-off for getting the sensitivity, specificity, positive predictive value and negative predictive value. RESULTS: A total of 857 blood samples wered cultured. True cases of bacteremia were confirmed in 196 (22.9%). The remaining 661 cultures (77.1%) wered negative. And, 42 (4.9%) were judged to be contaminated. The model's area under the receiver operating characteristic curve was 0.923 (95% CI,0.896-0.950). The prognostic performance with a model's cut-off value of ≥ 5 points achieved 95.74% (95% CI, 94,92-96.56) sensitivity, 76.06% (95% CI, 75.24-76.88) specificity, 53.42%(95% CI, 52.60-54.24) positive predictive value and 98.48% (95% CI, 97.66- 99.30) negative predictive value. CONCLUSIONS: The MPB-INFURG-SEMES score is useful for predicting bacteremia in the adults patients with solid tumor seen in the ED.

[Ability of qSOFA1-lactate to predict 30-day mortality in patients seen for infection in the Emergency Department]. / Capacidad del qSOFA1-lactato para predecir mortalidad a 30 días en los pacientes atendidos por infección en urgencias.

OBJECTIVE: To evaluate lactate and the Quick Sepsis-Related Organ Failure Assessment (qSOFA) and compare their ability to predict 30-day mortality in patients treated for infection in emergency departments (ED). METHODS: Prospective multicenter observational cohort study. We enrolled a convenience sample of patients aged 18 years or older attended in 71 Spanish ED from October 1, 2019, to March 31, 2020. Each model's predictive power was analyzed with the area under the receiver operating characteristic curve (AUC), and its values of sensitivity (Se), specificity (Sp), positive predictive value (PPV) and negative (NPV). RESULTS: A total of 4439 patients with a mean (SD) age of 18 years were studied; 2648 (59.7%) were men and 459 (10.3%) died within 30 days. For 30-day mortality, the AUC-COR obtained with the qSOFA = 1 model plus 2 mmol/l lactate was 0.66 (95% CI, 0.63-0.69) with Se: 68%, Es: 70% and NPV:92%, while qSOFA = 1 obtained AUC-COR of 0.52 (95% CI, 0.49-0.55) with a Se:42%, Es:64% and NPV:90%. CONCLUSIONS: To predict 30-day mortality in patients presenting to the ED due to an episode of infection, the qSOFA =1 + lactate≥2 mmol/L model significantly improves the predictive power achieved individually by qSOFA1 and becomes very similar to qSOFA≥2.

Utilidad del modelo 5MPB-Toledo para predecir bacteriemia en el paciente con infección del tracto urinario en el servicio de urgencias / Usefulness of the 5MPB-Toledo model to predict bacteremia in patients with urinary tract infections in the emergency department

Objetivo: Analizar la utilidad de un nuevo modelo predictivo de bacteriemia (5MPB-Toledo) en pacientes atendidos por infección del tracto urinario (ITU) en los servicios de urgencias (SU). Métodos: Estudio observacional, prospectivo y multicéntrico de los hemocultivos (HC) obtenidos en pacientes mayores de 18 años atendidos por ITU en 65SU desde el 1 de octubre de 2019 hasta el 30 de abril de 2020. Se analizó la capacidad predictiva del modelo con el área bajo la curva (ABC) de la característica operativa del receptor (COR) y se calculó el rendimiento diagnóstico del punto de corte elegido con su sensibilidad, especificidad, valor predictivo positivo y valor predictivo negativo. Resultados: Se incluyeron 1.499 episodios de HC extraídos. De ellos se consideraron como bacteriemias verdaderas 277 (18,5%) y como HC negativos 1.222 (81,5%). Entre los negativos 94 (6,3%) se consideraron contaminados. El ABC-COR del modelo fue de 0,937 (IC 95%: 0,926-0,949). El rendimiento diagnóstico del modelo con un PC≥5 puntos consigue una sensibilidad de 97,47% (IC 95%: 94,64-98,89), especificidad de 76,68% (IC 95%: 74,18-79,00), un valor predictivo positivo de 48,65% (IC 95%: 44,42-52,89) y un valor predictivo negativo de 99,26% (IC 95%: 98,41-99,67). Conclusión: El modelo 5MPB-Toledo podría ser útil para predecir bacteriemia en los pacientes adultos atendidos en el SU por un episodio de ITU (AU)

Objective: To analyze the usefulness of a new predictive model of bacteremia (5MPB-Toledo) in patients treated for urinary tract infection (UTI) in the emergency department (ED). Methods: Prospective and multicenter observational cohort study of the blood cultures (BC) ordered for patients with UTIs in 65 Spanish ED from October 1, 2019, to April 30, 2020. The predictive ability of the model was analyzed with the area under the Receiver Operating Characteristic curve (AUC-ROC). The diagnostic performance was calculated with the chosen cut-off point for sensitivity, specificity, positive predictive value, and negative predictive value. Results A total of 1,499 blood cultures were evaluated. True cases of bacteremia were confirmed in 277 (18.5%). The remaining 1,222 cultures (81.5%) were negative. Ninety-four (6.3%) were considered contaminated. The model's area under the ROC curve was 0.937 (95% CI, 0.926-0.949). The prognostic performance with a model's cut-off value of≥5 points achieved 97.47% (95% CI, 94.64-98.89) sensitivity, 76.68% (95% CI, 74.18-79.00) specificity, 48.65% (95% CI, 44.42-52.89) positive predictive value and 99.26% (95% CI, 98.41-99.67) negative predictive value. Conclusion: The 5MPB-Toledo score is useful for predicting bacteremia in patients with UTIs who visit the ED (AU)

Usefulness of the 5MPB-Toledo model to predict bacteremia in patients with urinary tract infections in the emergency department.

OBJECTIVE: To analyze the usefulness of a new predictive model of bacteremia (5MPB-Toledo) in patients treated for urinary tract infection (UTI) in the emergency department (ED). METHODS: Prospective and multicenter observational cohort study of the blood cultures (BC) ordered for patients with UTIs in 65 Spanish ED from November 1, 2019, to March 31, 2020. The predictive ability of the model was analyzed with the area under the Receiver Operating Characteristic curve (AUC-ROC). The diagnostic performance was calculated with the chosen cut-off point for sensitivity, specificity, positive predictive value, and negative predictive value. RESULTS: A total of 1,499 blood cultures were evaluated. True cases of bacteremia were confirmed in 277 (18.5%). The remaining 1,222 cultures (81.5%) were negative. Ninety-four (6.3%) were considered contaminated. The model's area under the ROC curve was 0.937 (95% CI, 0.926-0.949). The prognostic performance with a model's cut-off value of ≥5 points achieved 97.47% (95% CI, 94.64-98.89) sensitivity, 76.68% (95% CI, 74.18-79.00) specificity, 48.65% (95% CI, 44.42-52.89) positive predictive value and 99.26% (95% CI, 98.41-99.67) negative predictive value. CONCLUSION: The 5MPB-Toledo score is useful for predicting bacteremia in patients with UTIs who visit the ED.

[New predictive models of bacteremia in the emergency department: a step forward]. / Nuevos modelos predictivos de bacteriemia en el servicio de urgencias: un paso adelante.

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.).

[Prognostic power of soluble urokinase plasminogen activator receptor (suPAR) for short-term mortality in patients seen in Emergency Departments due to infections]. / Poder pronóstico de mortalidad a corto plazo del receptor soluble activador del plasminógeno tipo uroquinasa (suPAR) en los pacientes atendidos en urgencias por infección.

OBJECTIVE: 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.

[Usefulness of the 5MPB-Toledo model to predict bacteremia in patients with community-acquired pneumonia in the Emergency Department]. / Utilidad del modelo 5MPB-Toledo para predecir bacteriemia en el paciente con neumonía adquirida en la comunidad en el Servicio de Urgencias.

OBJECTIVE: To analyse a new risk score to predict bacteremia in the patients with Community-acquired Pneumonia (CAP) in the emergency departments. METHODS: Prospective and multicenter observational cohort study of the blood cultures ordered in 74 Spanish emergency departments for patients with CAP seen from November 1, 2019, to March 31, 2020. The predictive ability of the model was analyzed with the area under the Receiver Operating Characteristic curve (AUC-ROC). The prognostic performance for true bacteremia was calculated with the chosen cut-off for getting the sensitivity, specificity, positive predictive value and negative predictive value. RESULTS: A total of 1,020 blood samples wered cultured. True cases of bacteremia were confirmed in 162 (15.9%). The remaining 858 cultures (84.1%) wered negative. And, 59 (5.8%) were judged to be contaminated. The model´s area under the receiver operating characteristic curve was 0.915 (95% CI, 0.898-0.933). The prognostic performance with a model´s cut-off value of ≥ 5 points achieved 97.5% (95% CI, 95.1-99.9) sensitivity, 73.2% (95% CI, 70.2-76.2) specificity, 40.9% (95% CI, 36.4-45.1) positive predictive value and 99.4% (95% CI, 99.1-99.8) negative predictive value. CONCLUSIONS: The 5MPB-Toledo score is useful for predicting bacteremia in the patients with CAP seen in the emergency departments.

[Recommendations for the care of patients with community-acquired pneumonia in the Emergency Department]. / Recomendaciones para la atención del paciente con neumonía adquirida en la comunidad en los Servicios de Urgencias.

The incidence of community-acquired pneumonia (CAP) ranges from 2-15 cases / 1,000 inhabitants / year, being higher in those older than 65 years and in patients with high co-morbidity. Around 75% of all CAP diagnosed are treated in the Emergency Department (ED). The CAP represents the main cause for sepsis and septic shock in ED, and the most frequent cause of death and admission to the Intensive Care Unit (ICU) due to infectious disease. Overall mortality is 10-14% according to age and associated risk factors. Forty to 60% of CAP will require hospital admission, including observation units (with very variable ranges from 22-65% according to centers, seasonal of the year and patients´ characteristics). Between the admissions, 2-10% will be in the ICU. All of previously mentioned reflects the importance of the CAP in the ED, as well as the "impact of the emergency care on the patient with CAP", as it is the establishment where the initial, but key decisions, are made and could condition the outcome of the illness. It is known the great variability among physicians in the diagnostic and therapeutic management of CAP, which is one of the reasons that explains the great differences in the admission rates, achievement of the microbiological diagnosis, request for complementary studies, the choice of antimicrobial treatment, or the diversity of applied care. In this sense, the implementation of clinical practice guidelines with the use of the severity scores and the new tools available, such as biomarkers, can improve patient care with CAP in ED. Therefore, a multidisciplinary group of emergency professionals and specialists involved in the care process of CAP has designed a guideline with several recommendations for decisions-making during the key moments in patients with CAP attended in the ED.