Utilidad de la región medial de la pro-adrenomodulina para la detección de bacteriemia verdadera en pacientes mayores atendidos en urgencias por sospecha de infección / Utility of the medial region of pro-adrenomodulin for the detection of true bacteremia in elderly patients treated in the emergency department for suspected infection

Introducción. La predicción de bacteriemia en urgencias es importante para la toma de decisiones iniciales. La población mayor un reto diagnóstico. El objetivo fue evaluar la capacidad de la región medial de la pro-adrenomodulina (MR-proADM) para identificar bacteriemia verdadera (BV) en pacientes mayores atendidos en tres servicios de urgencias. Metodología. Estudio observacional incluyendo pacientes ≥75 años atendidos por sospecha de infección en los que se extrajo un hemocultivo (HC). Se recogieron variables sociodemográficas, comorbilidad, hemodinámicas, analíticas y biomarcadores [MR-proADM, procalcitonina (PCT), proteína C reactiva (PCR) y lactato]. La variable de resultado fue un verdadero positivo en el hemocultivo. Resultados. Se incluyeron 109 pacientes con edad media de 83 (DE 5,5) años. En 22 pacientes (20,2%) se obtuvo un diagnóstico final de BV. Las variables independientes para predecirla fueron PCT (OR13,9; IC95%: 2,702-71,703; p=0,002), MR-proADM (OR4,081; IC95%: 1,026-16,225; p=0,046) y temperatura (OR 2,171; IC95%: 1,109-4,248; p=0,024). Considerando el punto de corte con mayor rendimiento diagnóstico para el MR-proADM (2,13 mg/dl), se obtuvo una sensibilidad (Se) de 73%, una especificidad (E) de 71%, un valor predictivo positivo (VPP) de 39%, un valor predictivo negativo (VPN) de 91%, un coeficiente de verosimilitud positivo (LHR+) de 2,53 y un coeficiente de verosimilitud negativo (LHR-) de 0,38; para PCT (0,76 mg/dl) se obtuvo una Se de 90%, E de 65%, VPP de 40%, VPN de 96%, LHR+ 2,64 y un LHR– de 0,14. Al combinar ambos, se observó una Se de 69%, E de 84%, VPP de 52%, VPN de 91%, LHR+ de 4,24 y un LHR- de 0,38. Conclusión. Niveles elevados de PCT y MR-proADM se asocian a un riesgo incrementado de BV y la combinación de ambos mejora la capacidad para identificar estos pacientes. (AU)

Background. The prediction of bacteremia in the emergency department (ER) is important for initial decision-making. The elderly population is a diagnosis challenge. The objective was to evaluate the accuracy of mid regional pro-adrenomedullin (MR-proADM) to identify true bacteremia (BV) in elderly patients attended in 3 hospital emergency departments. Methods. Observational study including patients ≥75 years of age or older attended in the ER for suspected infection in whom a blood culture (BC) was extracted. Sociodemographic, comorbidity, hemodynamic and analytical variables, biomarkers [MR-proADM, procalcitonin (PCT), C-reactive protein (CRP) and lactate] and final diagnosis were collected. The primary outcome was a true positive on a blood culture. Results. A total of 109 patients with a mean age of 83 (SD: 5.5) years were included. A final diagnosis of BV was obtained in 22 patients (20.2%). The independent variables to predict it were PCT (OR: 13.9; CI95%: 2.702-71.703; p=0.002), MR-proADM (OR: 4.081; CI95%: 1.026-16.225; p=0.046) and temperature (OR: 2.171; CI95%: 1.109-4.248; p=0.024). Considering the cut-off point for MR-proADM (2.13 mg/dl), a sensitivity (Se) of 73%, specificity (E) of 71%, a positive predictive value (PPV) of 39%, a negative predictive value (NPV) of 91%, a positive likelihood ratio (LHR+) of 2.53 and a negative likelihood ratio (LHR-) of 0.38; for PCT (0.76 mg/dl) a Se of 90%, E of 65%, PPV of 40%, NPV of 96%, LHR+ 2,64 and a LHR- of 0.14 were obtained. When combining both, a Se of 69%, E of 84%, PPV of 52%, NPV of 91%, LHR+ of 4.24 and LHR- of 0.38 were observed. Conclusions. Elevated levels of PCT and MR-proADM were independently associated with an increased risk of BV and the combination of both improves the accuracy to identify these patients. (AU)

Safety and Revisit Related to Discharge the Sixty-one Spanish Emergency Department Medical Centers Without Hospitalization in Patients with COVID-19 Pneumonia. A Prospective Cohort Study UMC-Pneumonia COVID-19

ABSTRACT Background: Information is needed on the safety and efficacy of direct discharge from the emergency department (ED) of patients with COVID-19 pneumonia. Objectives: The objectives of the study were to study the variables associated with discharge from the ED in patients presenting with COVID-19 pneumonia, and study ED revisits related to COVID-19 at 30 days (EDR30d). Methods: Multicenter study of the SIESTA cohort including 1198 randomly selected COVID patients in 61 EDs of Spanish medical centers from March 1, 2020, to April 30, 2020. We collected baseline and related characteristics of the acute episode and calculated the adjusted odds ratios (aOR) for ED discharge. In addition, we analyzed the variables related to EDR30d in discharged patients. Results: We analyzed 859 patients presenting with COVID-19 pneumonia, 84 (9.8%) of whom were discharged from the ED. The variables independently associated with discharge were being a woman (aOR 1.890; 95%CI 1.176-3.037), age < 60 years (aOR 2.324; 95%CI 1.353-3.990), and lymphocyte count > 1200/mm3 (aOR 4.667; 95%CI 1.045-20.839). The EDR30d of the ED discharged group was 40.0%, being lower in women (aOR 0.368; 95%CI 0.142-0.953). A total of 130 hospitalized patients died (16.8%) as did two in the group discharged from the ED (2.4%) (OR 0.121; 95%CI 0.029-0.498). Conclusion: Discharge from the ED in patients with COVID-19 pneumonia was infrequent and was associated with few variables of the episode. The EDR30d was high, albeit with a low mortality.

Utilidad del modelo 5MPB-Toledo para predecir bacteriemia en el paciente anciano / Usefulness of the 5MPB-Toledo model to predict bacteremia in the elderly patient

Resumen Objetivo: Analizar la utilidad del modelo predictivo de bacteriemia (5MPB-Toledo) en los mayores de 65 años atendidos por infección en el servicio de urgencias (SU). Material y Método: Estudio observacional prospectivo y multicéntrico de los hemocultivos (HC) obtenidos en pacientes mayores de 65 años atendidos por infección en 66 SU españoles desde el 1 de diciembre 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 de los puntos de corte (PC) del modelo elegido con los cálculos de la sensibilidad, la especificidad, el valor predictivo positivo y el valor predictivo negativo. Resultados: Se incluyeron 2.401 episodios de HC extraídos. De ellos, se consideró como bacteriemia verdadera a 579 (24,11%) y como HC negativo a 1.822 (75,89%). Entre los negativos, 138 (5,74%) se consideraron contaminados. Se categorizó a los pacientes en bajo (0-2 puntos), moderado (3-5 puntos) y alto (6-8 puntos) riesgo, con una probabilidad de bacteriemia de 1,2%, 18,1% y 80,7%, respectivamente. El ABC-COR del modelo tras remuestreo fue de 0,908 (IC 95%: 0,897-0,924). El rendimiento diagnóstico del modelo, considerando un PC ≥ 5 puntos, obtiene una sensibilidad de 94% (IC 95%:92-96), especificidad de 77% (IC 95%:76-79) y un valor predictivo negativo de 97% (IC 95%:96-98). Conclusión: El modelo 5MPB-Toledo es de utilidad para predecir bacteriemia en los mayores de 65 años atendidos en el SU por un episodio de infección.

Abstract Objective: To analyse a risk score to predict bacteremia (MPB5-Toledo) in the patients aged older 65 years seen in the emergency departments (ED) due to infections. Patients and Methods: Prospective and multicenter observational cohort study of the blood cultures (BC) ordered in 66 Spanish ED for patients aged older 65 years seen from December 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 prognostic performance for true bacteremia was calculated with the cut-off values chosen for getting the sensitivity, specificity, positive predictive value and negative predictive value. Results: A total of 2.401 blood samples wered cultured. True cases of bacteremia were confirmed in 579 (24.11%). The remaining 1.822 cultures (75.89%) wered negative. And, 138 (5.74%) were judged to be contaminated. Low risk for bacteremia was indicated by a score of 0 to 2 points, intermediate risk by 3 to 5 points, and high risk by 6 to 8 points. Bacteremia in these 3 risk groups was predicted for 1.2%, 18.1%, and 80.7%, respectively. The model´s area under the receiver ope rating characteristic curve was 0.908 (95% CI, 0.897-0.924). The prognostic performance with a model´s cut-off value of ≥ 5 points achieved 94% (95% CI: 92-96) sensitivity, 77% (95% CI: 76-79) specificity, and negative predictive value of 97% (95% CI: 96-98). Conclusion: The 5MPB-Toledo score is useful for predicting bacteremia in the patients aged older 65 years seen in the emergency departments due to infections.

Mapa de la situación actual de la atención a la sepsis en los servicios de urgencias españoles / Current situation of sepsis care in Spanish emergency departments

Objetivo. Describir el abordaje que se realiza a los pacientescon sospecha de sepsis en los servicios de urgencias hospitalarios (SUH) españoles y analizar si existen diferencias atendiendoal tamaño del hospital y la afluencia a urgencias en el territorio.Método. Encuesta estructurada a los responsables de los282 SUH públicos que atienden adultos 24 horas/día, 365 días/año. Se preguntó sobre asistencia y manejo en urgencias en laatención a pacientes con sospecha de sepsis. Los resultados secomparan según tamaño del hospital (grande ≥ 500 camas vsmedio-pequeño < 500) y afluencia en urgencias (alta ≥ 200visitas/día vs media-baja < 200).Resultados. Respondieron 250 SUH españoles (89%). En163 (65%) SUH se dispone de protocolos de sepsis. La medianade sepsis semanales atendidas variaban desde 0-5 por semana en 39 (71%) SUH, 6-10 por semana en 10 (18%), 11-15por semana en 4 (7%), y más de 15 activaciones por semanaen 3 centros (3,6%). Los criterios utilizados para la activacióndel código sepsis (CS) fueron el qSOFA/SOFA en 105 (63,6%) delos hospitales, SIRS en 6 (3,6%), mientras que en 49 (29,7%)utilizaban ambos criterios de forma simultanea. En 79 centrosel CS estaba informatizado y en 56 existían herramientas deayuda a la toma de decisiones. Un 48% (79 de 163) de los SUHdisponían de datos de cumplimiento de medidas. En el 61%(99 de 163) de SUH existía formación en sepsis y en el 56% (55de 99) ésta era periódica. Atendiendo al tamaño del hospital,los hospitales grandes participaban más frecuentemente comoreceptores de enfermos con CS y disponían de servicio/unidadde infecciosas, de sepsis y de corta estancia, microbiólogo einfectólogo de guardia.Conclusión. la mayoría de los SUH disponen de protocolos de CS, pero existe margen de mejora. La informatización ydesarrollo de alertas para el diagnóstico y tratamiento tienenaún un gran recorrido en los SUH. (AU)

Objective. To describe the approach to the patients withsuspected sepsis in the Spanish emergency department hospitals (ED) and analyze whether there are differences according to the size of the hospital and the number of visits to theemergency room.Method. Structured survey of those responsible for the282 public EDs that serve adults 24 hours a day, 365 days ayear. It was asked about assistance and management in theemergency room in the care of patients with suspected sepsis.The results are compared according to hospital size (large ≥500 beds vs medium-small <500) and influx to the emergencyroom (discharge ≥ 200 visits / day vs medium-low <200).Results. A total of 250 Spanish EDs responded (89%).Sepsis protocols are available in 163 (65%) EDs median weekly sepsis treated ranged from 0-5 per week in 39 (71%) ED,6-10 per week in 10 (18%), 11-15 per week in 4 (7%), andmore than 15 activations per week in 3 centers (3.6%). Thecriteria used for sepsis diagnosis were the qSOFA/SOFA in 105(63.6%) of the hospitals, SIRS in 6 (3.6%), while in 49 (29.7%)they used both criteria simultaneously. In 79 centers, the sepsis diagnosis was computerized, and in 56 there were tools tohelp decision-making. 48% (79 of 163) of the EDs had dataon bundles compliance. In 61% (99 of 163) of EDs there wastraining in sepsis and in 56% (55 of 99) it was periodic. Considering the size of the hospital, large hospitals participated more frequently as recipients of patients with sepsis and hadan infectious, sepsis and short-stay unit, a microbiologist andinfectious disease specialist on duty.Conclusion. Most EDs have sepsis protocols, but there isroom for improvement. The computerization and developmentof alerts for diagnosis and treatment still have a long way togo in EDs (AU)

Safety and Revisit Related to Discharge the Sixty-one Spanish Emergency Department Medical Centers Without Hospitalization in Patients with COVID-19 Pneumonia. A Prospective Cohort Study UMC-Pneumonia COVID-19.

BACKGROUND: Information is needed on the safety and efficacy of direct discharge from the emergency department (ED) of patients with COVID-19 pneumonia. OBJECTIVES: The objectives of the study were to study the variables associated with discharge from the ED in patients presenting with COVID-19 pneumonia, and study ED revisits related to COVID-19 at 30 days (EDR30d). METHODS: Multicenter study of the SIESTA cohort including 1198 randomly selected COVID patients in 61 EDs of Spanish medical centers from March 1, 2020, to April 30, 2020. We collected baseline and related characteristics of the acute episode and calculated the adjusted odds ratios (aOR) for ED discharge. In addition, we analyzed the variables related to EDR30d in discharged patients. RESULTS: We analyzed 859 patients presenting with COVID-19 pneumonia, 84 (9.8%) of whom weredischarged from the ED. The variables independently associated with discharge were being a woman (aOR 1.890; 95%CI 1.176 3.037), age < 60 years (aOR 2.324; 95%CI 1.353-3.990), and lymphocyte count > 1200/mm3 (aOR 4.667; 95%CI 1.045-20.839). The EDR30d of the ED discharged group was 40.0%, being lower in women (aOR 0.368; 95%CI 0.142-0.953). A totalof 130 hospitalized patients died (16.8%) as did two in the group discharged from the ED (2.4%) (OR 0.121; 95%CI 0.029-0.498). CONCLUSION: Discharge from the ED in patients with COVID-19 pneumonia was infrequent and was associated with few variables of the episode. The EDR30d was high, albeit with a low mortality.

Validación del modelo predictivo de bacteriemia (5MPB-Toledo) en los pacientes atendidos en el servicio de urgencias por infección / Validation of a predictive model for bacteraemia (MPB5-Toledo) in the patients seen in emergency departments due to infections

ObjetivoValidar un modelo sencillo de riesgo para predecir bacteriemia (5MPB-Toledo) en los pacientes atendidos en los servicios de urgencias hospitalarios (SUH) por un episodio de infección.MétodosEstudio observacional de cohortes prospectivo y multicéntrico de los hemocultivos (HC) obtenidos en 74 SUH españoles en los pacientes adultos (≥18 años) atendidos por infección desde el 1 de octubre de 2019 hasta el 29 de febrero 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 de los puntos de corte (PC) del modelo elegidos con los cálculos de la sensibilidad, la especificidad, el valor predictivo positivo y el valor predictivo negativo.ResultadosSe incluyeron 3.843 episodios de HC extraídos. De ellos, se consideraron como bacteriemias verdaderas 839 (21,83%) y como HC negativos 3.004 (78,17%). Entre los negativos, 172 (4,47%) se consideraron contaminados. Se categorizó a los pacientes en bajo (0-2 puntos), moderado (3-5 puntos) y alto (6-8 puntos) riesgo, con una probabilidad de bacteriemia de 1,5, 16,8 y 81,6%, respectivamente. El ABC-COR del modelo tras remuestreo fue de 0,930 (IC 95%: 0,916-0,948). El rendimiento diagnóstico del modelo con un PC≥5 puntos consigue una sensibilidad del 94,76% (IC 95%: 92,97-96,12), especificidad del 81,56% (IC 95%: 80,11-82,92) y un valor predictivo negativo del 98,24% (IC 95%: 97,62-98,70).ConclusiónEl modelo 5MPB-Toledo es de utilidad para predecir bacteriemia en los pacientes atendidos en el SUH por un episodio de infección.

ObjectiveTo validate a simple risk score to predict bacteremia (MPB5-Toledo) in patients seen in the emergency departments (ED) due to infections.MethodsProspective and multicenter observational cohort study of the blood cultures (BC) ordered in 74 Spanish ED for adults (aged 18 or older) seen from from October 1, 2019, to February 29, 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 cut-off values chosen for getting the sensitivity, specificity, positive predictive value and negative predictive value.ResultsA total of 3.843 blood samples wered cultured. True cases of bacteremia were confirmed in 839 (21.83%). The remaining 3.004 cultures (78.17%) were negative. Among the negative, 172 (4.47%) were judged to be contaminated. Low risk for bacteremia was indicated by a score of 0 to 2 points, intermediate risk by 3 to 5 points, and high risk by 6 to 8 points. Bacteremia in these 3 risk groups was predicted for 1.5%, 16.8%, and 81.6%, respectively. The model's area under the receiver operating characteristic curve was 0.930 (95% CI, 0.916-0.948). The prognostic performance with a model's cut-off value of ≥ 5 points achieved 94.76% (95% CI: 92.97-96.12) sensitivity, 81.56% (95% CI: 80.11-82.92) specificity, and negative predictive value of 98.24% (95% CI: 97.62-98.70).ConclusionThe 5MPB-Toledo score is useful for predicting bacteremia in patients attended in hospital emergency departments for infection.

High-titre methylene blue-treated convalescent plasma as an early treatment for outpatients with COVID-19: a randomised, placebo-controlled trial.

BACKGROUND: Convalescent plasma has been proposed as an early treatment to interrupt the progression of early COVID-19 to severe disease, but there is little definitive evidence. We aimed to assess whether early treatment with convalescent plasma reduces the risk of hospitalisation and reduces SARS-CoV-2 viral load among outpatients with COVID-19. METHODS: We did a multicentre, double-blind, randomised, placebo-controlled trial in four health-care centres in Catalonia, Spain. Adult outpatients aged 50 years or older with the onset of mild COVID-19 symptoms 7 days or less before randomisation were eligible for enrolment. Participants were randomly assigned (1:1) to receive one intravenous infusion of either 250-300 mL of ABO-compatible high anti-SARS-CoV-2 IgG titres (EUROIMMUN ratio ≥6) methylene blue-treated convalescent plasma (experimental group) or 250 mL of sterile 0·9% saline solution (control). Randomisation was done with the use of a central web-based system with concealment of the trial group assignment and no stratification. To preserve masking, we used opaque tubular bags that covered the investigational product and the infusion catheter. The coprimary endpoints were the incidence of hospitalisation within 28 days from baseline and the mean change in viral load (in log10 copies per mL) in nasopharyngeal swabs from baseline to day 7. The trial was stopped early following a data safety monitoring board recommendation because more than 85% of the target population had received a COVID-19 vaccine. Primary efficacy analyses were done in the intention-to-treat population, safety was assessed in all patients who received the investigational product. This study is registered with ClinicalTrials.gov, NCT04621123. FINDINGS: Between Nov 10, 2020, and July 28, 2021, we assessed 909 patients with confirmed COVID-19 for inclusion in the trial, 376 of whom were eligible and were randomly assigned to treatment (convalescent plasma n=188 [serum antibody-negative n=160]; placebo n=188 [serum antibody-negative n=166]). Median age was 56 years (IQR 52-62) and the mean symptom duration was 4·4 days (SD 1·4) before random assignment. In the intention-to-treat population, hospitalisation within 28 days from baseline occurred in 22 (12%) participants who received convalescent plasma versus 21 (11%) who received placebo (relative risk 1·05 [95% CI 0·78 to 1·41]). The mean change in viral load from baseline to day 7 was -2·41 log10 copies per mL (SD 1·32) with convalescent plasma and -2·32 log10 copies per mL (1·43) with placebo (crude difference -0·10 log10 copies per mL [95% CI -0·35 to 0·15]). One participant with mild COVID-19 developed a thromboembolic event 7 days after convalescent plasma infusion, which was reported as a serious adverse event possibly related to COVID-19 or to the experimental intervention. INTERPRETATION: Methylene blue-treated convalescent plasma did not prevent progression from mild to severe illness and did not reduce viral load in outpatients with COVID-19. Therefore, formal recommendations to support the use of convalescent plasma in outpatients with COVID-19 cannot be concluded. FUNDING: Grifols, Crowdfunding campaign YoMeCorono.

Validation of a predictive model for bacteraemia (MPB5-Toledo) in the patients seen in emergency departments due to infections.

OBJECTIVE: To validate a simple risk score to predict bacteremia (MPB5-Toledo) in patients seen in the emergency departments (ED) due to infections. METHODS: Prospective and multicenter observational cohort study of the blood cultures (BC) ordered in 74 Spanish ED for adults (aged 18 or older) seen from October 1, 2019, to February 29, 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 cut-off values chosen for getting the sensitivity, specificity, positive predictive value and negative predictive value. RESULTS: A total of 3.843 blood samples wered cultured. True cases of bacteremia were confirmed in 839 (21.83%). The remaining 3.004 cultures (78.17%) were negative. Among the negative, 172 (4.47%) were judged to be contaminated. Low risk for bacteremia was indicated by a score of 0-2 points, intermediate risk by 3-5 points, and high risk by 6-8 points. Bacteremia in these 3 risk groups was predicted for 1.5%, 16.8%, and 81.6%, respectively. The model's area under the receiver operating characteristic curve was 0.930 (95% CI, 0.916-0.948). The prognostic performance with a model's cut-off value of ≥5 points achieved 94.76% (95% CI: 92.97-96.12) sensitivity, 81.56% (95% CI: 80.11-82.92) specificity, and negative predictive value of 98.24% (95% CI: 97.62-98.70). CONCLUSION: The 5MPB-Toledo score is useful for predicting bacteremia in patients attended in hospital emergency departments for infection.

A bacteraemia risk prediction model: development and validation in an emergency medicine population.

OBJECTIVE: Design a risk model to predict bacteraemia in patients attended in emergency departments (ED) for an episode of infection. METHODS: This was a national, prospective, multicentre, observational cohort study of blood cultures (BC) collected from adult patients (≥ 18 years) attended in 71 Spanish EDs from October 1 2019 to March 31, 2020. Variables with a p value < 0.05 were introduced in the univariate analysis together with those of clinical significance. The final selection of variables for the scoring scale was made by logistic regression with selection by introduction. The results obtained were internally validated by dividing the sample in a derivation and a validation cohort. RESULTS: A total of 4,439 infectious episodes were included. Of these, 899 (20.25%) were considered as true bacteraemia. A predictive model for bacteraemia was defined with seven variables according to the Bacteraemia Prediction Model of the INFURG-SEMES group (MPB-INFURG-SEMES). The model achieved an area under the curve-receiver operating curve of 0.924 (CI 95%:0.914-0.934) in the derivation cohort, and 0.926 (CI 95%: 0.910-0.942) in the validation cohort. Patients were then split into ten risk categories, and had the following rates of risk: 0.2%(0 points), 0.4%(1 point), 0.9%(2 points), 1.8%(3 points), 4.7%(4 points), 19.1% (5 points), 39.1% (6 points), 56.8% (7 points), 71.1% (8 points), 82.7% (9 points) and 90.1% (10 points). Findings were similar in the validation cohort. The cut-off point of five points provided the best precision with a sensitivity of 95.94%, specificity of 76.28%, positive predictive value of 53.63% and negative predictive value of 98.50%. CONCLUSION: The MPB-INFURG-SEMES model may be useful for the stratification of risk of bacteraemia in adult patients with infection in EDs, together with clinical judgement and other variables independent of the process and the patient.

Incidence, clinical characteristics, risk factors and outcomes of meningoencephalitis in patients with COVID-19.

We investigated the incidence, clinical characteristics, risk factors, and outcome of meningoencephalitis (ME) in patients with COVID-19 attending emergency departments (ED), before hospitalization. We retrospectively reviewed all COVID patients diagnosed with ME in 61 Spanish EDs (20% of Spanish EDs, COVID-ME) during the COVID pandemic. We formed two control groups: non-COVID patients with ME (non-COVID-ME) and COVID patients without ME (COVID-non-ME). Unadjusted comparisons between cases and controls were performed regarding 57 baseline and clinical characteristics and 4 outcomes. Cerebrospinal fluid (CSF) biochemical and serologic findings of COVID-ME and non-COVID-ME were also investigated. We identified 29 ME in 71,904 patients with COVID-19 attending EDs (0.40‰, 95%CI=0.27-0.58). This incidence was higher than that observed in non-COVID patients (150/1,358,134, 0.11‰, 95%CI=0.09-0.13; OR=3.65, 95%CI=2.45-5.44). With respect to non-COVID-ME, COVID-ME more frequently had dyspnea and chest X-ray abnormalities, and neck stiffness was less frequent (OR=0.3, 95%CI=0.1-0.9). In 69.0% of COVID-ME, CSF cells were predominantly lymphocytes, and SARS-CoV-2 antigen was detected by RT-PCR in 1 patient. The clinical characteristics associated with a higher risk of presenting ME in COVID patients were vomiting (OR=3.7, 95%CI=1.4-10.2), headache (OR=24.7, 95%CI=10.2-60.1), and altered mental status (OR=12.9, 95%CI=6.6-25.0). COVID-ME patients had a higher in-hospital mortality than non-COVID-ME patients (OR=2.26; 95%CI=1.04-4.48), and a higher need for hospitalization (OR=8.02; 95%CI=1.19-66.7) and intensive care admission (OR=5.89; 95%CI=3.12-11.14) than COVID-non-ME patients. ME is an unusual form of COVID presentation (<0.5‰ cases), but is more than 4-fold more frequent than in non-COVID patients attending the ED. As the majority of these MEs had lymphocytic predominance and in one patient SARS-CoV-2 antigen was detected in CSF, SARS-CoV-2 could be the cause of most of the cases observed. COVID-ME patients had a higher unadjusted in-hospital mortality than non-COVID-ME patients.

Validation of a predictive model for bacteraemia (MPB5-Toledo) in the patients seen in emergency departments due to infections. / Validación del modelo predictivo de bacteriemia (5MPB-Toledo) en los pacientes atendidos en el servicio de urgencias por infección.

OBJECTIVE: To validate a simple risk score to predict bacteremia (MPB5-Toledo) in patients seen in the emergency departments (ED) due to infections. METHODS: Prospective and multicenter observational cohort study of the blood cultures (BC) ordered in 74 Spanish ED for adults (aged 18 or older) seen from from October 1, 2019, to February 29, 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 cut-off values chosen for getting the sensitivity, specificity, positive predictive value and negative predictive value. RESULTS: A total of 3.843 blood samples wered cultured. True cases of bacteremia were confirmed in 839 (21.83%). The remaining 3.004 cultures (78.17%) were negative. Among the negative, 172 (4.47%) were judged to be contaminated. Low risk for bacteremia was indicated by a score of 0 to 2 points, intermediate risk by 3 to 5 points, and high risk by 6 to 8 points. Bacteremia in these 3 risk groups was predicted for 1.5%, 16.8%, and 81.6%, respectively. The model's area under the receiver operating characteristic curve was 0.930 (95% CI, 0.916-0.948). The prognostic performance with a model's cut-off value of ≥ 5 points achieved 94.76% (95% CI: 92.97-96.12) sensitivity, 81.56% (95% CI: 80.11-82.92) specificity, and negative predictive value of 98.24% (95% CI: 97.62-98.70). CONCLUSION: The 5MPB-Toledo score is useful for predicting bacteremia in patients attended in hospital emergency departments for infection.

Frequency, Risk Factors, Clinical Characteristics, and Outcomes of Spontaneous Pneumothorax in Patients With Coronavirus Disease 2019: A Case-Control, Emergency Medicine-Based Multicenter Study.

BACKGROUND: Recent reports of patients with coronavirus disease 2019 (COVID-19) developing pneumothorax correspond mainly to case reports describing mechanically ventilated patients. The real incidence, clinical characteristics, and outcome of spontaneous pneumothorax (SP) as a form of COVID-19 presentation remain to be defined. RESEARCH QUESTION: Do the incidence, risk factors, clinical characteristics, and outcomes of SP in patients with COVID-19 attending EDs differ compared with COVID-19 patients without SP and non-COVID-19 patients with SP? STUDY DESIGN AND METHODS: This case-control study retrospectively reviewed all patients with COVID-19 diagnosed with SP (case group) in 61 Spanish EDs (20% of Spanish EDs) and compared them with two control groups: COVID-19 patients without SP and non-COVID-19 patients with SP. The relative frequencies of SP were estimated in COVID-19 and non-COVID-19 patients in the ED, and annual standardized incidences were estimated for both populations. Comparisons between case subjects and control subjects included 52 clinical, analytical, and radiologic characteristics and four outcomes. RESULTS: We identified 40 occurrences of SP in 71,904 patients with COVID-19 attending EDs (0.56‰; 95% CI, 0.40‰-0.76‰). This relative frequency was higher than that among non-COVID-19 patients (387 of 1,358,134, 0.28‰; 95% CI, 0.26‰-0.32‰; OR, 1.93; 95% CI, 1.41-2.71). The standardized incidence of SP was also higher in patients with COVID-19 (34.2 vs 8.2/100,000/year; OR, 4.19; 95% CI, 3.64-4.81). Compared with COVID-19 patients without SP, COVID-19 patients developing SP more frequently had dyspnea and chest pain, low pulse oximetry readings, tachypnea, and increased leukocyte count. Compared with non-COVID-19 patients with SP, case subjects differed in 19 clinical variables, the most prominent being a higher frequency of dysgeusia/anosmia, headache, diarrhea, fever, and lymphopenia (all with OR > 10). All the outcomes measured, including in-hospital death, were worse in case subjects than in both control groups. INTERPRETATION: SP as a form of COVID-19 presentation at the ED is unusual (< 1‰ cases) but is more frequent than in the non-COVID-19 population and could be associated with worse outcomes than SP in non-COVID-19 patients and COVID-19 patients without SP.

A multidrug-resistant microorganism infection risk prediction model: development and validation in an emergency medicine population.

The aim was to develop a predictive model of infection by multidrug-resistant microorganisms (MDRO). A national, retrospective cohort study was carried out including all patients attended for an infectious disease in 54 Spanish Emergency Departments (ED), in whom a microbiological isolation was available from a culture obtained during their attention in the ED. A MDRO infection prediction model was created in a derivation cohort using backward logistic regression. Those variables significant at p < 0.05 assigned an integer score proportional to the regression coefficient. The model was then internally validated by k-fold cross-validation and in the validation cohort. A total of 5460 patients were included; 1345 (24.6%) were considered to have a MDRO infection. Twelve independent risk factors were identified in the derivation cohort and were combined into an overall score, the ATM (assessment of threat for MDRO) score. The model achieved an area under the curve-receiver operating curve of 0.76 (CI 95% 0.74-0.78) in the derivation cohort and 0.72 (CI 95% 0.70-0.75) in the validation cohort (p = 0.0584). Patients were then split into 6 risk categories and had the following rates of risk: 7% (0-2 points), 16% (3-5 points), 24% (6-9 points), 33% (10-14 points), 47% (15-21 points), and 71% (> 21 points). Findings were similar in the validation cohort. Several patient-specific factors were independently associated with MDRO infection risk. When integrated into a clinical prediction rule, higher risk scores and risk classes were related to an increased risk for MDRO infection. This clinical prediction rule could be used by providers to identify patients at high risk and help to guide antibiotic strategy decisions, while accounting for clinical judgment.

Biomarkers and clinical scores to identify patient populations at risk of delayed antibiotic administration or intensive care admission.

BACKGROUND: The performance of blood biomarkers (mid-regional proadrenomedullin (MR-proADM), procalcitonin (PCT), C-reactive protein (CRP), and lactate) and clinical scores (Sequential Organ Failure Assessment (SOFA), National Early Warning Score (NEWS), and quick SOFA) was compared to identify patient populations at risk of delayed treatment initiation and disease progression after presenting to the emergency department (ED) with a suspected infection. METHODS: A prospective observational study across three EDs. Biomarker and clinical score values were calculated upon presentation and 72 h, and logistic and Cox regression used to assess the strength of association. Primary outcomes comprised of 28-day mortality prediction and delayed antibiotic administration or intensive care (ICU) admission, whilst secondary outcomes identified subsequent disease progression. RESULTS: Six hundred eighty-four patients were enrolled with hospitalisation, ICU admission, and infection-related 28-day mortality rates of 72.8%, 3.4%, and 4.4%, respectively. MR-proADM and NEWS had the strongest association with hospitalisation and the requirement for antibiotic administration, whereas MR-proADM alone had the strongest association with ICU admission (OR [95% CI]: 5.8 [3.1 - 10.8]) and mortality (HR [95% CI]: 3.8 [2.2 - 6.5]). Patient subgroups with high MR-proADM concentrations (≥ 1.77 nmol/L) and low NEWS (< 5 points) values had significantly higher rates of ICU admission (8.1% vs 1.6%; p < 0.001), hospital readmission (18.9% vs. 5.9%; p < 0.001), infection-related mortality (13.5% vs. 0.2%; p < 0.001), and disease progression (29.7% vs. 4.9%; p < 0.001) than corresponding patients with low MR-proADM concentrations. ICU admission was delayed by 1.5 [0.25 - 5.0] days in patients with high MR-proADM and low NEWS values compared to corresponding patients with high NEWS values, despite similar 28-day mortality rates (13.5% vs. 16.5%). Antibiotics were withheld in 17.4% of patients with high MR-proADM and low NEWS values, with higher subsequent rates of ICU admission (27.3% vs. 4.8%) and infection-related hospital readmission (54.5% vs. 14.3%) compared to those administered antibiotics during ED treatment. CONCLUSIONS: Patients with low severity signs of infection but high MR-proADM concentrations had an increased likelihood of subsequent disease progression, delayed antibiotic administration or ICU admission. Appropriate triage decisions and the rapid use of antibiotics in patients with high MR-proADM concentrations may constitute initial steps in escalating or intensifying early treatment strategies.

Características de la prostatitis aguda en los pacientes ancianos atendidos en el servicio de urgencias / Characteristics of acute bacterial prostatitis in elderly patients attended in the Emergency Department

Objetivo: Comparar las características de la prostatitis aguda (PA) en los pacientes ancianos ≥75 años con los <75 años atendidos en un servicio de urgencias hospitalario (SU). Material y métodos: Estudio descriptivo observacional y prospectivo de los pacientes con PA atendidos de forma consecutiva durante un año en el SU de un hospital terciario. Se incluyen los datos relativos a la comorbilidad, episodios previos, clínica, microbiología, tratamiento, evolución a 30 días y se comparan los pacientes en función de la edad. Resultados: Se han incluido 241 episodios de PA con una edad media de 62,9+/-16 años y 64 (26,5%) con ≥75 años. Fueron positivos 104 de los 215 (48,4%) urocultivos y 25 de los 136 (18,4%) hemocultivos. El aislamiento más frecuente fue Escherichia coli con resistencias en los pacientes ancianos >30% para ciprofloxacino, amoxicilina-clavulánico y cotrimoxazol, y 15,4% de cepas productoras de beta-lactamasas de espectro extendido. En el análisis univariante la manipulación de la vía urinaria, los antecedentes de cáncer, la antibioterapia previa, la insuficiencia renal, la proporción de cepas de E. coli resistentes y el ingreso hospitalario resultaron más frecuentes en los pacientes ≥75 años. A pesar de ello, únicamente el tratamiento antibiótico inadecuado resultó significativamente más frecuente en los pacientes ancianos en el análisis multivariante (p=0,004). Conclusiones: Al establecer el tratamiento empírico inicial de la PA en el SU, especialmente en los pacientes ancianos, es importante tener en cuenta el patrón de resistencias a los antibióticos de uso más frecuente

Objective: To compare the characteristics of acute bacterial prostatitis between patients ≥75 years old with those <75 years old attended in the Emergency Department. Material and methods: A descriptive and observational study was conducted with a prospective follow-up including all consecutive patients with acute bacterial prostatitis that were admitted during one year to the Emergency Department of a tertiary-care hospital. Data were collected for demographic variables, comorbidities, clinical and microbiological findings, treatment, outcome, and re-consultation at 30 days follow-up. Patients were compared depending on age. Results: A total of 241 episodes of acute bacterial prostatitis were included. The mean age was 62.9+/-16 years, and 64 patients (26.5%) were ≥75 years old. In the microbiology findings, 104 out of 215 (48.4%) of urine cultures and 25 out of 136 (18.4%) blood cultures were positive. Escherichia coli was the most frequent isolation, with resistance rates in elderly patients above 30% for ciprofloxacin, amoxicillin-clavulanic, and cotrimoxazole, and 15.4% of extended spectrum beta-lactamase producing strains. In the univariate analysis, previous manipulation of the urinary tract, history of cancer, previous antibiotic treatment, resistant E. coli strains, renal impairment, and admission to the hospital were more frequent among patients ≥75 years. Nonetheless, in the multivariate analysis only inadequate empirical antibiotic treatment was found to be significantly more frequent in elderly patients (P=.004). Conclusions: Drug-resistance patterns to commonly used antibiotics should be considered when choosing empirical treatment for acute bacterial prostatitis in the Emergency Department setting, especially for patients ≥75 years

[Characteristics of acute bacterial prostatitis in elderly patients attended in the Emergency Department]. / Características de la prostatitis aguda en los pacientes ancianos atendidos en el servicio de urgencias.

OBJECTIVE: To compare the characteristics of acute bacterial prostatitis between patients ≥75 years old with those <75 years old attended in the Emergency Department. MATERIAL AND METHODS: A descriptive and observational study was conducted with a prospective follow-up including all consecutive patients with acute bacterial prostatitis that were admitted during one year to the Emergency Department of a tertiary-care hospital. Data were collected for demographic variables, comorbidities, clinical and microbiological findings, treatment, outcome, and re-consultation at 30 days follow-up. Patients were compared depending on age. RESULTS: A total of 241 episodes of acute bacterial prostatitis were included. The mean age was 62.9±16 years, and 64 patients (26.5%) were ≥75 years old. In the microbiology findings, 104 out of 215 (48.4%) of urine cultures and 25 out of 136 (18.4%) blood cultures were positive. Escherichia coli was the most frequent isolation, with resistance rates in elderly patients above 30% for ciprofloxacin, amoxicillin-clavulanic, and cotrimoxazole, and 15.4% of extended spectrum beta-lactamase producing strains. In the univariate analysis, previous manipulation of the urinary tract, history of cancer, previous antibiotic treatment, resistant E. coli strains, renal impairment, and admission to the hospital were more frequent among patients ≥75 years. Nonetheless, in the multivariate analysis only inadequate empirical antibiotic treatment was found to be significantly more frequent in elderly patients (P=.004). CONCLUSIONS: Drug-resistance patterns to commonly used antibiotics should be considered when choosing empirical treatment for acute bacterial prostatitis in the Emergency Department setting, especially for patients ≥75 years.

Poder pronóstico de mortalidad a corto plazo de los biomarcadores en los ancianos atendidos en Urgencias por infección / Prognostic power of biomarkers for short-term mortality in the elderly patients seen in Emergency Departments due to infections

Objetivos: Analizar y comparar el poder predictivo de mortalidad a 30 días de varios biomarcadores (proteína C reactiva, procalcitonina, lactato, suPAR y proadrenomedulina) en los pacientes ancianos que acuden al servicio de Urgencias (SU) por un episodio de infección. Y, secundariamente, comprobar si estos mejoran la capacidad pronóstica de los criterios de sepsis (síndrome de respuesta inflamatoria sistémica y quick Sepsis-related Organ Failure Assessment [qSOFA]). Métodos: Estudio observacional, prospectivo, multicéntrico y analítico. Se incluyó consecutivamente a pacientes de 75 o más años atendidos en 8 SU por un proceso infeccioso. Se analizaron 25 variables independientes (epidemiológicas, de comorbilidad, funcionales, clínicas y analíticas) que pudieran influir en la mortalidad a corto plazo (30 días). Resultados: Se incluyó a 136 pacientes, de los que 13 (9,5%) habían fallecido a los 30 días tras su consulta en el SU. La MRproADM es el biomarcador que consigue la mayor área bajo la curva ROC para predecir mortalidad a los 30 días (0,864; IC 95% 0,775-0,997; p < 0,001), con un punto de corte de mayor capacidad predictiva de 2,07 nmol/l, que ofrece una sensibilidad del 77% y una especificidad del 96%. La escala qSOFA ≥ 2 consigue un área bajo la curva ROC de 0,763 (IC 95% 0,623-0,903; p = 0,002), con una sensibilidad del 76% y una especificidad del 75%. El modelo combinado (MRproADM con qSOFA ≥2 ) mejora el área bajo la curva ROC a 0,878 (IC 95% 0,749-1; p < 0,001) y ofrece el mejor rendimiento pronóstico, con una sensibilidad del 69% y una especificidad del 97%. Conclusiones: En los pacientes ancianos que acuden al SU por un episodio de infección, la MRproADM presenta una capacidad pronóstica de mortalidad a los 30 días superior al resto de los biomarcadores, la qSOFA obtiene mayor rendimiento que los criterios de síndrome de respuesta inflamatoria sistémica, y el modelo combinado qSOFA ≥ 2 con MRproADM > 2,07nmol/l mejora el poder predictivo de qSOFA

Objectives: To analyse and compare 30-day mortality prognostic power of several biomarkers (C-reactive protein, procalcitonin, lactate, suPAR and pro-adremomedullin) in elderly patients seen in Emergency Departments (ED) due to infections. Secondly, if these could improve the prognostic accuracy of sepsis criteria (systemic inflammatory response syndrome and quick Sepsis-related Organ Failure Assessment [qSOFA]). Methods: A prospective, observational, multicentre and analytical study. Patients aged 75 years and older who were treated for infection in the ED of 8 participating hospitals were enrolled consecutively. An assessment was made of 25 independent variables (epidemiological, comorbidity, functional, clinical and analytical variables) that could influence short-term mortality (at 30 days). Results: The study included 136 patients, 13 (9.5%) of whom died within 30 days of visiting the ED. MR-proADM is the biomarker with the best area under the curve ROC to predict 30-day mortality (0.864; 95% CI 0.775-0.997; P <.001) with a prognostic cut-off > 2.07nmol/l, sensitivity of 77% and specificity of 96%. The qSOFA score ≥ 2 had an area under the curve ROC of 0.763 (95% CI 0.623-0.903; P=.002), sensitivity of 76% and specificity of 75%. The mixed model (MR-proADM plus qSOFA ≥ 2) improved the area under the curve ROC to 0.878 (95% CI 0.749-1; P < .001) with the best prognostic performance with sensitivity of 69% and specificity of 97%. Conclusions: MR-proADM showed the best performance for 30-day mortality prognostic power compared to other biomarkers in elderly patients seen in EDs due to infections. qSOFA score achieves better results than systemic inflammatory response syndrome, and the mixed model (qSOFA ≥ 2 plus MR-proADM > 2.07nmol/l) increased the predictive power of qSOFA

Prognostic power of biomarkers for short-term mortality in the elderly patients seen in Emergency Departments due to infections. / Poder pronóstico de mortalidad a corto plazo de los biomarcadores en los ancianos atendidos en Urgencias por infección.

OBJECTIVES: To analyse and compare 30-day mortality prognostic power of several biomarkers (C-reactive protein, procalcitonin, lactate, suPAR and pro-adremomedullin) in elderly patients seen in Emergency Departments (ED) due to infections. Secondly, if these could improve the prognostic accuracy of sepsis criteria (systemic inflammatory response syndrome and quick Sepsis-related Organ Failure Assessment [qSOFA]). METHODS: A prospective, observational, multicentre and analytical study. Patients aged 75 years and older who were treated for infection in the ED of 8 participating hospitals were enrolled consecutively. An assessment was made of 25 independent variables (epidemiological, comorbidity, functional, clinical and analytical variables) that could influence short-term mortality (at 30 days). RESULTS: The study included 136 patients, 13 (9.5%) of whom died within 30 days of visiting the ED. MR-proADM is the biomarker with the best area under the curve ROC to predict 30-day mortality (0.864; 95% CI 0.775-0.997; P<.001) with a prognostic cut-off>2.07nmol/l, sensitivity of 77% and specificity of 96%. The qSOFA score≥2 had an area under the curve ROC of 0.763 (95% CI 0.623-0.903; P=.002), sensitivity of 76% and specificity of 75%. The mixed model (MR-proADM plus qSOFA≥2) improved the area under the curve ROC to 0.878 (95% CI 0.749-1; P<.001) with the best prognostic performance with sensitivity of 69% and specificity of 97% CONCLUSIONS: MR-proADM showed the best performance for 30-day mortality prognostic power compared to other biomarkers in elderly patients seen in EDs due to infections. qSOFA score achieves better results than systemic inflammatory response syndrome, and the mixed model (qSOFA≥2 plus MR-proADM>2.07nmol/l) increased the predictive power of qSOFA.