The Guadalajara Declaration on sepsis: emergency physicians' constructive comments on the Surviving Sepsis Campaign's 2021 updated guidelines. / Declaración de Guadalajara: una visión constructiva desde el servicio de urgencias a partir de la Surviving Sepsis Campaign 2021.

TEXT: The Surviving Sepsis Campaign (SSC) published a 2021 update of its 2016 recommendations. The update was awaited with great anticipation the world over, especially by emergency physicians. Under the framework of the CIMU 2022 (33rd World Emergency Medicine Conference) in Guadalajara, Mexico in March, emergency physiciansreviewed and analyzed the 2021 SSC guidelines from our specialty's point of view. In this article, the expert reviewers present their consensus on certain key points of most interest in emergency settings at this time. The main aims of the review are to present constructive comments on 10 key points and/or recommendations in the SSC 2021 update and to offer emergency physicians' experience- and evidence-based proposals. Secondarily, the review's recommendations are a starting point for guidelines to detect severe sepsis in emergency department patients and prevent progression, which is ultimate goal of what has become known as the Guadalajara Declaration on sepsis.

TEXTO: En noviembre del año 2021, la Surviving Sepsis Campaign (SSC) publicó una actualización de sus recomendaciones y directrices de 2016. Estas fueron recibidas con una enorme expectativa en todo el mundo, especialmente entre los médicos de urgencias y emergencias (MUE). Recientemente, en el marco del CIMU 2022 (33 Congreso Mundial de Medicina de Urgencias celebrado en marzo de 2022 en Guadalajara ­ México) se ha revisado y analizado, desde la perspectiva del MUE, la Guía SSC de 2021. Los expertos que realizaron esa tarea y también consensuaron algunos de los puntos clave que más interesan y preocupan a los MUE en la actualidad han elaborado este documento. Su objetivo principal es analizar de forma constructiva diez de los puntos clave y recomendaciones de la SSC 2021 para complementarlas con argumentos y propuestas desde la experiencia, evidencia y perspectiva del urgenciólogo. Además, de forma secundaria, pretende ser el punto de partida de la elaboración de las guías para detectar, prevenir la progresión y atender a los pacientes con infección grave y sepsis en urgencias, que supone la meta final de lo que desde la MUE ya se conoce como "la Declaración de Guadalajara".

Ability of lactate, procalcitonin, and criteria defining sepsis to predict 30-day mortality, bacteremia, and microbiologically confirmed infection in patients with infection suspicion treated in emergency departments. / Capacidad del lactato, procalcitonina y de los criterios definitorios de sepsis para predecir mortalidad a 30 días, bacteriemia o infección confirmada microbiológicamente en los pacientes atendidos por sospecha de infección en urgencias.

OBJECTIVES: To evaluate lactate, procalcitonin, criteria defining systemic inflammatory response syndrome (SIRS), and the Quick Sepsis-Related Organ Failure Assessment (qSOFA) and compare their ability to predict 30-day mortality, infection with microbiologic confirmation, and true bacteremia in patients treated for infection in hospital emergency departments. MATERIAL AND METHODS: Prospective multicenter observational cohort study. We enrolled a convenience sample of patients aged 18 years or older attended in 71 Spanish emergency departments 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 predetermined decision points were assessed. 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. True bacteremia was detected in 899 (20.25%), and microbiologic confirmation was on record for 2057 (46.3%). The model that included the qSOFA score (2) and lactate concentration (0.738 mmol/L; 95% CI, 0.711-0.765 mmol/L) proved to be the best predictor of 30-day mortality, with an AUC of 0.890 (95% CI, 0.880-0.901). The model that included the SIRS score (2) and procalcitonin concentration (0.51 ng/mL) proved to be the best predictor of true bacteremia and microbiologic confirmation, with an AUC of 0.713 (95% CI, 0.698-0.728). CONCLUSION: A qSOFA score of 2 or more plus lactate concentration (0.738 mmol/L) predict 30-day mortality better than the combination of a SIRS score of 2 or more and procalcitonin concentration. A SIRS score of 2 or more plus procalcitonin concentration (0.51 ng/mL) predict true bacteremia and microbiologic confirmation.

OBJETIVO: Evaluar y comparar la capacidad del lactato, la procalcitonina (PCT) y de los criterios definitorios de sepsis (síndrome de respuesta inflamatoria sistémica ­SRIS­ y del quick Sepsis-related Organ Failure Assessment ­qSOFA­) para predecir mortalidad a 30 días, o infección ­con confirmación microbiológica o bacteriemia verdadera (BV)­ en los pacientes que acuden al servicio de urgencias hospitalario (SUH) por un episodio de sospecha de infección. METODO: Estudio observacional de cohortes, multicéntrico, prospectivo. Se incluyó por oportunidad a pacientes 18 años atendidos por sospecha de infección en 71 SUH españoles desde el 01/10/2019 al 31/03/2020. Se analizó la capacidad predictiva con el área bajo la curva (ABC) de la característica operativa del receptor (COR) y puntos de decisión predeterminados. RESULTADOS: Se incluyeron 4.439 pacientes con edad media de 67 (18) años, 2.648 (59,7%) fueron hombres, fallecieron a los 30 días 459 (10,3%), se consideraron BV 899 (20,2%) y se consiguió confirmación microbiológica en 2.057 (46,3%). Para la mortalidad a 30 días la mejor ABC-COR fue la obtenida con el modelo qSOFA 2 más lactato 2 mmol/l con un ABC-COR de 0,738 (0,711-0,765). Para predecir BV y confirmación microbiológica el mejor rendimiento se obtuvo con el modelo de SRIS 2 más PCT 0,51 ng/ml, con un ABC-COR de 0,890 (0,880-0,901) y 0,713 (0,698-0,728), respectivamente. CONCLUSIONES: Para la predicción de mortalidad a 30 días, el qSOFA 2 es superior al SRIS 2 y el mejor rendimiento lo consigue el modelo qSOFA 2 más lactato 2 mmol/l. Para predecir BV y confirmación microbiológica, la PCT es superior al lactato y el mejor rendimiento lo obtiene el modelo SRIS 2 más PCT 0,51 ng/ml.

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.

Socio-Demographic Health Determinants Are Associated with Poor Prognosis in Spanish Patients Hospitalized with COVID-19.

INTRODUCTION: Social vulnerability is a known determinant of health in respiratory diseases. Our aim was to identify whether there are socio-demographic factors among COVID-19 patients hospitalized in Spain and their potential impact on health outcomes during the hospitalization. METHODS: A multicentric retrospective case series study based on administrative databases that included all COVID-19 cases admitted in 19 Spanish hospitals from 1 March to 15 April 2020. Socio-demographic data were collected. Outcomes were critical care admission and in-hospital mortality. RESULTS: We included 10,110 COVID-19 patients admitted to 18 Spanish hospitals (median age 68 (IQR 54-80) years old; 44.5% female; 14.8% were not born in Spain). Among these, 779 (7.7%) cases were admitted to critical care units and 1678 (16.6%) patients died during the hospitalization. Age, male gender, being immigrant, and low hospital saturation were independently associated with being admitted to an intensive care unit. Age, male gender, being immigrant, percentile of average per capita income, and hospital experience were independently associated with in-hospital mortality. CONCLUSIONS: Social determinants such as residence in low-income areas and being born in Latin American countries were associated with increased odds of being admitted to an intensive care unit and of in-hospital mortality. There was considerable variation in outcomes between different Spanish centers.

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.

Predicting bacteremia in patients attended for infections in an emergency department: the 5MPB-Toledo model. / Modelo 5MPB-Toledo para predecir bacteriemia en los pacientes atendidos por infección en el servicio de urgencias.

OBJECTIVES: To develop a simple risk score to predict bacteremia in patients in our hospital emergency department for infection. MATERIAL AND METHODS: Retrospective observational cohort study of all blood cultures ordered in the emergency department for adults (aged 18 or older) from July 1, 2018, to March 31, 2019. We gathered data on 38 independent variables (demographic, comorbidity, functional status, and laboratory findings) that might predict bacteremia. Univariate and multiple logistic regression analyses were applied to the data and a risk scale was developed. RESULTS: A total of 2181 blood samples were cultured. True cases of bacteremia were confirmed in 262 (12%). The remaining 1919 cultures (88%) were negative. No growth was observed in 1755 (80.5%) of the negative cultures, and 164 (7.5%) were judged to be contaminated. The 5MPB-Toledo model identified 5 predictors of bacteremia: temperature higher than 38.3°C (1 point), a Charlson comorbidity index of 3 or more (1 point), respiratory frequency of at least 22 breaths/min (1 point), leukocyte count greater than 12 000/mm3 (1 point), and procalcitonin concentration of 0.51 ng/mL or higher (4 points). 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 1.1%, 10.5%, and 77%, respectively. The model's area under the receiver operating characteristic curve was 0.946 (95% CI, 0.922-0.969). CONCLUSION: The 5MPB-Toledo score could be useful for predicting bacteremia in patients attended in hospital emergency departments for infection.

OBJETIVO: Diseñar un modelo sencillo de riesgo para predecir bacteriemia en los pacientes atendidos por un episodio de infección en el servicio de urgencias hospitalario (SUH). METODO: Estudio observacional, de cohortes retrospectivo, de todos los hemocultivos (HC) extraídos en un SUH en los pacientes adultos ($ 18 años) atendidos por infección desde el 1 de julio de 2018 hasta el 31 de marzo de 2019. Se analizaron 38 variables independientes (demográficas, comorbilidad, funcionales, clínicas y analíticas) que pudieran predecir la existencia de bacteriemia. Se realizó un estudio univariado y multivariable, mediante regresión logística, y después se construyó una escala de puntuación de riesgo. RESULTADOS: Se incluyeron 2.181 episodios de HC extraídos. De ellos se consideraron como bacteriemias verdaderas 262 (12%) y como HC negativos 1.919 (88%). Entre los negativos, 1.755 (80,5%) no tuvieron crecimiento y 164 (7,5%) se consideraron contaminados. Se definió un modelo predictivo de bacteriemia con 5 variables (5MPBToledo). El modelo incluyó la temperatura > 38,3°C (1 punto), un índice de Charlson $ 3 (1 punto), la frecuencia respiratoria $ 22 respiraciones por minuto (1 punto), leucocitos > 12.000/mm3 (1 punto) y procalcitonina $ 0,51 ng/ ml (4 puntos). 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 1,1%, 10,5% y 77%, respectivamente. El ABC-COR del modelo tras remuestreo fue de 0,946 (IC 95%: 0,922-0,969). CONCLUSIONES: El Modelo 5MPB-Toledo podría ser de utilidad para predecir bacteriemia en los pacientes atendidos por un episodio de infección en los SUH.