Usefulness of severity scales for cardiogenic shock in-hospital mortality. Proposal for a new prognostic model.

Cardiogenic shock (CS) is a condition comprising multiple etiologies, which associates high mortality rates. Some scoring systems have been shown to be good predictors of hospital mortality in patients admitted to Critical Care Units (CCU). The main objective of this study is to analyze their usefulness and validity in a cohort of CS patients. METHODS: Observational unicentric study of a cohort of CS patients. SOFA, SAPS II and APACHE II scores were calculated in the first 24 h of CCU admission. RESULTS: 130 patients with CS were included. SOFA, SAPS II and APACHE II scores revealed good discrimination for hospital mortality: (AUC) ROC values (AUC: 0.711, 0.752 and 0.742 respectively; P = .6). Calibration, estimated by the Hosmer-Lemeshow test, was adequate in all cases. Acute coronary syndrome, lactate serum values, SAPS II score and vasoactive inotropic score (VIS) were found to be independent predictors for mortality, upon ICU admission. With these variables, a specific prognostic indicator was developed (SAPS-2-LIVE), which improved predictive capability for mortality in our series (AUC) ROC, 0.825 (95% CI 0.752-0.89). CONCLUSION: In this contemporary CS cohort, the aforementioned scores have been shown to have good predictive ability for hospital mortality. These findings could contribute to a more accurate risk stratification in CS.

Utilidad de las escalas de gravedad en la predicción de mortalidad intrahospitalaria en el shock cardiogénico. Propuesta de un nuevo modelo pronóstico / Usefulness of severity scales for cardiogenic shock in-hospital mortality. Proposal for a new prognostic model

El shock cardiogénico (SC) es una entidad que comprende múltiples etiologías y asocia elevada mortalidad. Algunas escalas de gravedad han demostrado ser buenos predictores de mortalidad hospitalaria en pacientes ingresados en Unidades de Cuidados Intensivos (UCI). El objetivo principal de este estudio es analizar su utilidad y validez en una cohorte de pacientes en SC. Métodos: Estudio observacional unicéntrico. Se calcularon las escalas SOFA, SAPSII y APACHEII en las primeras 24horas de ingreso en UCI. Resultados: Se incluyeron 130 pacientes con SC. Las escalas SOFA, SAPSII y APACHEII mostraron buena discriminación para la mortalidad hospitalaria, obteniendo valores de área bajo la curva (AUC) ROC similares (AUC: 0,711, 0,752 y 0,742, respectivamente; p=0,6). La calibración, estimada por el test de Hosmer-Lemeshow, fue adecuada en todos los casos, SOFA (p=0,787), SAPSII (p=0,078) y APACHEII (p=0,522). Resultaron: predictores independientes de mortalidad intrahospitalaria: el síndrome coronario agudo (SCA), los valores de lactato sérico, el SAPSII y el índice de vasoactivos inotrópicos (VIS) en las primeras 24horas de ingreso en UCI.Con estas variables se desarrolló un indicador pronóstico específico para el SC (SAPS-2-LIVE) que mejora la capacidad predictiva de mortalidad en nuestra serie (AUC) ROC, 0,825 (IC 95% 0,752-0,89). Conclusión: En esta cohorte contemporánea de SC, las escalas SOFA, SAPSII y APACHEII han demostrado una buena capacidad de predicción de mortalidad hospitalaria. Estos hallazgos podrían contribuir a una mejor estratificación del riesgo en el SC.(AU)

Cardiogenic shock (CS) is a condition comprising multiple etiologies, which associates high mortality rates. Some scoring systems have been shown to be good predictors of hospital mortality in patients admitted to Critical Care Units (CCU). The main objective of this study is to analyze their usefulness and validity in a cohort of CS patients. Methods: Observational unicentric study of a cohort of CS patients. SOFA, SAPSII and APACHEII scores were calculated in the first 24hours of CCU admission. Results: 130 patients with CS were included. SOFA, SAPSII and APACHEII scores revealed good discrimination for hospital mortality: (AUC) ROC values (AUC: 0.711, 0.752 and 0.742 respectively; p=0.6). Calibration, estimated by the Hosmer-Lemeshow test, was adequate in all cases.Acute coronary syndrome, lactate serum values, SAPSII score and vasoactive inotropic score (VIS) were found to be independent predictors for mortality, upon ICU admission. With these variables, a specific prognostic indicator was developed (SAPS-2-LIVE), which improved predictive capability for mortality in our series (AUC) ROC, 0.825 (95% CI 0.752-0.89). Conclusion: In this contemporary CS cohort, the aforementioned scores have been shown to have good predictive ability for hospital mortality. These findings could contribute to a more accurate risk stratification in CS.(AU)

Modelos de riesgo para la predicción de mortalidad hospitalaria en ancianos con neumonía por COVID-19 / Mortality risk model for patients with suspected COVID-19 based on information available from an emergency dispatch center

Objetivo. Los objetivos son comparar la utilidad pronóstica de tres escalas de gravedad (Pneumonia Severity Index: PSI; CURB-65 scale; Severity Community Acquired Pneumonia Score: SCAP) y diseñar un nuevo modelo predictivo de mortalidad hospitalaria en pacientes mayores de 75 años ingresados por neumonía por COVID-19. Método. Estudio retrospectivo de pacientes mayores de 75 años ingresados por neumonía por COVID-19 desde el servicio de urgencias entre el 12 de marzo y el 27 de abril de 2020. Se recogieron variables demográficas (edad, sexo, institucionalización), clínicas (síntomas, comorbilidades, índice de Charlson) y analíticas (bioquímica en suero, gasometría, hematimetría, hemostasia). Se derivó un modelo de riesgo y se compararon las escalas de gravedad PSI, CURB-65 y SCAP para predecir la mortalidad intrahospitalaria por cualquier causa. Resultados. Se incluyeron 186 pacientes, con una mediana de edad de 85 años (RIC 80-89), un 44,1% varones. La mortalidad fue del 47,3%. Las escalas PSI, CURB-65 y SCAP tuvieron un área bajo la curva (ABC) de 0,74 (IC 95% 0,64-0,82), 0,71 (IC 95% 0,62-0,79) y 0,72 (IC 95% 0,63-0,81), respectivamente. El modelo predictivo compuesto por la ausencia o presencia de síntomas (tos y disnea), comorbilidad (índice de Charlson) y datos analíticos (aspartato-aminotransferasa, potasio, urea y lactato-deshidrogenasa) tuvo un ABC de 0,81 (IC 95% 0,73-0,88). Conclusión. Este estudio muestra que la escala PSI tiene una capacidad predictiva de mortalidad moderada, notablemente mejor que las escalas CURB-65 y SCAP. Se propone un nuevo modelo predictivo de mortalidad que mejora significativamente el rendimiento de estas escalas, siendo necesario verificar su validez externa. (AU)

Objectives: To compare the prognostic value of 3 severity scales: the Pneumonia Severity Index (PSI), the CURB-65 pneumonia severity score, and the Severity Community-Acquired Pneumonia (SCAP) score. To build a new predictive model for in-hospital mortality in patients over the age of 75 years admitted with pneumonia due to the coronavirus disease 2019 (COVID-19). Material and methods: Retrospective study of patients older than 75 years admitted from the emergency department for COVID-19 pneumonia between March 12 and April 27, 2020. We recorded demographic (age, sex, living in a care facility or not), clinical (symptoms, comorbidities, Charlson Comorbidity Index [CCI]), and analytical (serum biochemistry, blood gases, blood count, and coagulation factors) variables. A risk model was constructed, and the ability of the 3 scales to predict all-cause in-hospital mortality was compared. Results: We included 186 patients with a median age of 85 years (interquartile range, 80-89 years); 44.1% were men. Mortality was 47.3%. The areas under the receiver operating characteristic curves (AUCs) were as follows for each tool: PSI, 0.74 (95% CI, 0.64-0.82); CURB-65 score, 0.71 (95% CI, 0.62-0.79); and SCAP score, 0.72 (95% CI, 0.63-0.81). Risk factors included in the model were the presence or absence of symptoms (cough, dyspnea), the CCI, and analytical findings (aspartate aminotransferase, potassium, urea, and lactate dehydrogenase. The AUC for the model was 0.81 (95% CI, 0.73-0.88). Conclusion: This study shows that the predictive power of the PSI for mortality is moderate and perceptibly higher than the CURB-65 and SCAP scores. We propose a new predictive model for mortality that offers significantly better performance than any of the 3 scales compared. However, our model must undergo external validation. (AU)

Risk models for predicting in-hospital mortality from COVID-19 pneumonia in the elderly. / Modelos de riesgo para la predicción de mortalidad hospitalaria en ancianos con neumonía por COVID-19.

OBJECTIVES: To compare the prognostic value of 3 severity scales: the Pneumonia Severity Index (PSI), the CURB-65 pneumonia severity score, and the Severity Community-Acquired Pneumonia (SCAP) score. To build a new predictive model for in-hospital mortality in patients over the age of 75 years admitted with pneumonia due to the coronavirus disease 2019 (COVID-19). MATERIAL AND METHODS: Retrospective study of patients older than 75 years admitted from the emergency department for COVID-19 pneumonia between March 12 and April 27, 2020. We recorded demographic (age, sex, living in a care facility or not), clinical (symptoms, comorbidities, Charlson Comorbidity Index [CCI]), and analytical (serum biochemistry, blood gases, blood count, and coagulation factors) variables. A risk model was constructed, and the ability of the 3 scales to predict all-cause in-hospital mortality was compared. RESULTS: We included 186 patients with a median age of 85 years (interquartile range, 80-89 years); 44.1% were men. Mortality was 47.3%. The areas under the receiver operating characteristic curves (AUCs) were as follows for each tool: PSI, 0.74 (95% CI, 0.64-0.82); CURB-65 score, 0.71 (95% CI, 0.62-0.79); and SCAP score, 0.72 (95% CI, 0.63-0.81). Risk factors included in the model were the presence or absence of symptoms (cough, dyspnea), the CCI, and analytical findings (aspartate aminotransferase, potassium, urea, and lactate dehydrogenase. The AUC for the model was 0.81 (95% CI, 0.73-0.88). CONCLUSION: This study shows that the predictive power of the PSI for mortality is moderate and perceptibly higher than the CURB-65 and SCAP scores. We propose a new predictive model for mortality that offers significantly better performance than any of the 3 scales compared. However, our model must undergo external validation.

OBJETIVO: Los objetivos son comparar la utilidad pronóstica de tres escalas de gravedad (Pneumonia Severity Index: PSI; CURB-65 scale; Severity Community Acquired Pneumonia Score: SCAP) y diseñar un nuevo modelo predictivo de mortalidad hospitalaria en pacientes mayores de 75 años ingresados por neumonía por COVID-19. METODO: Estudio retrospectivo de pacientes mayores de 75 años ingresados por neumonía por COVID-19 desde el servicio de urgencias entre el 12 de marzo y el 27 de abril de 2020. Se recogieron variables demográficas (edad, sexo, institucionalización), clínicas (síntomas, comorbilidades, índice de Charlson) y analíticas (bioquímica en suero, gasometría, hematimetría, hemostasia). Se derivó un modelo de riesgo y se compararon las escalas de gravedad PSI, CURB-65 y SCAP para predecir la mortalidad intrahospitalaria por cualquier causa. RESULTADOS: Se incluyeron 186 pacientes, con una mediana de edad de 85 años (RIC 80-89), un 44,1% varones. La mortalidad fue del 47,3%. Las escalas PSI, CURB-65 y SCAP tuvieron un área bajo la curva (ABC) de 0,74 (IC 95% 0,64-0,82), 0,71 (IC 95% 0,62-0,79) y 0,72 (IC 95% 0,63-0,81), respectivamente. El modelo predictivo compuesto por la ausencia o presencia de síntomas (tos y disnea), comorbilidad (índice de Charlson) y datos analíticos (aspartato- aminotransferasa, potasio, urea y lactato-deshidrogenasa) tuvo un ABC de 0,81 (IC 95% 0,73-0,88). CONCLUSIONES: Este estudio muestra que la escala PSI tiene una capacidad predictiva de mortalidad moderada, notablemente mejor que las escalas CURB-65 y SCAP. Se propone un nuevo modelo predictivo de mortalidad que mejora significativamente el rendimiento de estas escalas, siendo necesario verificar su validez externa.

Código sepsis: sistemas de respuesta rápida / Sepsis code: Rapyd response systems / Código sepse: sistemas de resposta rápida

Resumen: La sepsis representa una crisis de salud global, pues de 27 a 30 millones de personas al año la desarrollan, mientras que siete a nueve millones fallecen y una persona muere cada 3.5 segundos. El retraso en el inicio de tratamiento impacta de manera directa en la mortalidad y uso de recursos. La implementación de equipos de respuesta rápida (ERR) constituye una oportunidad para la detección y tratamiento adecuado. Existen varias herramientas para la activación de un ERR y un código sepsis, dentro de las más destacadas se encuentran quick SOFA, SIRS, CARS, MEWS y NEWS que constituyen escalas de gravedad para permitir la detección de sepsis con base en criterios; aunque es importante mencionar que la escala NEWS ha demostrado superioridad. Los resultados de distintos estudios realizados tras la implementación de código sepsis reportan un impacto positivo en el inicio temprano de antibióticos y cumplimiento de metas, así como en mortalidad. Un área de oportunidad para mejorar la eficacia del ERR está en la activación mediante dispositivos automatizados. Lo anterior consolida y fortalece una cultura de seguridad en el paciente hospitalizado.

Abstract: Sepsis represents a global health crisis: 27 to 30 million people a year develop it, seven to nine million die, one person dies every 3.5 seconds. The delay in the initiation of treatment has a direct impact on mortality and the use of resources. The implementation of Rapid Response Teams (RRT) constitutes a window of opportunity for the detection and timely treatment. There are several tools for activating an RRT and a sepsis code. Among the most important are quick SOFA, SIRS, CARS, MEWS and NEWS that constitute severity scales that allow the detection of sepsis based on criteria. The NEWS scale has shown superiority. The results of different studies conducted after the implementation of sepsis code report a positive impact on early initiation of antibiotics and compliance with goals, as well as mortality. One area of opportunity to improve the effectiveness of the RRT is the activation by automated devices. Sepsis code an RRT consolidates and strengthens the culture of safety in the hospitalized patient.

Resumo: A sepse representa uma crise global de saúde: 27 a 30 milhões de pessoas por ano desenvolvem-a, 7 a 9 milhões morrem, 1 pessoa morre a cada 3.5 segundos. O atraso no início do tratamento tem um impacto direto na mortalidade e no uso de recursos. A implementação de Equipes de Resposta Rápida (ERR) constitui uma janela de oportunidade para a detecção e tratamento oportuno. Existem várias ferramentas para ativar um ERR e um código de sepse. Entre os mais importantes estão o quick SOFA, SIRS, CARS, MEWS e NEWS que constituem escalas de gravidade que permitem a detecção de sepse baseada em critérios. A escala NEWS mostrou superioridade. Os resultados de diferentes estudos realizados após a implementação do código de sepse relatam um impacto positivo no início precoce dos antibióticos e no cumprimento dos objetivos, bem como na mortalidade. Uma área de oportunidade para melhorar a eficácia do ERR é a ativação através de dispositivos automatizados. O anterior consolida e fortalece a cultura de segurança no paciente hospitalizado.

Characteristics and outcome of patients with solid tumour requiring admission to the intensive care unit. Usefulness of three severity score systems.

BACKGROUND AND OBJECTIVE: To describe the characteristics and the evolution of patients with solid tumours admitted to the ICU and to identify factors associated with hospital mortality and to evaluate three illness severity scores. MATERIAL AND METHODS: Descriptive study including 132 patients with solid tumour admitted to the ICU (2010-2016). Demographics and cancer-related data, organ failures, life-supporting therapies and severity scores: APACHE II, SOFA and ICU Cancer Mortality Model (ICMM) were collected. RESULTS: There were 58 patients admitted for medical reasons and 74 for scheduled surgery. The ICU and hospital mortality rate were 12.9% and 19.7%, respectively. The medical reason for admission, the number of organ failures, and the need of life-supporting therapies were significantly associated with a higher mortality (p<0.05). In the logistic regression analysis, the three severity scores: SOFA (OR 1.18, 95% IC 1.14-1.48), APACHE II (OR 1.11, 95% CI 1.09-1.27), and ICMM (OR 1.03, 95% CI 1.02-1.07) were independently associated with a higher mortality (p<0.05). To evaluate the discrimination, the area under the receiver operating characteristics curves (AUROC) were calculated: APACHE II (0.795, 95% CI 0.69-0.9), SOFA (0.77, 95% CI 0.69-0.864) and ICMM (0.794, 95% CI 0.697-0.891). The comparison of AUC ROC after DeLong's test showed no difference between them. CONCLUSION: Hospital mortality was associated with the type and severity of acute illness. The three severity scores were useful to assess outcome and accurate in the discrimination, but we did not find a significant difference between them.

Assessment of clinical parameters of the polytraumatized patient as predictors of hospital expenditure and of its distribution. / Valoración de parámetros clínicos del paciente politraumatizado como predictores del gasto hospitalario y de su distribución.

INTRODUCTION: Traumatic pathology continues to represent an important socio-health problem. The aim of the study was to assess the clinical predictors of total expenditure, as well as to analyze which components of the cost are modified with each clinical parameter of the polytraumatized patient. MATERIAL AND METHODS: Retrospective study of 131 polytrauma patients registered prospectively. A statistical analysis was carried out to assess the relationship between clinical parameters, the total cost and the cost of various treatment components. RESULTS: The total cost of hospital admission was 3,791,879 euros. The average cost per patient was € 28,945. Age and gender were not predictors of cost. The scales ISS, NISS and PS were predictors of the total cost and of multiple treatment components. The AIS of Skull and Thorax predicted a higher cost of admission to ICU and Total Cost. The AIS of lower limbs was associated with greater spending on facets of treatment related to surgical activity. DISCUSSION: There are clinical parameters that are predictors of the treatment cost of the polytraumatized patient. The study describes how the type of trauma that the patient suffers modifies the type of expenses that will present in their hospital admission. CONCLUSIONS: Polytraumatized patients with severe multisystem injury present increased costs in multiple components of the treatment cost. Patients with TBI or chest trauma present a higher cost for admission to ICU and those with orthopaedic trauma are associated with greater expenditure on surgical activity.

Valoración de la gravedad en la Sepsis grave / Review of ill sepsis condition

Se realiza una amplia revisión sobre la valoración de la gravedad en la sepsis, estratificación y predicción en los pacientes con sepsis grave, sistemas generales de evaluación de la gravedad en los pacientes críticos, sistemas de la gravedad en los pacientes sépticos y consideraciones finales en cuanto a esta problemática (AU)