Sociodemographic characteristics, comorbidity, and baseline functional status of older patients treated in emergency departments during the COVID-19 pandemic and associations with mortality: an analysis based on the EDENCOVID cohort. / Sociodemografía, comorbilidad y situación funcional basal de los pacientes mayores atendidos en urgencias durante la pandemia de COVID y su relación con la mortalidad: análisis a partir de la cohorte EDEN-Covid.

OBJECTIVES: To describe the sociodemographic characteristics, comorbidity, and baseline functional status of patients aged 65 or older who came to hospital emergency departments (EDs) during the first wave of the COVID-19 pandemic, and to compare them with the findings for an earlier period to analyze factors of the index episode that were related to mortality. MATERIAL AND METHODS: We studied data from the EDEN-COVID cohort (Emergency Department and Elder Needs During COVID-19) of patients aged 65 years or older treated in 40 Spanish EDs on 7 consecutive days. Nine sociodemographic variables, 18 comorbidities, and 7 function variables were registered and compared with the findings for the EDEN cohort of patients included with the same criteria and treated a year earlier in the same EDs. In-hospital mortality was calculated in the 2 cohorts and a multivariable logistic regression model was used to explore associated factors. RESULTS: The EDEN-COVID cohort included 6806 patients with a median age of 78 years; 49% were women. The pandemic cohort had a higher proportion of men, patients covered by the national health care system, patients brought from residential facilities, and patients who arrived in an ambulance equipped for advanced life support. Pandemic-cohort patients more often had diabetes mellitus, chronic kidney disease, and dementia; they less often had connective tissue and thromboembolic diseases. The Barthel and Charlson indices were worse in this period, and cognitive decline was more common. Fewer patients had a history of depression or falls. Eight hundred ninety these patients (13.1%) died, 122 of them in the ED (1.8%); these percentages were lower in the earlier EDEN cohort, at 3.1% and 0.5%, respectively. Independent sociodemographic factors associated with higher mortality were transport by ambulance, older age, male sex, and living in a residential facility. Mortalityassociated comorbidities were neoplasms, chronic kidney disease, and heart failure. The only function variable associated with mortality was the inability to walk independently. A history of falls in the past 6 months was a protective factor. CONCLUSION: The sociodemographic characteristics, comorbidity, and functional status of patients aged 65 years or older who were treated in hospital EDs during the pandemic differed in many ways from those usually seen in this older-age population. Mortality was higher than in the prepandemic period. Certain sociodemographic, comorbidity, and function variables were associated with in-hospital mortality.

OBJETIVO: Investigar sociodemografía, comorbilidad y situación funcional de los pacientes de 65 o más años de edad que consultaron a los servicios de urgencias hospitalarios (SUH) durante la primera oleada epidémica de COVID, compararlas con un periodo previo y ver su relación. METODO: Se utilizaron los datos obtenidos de la cohorte EDEN-Covid (Emergency Department and Elder Needs during COVID) en la que participaron 40 SUH españoles que incluyeron todos los pacientes de $ 65 años atendidos durante 7 días consecutivos. Se analizaron 9 características sociodemográficas, 18 comorbilidades y 7 variables de funcionalidad, que se compararon con las de la cohorte EDEN (Emergency Department and Elder Needs), que contiene pacientes con el mismo criterio de inclusión etario reclutados por los mismos SUH un año antes. Se recogió la mortalidad intrahospitalaria y se investigaron los factores asociados mediante regresión logística multivariable. RESULTADOS: La cohorte EDEN-Covid incluyó 6.806 pacientes (mediana edad: 78 años; 49% mujeres). Hubo más varones, con cobertura sanitaria pública, procedentes de residencia y que llegaron con ambulancia medicalizada que durante el periodo prepandemia. Presentaron más frecuentemente diabetes mellitus, enfermedad renal crónica, enfermedad cerebrovascular y demencia y menos conectivopatías y enfermedad tromboembólica, peores índices de Barthel y Charlson, más deterioro cognitivo y menos antecedentes de depresión o caídas previas. Fallecieron durante el episodio 890 pacientes (13,1%), 122 de ellos en urgencias (1,8%), porcentajes superiores al periodo prepandemia (3,1% y 0,5%, respectivamente). Se asociaron de forma independiente a mayor mortalidad durante el periodo COVID la llegada en ambulancia, mayor edad, ser varón y vivir en residencia como variables sociodemográficas, y neoplasia, enfermedad renal crónica e insuficiencia cardiaca como comorbilidades. La única variable funcional asociada a mortalidad fue no deambular respecto a ser autónomo, y la existencia de caídas los 6 meses previos resultó un factor protector. CONCLUSIONES: La sociodemografía, comorbilidad y funcionalidad de los pacientes de 65 o más años que consultaron en los SUH españoles durante la primera ola pandémica difirieron en muchos aspectos de lo habitualmente observado en esta población. La mortalidad fue mayor a la del periodo prepandémico. Algunos aspectos sociodemográficos, de comorbilidad y funcionales se relacionaron con la mortalidad intrahospitalaria.

Implementación de un sistema de alarmas automático para la detección precoz de los pacientes con sepsis grave / Implementation of an automatic alarms system for early detection of patients with severe sepsis

OBJETIVO: Valorar la utilidad de una herramienta informática integrada en el programa de historia clínica de urgencias en el momento del triaje, para detectar de forma precoz pacientes con sepsis grave, y su posible repercusión en reducir las cifras de mortalidad en los pacientes atendidos. MÉTODO: El estudio constaba de 2 muestras comparativas. La selección de pacientes se realizó de forma retrospectiva en los 2 grupos utilizando los códigos CIE-9 al alta de urgencias y hospitalaria 038.9, 995.91 para la sepsis, 995.92 para sepsis grave y 785.52 para shock séptico. La muestra denominada «alarmas» constaba de los pacientes estudiados tras implantar el sistema de alarmas de sepsis en el sistema informático de urgencias. Se definieron 2 tipos de alarmas, una de gravedad y otra de alerta en función de las constantes vitales alteradas. La muestra histórica, denominada «sin alarmas», constaba de pacientes atendidos en el servicio de urgencias durante el año previo a la implantación del sistema de alarmas. RESULTADOS: El porcentaje de cumplimiento del paquete de tratamiento de la sepsis fue mayor en la muestra de alarmas, comparativamente con la muestra sin alarmas, respectivamente, para los hemocultivos 96,3% frente a 80,9% (p < 0,001), antibiótico menor a 1 h 62,9% frente a 39,3% (p < 0,001), determinación de ácido láctico 91,4% frente a 77,9% (p < 0,001) y la aplicación de volumen adecuado 57,7% frente a 54,3% (p = 0,54). La mortalidad durante el ingreso se redujo en términos absolutos del 25% de la muestra sin alarmas al 13,6% en la muestra con alarmas. La supervivencia a los 30 días fue mayor en la muestra de alarmas (log rank = 0,004). CONCLUSIONES: Un sistema electrónico de identificación de pacientes con sepsis permite una mayor precocidad en la actuación, un cumplimiento mejor de las medidas básicas y por tanto una disminución de la estancia y la mortalidad

OBJECTIVE: The objective of this study was to assess the usefulness of a software tool integrated into the medical electronic history at the time of emergency triage. The aim was the early detection of patients with severe sepsis, and the potential impact of this software tool on reducing the mortality rate in patients treated. METHOD: The study consisted of two comparative samples. Patient selection was performed retrospectively into two groups using ICD-9 codes from the hospital and emergency department discharge reports. The codes were 038.9, 995.9 and 995.92 for sepsis, and 785.52 for severe sepsis and septic shock. The sample called «alarms» consisted of patients studied after implementing the sepsis alarm system in the Emergency Department computer system. There were two types of alarms, a serious one and an alert one depending on the on vital signs defined. The historical sample called «no alarms» consisted of patients seen in the Emergency Department during the year before the introduction of the alarm system. RESULTS: The compliance rate of the sepsis treatment package was higher in the «alarms» sample, compared to the sample without alarms, with blood cultures, 96.3% versus 80.9% (P < .001), antibiotic treatment in less than one hour, 62.9% vs. 39.3% (P < .001), determination of lactic acid, 91.4% vs. 77.9% (P < .001), and applying appropriate volume, 57.7% vs 54.3% (P = .052), respectively. The hospital mortality was reduced in absolute terms from 25% in the sample without alarms to 13.6% in the sample with alarms. Survival at 30 days was higher in the sample with alarms (Log Rank = .004). CONCLUSIONS: There were no studies that evaluated the effectiveness of an alarm system in our literature search. An electronic identification system for patients with sepsis allows acting earlier, better compliance with basic measures, and a reduction in hospital stay and mortality

[Implementation of an automatic alarms system for early detection of patients with severe sepsis]. / Implementación de un sistema de alarmas automático para la detección precoz de los pacientes con sepsis grave.

OBJECTIVE: The objective of this study was to assess the usefulness of a software tool integrated into the medical electronic history at the time of emergency triage. The aim was the early detection of patients with severe sepsis, and the potential impact of this software tool on reducing the mortality rate in patients treated. METHOD: The study consisted of two comparative samples. Patient selection was performed retrospectively into two groups using ICD-9 codes from the hospital and emergency department discharge reports. The codes were 038.9, 995.9 and 995.92 for sepsis, and 785.52 for severe sepsis and septic shock. The sample called «alarms¼ consisted of patients studied after implementing the sepsis alarm system in the Emergency Department computer system. There were two types of alarms, a serious one and an alert one depending on the on vital signs defined. The historical sample called «no alarms¼ consisted of patients seen in the Emergency Department during the year before the introduction of the alarm system. RESULTS: The compliance rate of the sepsis treatment package was higher in the «alarms¼ sample, compared to the sample without alarms, with blood cultures, 96.3% versus 80.9% (P<.001), antibiotic treatment in less than one hour, 62.9% vs. 39.3% (P<.001), determination of lactic acid, 91.4% vs. 77.9% (P<.001), and applying appropriate volume, 57.7% vs 54.3% (P=.052), respectively. The hospital mortality was reduced in absolute terms from 25% in the sample without alarms to 13.6% in the sample with alarms. Survival at 30 days was higher in the sample with alarms (Log Rank=.004). CONCLUSIONS: There were no studies that evaluated the effectiveness of an alarm system in our literature search. An electronic identification system for patients with sepsis allows acting earlier, better compliance with basic measures, and a reduction in hospital stay and mortality.