Infratriaje en urgencias de pacientes que precisan ingreso directo en cuidados intensivos por enfermedades médicas: impacto en el pronóstico y factores asociados / Undertriage of patients requiring direct admission to intensive care from the emergency department for medical conditions: impact on prognosis and associated factors

Objetivo: Determinar si el infratriaje tiene impacto pronóstico en pacientes que requieren ingreso desde urgencias en cuidados intensivos por enfermedad médica e identificar factores asociados. Método: Revisión retrospectiva de pacientes atendidos durante 2018 por enfermedades médicas con ingreso directo en cuidados intensivos desde urgencias. Se clasificaron en dos grupos en función del nivel de triaje asignado y se consideró infratriaje un nivel de triaje $ III. Las variables independientes incluyeron datos demográficos, epidemiológicos e indicadores de gravedad en urgencias. Se registró la mortalidad a los 30 días (objetivo primario), así como la mortalidad hospitalaria, el ingreso prolongado en cuidados intensivos o el ingreso prolongado hospitalario (objetivos secundarios). Resultados: Se incluyeron 470 pacientes [edad 68 años (rango 57-78), 61,1% hombres] de los que 151 (32,1%) formaban el grupo con infratriaje. Los factores relacionados con el infratriaje fueron la edad (OR = 1,017; IC 95% 1,003-1,032), indicador qSOFA 0-1 (OR = 1,761; IC 95% 1,038-2,988), índice SpO2/FiO2 > 300 (OR = 2,447; IC 95% 1,418-4,223) y el diagnóstico de infección (OR = 5,003; IC 95% 2,727-9,188), respiratorio (OR = 3,993; IC 95% 1,919-8,310) u otro (OR = 1,980; IC 95% 1,036-3,785) respecto al diagnóstico cardiovascular, mientras que la admisión en horario de tarde (OR = 0,512; IC 95% 0,306-0,856) o el traslado en ambulancia (OR = 0,373; IC 95% 0,232-0,600) se relacionaron de forma inversa con el infratriaje. El evento mortalidad a 30 días tuvo lugar en 90 pacientes (19,1%). El infratriaje no se relacionó con la mortalidad a 30 días ni con el resto de los objetivos analizados. (AU)

Objectives: To determine whether undertriage affects the outcome for patients requiring direct admission to the intensive care unit (ICU) from the emergency department due to a medical condition. To identify factors associated with undertriage. Material and methods: Retrospective review of patients treated in 2018 for medical emergencies requiring direct admission to the ICU from the emergency department. The cases were classified in 2 groups according to the assigned triage level. Underestimation was defined as a triage level of III or more. Independent variables were demographic and epidemiologic data and indicators of severity recorded in the emergency department. The main outcome was 30-day mortality. Secondary outcomes were in-hospital mortality, prolonged ICU stay, and prolonged hospital stay. Results: We included 470 patients with a median age of 68 years (first-third quartile range, 57-78 years); 61.1% were men, and 151 (32.1%) were undertriaged. Factors directly related to undertriage according to odds ratios (ORs) were age (OR = 1.017; 95% CI, 1.003-1.032), Quick Sequential Organ Failure Assessment score of 0 or 1 (OR = 1.761; 95% CI, 1.038-2.988), ratio of oxygen saturation to fraction of inspired oxygen greater than 300 (OR = 2.447; 95% CI, 1.418-4.223), a diagnosis of infection (OR = 5.003, 95% CI 2.727-9.188) whether respiratory (OR = 3.993, 95% CI 1.919-8.310) or other (OR = 1.980, 95% CI, 1.036-3.785) versus a diagnosis of cardiovascular disease. Factors inversely related to undertriage were admission during the afternoon (OR = 0.512, 95% CI, 0.306-0.856) and ambulance transfer (OR = 0.373; 95% CI, 0.232-0.600). Ninety patients (19.1%) died within 30 days. Undertriage was not related to 30-day mortality or the other outcomes analyzed. (AU)

Undertriage of patients requiring direct admission to intensive care from the emergency department for medical conditions: impact on prognosis and associated factors. / Infratriaje en urgencias de pacientes que precisan ingreso directo en cuidados intensivos por enfermedades médicas: impacto en el pronóstico y factores asociados.

OBJECTIVES: To determine whether undertriage affects the outcome for patients requiring direct admission to the intensive care unit (ICU) from the emergency department due to a medical condition. To identify factors associated with undertriage. MATERIAL AND METHODS: Retrospective review of patients treated in 2018 for medical emergencies requiring direct admission to the ICU from the emergency department. The cases were classified in 2 groups according to the assigned triage level. Underestimation was defined as a triage level of III or more. Independent variables were demographic and epidemiologic data and indicators of severity recorded in the emergency department. The main outcome was 30-day mortality. Secondary outcomes were in-hospital mortality, prolonged ICU stay, and prolonged hospital stay. RESULTS: We included 470 patients with a median age of 68 years (first-third quartile range, 57-78 years); 61.1% were men, and 151 (32.1%) were undertriaged. Factors directly related to undertriage according to odds ratios (ORs) were age (OR = 1.017; 95% CI, 1.003-1.032), Quick Sequential Organ Failure Assessment score of 0 or 1 (OR = 1.761; 95% CI, 1.038-2.988), ratio of oxygen saturation to fraction of inspired oxygen greater than 300 (OR = 2.447; 95% CI, 1.418-4.223), a diagnosis of infection (OR = 5.003, 95% CI 2.727-9.188) whether respiratory (OR = 3.993, 95% CI 1.919-8.310) or other (OR = 1.980, 95% CI, 1.036-3.785) versus a diagnosis of cardiovascular disease. Factors inversely related to undertriage were admission during the afternoon (OR = 0.512, 95% CI, 0.306-0.856) and ambulance transfer (OR = 0.373; 95% CI, 0.232-0.600). Ninety patients (19.1%) died within 30 days. Undertriage was not related to 30-day mortality or the other outcomes analyzed. CONCLUSION: Undertriage was not associated with a worse outcome in patients requiring direct admission to the ICU for a medical emergency. The factors we found to be associated with undertriage, such as patient age and time of day admitted, merit special attention given that these factors should not be affecting the triage process.

OBJETIVO: Determinar si el infratriaje tiene impacto pronóstico en pacientes que requieren ingreso desde urgencias en cuidados intensivos por enfermedad médica e identificar factores asociados. METODO: Revisión retrospectiva de pacientes atendidos durante 2018 por enfermedades médicas con ingreso directo en cuidados intensivos desde urgencias. Se clasificaron en dos grupos en función del nivel de triaje asignado y se consideró infratriaje un nivel de triaje III. Las variables independientes incluyeron datos demográficos, epidemiológicos e indicadores de gravedad en urgencias. Se registró la mortalidad a los 30 días (objetivo primario), así como la mortalidad hospitalaria, el ingreso prolongado en cuidados intensivos o el ingreso prolongado hospitalario (objetivos secundarios). RESULTADOS: Se incluyeron 470 pacientes [edad 68 años (rango 57-78), 61,1% hombres] de los que 151 (32,1%) formaban el grupo con infratriaje. Los factores relacionados con el infratriaje fueron la edad (OR = 1,017; IC 95% 1,003- 1,032), indicador qSOFA 0-1 (OR = 1,761; IC 95% 1,038-2,988), índice SpO2/FiO2 > 300 (OR = 2,447; IC 95% 1,418- 4,223) y el diagnóstico de infección (OR = 5,003; IC 95% 2,727-9,188), respiratorio (OR = 3,993; IC 95% 1,919-8,310) u otro (OR = 1,980; IC 95% 1,036-3,785) respecto al diagnóstico cardiovascular, mientras que la admisión en horario de tarde (OR = 0,512; IC 95% 0,306-0,856) o el traslado en ambulancia (OR = 0,373; IC 95% 0,232- 0,600) se relacionaron de forma inversa con el infratriaje. El evento mortalidad a 30 días tuvo lugar en 90 pacientes (19,1%). El infratriaje no se relacionó con la mortalidad a 30 días ni con el resto de los objetivos analizados. CONCLUSIONES: El infratriaje no se relacionó con un peor pronóstico en pacientes con ingreso directo en intensivos por enfermedad médica. Se han identificado factores relacionados con el infratriaje, como la edad o el horario de admisión que merecen una atención especial, ya que no deberían afectar el proceso de triaje.

Análisis de mortalidad de los pacientes atendidos por COVID-19 en el servicio de urgencias de un hospital de tercer nivel en la fase incial de la pandemia. Derivación de un modelo de riesgo para urgencias / Mortality in patients treated for COVID-19 in the emergency department of a tertiary care hospital during the first phase of the pandemic: Derivation of a risk model for emergency departments

Objetivo. Derivar un modelo de riesgo para estimar la probabilidad de mortalidad a los 30 días de la visita a urgencias de pacientes con COVID-19. Método. Estudio observacional de cohortes retrospectivo de 2.511 pacientes con COVID-19 atendidos en el servicio de urgencias hospitalario (SUH) del 1 de marzo al 30 de abril de 2020. Se realizó análisis de supervivencia mediante Kaplan Meier y regresión de Cox. Resultados. La mortalidad por cualquier causa a los 30 días fue de un 8%. Los factores asociados de forma independiente a mayor mortalidad fueron: edad $ 50 años, índice de Barthel < 90 puntos, alteración del nivel de consciencia, índice de SaO2/FIO2 < 400, auscultación respiratoria anómala, cifra de plaquetas < 100.000/mm3, PCR $ 5 mg/dL y filtrado glomerular < 45 mL/min. A estos factores se les asignó una puntuación de 1, excepto a la edad, que se le asignó un valor de 2 puntos. Se dividió el modelo de riesgo en 3 categorías: riesgo bajo (menor o igual a 4 puntos), riesgo intermedio (5-6 puntos) y riesgo alto (igual o superior a 7 puntos). Para los pacientes clasificados como de bajo riesgo la probabilidad de mortalidad a los 30 días fue del 1,7%, en los casos de riesgo intermedio fue del 28,2% y para los de alto riesgo fue del 67,3%. Conclusión. Disponer de una herramienta para estratificar el riesgo de mortalidad de los pacientes con COVID-19 que consultan a un SUH podría ser de utilidad para la gestión de los recursos sanitarios disponibles. (AU)

Objectives: To develop a risk model to predict 30-day mortality after emergency department treatment for COVID-19. Material and methods: Observational retrospective cohort study including 2511 patients with COVID-19 who came to our emergency department between March 1 and April 30, 2020. We analyzed variables with Kaplan Meier survival and Cox regression analyses. Results: All-cause mortality was 8% at 30 days. Independent variables associated with higher risk of mortality were age over 50 years, a Barthel index score less than 90, altered mental status, the ratio of arterial oxygen saturation to the fraction of inspired oxygen (SaO2/FIO2), abnormal lung sounds, platelet concentration less than 100 000/mm3, a C-reactive protein concentration of 5 mg/dL or higher, and a glomerular filtration rate less than 45 mL/min. Each independent predictor was assigned 1 point in the score except age, which was assigned 2 points. Risk was distributed in 3 levels: low risk (score of 4 points or less), intermediate risk (5 to 6 points), and high risk (7 points or above). Thirty-day risk of mortality was 1.7% for patients who scored in the low-risk category, 28.2% for patients with an intermediate risk score, and 67.3% for those with a high risk score. Conclusion: This mortality risk stratification tool for patients with COVID-19 could be useful for managing the course of disease and assigning health care resources in the emergency department. (AU)

Mortality in patients treated for COVID-19 in the emergency department of a tertiary care hospital during the first phase of the pandemic: Derivation of a risk model for emergency departments. / Análisis de mortalidad de los pacientes atendidos por COVID-19 en el servicio de urgencias de un hospital de tercer nivel en la fase incial de la pandemia. Derivación de un modelo de riesgo para urgencias.

OBJECTIVES: To develop a risk model to predict 30-day mortality after emergency department treatment for COVID-19. MATERIAL AND METHODS: Observational retrospective cohort study including 2511 patients with COVID-19 who came to our emergency department between March 1 and April 30, 2020. We analyzed variables with Kaplan Meier survival and Cox regression analyses. RESULTS: All-cause mortality was 8% at 30 days. Independent variables associated with higher risk of mortality were age over 50 years, a Barthel index score less than 90, altered mental status, the ratio of arterial oxygen saturation to the fraction of inspired oxygen (SaO2/FIO2), abnormal lung sounds, platelet concentration less than 100 000/mm3, a C-reactive protein concentration of 5 mg/dL or higher, and a glomerular filtration rate less than 45 mL/min. Each independent predictor was assigned 1 point in the score except age, which was assigned 2 points. Risk was distributed in 3 levels: low risk (score of 4 points or less), intermediate risk (5 to 6 points), and high risk (7 points or above). Thirty-day risk of mortality was 1.7% for patients who scored in the low-risk category, 28.2% for patients with an intermediate risk score, and 67.3% for those with a high risk score. CONCLUSION: This mortality risk stratification tool for patients with COVID-19 could be useful for managing the course of disease and assigning health care resources in the emergency department.

OBJETIVO: Derivar un modelo de riesgo para estimar la probabilidad de mortalidad a los 30 días de la visita a urgencias de pacientes con COVID-19. METODO: Estudio observacional de cohortes retrospectivo de 2.511 pacientes con COVID-19 atendidos en el servicio de urgencias hospitalario (SUH) del 1 de marzo al 30 de abril de 2020. Se realizó análisis de supervivencia mediante Kaplan Meier y regresión de Cox. RESULTADOS: La mortalidad por cualquier causa a los 30 días fue de un 8%. Los factores asociados de forma independiente a mayor mortalidad fueron: edad 50 años, índice de Barthel 90 puntos, alteración del nivel de consciencia, índice de SaO2/FIO2 400, auscultación respiratoria anómala, cifra de plaquetas 100.000/mm3, PCR 5 mg/dL y filtrado glomerular 45 mL/min. A estos factores se les asignó una puntuación de 1, excepto a la edad, que se le asignó un valor de 2 puntos. Se dividió el modelo de riesgo en 3 categorías: riesgo bajo (menor o igual a 4 puntos), riesgo intermedio (5-6 puntos) y riesgo alto (igual o superior a 7 puntos). Para los pacientes clasificados como de bajo riesgo la probabilidad de mortalidad a los 30 días fue del 1,7%, en los casos de riesgo intermedio fue del 28,2% y para los de alto riesgo fue del 67,3%. CONCLUSIONES: Disponer de una herramienta para estratificar el riesgo de mortalidad de los pacientes con COVID-19 que consultan a un SUH podría ser de utilidad para la gestión de los recursos sanitarios disponibles.

Factors associated with revisits by patients with SARS-CoV-2 infection discharged from a hospital emergency department. / Factores asociados a revisita en pacientes con diagnóstico de infección por SARS-CoV-2 dados de alta de un servicio de urgencias hospitalario.

OBJECTIVES: To analyze emergency department (ED) revisits from patients discharged with possible coronavirus disease 2019 (COVID-19). MATERIAL AND METHODS: Retrospective observational study of consecutive patients who came to the ED over a period of 2 months and were diagnosed with possible COVID-19. We analyzed clinical and epidemiologic variables, treatments given in the ED, discharge destination, need to revisit, and reasons for revisits. Patients who did or did not revisit were compared, and factors associated with revisits were explored. RESULTS: The 2378 patients included had a mean age of 57 years; 49% were women. Of the 925 patients (39%) discharged, 170 (20.5%) revisited the ED, mainly for persistence or progression of symptoms. Sixty-six (38.8%) were hospitalized. Odds ratios (ORs) for the following factors showed an association with revisits: history of rheumatologic disease (OR, 2.97; 95% CI, 1.10-7.99; P = .03), digestive symptoms (OR, 1.73; 95% CI, 1.14-2.63; P = .01), respiratory rate over 20 breaths per minute (OR, 1.03; 95% CI, 1.0-1.06; P = .05), and corticosteroid therapy given in the ED (OR, 7.78; 95% CI, 1.77-14.21, P = .01). Factors associated with hospitalization after revisits were age over 48 years (OR, 2.57; 95% CI, 1 42-4.67; P = .002) and fever (OR, 4.73; 95% CI, 1.99-11.27; P = .001). CONCLUSION: Patients under the age of 48 years without comorbidity and with normal vitals can be discharged from the ED without fear of complications. A history of rheumatologic disease, fever, digestive symptoms, and a respiratory rate over 20 breaths per minute, or a need for corticosteroid therapy were independently associated with revisits. Fever and age over 48 years were associated with a need for hospitalization.

OBJETIVO: Analizar las revisitas y los factores asociados a la misma en pacientes con diagnóstico de posible COVID-19 dados de alta de un servicio de urgencias hospitalario (SUH). METODO: Estudio observacional, retrospectivo que incluyó pacientes consecutivos que consultaron al SUH en un periodo de 2 meses y fueron diagnosticados de posible de COVID-19. Se analizaron variables clínico-epidemiológicas, tratamiento administrado en urgencias, destino final, revisita al SUH y motivo de esta. Se hizo un análisis comparativo entre ambos grupos (revisita sí/no) y se identificaron factores asociados a la revisita. RESULTADOS: Se incluyeron 2.378 pacientes (edad media 57 años; 49% mujeres). De los pacientes dados de alta (39% del total; n = 925), 170 (20,5%) reconsultaron al SUH, principalmente por persistencia o progresión de síntomas, y 66 (38,8%) precisaron ingreso. Los factores relacionados con la revisita fueron: antecedentes de enfermedad reumatológica [OR: 2,97 (IC 95%: 1,10-7,99, p = 0,03)], síntomas digestivos [OR: 1,73 (IC 95%: 1,14-2,63, p = 0,01)], frecuencia respiratoria $ 20 [OR: 1,03 (IC 95%: 1,0-1,06, p = 0,05)] y haber recibido tratamiento con esteroides en urgencias [OR: 7,78 (IC 95%: 1,77-14,21, p = 0,01)]. Los factores asociados al ingreso en la revisita fueron la edad $ 48 años [OR: 2,57 (IC 95%: 1,42-4,67, p = 0,002)] y presentar fiebre [OR: 4,73 (IC 95%: 1,99-11,27, p = 0,001)]. CONCLUSIONES: Los pacientes con posible COVID-19 menores de 48 años, sin comorbilidad y con signos vitales normales podrían ser dados de alta desde urgencias sin temor a sufrir complicaciones. Los antecedentes de enfermedad reumatológica, fiebre, sintomas digestivos, frecuencia respiratoria $ 20/min o necesidad de tratamiento con esteroides fueron factores independientes de revisita, y la fiebre y edad $ 48 años de necesidad de ingreso.

Triaje, predicción de ingreso y constantes vitales / Triage, predicting hospital admission, and vital constants

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Factores asociados a revisita en pacientes con diagnóstico de infección por SARS-CoV-2 dados de alta de un servicio de urgencias hospitalario / Factors associated with revisits by patients with SARS-CoV-2 infection discharged from a hospital emergency department

OBJETIVO: Analizar las revisitas y los factores asociados a la misma en pacientes con diagnóstico de posible COVID-19 dados de alta de un servicio de urgencias hospitalario (SUH). MÉTODO: Estudio observacional, retrospectivo que incluyó pacientes consecutivos que consultaron al SUH en un periodo de 2 meses y fueron diagnosticados de posible de COVID-19. Se analizaron variables clínico-epidemiológicas, tratamiento administrado en urgencias, destino final, revisita al SUH y motivo de esta. Se hizo un análisis comparativo entre ambos grupos (revisita sí/no) y se identificaron factores asociados a la revisita. RESULTADOS: Se incluyeron 2.378 pacientes (edad media 57 años; 49% mujeres). De los pacientes dados de alta (39% del total; n = 925), 170 (20,5%) reconsultaron al SUH, principalmente por persistencia o progresión de síntomas, y 66(38,8%) precisaron ingreso. Los factores relacionados con la revisita fueron: antecedentes de enfermedad reumatológica [OR: 2,97 (IC 95%: 1,10-7,99, p = 0,03)], síntomas digestivos [OR: 1,73 (IC 95%: 1,14-2,63, p = 0,01)], frecuencia respiratoria>=20 [OR: 1,03 (IC 95%: 1,0-1,06, p = 0,05)] y haber recibido tratamiento con esteroides en urgencias[OR: 7,78 (IC 95%: 1,77-14,21, p = 0,01)]. Los factores asociados al ingreso en la revisita fueron la edad>=48 años[OR: 2,57 (IC 95%: 1,42-4,67, p = 0,002)] y presentar fiebre [OR: 4,73 (IC 95%: 1,99-11,27, p = 0,001)]. CONCLUSIÓN: Los pacientes con posible COVID-19 menores de 48 años, sin comorbilidad y con signos vitales normales podrían ser dados de alta desde urgencias sin temor a sufrir complicaciones. Los antecedentes de enfermedad reumatológica, fiebre, sintomas digestivos, frecuencia respiratoria>=20/min o necesidad de tratamiento con esteroides fueron factores independientes de revisita, y la fiebre y edad>=48 años de necesidad de ingreso

OBJECTIVE: To analyze emergency department (ED) revisits from patients discharged with possible coronavirus disease2019 (COVID-19). METHODS: Retrospective observational study of consecutive patients who came to the ED over a period of 2 monthsand were diagnosed with possible COVID-19. We analyzed clinical and epidemiologic variables, treatments given inthe ED, discharge destination, need to revisit, and reasons for revisits. Patients who did or did not revisit werecompared, and factors associated with revisits were explored. RESULTS: The 2378 patients included had a mean age of 57 years; 49% were women. Of the 925 patients (39%) discharged, 170 (20.5%) revisited the ED, mainly for persistence or progression of symptoms. Sixty-six (38.8%) were hospitalized. Odds ratios (ORs) for the following factors showed an association with revisits: history of rheumatologic disease (OR, 2.97; 95% CI, 1.10-7.99;P= .03), digestive symptoms (OR, 1.73; 95% CI, 1.14-2.63;P= .01), respiratory rate over 20 breaths per minute (OR, 1.03; 95% CI, 1.0-1.06;P = .05), and corticosteroid therapy given in the ED (OR, 7.78; 95% CI, 1.77-14.21,P= .01). Factors associated with hospitalization after revisits were age over 48 years (OR, 2.57; 95% CI, 1 42-4.67;P= .002) and fever (OR, 4.73; 95% CI, 1.99-11.27;P= .001). CONCLUSIONS: Patients under the age of 48 years without comorbidity and with normal vitals can be discharged from the ED without fear of complications. A history of rheumatologic disease, fever, digestive symptoms, and a respiratory rate over 20 breaths per minute, or a need for corticosteroid therapy were independently associated with revisits. Fever and age over 48 years were associated with a need for hospitalization

Asociación entre los datos clínicos y electrocardiográficos iniciales en pacientes con dolor torácico no traumático y la sospecha inicial y el diagnóstico final de síndrome coronario agudo / Nontraumatic chest pain and suspicion of acute coronary syndrome: associated clinical and electrocardiographic findings on initial evaluation

Objetivos. Analizar qué características clínicas y del ECG de la primera valoración de pacientes con dolor torácico no traumático (DNT) se asocian con una clasificación inicial de sospecha de síndrome coronario agudo (SCA) y con el diagnóstico final de SCA, e identificar cuáles resultan sobre o infravaloradas durante la clasificación inicial. Método. Se incluyeron las consultas consecutivas por DTNT en una unidad de dolor torácico durante 10 años (2008-2017) en las que se disponía de los diagnósticos inicial de sospecha (SCA/no SCA) y final de alta de urgencias (SCA/no SCA). Se incluyeron 33 variables independientes (2 demográficas, 5 comorbilidad cardiovascular, 22 dolor torácico, 4 datos ECG). Se calcularon las odds ratio (OR) para la clasificación (inicial y final) como SCA para cada variable independiente, crudas y ajustadas en modelos globales que incluían todas ellas. En estos modelos ajustados se comparó si las OR para la clasificación inicial y final como SCA eran significativamente diferentes. Resultados. Se incluyeron 34.552 visitas. Las 33 variables analizadas mostraron asociación significativa para la clasificación inicial y final del DTNT como SCA, y en muchos casos esta asociación se mantuvo en el modelo ajustado. Diecinueve variables mostraron OR significativamente diferentes para la sospecha inicial de SCA que para el diagnóstico final de SCA: 10 sobrestimaban la asociación final y 9 la subestimaban. Conclusión. Los datos clínicos iniciales clásicamente utilizados para sospechar SCA pacientes con DTNT en urgencias identifican todos ellos individualmente a pacientes con riesgo incrementado de ser clasificado inicial y finalmente como SCA; sin embargo, algunos de ellos sobreestiman y otros subestiman inicialmente el riesgo final. Los urgenciólogos debieran sensibilizarse más con estos datos subestimados

Objectives. To analyze clinical data and electrocardiographic (ECG) findings obtained during the initial evaluation of patients with nontraumatic chest pain (NTCP). To explore associations between these findings and the initial and final diagnoses of acute coronary syndrome (ACS). To assess which variables initially over- or underestimate risk ACS. Methods. Consecutive patients with NTCP attended in a chest pain unit during the 10-year period of 2008–2017 were included if the suspected and discharge diagnoses of interest (ACS or non-ACS) had been recorded. Thirtythree independent variables (demographic, 2; cardiovascular, 5; chest pain, 22; ECG, 4). We included all variables in models to calculate crude and adjusted odds ratios (ORs) between each independent variable and the initial and final diagnoses. The adjusted ORs were compared to determine whether the initial and final diagnoses of ACS differed significantly in relation to the variables. Results. A total of 34 552 patient visits were attended. The ORs for the 33 variables were significantly associated with initial and final NTCP classification as ACS or non-ACS, and in many cases the association was confirmed by the adjusted ORs. The adjusted ORs for 19 variables were significantly different in their relation to the initial and final diagnoses of ACS: 10 overpredicted the probability of the diagnosis and 9 underpredicted it. Conclusions. The variables traditionally used to warn of ACS in emergency patients with NTCP identify individuals likely to be initially and finally diagnosed with ACS. However, some of these variables overestimate or underestimate the risk of a final ACS diagnosis. Emergency medicine physicians should be aware of variables associated with underestimation of risk

Nontraumatic chest pain and suspicion of acute coronary syndrome: associated clinical and electrocardiographic findings on initial evaluation. / Asociación entre los datos clínicos y electrocardiográficos iniciales en pacientes con dolor torácico no traumático y la sospecha inicial y el diagnóstico final de síndrome coronario agudo.

OBJECTIVES: To analyze clinical data and electrocardiographic (ECG) findings obtained during the initial evaluation of patients with nontraumatic chest pain (NTCP). To explore associations between these findings and the initial and final diagnoses of acute coronary syndrome (ACS). To assess which variables initially over- or underestimate risk ACS. MATERIAL AND METHODS: Consecutive patients with NTCP attended in a chest pain unit during the 10-year period of 2008-2017 were included if the suspected and discharge diagnoses of interest (ACS or non-ACS) had been recorded. Thirtythree independent variables (demographic, 2; cardiovascular, 5; chest pain, 22; ECG, 4). We included all variables in models to calculate crude and adjusted odds ratios (ORs) between each independent variable and the initial and final diagnoses. The adjusted ORs were compared to determine whether the initial and final diagnoses of ACS differed significantly in relation to the variables. RESULTS: A total of 34 552 patient visits were attended. The ORs for the 33 variables were significantly associated with initial and final NTCP classification as ACS or non-ACS, and in many cases the association was confirmed by the adjusted ORs. The adjusted ORs for 19 variables were significantly different in their relation to the initial and final diagnoses of ACS: 10 overpredicted the probability of the diagnosis and 9 underpredicted it. CONCLUSION: The variables traditionally used to warn of ACS in emergency patients with NTCP identify individuals likely to be initially and finally diagnosed with ACS. However, some of these variables overestimate or underestimate the risk of a final ACS diagnosis. Emergency medicine physicians should be aware of variables associated with underestimation of risk.

OBJETIVO: Evaluar la utilidad del cuestionario COPD Asessment Test (CAT) para valorar la recuperación de la exacerbación de la enfermedad pulmonar obstructiva crónica (EA-EPOC). Evaluar si la puntuación CAT aumenta la capacidad predictiva de mala evolución de una escala de gravedad para EA-EPOC. METODO: Se incluyeron las consultas consecutivas por DTNT en una unidad de dolor torácico durante 10 años (2008-2017) en las que se disponía de los diagnósticos inicial de sospecha (SCA/no SCA) y final de alta de urgencias (SCA/no SCA). Se incluyeron 33 variables independientes (2 demográficas, 5 comorbilidad cardiovascular, 22 dolor torácico, 4 datos ECG). Se calcularon las odds ratio (OR) para la clasificación (inicial y final) como SCA para cada variable independiente, crudas y ajustadas en modelos globales que incluían todas ellas. En estos modelos ajustados se comparó si las OR para la clasificación inicial y final como SCA eran significativamente diferentes. RESULTADOS: Se incluyeron 34.552 visitas. Las 33 variables analizadas mostraron asociación significativa para la clasificación inicial y final del DTNT como SCA, y en muchos casos esta asociación se mantuvo en el modelo ajustado. Diecinueve variables mostraron OR significativamente diferentes para la sospecha inicial de SCA que para el diagnóstico final de SCA: 10 sobrestimaban la asociación final y 9 la subestimaban. CONCLUSIONES: Los datos clínicos iniciales clásicamente utilizados para sospechar SCA pacientes con DTNT en urgencias identifican todos ellos individualmente a pacientes con riesgo incrementado de ser clasificado inicial y finalmente como SCA; sin embargo, algunos de ellos sobreestiman y otros subestiman inicialmente el riesgo final. Los urgenciólogos debieran sensibilizarse más con estos datos subestimados.

Respuesta de los autores: El agotamiento emocional del enfermero de triaje y su relación con el nivel de triaje asignado / Authors' reply: Emotional exhaustion in triage nurses and its relation to triage level

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Care Bundles after Discharging Patients with Chronic Obstructive Pulmonary Disease Exacerbation from the Emergency Department.

Chronic obstructive pulmonary disease (COPD) is the second leading cause of emergency department (ED) admissions to hospital, and nearly a third of patients with acute exacerbation (AE) of COPD are re-admitted to hospital within 28 days after discharge. It has been suggested that nearly a third of COPD admissions could be avoided through the implementation of evidence-based care interventions. A COPD discharge bundle is a set of evidence-based practices, aimed at improving patient outcomes after discharge from AE COPD; body of evidence supports the usefulness of discharge care bundles after AE of COPD, although there is a lack of consensus of what interventions should be implemented. On the other hand, the implementation of those interventions also involves different challenges. Important care gaps remain regarding discharge care bundles for patients with acute exacerbation of COPD discharged from EDs There is an urgent need for investigations to guide future implementation of care bundles for those patients discharged from EDs.

Relación entre la asignación del nivel de triaje y las características y experiencia del personal de enfermería / Triage level assignment and nurse characteristics and experience

OBJETIVO: Investigar la relación entre las características demográficas y experiencia de los enfermeros que realizan triaje y la asignación de pacientes a un determinado nivel de urgencia. MÉTODO: Estudio observacional retrospectivo llevado a cabo durante 1 año en el área de triaje de un hospital universitario terciario que usa el Model Andorrà de Triatge/Sistema Español de Triage (MAT/SET). VARIABLES: edad, sexo, experiencia en enfermería, experiencia en triaje, turno de trabajo, nivel asistencial donde trabajaban, número de triajes realizados y porcentaje de pacientes asignados a cada nivel de triaje. RESULTADOS: Se incluyeron 50 enfermeros (5 hombres y 45 mujeres) con una edad de 45 (DE 9) años que efectuaron 67.803 triajes. Los enfermeros del turno mañana clasificaban más pacientes en el nivel 5 que las de turno tarde (7,9% frente a 5,5%, p = 0,003). Este mayor porcentaje en el nivel 5 también se registraba de forma significativa cuanta más edad tenía el enfermero (β = 0,092, p = 0,037) y cuanta mayor experiencia acumulaba (β = 0,103, p = 0,017). El número de triajes efectuados por cada enfermero se relacionó, significativa y directamente, con el porcentaje de pacientes clasificados en nivel 3 (β = 0,003, p = 0,006) e, inversamente, con el porcentaje de pacientes clasificados en nivel 4 (β = -0,002, p = 0,008) y en nivel 5 (β = -0,001, p = 0,017). CONCLUSIÓN: Se ha objetivado una relación entre la edad, la experiencia acumulada, el turno de trabajo y el número total de triajes que efectúa un enfermero con el nivel de triaje asignado

OBJECTIVE: To study the relation between nursing staff demographics and experience and their assignment of triage level in the emergency department. Methods. One-year retrospective observational study in the triage area of a tertiary care urban university hospital that applies the Andorran-Spanish triage model. Variables studied were age, gender, nursing experience, triage experience, shift, usual level of emergency work the nurse undertakes, number of triage decisions made, and percentage of patients assigned to each level. Results. Fifty nurses (5 men, 45 women) with a mean (SD) age of 45 (9) years triaged 67 803 patients during the year. Nurses classified more patients in level 5 on the morning shift (7.9%) than on the afternoon shift (5.5%) (P=.003). The difference in the rate of level-5 triage classification became significant when nurses were older (β = 0.092, P=.037) and experience was greater (β = 0.103, P=.017). The number of triages recorded by a nurse was significantly and directly related to the percentage of patients assigned to level 3 (β = 0.003, P=.006) and inversely related to the percentages assigned to level 4 (β = -0.002, P=.008) and level 5 (β = -0.001, P=.017). Conclusion. We found that triage level assignments were related to age, experience, shift, and total number of patients triaged by a nurse

Triage level assignment and nurse characteristics and experience. / Relación entre la asignación del nivel de triaje y las características y experiencia del personal de enfermería.

OBJECTIVES: To study the relation between nursing staff demographics and experience and their assignment of triage level in the emergency department. MATERIAL AND METHODS: One-year retrospective observational study in the triage area of a tertiary care urban university hospital that applies the Andorran-Spanish triage model. Variables studied were age, gender, nursing experience, triage experience, shift, usual level of emergency work the nurse undertakes, number of triage decisions made, and percentage of patients assigned to each level. RESULTS: Fifty nurses (5 men, 45 women) with a mean (SD) age of 45 (9) years triaged 67 803 patients during the year. Nurses classified more patients in level 5 on the morning shift (7.9%) than on the afternoon shift (5.5%) (P=.003). The difference in the rate of level-5 triage classification became significant when nurses were older (ß = 0.092, P=.037) and experience was greater (ß = 0.103, P=.017). The number of triages recorded by a nurse was significantly and directly related to the percentage of patients assigned to level 3 (ß = 0.003, P=.006) and inversely related to the percentages assigned to level 4 (ß = -0.002, P=.008) and level 5 (ß = -0.001, P=.017). CONCLUSION: We found that triage level assignments were related to age, experience, shift, and total number of patients triaged by a nurse.

OBJETIVO: Investigar la relación entre las características demográficas y experiencia de los enfermeros que realizan triaje y la asignación de pacientes a un determinado nivel de urgencia. METODO: Estudio observacional retrospectivo llevado a cabo durante 1 año en el área de triaje de un hospital universitario terciario que usa el Model Andorrà de Triatge/Sistema Español de Triage (MAT/SET). Variables: edad, sexo, experiencia en enfermería, experiencia en triaje, turno de trabajo, nivel asistencial donde trabajaban, número de triajes realizados y porcentaje de pacientes asignados a cada nivel de triaje. RESULTADOS: Se incluyeron 50 enfermeros (5 hombres y 45 mujeres) con una edad de 45 (DE 9) años que efectuaron 67.803 triajes. Los enfermeros del turno mañana clasificaban más pacientes en el nivel 5 que las de turno tarde (7,9% frente a 5,5%, p = 0,003). Este mayor porcentaje en el nivel 5 también se registraba de forma significativa cuanta más edad tenía el enfermero (ß = 0,092, p = 0,037) y cuanta mayor experiencia acumulaba (ß = 0,103, p = 0,017). El número de triajes efectuados por cada enfermero se relacionó, significativa y directamente, con el porcentaje de pacientes clasificados en nivel 3 (ß = 0,003, p = 0,006) e, inversamente, con el porcentaje de pacientes clasificados en nivel 4 (ß = ­0,002, p = 0,008) y en nivel 5 (ß = ­0,001, p = 0,017). CONCLUSIONES: Se ha objetivado una relación entre la edad, la experiencia acumulada, el turno de trabajo y el número total de triajes que efectúa un enfermero con el nivel de triaje asignado.

Validation of a triage flowchart to rule out acute coronary syndrome.

OBJECTIVE: To validate a triage flowchart to rule out acute coronary syndrome (ACS) in chest pain patients attending the emergency department (ED). METHODS: An observational cohort study of consecutive patients. In all cases, a previously derived five-step triage flowchart (age ≤ 40 years, absence of diabetes, not previously known coronary artery disease, non-oppressive and non-retrosternal pain) was applied. Patients meeting all five discriminators were grouped as 'five-step triage non-ACS', the rest as 'five-step triage ACS'. The same strategy was used with a four-step model (without age ≤ 40 years). After ED study and 1-month follow-up, patients were definitively classified as 'true ACS' or 'true non-ACS'. Validity indexes and receiver operating characteristics curves were calculated. RESULTS: 4231 patients were included: 918 (21.7%) were 'true ACS', 3303 (78.1%) 'true non-ACS'; 10 (0.2%) were lost to follow-up. The five-step triage flowchart classified 4000 (94.8%) as 'triage ACS' and 221 (5.2%) as 'triage non-ACS'; none of the latter was 'true ACS'. The four-step model classified 3194 (75.6%) as 'triage ACS' and 1027 (24.4%) as 'triage non-ACS'. A 'true ACS' was seen in 26 patients from the latter group. Accordingly, five-step triage flowchart specificity and positive predictive value (PPV) to rule out ACS were 100% (95% CI 100% to 100%). For the four-step model specificity and PPV were 97% (95% CI 96% to 98%). CONCLUSION: The five-step triage flowchart identifies chest pain patients without an ACS. However, only 5% of these patients meet these five criteria. A simpler model allows greater patient inclusion but a higher risk of misclassification of true ACS.

Respuesta: Enalapril endovenoso e hipertensión arterial / No disponible

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Predictors and outcomes of frequent chest pain unit users.

AIM: To determine predictors of frequent chest pain unit (CPU) users and to identify characteristics and outcomes of their CPU visits. PATIENTS AND METHODS: Observational prospective case-control study. Frequent CPU user was defined by 3 or more CPU visits within the study year. A control patient and a control visit were randomly selected for each case patient and case visit. Demographic, clinical, and outcome variables were collected from medical record and phone interview performed in a 30-day interval. A multivariate logistic regression analysis was used to identify frequent CPU users' predictors. RESULTS: Of 1934 patients presenting during the year, 80 (4.1%) met the definition for case patient. They accounted for 352 (13%) of 2709 CPU visits. Sixty-seven (83.7%) case patients and 71 (88.7%) control patients were contacted. The final predictors were the following: Karnofsky Performance Scale of 70 or lesser (odds ratio [OR], 5.24 [95% confidence interval {CI}, 1.71-16.06]), previous hospitalization (OR, 3.76 [95% CI, 1.49-9.49]), previously known coronary artery disease (OR, 3.72 [95% CI, 1.32-10.52]), and symptoms of depression (OR, 2.98 [95% CI, 1.14-7.78]). Case visits were more likely at night (OR, 2.41 [95% CI, 1.64- 3.52]), generated more diagnostic uncertainty (OR, 2.39 [95% CI, 1.71-3.35]), but did not increase the need of hospital admission. CONCLUSIONS: Frequent CPU user is associated with previously known coronary artery disease, previous hospitalization, impaired performance status, and presence of symptoms of depression. They are more likely to arrive on CPU at night and generate more diagnostic uncertainty.

Resultados alcanzados con la puesta en marcha del circuito “Código Ictus” en un gran hospital: papel de urgencias y análisis de la curva de aprendizaje / Stroke code implementation in a large hospital: outcomes, the role of the emergency department, and analysis of the learning curve

Objetivo: Analizar el desarrollo y los resultados obtenidos con la puesta en marcha del circuito “Código Ictus” (CI), tanto en su fase de implementación intrahospitalaria, en un primer periodo, como en la fase de implementación intra y extrahospitalaria, en un segundo periodo. Método: Se definieron 2 periodos: un primer periodo A de 8 meses con circuito CI intrahospitalario y un segundo periodo B de 12 meses con circuito CI intra y extrahospitalario. De cada periodo se contabilizaron el número de ictus con criterio de CI, los CI activados, los CI con estudio completado y aquéllos que acabaron recibiendo tratamiento fibrinolítico. Finalmente se compararon los 2 periodos descritos (..) (AU)

Conclusiones: Estos resultados reflejan que la puesta en marcha de una atención protocolizaday consensuada entre los dispositivos extra e intrahospitalarios para los pacientescon ictus de menos de 3 horas de evolución consigue un porcentaje final de ictus fibrinolizadosdel 6%, lo cual no supone un incremento porcentual de tratamiento fibrinolíticorespecto al periodo de protocolo exclusivamente intrahospitalario. De este estudio seextrae, además, que las principales causas por las que no se consigue aumentar esteporcentaje son por una parte la tardanza en la llegada del paciente a urgencias y la presenciade diagnósticos alternativos, por otra. [Emergencias 2009;21:105-113]

Objective: To analyze the implementation of a stroke code protocol and the results obtained in an initial phase inside a hospital and in a second phase during which the stroke code was also used for attending emergencies outside thehospital. Methods: Retrospective analysis of 20 months' application of the stroke code protocol. Two periods were defined for analysis. During the first period of 8 months, the code was used inside the hospital. In a second period of 12 months the code was used both inside and outside the hospital. Data collected for analysis of each period were the numbers of strokes diagnosed according to the stroke code criteria, the number of times the protocol was activated, the number of code procedures finalized, and the number of patients who received fibrinolytic therapy. The results obtained during the2 periods were compared (..) (AU)

Triage flowchart to rule out acute coronary syndrome.

AIM: The aim of the study was to establish a triage flowchart to rule out acute coronary syndrome (ACS) among patients with chest pain (CP) arriving on an Emergency Department (ED). PATIENTS AND METHOD: This prospective observational study included 1000 consecutive patients with CP arriving on an ED CP unit. Demographic and clinical characteristics along with vital signs were recorded as independent variables. After CP unit protocol completion and 1-month follow-up, patients were classified as (dependent variable) (1) true non-ACS (all noncoronary patients at the first visit that kept this condition when called 1 month later) or (2) true ACS (all the remaining patients). Relationship among variables was assessed by multiple logistic regression analysis. A triage flowchart was obtained from significant variables and applied to patients with CP who were then grouped in "triage non-ACS" and "triage ACS." Validity indexes to exclude ACS for triage flowchart were measured. RESULTS: Variables significantly associated with non-ACS and included in the triage flowchart were age <40 years (odds ratio 3.61, 95% CI 1.63-7.99), absence of diabetes (2.74, 1.53-4.88), no previously known coronary artery disease (5.46, 3.42-8.71), nonoppressive pain (10.63, 6.04-18.70), and nonretrosternal pain (5.16, 2.82-9.42). For the triage flowchart, both specificity and positive predictive value to rule out ACS were 100%. CONCLUSIONS: The triage flowchart is able to accurately identify patients with CP not having an ACS. It may help triage nurses make quick decisions on who should be immediately seen and who could safely wait when delays in medical attention are unavoidable. Prospective validation is needed.