Lesión laríngea en el traumatismo cervical cerrado / Laryngeal injury in closed cervical traumatism

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SCIWORA, una lesión a conocer y a perseguir / SCIWORA, an injury to know and diagnose

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Predicción de hemorragia masiva a nivel extrahospitalario: validación de seis escalas / Prediction of massive bleeding in a prehospital setting: validation of six scoring systems

Objetivo: Validar a nivel extrahospitalario la capacidad diagnóstica de seis escalas de predicción para hemorragia masiva. Diseño: Cohorte retrospectiva. Ámbito: Atención extrahospitalaria del paciente con enfermedad traumática grave. Participantes: Pacientes mayores de 15 años, que han sufrido un trauma grave (definido por los criterios de código 15), atendidos en el medio extrahospitalario por un servicio de atención sanitaria de emergencias desde enero de 2010 hasta diciembre de 2015 y trasladados a un centro hospitalario de alta complejidad en Madrid. Variables de interés principales: Se validaron las siguientes escalas: 1. Trauma Associated Severe Haemorrhage score. 2. Assessment of Blood Consumption Score. 3. Emergency Transfusion Score. 4. Índice de Shock. 5. Prince of Wales Hospital/Rainer Score. 6. Larson Score. Resultados: Se estudiaron 548 pacientes, el 76,8% (420) fueron hombres, una edad mediana de 38 (rango intercuartil [RIC]: 27-50). Injury Severity Score de 18 (RIC: 9-29). El trauma cerrado fue el 82,5% (452). La frecuencia global de HM fue de 9,2% (48), días de estancia en UCI de 2,1 (RIC: 0,8 - 6,2) y una mortalidad hospitalaria del 11,2% (59). La escala con mayor precisión fue la Emergency Transfusion Score (AUC 0,85), en segundo lugar se encuentran Trauma Associated Severe Haemorrhage y Prince of Wales Hospital/Rainer (AUC 0,82); la escala con menor precisión Assessment of Blood Consumption (AUC 0,68). Conclusiones: A nivel extrahospitalario la aplicación de cualquiera de las seis escalas predice la presencia de hemorragia masiva y permite la activación de los protocolos de transfusión masiva mientras el paciente es trasladado a un centro hospitalario

Objective: To validate the diagnostic ability of six different scores to predict massive bleeding in a prehospital setting. Design: Retrospective cohort. Setting: Prehospital attention of patients with severe trauma. Subjects: Subjects with more than 15 years, a history of severe trauma (defined by code 15 criteria), that were initially assisted in a prehospital setting by the emergency services between January 2010 and December 2015 and were then transferred to a level one trauma center in Madrid. Variables: To validate: 1. Trauma Associated Severe Haemorrhage Score. 2. Assessment of Blood Consumption Score. 3. Emergency Transfusión Score. 4. Índice de Shock. 5. Prince of Wales Hospital/Rainer Score. 6. Larson Score. Results: 548 subjects were studied, 76,8% (420) were male, median age was 38 (interquartile range [IQR]: 27-50). Injury Severity Score was 18 (IQR: 9-29). Blunt trauma represented 82,5% (452) of the cases. Overall, frequency of MB was 9,2% (48), median intensive care unit admission days was 2,1 (IQR: 0,8 - 6,2) and hospital mortality rate was 11,2% (59). Emergency Transfusión Score had the highest precisions (AUC 0,85), followed by Trauma Associated Severe Haemorrhage score and Prince of Wales Hospital/Rainer Score (AUC 0,82); Assessment of Blood Consumption Score was the less precise (AUC 0,68). Conclusion: In the prehospital setting the application of any the six scoring systems predicts the presence of massive hemorrhage and allows the activation of massive transfusion protocols while the patient is transferred to a hospital

Prediction of massive bleeding in a prehospital setting: validation of six scoring systems. / Predicción de hemorragia masiva a nivel extrahospitalario: validación de seis escalas.

OBJECTIVE: To validate the diagnostic ability of six different scores to predict massive bleeding in a prehospital setting. DESIGN: Retrospective cohort. SETTING: Prehospital attention of patients with severe trauma. SUBJECTS: Subjects with more than 15 years, a history of severe trauma (defined by code 15 criteria), that were initially assisted in a prehospital setting by the emergency services between January 2010 and December 2015 and were then transferred to a level one trauma center in Madrid. VARIABLES: To validate: 1. Trauma Associated Severe Haemorrhage Score. 2. Assessment of Blood Consumption Score. 3. Emergency Transfusión Score. 4. Índice de Shock. 5. Prince of Wales Hospital/Rainer Score. 6. Larson Score. RESULTS: 548 subjects were studied, 76,8% (420) were male, median age was 38 (interquartile range [IQR]: 27-50). Injury Severity Score was 18 (IQR: 9-29). Blunt trauma represented 82,5% (452) of the cases. Overall, frequency of MB was 9,2% (48), median intensive care unit admission days was 2,1 (IQR: 0,8 - 6,2) and hospital mortality rate was 11,2% (59). Emergency Transfusión Score had the highest precisions (AUC 0,85), followed by Trauma Associated Severe Haemorrhage score and Prince of Wales Hospital/Rainer Score (AUC 0,82); Assessment of Blood Consumption Score was the less precise (AUC 0,68). CONCLUSION: In the prehospital setting the application of any the six scoring systems predicts the presence of massive hemorrhage and allows the activation of massive transfusion protocols while the patient is transferred to a hospital.

Mejora en la seguridad de un proceso clínico utilizando el análisis modal de fallos y efectos: profilaxis de la enfermedad tromboembólica venosa en pacientes críticos / Improvement of the safety of a clinical process using failure mode and effects analysis: Prevention of venous thromboembolic disease in critically ill patients

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Mejora en la seguridad de un proceso clínico utilizando el análisis modal de fallos y efectos: profilaxis de la enfermedad tromboembólica venosa en pacientes críticos / Improvement of the safety of a clinical process using failure mode and effects analysis: Prevention of venous thromboembolic disease in critical patients

OBJETIVO: Mejorar la seguridad del paciente crítico en la prevención de enfermedad tromboembólica venosa mediante metodología de la herramienta de seguridad del análisis modal de fallos y efectos. DISEÑO: Estudio de cohortes con serie contemporánea de enero de 2014 a marzo de 2015 en 4 fases: fase 1) previa al análisis modal de fallos y efectos; fase 2) desarrollo del análisis modal e implementación de las mejoras detectadas; fase 3) evaluación de los resultados, y fase 4) impacto tras introducción post-checklist. Ámbito: Pacientes hospitalizados en una UCI polivalente de adultos en un hospital de tercer nivel. PACIENTES: Ciento noventa y seis pacientes hospitalizados en UCI, mayores de 18 años, sin enfermedad tromboembólica al ingreso y sin haber recibido tratamiento anticoagulante previamente. INTERVENCIONES: Tras el análisis modal, se implementó un paquete de intervenciones: formación, instauración de protocolo y checklist, para incrementar las medidas profilácticas de enfermedad tromboembólica. Variables de interés: Indicación y prescripción de medidas profilácticas de trombosis venosa antes y después de la implementación de medidas resultantes del análisis modal de fallos y efectos. RESULTADOS: En la fase 1 se incluyeron 59 pacientes, 97 en la fase 3 y 40 en la fase 4, analizando el porcentaje de pacientes que recibieron tromboprofilaxis. Se desarrolló un análisis modal de fallos y efectos detectando errores potenciales, asociados a la ausencia de formación y de protocolos relacionados con la enfermedad tromboembólica. Se elaboró una campaña de sensibilización y formación del personal, así como la introducción del protocolo para la prevención de tromboembolismo venoso. La prescripción de medidas profilácticas aumentó en el grupo de la fase 3 (91,7 vs. 71,2%, p = 0,001). En el grupo post-checklist, la profilaxis fue prescrita en el 97,5% de los pacientes, aumentado la indicación de la doble profilaxis (4,7, 6,7 y 41%; p < 0,05). No hubo diferencias en la tasa de complicaciones asociadas al incremento de medidas profilácticas. CONCLUSIONES: Tras el análisis modal de fallos y efectos, se objetivaron mejoras en la prevención de enfermedad tromboembólica en el paciente crítico, por lo que consideramos que puede ser una herramienta útil para mejorar la seguridad de nuestros pacientes en diferentes procesos

OBJECTIVE: To improve critical patient safety in the prevention of venous thromboembolic disease, using failure mode and effects analysis as safety tool. DESIGN: A contemporaneous cohort study covering the period January 2014-March 2015 was made in 4 phases: phase 1) prior to failure mode and effects analysis; phase 2) conduction of mode analysis and implementation of the detected improvements; phase 3) evaluation of outcomes, and phase 4) (post-checklist introduction impact. SETTING: Patients admitted to the adult polyvalent ICU of a third-level hospital center. PATIENTS: A total of 196 patients, older than 18 years, without thromboembolic disease upon admission to the ICU and with no prior anticoagulant treatment. INTERVENTIONS: A series of interventions were implemented following mode analysis: training, and introduction of a protocol and checklist to increase preventive measures in relation to thromboembolic disease. Variables of interest: Indication and prescription of venous thrombosis prevention measures before and after introduction of the measures derived from the failure mode and effects analysis. RESULTS: A total of 59, 97 and 40 patients were included in phase 1, 3 and 4, respectively, with an analysis of the percentage of subjects who received thromboprophylaxis. The failure mode and effects analysis was used to detect potential errors associated to a lack of training and protocols referred to thromboembolic disease. An awareness-enhancing campaign was developed, with staff training and the adoption of a protocol for the prevention of venous thromboembolic disease. The prescription of preventive measures increased in the phase 3 group (91.7 vs. 71.2%, P=.001). In the post-checklist group, prophylaxis was prescribed in 97.5% of the patients, with an increase in the indication of dual prophylactic measures (4.7, 6.7 and 41%; P<.05). There were no differences in complications rate associated to the increase in prophylactic measures. CONCLUSIONS: The failure mode and effects analysis allowed us to identify improvements in the prevention of thromboembolic disease in critical patients. We therefore consider that it may be a useful tool for improving patient safety in different processes

Improvement of the safety of a clinical process using failure mode and effects analysis: Prevention of venous thromboembolic disease in critical patients. / Mejora en la seguridad de un proceso clínico utilizando el análisis modal de fallos y efectos: profilaxis de la enfermedad tromboembólica venosa en pacientes críticos.

OBJECTIVE: To improve critical patient safety in the prevention of venous thromboembolic disease, using failure mode and effects analysis as safety tool. DESIGN: A contemporaneous cohort study covering the period January 2014-March 2015 was made in 4 phases: phase 1) prior to failure mode and effects analysis; phase 2) conduction of mode analysis and implementation of the detected improvements; phase 3) evaluation of outcomes, and phase 4) (post-checklist introduction impact. SETTING: Patients admitted to the adult polyvalent ICU of a third-level hospital center. PATIENTS: A total of 196 patients, older than 18 years, without thromboembolic disease upon admission to the ICU and with no prior anticoagulant treatment. INTERVENTIONS: A series of interventions were implemented following mode analysis: training, and introduction of a protocol and checklist to increase preventive measures in relation to thromboembolic disease. VARIABLES OF INTEREST: Indication and prescription of venous thrombosis prevention measures before and after introduction of the measures derived from the failure mode and effects analysis. RESULTS: A total of 59, 97 and 40 patients were included in phase 1, 3 and 4, respectively, with an analysis of the percentage of subjects who received thromboprophylaxis. The failure mode and effects analysis was used to detect potential errors associated to a lack of training and protocols referred to thromboembolic disease. An awareness-enhancing campaign was developed, with staff training and the adoption of a protocol for the prevention of venous thromboembolic disease. The prescription of preventive measures increased in the phase 3 group (91.7 vs. 71.2%, P=.001). In the post-checklist group, prophylaxis was prescribed in 97.5% of the patients, with an increase in the indication of dual prophylactic measures (4.7, 6.7 and 41%; P<.05). There were no differences in complications rate associated to the increase in prophylactic measures. CONCLUSIONS: The failure mode and effects analysis allowed us to identify improvements in the prevention of thromboembolic disease in critical patients. We therefore consider that it may be a useful tool for improving patient safety in different processes.