Valoración de la calidad asistencial al traumatismo grave mediante comparación con estándares internacionales / Evaluation of quality of care in trauma patients using international scoring systems

OBJETIVO: Evaluar la capacidad de los modelos TRISS y PS14 para predecir la probabilidad de supervivencia en nuestro sistema de salud y población. DISEÑO: Desarrollamos un estudio observacional retrospectivo durante un periodo de 66 meses. ÁMBITO: El estudio se llevó a cabo en una UCI especializada en traumatología en un hospital urbano de alta complejidad. PACIENTES: Se incluyeron en el estudio los pacientes mayores de 14 años con traumatismo grave (definido como ISS ≥ 16 y/o RTS < 12). VARIABLES DE INTERÉS: Se calculó el estadístico W (diferencia entre la mortalidad -hospitalaria o a los 30 días para los modelos TRISS o PS14 respectivamente- calculada y observada por cada 100 pacientes) y su nivel de significación para cada modelo. Se realizó un análisis por subgrupos. La calibración y discriminación se evaluaron por medio del test de Hosmer-Lemeshoy y cinturón GiViTI y curvas ROC respectivamente. RESULTADOS: Se incluyeron 1.240 pacientes. La supervivencia global al alta fue de 81,9%. El estadístico W para los modelos TRISS, TRISS2010 y PS14 fue respectivamente +6,72 (p < 0,01), +1,48 (p = 0,08) y +2,74 (p < 0,01). El AUROC para los citados modelos fue respectivamente 0,915, 0,919 y 0,914, sin que se encontraran diferencias significativas entre ellos. Tanto el test de Hosmer-Lemeshow como el cinturón de calibración GiViTI mostraron escasa calibración en los 3 modelos. CONCLUSIONES: Estos modelos son una herramienta adecuada para la evaluación de la calidad asistencial en una UCI de traumatismo. En nuestro centro las tasas de supervivencia fueron mayores de lo predicho por los modelos

OBJECTIVE: To evaluate the ability of the TRISS and PS14 models to predict mortality rates in our medical system and population. DESIGN: A retrospective observational study was carried out over a 66-month period. BACKGROUND: The study was conducted in the Trauma Intensive Care Unit (ICU) of a third level hospital. PATIENTS: All severe trauma patients (Injury Severity Score ≥ 16 and/or Revised Trauma Score < 12) aged > 14 years were included. Variables of interest: Medical care data were prospectively recorded. The "W" statistic (difference between expected and observed mortality for every 100 patients) and its significance were calculated for each model. Discrimination and calibration were evaluated by means of receiver operating characteristic (ROC) curves, and the Hosmer-Lemeshow test and GiViTI calibration belt, respectively. RESULTS: A total of 1240 patients were included. Survival at hospital discharge was 81.9%. The "W" scores for the TRISS, TRISS 2010 and PS14 models were +6.72 (P < .01), +1.48 (P = .08) and +2.74 (P < .01) respectively. Subgroup analysis revealed significant favorable results for some populations. The areas under the ROC curve for the TRISS, TRISS 2010 and PS14 models were 0.915, 0.919 and 0.914, respectively. There were no significant differences among them (P > .05). Both the Hosmer-Lemeshow test and GiViTI calibration belt demonstrated poor calibration for the three models. CONCLUSIONS: These models are suitable tools for assessing quality of care in a Trauma ICU, affording excellent discrimination but poor calibration. In our institution, survival rates higher than expected were observed

Evaluation of quality of care in trauma patients using international scoring systems. / Valoración de la calidad asistencial al traumatismo grave mediante comparación con estándares internacionales.

OBJECTIVE: To evaluate the ability of the TRISS and PS14 models to predict mortality rates in our medical system and population. DESIGN: A retrospective observational study was carried out over a 66-month period. BACKGROUND: The study was conducted in the Trauma Intensive Care Unit (ICU) of a third level hospital. PATIENTS: All severe trauma patients (Injury Severity Score≥16 and/or Revised Trauma Score <12) aged> 14 years were included. VARIABLES OF INTEREST: Medical care data were prospectively recorded. The "W" statistic (difference between expected and observed mortality for every 100 patients) and its significance were calculated for each model. Discrimination and calibration were evaluated by means of receiver operating characteristic (ROC) curves, and the Hosmer-Lemeshow test and GiViTI calibration belt, respectively. RESULTS: A total of 1240 patients were included. Survival at hospital discharge was 81.9%. The "W" scores for the TRISS, TRISS 2010 and PS14 models were+6.72 (P<.01), +1.48 (P=.08) and +2.74 (P<.01) respectively. Subgroup analysis revealed significant favorable results for some populations. The areas under the ROC curve for the TRISS, TRISS 2010 and PS14 models were 0.915, 0.919 and 0.914, respectively. There were no significant differences among them (P>.05). Both the Hosmer-Lemeshow test and GiViTI calibration belt demonstrated poor calibration for the three models. CONCLUSIONS: These models are suitable tools for assessing quality of care in a Trauma ICU, affording excellent discrimination but poor calibration. In our institution, survival rates higher than expected were observed.

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

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Perfil de tromboelastometría rotacional (ROTEM) en una cohorte de asistolia no controlada / Rotational thromboelastometry (ROTEM) profile in a cohort of asystole donors

Introducción: La hipoperfusión juega un papel central en el shock, y es un desencadenante de la coagulopatía. El estudio del perfil ROTEM durante la parada cardíaca prolongada podría ofrecer nuevos conocimientos sobre la fisiopatología de la coagulopatía por shock. Objetivo: Describir el perfil de tromboelastometría rotacional en una cohorte de donantes en asistolia y determinar la incidencia de hiperfibrinólisis. Diseño: Cohortes prospectivo. Incluimos 18 pacientes ingresados tras parada cardíaca extrahospitalaria no recuperada. Se recopiló el primer ritmo cardíaco registrado, los tiempos de parada y los de asistencia. Al ingreso se realizaron test de coagulación convencional y ROTEM (EXTEM, APTEM, FIBTEM) en los 30min tras la obtención de la muestra. Ámbito: El estudio se llevó a cabo en un hospital de tercer nivel incluido en un programa de donación en asistolia. Participantes: Pacientes en parada cardíaca extrahospitalaria no recuperada. Resultados: La mediana de edad fue de 50años y 14 de los participantes eran hombres (77,8%). La mediana de tiempo (rango intercuartílico) desde la parada hasta la obtención de muestras fue de 91min (75-104). Los resultados de la coagulación fueron: INR 1,25 (1,19-1,34), TTPA 55s (45-73) y fibrinógeno 161mg/dl (95-295). Los resultados del ROTEM (APTEM): CT 126s (104-191), CFT 247s (203-694). En 15 (83,3%) se cumplió el criterio de hiperfibrinólisis. También se observó mejoría del MCF en APTEM frente a EXTEM. Tiempos más prolongados se asociaron con niveles inferiores de fibrinógeno y un MCF FIBTEM inferior (p<0,05). Conclusiones: El análisis ROTEM mostró una profunda alteración en la formación del coágulo junto con alta incidencia de hiperfibrinólisis

Background: Hypoperfusion plays a central role in shock states, and has been proposed as a coagulopathy trigger. The study of the rotational thromboelastometry (ROTEM) profile during cardiac arrest could offer new insights to the role of hypoperfusion in coagulation during shock states. Outcome: To describe the ROTEM profile in a cohort of asystole donors and elucidate the incidence of hyperfibrinolysis. Design: A prospective observational study was carried out in 18 patients consecutively admitted to the ICU after out-of-hospital non-recovered cardiac arrest (CA). Initial rhythm and time between CA and admission were recorded. Conventional coagulation and ROTEM (EXTEM, APTEM, FIBTEM) tests were performed within 30minutes after blood sample collection. Scope: An asystole donor reference hospital. Participants: Patients admitted to the ICU after out-of-hospital non-recovered CA. Results: The median age was 50years, and 14 of the patients were men (77.8%). The time from CA to hospital admission expressed as the median (interquartile range) was 91minutes (75-104). The results of the routine tests were: INR 1.25 (1.19-1.34), aPTT 55s (45-73) and fibrinogen 161mg/dl (95-295). For the ROTEM APTEM assay the results were: CT 126s (104-191), CFT 247s (203-694). Hyperfibrinolysis criteria were recorded in 15 patients (83.3%). In addition, MCF improved in APTEM versus EXTEM. Prolonged CA times were associated to lower fibrinogen levels and lower values for MCF FIBTEM (P<.05). Conclusions: The ROTEM assays revealed severe alterations of the clot formation parameters and a high incidence of hyperfibrinolysis

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.

Rotational thromboelastometry (ROTEM) profile in a cohort of asystole donors. / Perfil de tromboelastometría rotacional (ROTEM) en una cohorte de asistolia no controlada.

BACKGROUND: Hypoperfusion plays a central role in shock states, and has been proposed as a coagulopathy trigger. The study of the rotational thromboelastometry (ROTEM) profile during cardiac arrest could offer new insights to the role of hypoperfusion in coagulation during shock states. OUTCOME: To describe the ROTEM profile in a cohort of asystole donors and elucidate the incidence of hyperfibrinolysis. DESIGN: A prospective observational study was carried out in 18 patients consecutively admitted to the ICU after out-of-hospital non-recovered cardiac arrest (CA). Initial rhythm and time between CA and admission were recorded. Conventional coagulation and ROTEM (EXTEM, APTEM, FIBTEM) tests were performed within 30minutes after blood sample collection. SCOPE: An asystole donor reference hospital. PARTICIPANTS: Patients admitted to the ICU after out-of-hospital non-recovered CA. RESULTS: The median age was 50years, and 14 of the patients were men (77.8%). The time from CA to hospital admission expressed as the median (interquartile range) was 91minutes (75-104). The results of the routine tests were: INR 1.25 (1.19-1.34), aPTT 55s (45-73) and fibrinogen 161mg/dl (95-295). For the ROTEM APTEM assay the results were: CT 126s (104-191), CFT 247s (203-694). Hyperfibrinolysis criteria were recorded in 15 patients (83.3%). In addition, MCF improved in APTEM versus EXTEM. Prolonged CA times were associated to lower fibrinogen levels and lower values for MCF FIBTEM (P<.05). CONCLUSIONS: The ROTEM assays revealed severe alterations of the clot formation parameters and a high incidence of hyperfibrinolysis.

Predicción de hemorragia masiva. Índice de shock e índice de shock modificado / Prediction of massive bleeding. Shock index and modified shock index

Objetivo: Determinar la capacidad de predicción del índice de shock y del índice de shock modificado para hemorragia masiva tras sufrir un trauma grave. Diseño: Cohorte retrospectiva. Ámbito: Atención inicial hospitalaria al paciente con enfermedad traumática grave en una unidad de cuidados intensivos de trauma de un hospital terciario. Sujetos: Pacientes mayores de 14 años con trauma grave (injury severity score [ISS] >15), admitidos de forma consecutiva desde enero de 2014 hasta diciembre de 2015. Variables: Se estudiaron sensibilidad (Se), especificidad (Sp), valores predictivos positivo y negativo (VP+ y VP-), razones de verosimilitud positiva y negativa (RV+ y RV-), curvas ROC (receiver operating characteristics) y el área bajo las mismas (AUROC) para predicción de hemorragia masiva. Resultados: Se incluyeron 287 pacientes, el 76,31% (219) fueron varones, con una edad media de 43,36 (±17,71) e ISS de 26 (rango intercuartil [RIC]: 21-34). La frecuencia global de hemorragia masiva fue de 8,71% (25). Para el índice de shock se obtuvo: AUROC de 0,89 (intervalo de confianza [IC] 95%: 0,84-0,94), con un punto de corte óptimo en 1,11, Se del 91,3% (IC 95%: 73,2-97,58) y Sp del 79,69% (IC 95%: 74,34-84,16). Para el índice de shock modificado se obtuvo: AUROC de 0,90 (IC 95%: 0,86-0,95), con un punto de corte óptimo en 1,46, Se del 95,65% (IC 95%: 79,01-99,23) y Sp del 75,78% (IC 95%: 70,18-80,62). Conclusiones: El índice de shock y el índice de shock modificado son buenos predictores de hemorragia masiva y de fácil aplicación durante la atención inicial del trauma grave (AU)

Objective: To determine the predictive value of the Shock Index and Modified Shock Index in patients with massive bleeding due to severe trauma. Design: Retrospective cohort. Setting: Severe trauma patient's initial attention at the intensive care unit of a tertiary hospital. Subjects: Patients older than 14 years that were admitted to the hospital with severe trauma (Injury Severity Score >15) form January 2014 to December 2015. Variables: We studied the sensitivity (Se), specificity (Sp), positive and negative predictive value (PV+ and PV-), positive and negative likelihood ratio (LR+ and LR-), ROC curves (Receiver Operating Characteristics) and the area under the same (AUROC) for prediction of massive hemorrhage. Results: 287 patients were included, 76.31% (219) were male, mean age was 43,36 (±17.71) years and ISS was 26 (interquartile range [IQR]: 21-34). The overall frequency of massive bleeding was 8.71% (25). For Shock Index: AUROC was 0.89 (95% confidence intervals [CI] 0.84 to 0.94), with an optimal cutoff at 1.11, Se was 91.3% (95% CI: 73.2 to 97.58) and Sp was 79.69% (95% CI: 74.34 to 84.16). For the Modified Shock Index: AUROC was 0.90 (95% CI: 0.86 to 0.95), with an optimal cutoff at 1.46, Se was 95.65% (95% CI: 79.01 to 99.23) and Sp was 75.78% (95% CI: 70.18 to 80.62). Conclusion: Shock Index and Modified Shock Index are good predictors of massive bleeding and could be easily incorporated to the initial workup of patients with severe trauma (AU)

Hemólisis y transfusión de concentrados de hematíes «viejos» en pacientes críticos / Hemolysis and transfusion of old packed red blood cells in critical patients

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Prediction of massive bleeding. Shock index and modified shock index. / Predicción de hemorragia masiva. Índice de shock e índice de shock modificado.

OBJECTIVE: To determine the predictive value of the Shock Index and Modified Shock Index in patients with massive bleeding due to severe trauma. DESIGN: Retrospective cohort. SETTING: Severe trauma patient's initial attention at the intensive care unit of a tertiary hospital. SUBJECTS: Patients older than 14 years that were admitted to the hospital with severe trauma (Injury Severity Score >15) form January 2014 to December 2015. VARIABLES: We studied the sensitivity (Se), specificity (Sp), positive and negative predictive value (PV+ and PV-), positive and negative likelihood ratio (LR+ and LR-), ROC curves (Receiver Operating Characteristics) and the area under the same (AUROC) for prediction of massive hemorrhage. RESULTS: 287 patients were included, 76.31% (219) were male, mean age was 43,36 (±17.71) years and ISS was 26 (interquartile range [IQR]: 21-34). The overall frequency of massive bleeding was 8.71% (25). For Shock Index: AUROC was 0.89 (95% confidence intervals [CI] 0.84 to 0.94), with an optimal cutoff at 1.11, Se was 91.3% (95% CI: 73.2 to 97.58) and Sp was 79.69% (95% CI: 74.34 to 84.16). For the Modified Shock Index: AUROC was 0.90 (95% CI: 0.86 to 0.95), with an optimal cutoff at 1.46, Se was 95.65% (95% CI: 79.01 to 99.23) and Sp was 75.78% (95% CI: 70.18 to 80.62). CONCLUSION: Shock Index and Modified Shock Index are good predictors of massive bleeding and could be easily incorporated to the initial workup of patients with severe trauma.

Hemólisis tras la transfusión de concentrados de hematíes en pacientes con trauma grave / Hemolysis following red cell concentrate transfusion in severe trauma patients

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Epidemiología del trauma grave en España. Registro de Trauma en UCI (RETRAUCI). Fase piloto / Epidemiology of severe trauma in Spain. Registry of trauma in the ICU (RETRAUCI). Pilot phase

OBJETIVO: Describir las características de la enfermedad traumática grave (ETG) y su atención en las unidades de cuidados intensivos (UCI) españolas. DISEÑO: Registro multicéntrico y prospectivo. Ámbito: Trece UCI españolas. PACIENTES: Pacientes con ETG ingresados en UCI participantes. INTERVENCIONES: Ninguna. Variables de interés principales: Aspectos epidemiológicos, atención prehospitalaria, registro de lesiones, consumo de recursos, complicaciones y evolución final. RESULTADOS: Se incluyó a 2.242 pacientes con 47,1±19,02 años de edad media, 79% hombres. Fue trauma contuso en 93,9%. El Injury Severity Score fue de 22,2±12,1 y el Revised Trauma Score de 6,7±1,6. Fue no intencionado en el 84,4%. Las causas más frecuentes fueron accidentes de tráfico, caídas y precipitaciones. Un 12,4% tomaban antiagregantes o anticoagulantes y en casi un 28% se implicó el consumo de tóxicos. Un 31,5% precisaron una vía aérea artificial en medio prehospitalario. El tiempo medio hasta el ingreso en UCI fue de 4,7±5,3 h. Al ingreso en UCI un 68,5% se encontraba estable hemodinámicamente. Predominó el traumatismo craneal y torácico. Hubo un importante número de complicaciones y en el 69,5% de los casos necesidad de ventilación mecánica (media 8,2±9,9 días). De ellos, un 24,9% precisaron traqueotomía. Las estancias en UCI y hospitalarias fueron respectivamente de mediana 5 (3-13) días y 9 (5-19) días. La mortalidad en UCI fue del 12,3% y la hospitalaria del 16%. CONCLUSIONES: La fase piloto del RETRAUCI muestra una imagen inicial de la epidemiología y atención del paciente con ETG ingresado en las UCI de nuestro país

OBJECTIVE: To describe the characteristics and management of severe trauma disease in Spanish Intensive Care Units (ICUs). Registry of trauma in the ICU (RETRAUCI). Pilot phase. DESIGN: A prospective, multicenter registry. SETTING: Thirteen Spanish ICUs. PATIENTS: Patients with trauma disease admitted to the ICU. INTERVENTIONS: None. Main variables of interest: Epidemiology, out-of-hospital attention, registry of injuries, resources utilization, complications and outcome were evaluated. RESULTS: Patients, n=2242. Mean age 47.1±19.02 years. Males 79%. Blunt trauma 93.9%. Injury Severity Score 22.2±12.1, Revised Trauma Score 6.7±1.6. Non-intentional in 84.4% of the cases. The most common causes of trauma were traffic accidents followed by pedestrian and high-energy falls. Up to 12.4% were taking antiplatelet medication or anticoagulants. Almost 28% had a suspected or confirmed toxic influence in trauma. Up to 31.5% required an out-of-hospital artificial airway. The time from trauma to ICU admission was 4.7±5.3hours. At ICU admission, 68.5% were hemodynamically stable. Brain and chest injuries predominated. A large number of complications were documented. Mechanical ventilation was used in 69.5% of the patients (mean 8.2±9.9 days), of which 24.9% finally required a tracheostomy. The median duration of stay in the ICU and in hospital was 5 (range 3-13) and 9 (5-19) days, respectively. The ICU mortality rate was 12.3%, while the in-hospital mortality rate was 16.0%. CONCLUSIONS: The pilot phase of the RETRAUCI offers a first impression of the epidemiology and management of trauma disease in Spanish ICUs

Seudoaneurisma proximal de la arteria innominada de origen traumático / Post-trauma pseudoaneurysm of the proximal innominate artery

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Epidemiology of severe trauma in Spain. Registry of trauma in the ICU (RETRAUCI). Pilot phase. / Epidemiología del trauma grave en España. REgistro de TRAuma en UCI (RETRAUCI). Fase piloto.

OBJECTIVE: To describe the characteristics and management of severe trauma disease in Spanish Intensive Care Units (ICUs). Registry of trauma in the ICU (RETRAUCI). Pilot phase. DESIGN: A prospective, multicenter registry. SETTING: Thirteen Spanish ICUs. PATIENTS: Patients with trauma disease admitted to the ICU. INTERVENTIONS: None. MAIN VARIABLES OF INTEREST: Epidemiology, out-of-hospital attention, registry of injuries, resources utilization, complications and outcome were evaluated. RESULTS: Patients, n=2242. Mean age 47.1±19.02 years. Males 79%. Blunt trauma 93.9%. Injury Severity Score 22.2±12.1, Revised Trauma Score 6.7±1.6. Non-intentional in 84.4% of the cases. The most common causes of trauma were traffic accidents followed by pedestrian and high-energy falls. Up to 12.4% were taking antiplatelet medication or anticoagulants. Almost 28% had a suspected or confirmed toxic influence in trauma. Up to 31.5% required an out-of-hospital artificial airway. The time from trauma to ICU admission was 4.7±5.3hours. At ICU admission, 68.5% were hemodynamically stable. Brain and chest injuries predominated. A large number of complications were documented. Mechanical ventilation was used in 69.5% of the patients (mean 8.2±9.9 days), of which 24.9% finally required a tracheostomy. The median duration of stay in the ICU and in hospital was 5 (range 3-13) and 9 (5-19) days, respectively. The ICU mortality rate was 12.3%, while the in-hospital mortality rate was 16.0%. CONCLUSIONS: The pilot phase of the RETRAUCI offers a first impression of the epidemiology and management of trauma disease in Spanish ICUs.