Incidence, treatment, and factors associated with survival of out-of-hospital cardiac arrest attended by Spanish emergency services: report from the Out-of-Hospital Spanish Cardiac Arrest Registry for 2022. / Incidencia, tratamiento y factores asociados con la supervivencia de la parada cardiaca extrahospitalaria atendida por los servicios de emergencias en España: informe 2022 del registro OHSCAR.

SUMMARY: Out-of-hospital cardiac arrest is a serious public health problem worldwide. The annual incidence is estimated at around 400 000 cases in Europe and the United States, and survival rates scarcely reach 10%. However, there is considerable variation between countries and even between regions that share a similar health care system within a single country. Information recorded by the Out-of-Hospital Spanish Cardiac Arrest Registry (OHSCAR) provides information on care provided by emergency ambulance services, final health outcomes after cardiac arrest cases (including variations), the possibility of organ donation, and the impact of the COVID-19 pandemic. This paper presents the OHSCAR report for Spanish emergency services for the year 2022.

RESUMEN: La parada cardiorrespiratoria extrahospitalaria (PCREH) es un grave problema de salud pública mundial, con una incidencia anual estimada entorno a entorno a los 350.000 y 400.000 casos de PCERH en Europa y Estados Unidos, respectivamente. La supervivencia final se sitúa en porcentajes que apenas alcanzan el 10%, aunque existe una importante variabilidad entre países e incluso entre regiones del mismo país con modelos de atención similares. En España, el Registro Español de Parada Cardiaca Extrahospitalaria (acrónimo OHSCAR) ha ofrecido información sobre la asistencia a la PCRE prestada por los servicios de emergencias (SEM) y sus resultados finales en salud, así como sobre variabilidad, posibilidades de programas de donación o impacto de la pandemia COVID-19. A continuación se presenta el informe OHSCAR correspondiente a la asistencia a la PCRE por los SEM españoles durante el año 2022.

Study of risk factors for injuries due to cardiopulmonary resuscitation with special focus on the role of the heart: A machine learning analysis of a prospective registry with multiple sources of information (ReCaPTa Study).

Background: The study of thoracic injuries and biomechanics during CPR requires detailed studies that are very scarce. The role of the heart in CPR biomechanics has not been determined. This study aimed to determine the risk factors importance for serious ribcage damage due to CPR. Methods: Data were collected from a prospective registry of out-of-hospital cardiac arrest between April 2014 and April 2017. This study included consecutive out-of-hospital CPR attempts undergoing an autopsy study focused on CPR injuries. Cardiac mass ratio was defined as the ratio of real to expected heart mass. Pearson's correlation coefficient was used to select clinically relevant variables and subsequently classification tree models were built. The Gini index was used to determine the importance of the associated serious ribcage damage factors. The LUCAS® chest compressions device forces and the cardiac mass were analyzed by linear regression. Results: Two hundred CPR attempts were included (133 manual CPR and 67 mechanical CPR). The mean age of the sample was 60.4 ± 13.5, and 56 (28%) were women. In all, 65.0% of the patients presented serious ribcage damage. From the classification tree build with the clinically relevant variables, age (0.44), cardiac mass ratio (0.26), CPR time (0.22), and mechanical CPR (0.07), in that order, were the most influential factors on serious ribcage damage. The chest compression forces were greater in subjects with higher cardiac mass. Conclusions: The heart plays a key role in CPR biomechanics being cardiac mass ratio the second most important risk factor for CPR injuries.

Ongoing CPR with an onboard physician.

Introduction: Recent data are not available on ongoing CPR for emergency services with an onboard physician. The aim of the present study was to identify factors associated with the decision to transport patients to hospital with ongoing CPR and examine their survival to hospital discharge with good neurological status. Methods: An observational study based on a registry of out-of-hospital cardiac arrests attended to by emergency services with an onboard physician. All OHCA cases occurring between the 1st of January and the 31st of December 2022 were included. Patients receiving ongoing CPR during transport to the hospital were compared with patients pronounced dead at the scene following arrival of the care team. The dependent variable was ongoing CPR during transport to the hospital. The main characteristics and the neurological status of patients surviving to discharge were described. Results: A total of 9321 cases were included, of which 350 (3.7%) were transported to hospital with ongoing CPR. Such patients were young (59.9 ± 20.1 years vs 64.6 ± 16.9 years; p < 0.001; 95%CI: 0.98 [0.98; 0.99]) with arrest taking place outside of the home (151 [44.5%] vs 4045 [68.01%]; p < 0.001; 95%CI: 0.41 [0.31; 0.54]) and being witnessed by EMS (126 [36.0%] vs 667 [11.0%]; p < 0.001; 95%CI: 4.31 [3.19; 5.80]), whilst initial rhythm differed from asystole (164 [47.6%] vs 4325 [73.0%]; p < 0.01; 95%CI: 0.44 [0.33; 0.60]) and a mechanical device was more often employed during resuscitation and transport to hospital (199 [56.9%] vs 2050 [33.8%]; p < 0.001; 95%CI: 2.75 [2.10; 3.59]). Seven patients (2%) were discharged alive from hospital, five with ad integrum neurological recovery (CPC1) and two with minimally impaired neurological function (CPC2). Conclusions: The strategy of ongoing CPR is uncommon in EMS with an onboard physician. Despite their limited efficacy, the availability of mechanical chest compression devices, together with the possibility of specific hospital treatments, mainly ICP and ECMO, opens up the possibility of this approach with determined patients.

Out-of-Hospital Cardiac Arrest Following the COVID-19 Pandemic.

Importance: Out-of-hospital cardiac arrest (OHCA) health care provision may be a good indicator of the recovery of the health care system involved in OHCA care following the COVID-19 pandemic. There is a lack of data regarding outcomes capable of verifying this recovery. Objective: To determine whether return to spontaneous circulation, overall survival, and survival with good neurological outcome increased in patients with OHCA since the COVID-19 pandemic was brought under control in 2022 compared with prepandemic and pandemic levels. Design, Setting, and Participants: This observational cohort study was conducted to examine health care response and survival with good neurological outcome at hospital discharge in patients treated following OHCA. A 3-month period, including the first wave of the pandemic (February 1 to April 30, 2020), was compared with 2 periods before (April 1, 2017, to March 31, 2018) and after (January 1 to December 31, 2022) the pandemic. Data analysis was performed in July 2023. Emergency medical services (EMS) serving a population of more than 28 million inhabitants across 10 Spanish regions participated. Patients with OHCA were included if participating EMS initiated resuscitation or continued resuscitation initiated by a first responder. Exposure: The pandemic was considered to be under control following the official declaration that infection with SARS-CoV-2 was to be considered another acute respiratory infection. Main Outcome and Measures: The main outcomes were return of spontaneous circulation, overall survival, and survival at hospital discharge with good neurological outcome, expressed as unimpaired or minimally impaired cerebral performance. Results: A total of 14 732 patients (mean [SD] age, 64.2 [17.2] years; 10 451 [71.2%] male) were included, with 6372 OHCAs occurring during the prepandemic period, 1409 OHCAs during the pandemic period, and 6951 OHCAs during the postpandemic period. There was a higher incidence of OHCAs with a resuscitation attempt in the postpandemic period compared with the pandemic period (rate ratio, 4.93; 95% CI, 4.66-5.22; P < .001), with lower incidence of futile resuscitation for OHCAs (2.1 per 100 000 person-years vs 1.3 per 100 000 person-years; rate ratio, 0.81; 95% CI, 0.71-0.92; P < .001). Recovery of spontaneous circulation at hospital admission increased from 20.5% in the pandemic period to 30.5% in the postpandemic period (relative risk [RR], 1.08; 95% CI, 1.06-1.10; P < .001). In the same way, overall survival at discharge increased from 7.6% to 11.2% (RR, 1.45; 95% CI, 1.21-1.75; P < .001), with 6.6% of patients being discharged with good neurological status (Cerebral Performance Category Scale categories 1-2) in the pandemic period compared with 9.6% of patients in the postpandemic period (RR, 1.07; 95% CI, 1.04-1.10; P < .001). Conclusions and Relevance: In this cohort study, survival with good neurological outcome at hospital discharge following OHCA increased significantly after the COVID-19 pandemic.

Prehospital care process and hospital outcomes in stroke-code cases: comparison of basic and advance life support ambulance attendance. / Proceso de atención prehospitalaria y resultados hospitalarios del código ictus: estudio comparativo entre unidades de soporte vital básico y avanzado.

OBJECTIVES: To study prehospital care process in relation to hospital outcomes in stroke-code cases first attended by 2 different levels of ambulance. To analyze factors associated with a satisfactory functional outcome at 3 months. MATERIAL AND METHODS: Prospective multicenter observational cohort study. All stroke-code cases attended by prehospital emergency services from January 2016 to April 2022 were included. Prehospital and hospital variables were collected. The classificatory variable was type of ambulance attending (basic vs advanced life support). The main outcome variables were mortality and functional status after ischemic strokes in patients who underwent reperfusion treatment 90 days after the ischemic episode. RESULTS: Out of 22 968 stroke-code activations, ischemic stroke was diagnosed in 12 467 patients (54.3%) whose functional status was good before the episode. Basic ambulances attended 93.1%; an advanced ambulance was ordered in 1.6% of the patients. Even though there were differences in patient and clinical characteristics recorded during the prehospital process, type of ambulance was not independently associated with mortality (adjusted odds ratio [aOR], 1.1; 95% CI, 0.77-1.59) or functional status at 3 months (aOR, 1.05; 95% CI, 0,72-1,47). CONCLUSION: The percentage of patient complications in stroke-code cases attended by basic ambulance teams is low. Type of ambulance responding was not associated with either mortality or functional outcome at 3 months in this study.

OBJETIVO: Comparar el proceso asistencial prehospitalario y los resultados hospitalarios de los pacientes categorizados como Código Ictus (CI) en función del tipo de ambulancia que realiza la primera valoración, y analizar los factores asociados con un buen resultado funcional y la mortalidad a los 3 meses. METODO: Estudio observacional de cohortes prospectivo multicéntrico. Incluyó todos los CI atendidos por un sistema de emergencias prehospitalario desde enero del 2016 a abril del 2022. Se recogieron variables prehospitalarias y hospitalarias. La variable de clasificación fue el tipo de ambulancia que asiste el CI: unidad de soporte vital básico (USVB) o avanzado (USVA). Las variables de resultado principal fueron la mortalidad y el estado funcional de los ictus isquémicos sometidos a tratamiento de reperfusión a los 90 días del episodio. RESULTADOS: Se incluyeron 22.968 pacientes, de los cuales 12.467 (54,3%) presentaron un ictus isquémico con un buen estado funcional previo. El 93,1% fueron asistidos por USVB y se solicitó una USVA en el 1,6% de los casos. A pesar de presentar diferencias en el perfil clínico del paciente atendido y en los tiempos del proceso CI prehospitalario, el tipo de unidad no mostró una asociación independiente con la mortalidad (OR ajustada 1,1; IC 95%: 0,77- 1,59) ni con el estado funcional a los 3 meses (OR ajustada 1,05; IC 95%: 0,72-1,47). CONCLUSIONES: El porcentaje de complicaciones de los pacientes con CI atendidos por USVB es bajo. El tipo de unidad que asistió al paciente inicialmente no se asoció ni con el resultado funcional ni con la mortalidad a los 3 meses.

Proceso de atención prehospitalaria y resultados hospitalarios del código ictus: estudio comparativo entre unidades de soporte vital básico y avanzado / Prehospital care process and hospital outcomes in stroke-code cases: comparison of basic and advance life support ambulance attendance

Objetivos: Comparar el proceso asistencial prehospitalario y los resultados hospitalarios de los pacientes categorizados como Código Ictus (CI) en función del tipo de ambulancia que realiza la primera valoración, y analizar los factores asociados con un buen resultado funcional y la mortalidad a los 3 meses. Método: Estudio observacional de cohortes prospectivo multicéntrico. Incluyó todos los CI atendidos por un sistema de emergencias prehospitalario desde enero del 2016 a abril del 2022. Se recogieron variables prehospitalarias y hospitalarias. La variable de clasificación fue el tipo de ambulancia que asiste el CI: unidad de soporte vital básico (USVB) o avanzado (USVA). Las variables de resultado principal fueron la mortalidad y el estado funcional de los ictus isquémicos sometidos a tratamiento de reperfusión a los 90 días del episodio. Resultados: Se incluyeron 22.968 pacientes, de los cuales 12.467 (54,3%) presentaron un ictus isquémico con un buen estado funcional previo. El 93,1% fueron asistidos por USVB y se solicitó una USVA en el 1,6% de los casos. A pesar de presentar diferencias en el perfil clínico del paciente atendido y en los tiempos del proceso CI prehospitalario, el tipo de unidad no mostró una asociación independiente con la mortalidad (OR ajustada 1,1; IC 95%: 0,77-1,59) ni con el estado funcional a los 3 meses (OR ajustada 1,05; IC 95%: 0,72-1,47). Conclusiones: El porcentaje de complicaciones de los pacientes con CI atendidos por USVB es bajo. El tipo de unidad que asistió al paciente inicialmente no se asoció ni con el resultado funcional ni con la mortalidad a los 3 meses. (AU)

Objectives: To study prehospital care process in relation to hospital outcomes in stroke-code cases first attended by 2 different levels of ambulance. To analyze factors associated with a satisfactory functional outcome at 3 months. Methods: Prospective multicenter observational cohort study. All stroke-code cases attended by prehospital emergency services from January 2016 to April 2022 were included. Prehospital and hospital variables were collected. The classificatory variable was type of ambulance attending (basic vs advanced life support). The main outcome variables were mortality and functional status after ischemic strokes in patients who underwent reperfusion treatment 90 days after the ischemic episode. Results: Out of 22 968 stroke-code activations, ischemic stroke was diagnosed in 12 467 patients (54.3%) whose functional status was good before the episode. Basic ambulances attended 93.1%; an advanced ambulance was ordered in 1.6% of the patients. Even though there were differences in patient and clinical characteristics recorded during the prehospital process, type of ambulance was not independently associated with mortality (adjusted odds ratio [aOR], 1.1; 95% CI, 0.77-1.59) or functional status at 3 months (aOR, 1.05; 95% CI, 0,72-1,47). Conclusions: The percentage of patient complications in stroke-code cases attended by basic ambulance teams is low. Type of ambulance responding was not associated with either mortality or functional outcome at 3 months in this study. (AU)

Prehospital stratification and prioritisation of non-ST-segment elevation acute coronary syndrome patients (NSTEACS): the MARIACHI scale.

OBJECTIVE: The objective of this study was to develop and validate a risk scale (MARIACHI) for patients classified as non-ST-segment elevation acute coronary syndrome (NSTEACS) in a prehospital setting with the ability to identify patients at an increased risk of mortality at an early stage. METHODS: A retrospective observational study conducted in Catalonia over two periods: 2015-2017 (development and internal validation cohort) and Aug 2018-Jan 2019 (external validation cohort). We included patients classified as prehospital NSTEACS, assisted by an advanced life support unit and requiring hospital admission. The primary outcome was in-hospital mortality. Cohorts were compared using logistic regression and a predictive model was created using bootstrapping techniques. RESULTS: The development and internal validation cohort included 519 patients. The model is composed of five variables associated with hospital mortality: age, systolic blood pressure, heart rate > 95 bpm, Killip-Kimball III-IV and ST depression ≥ 0.5 mm. The model showed good overall performance (Brier = 0.043) and consistency in discrimination (AUC 0.88, 95% CI 0.83-0.92) and calibration (slope = 0.91; 95% CI 0.89-0.93). We included 1316 patients for the external validation sample. There was no difference in discrimination (AUC 0.83, 95% CI 0.78-0.87; DeLong Test p = 0.071), but there was in calibration (p < 0.001), so it was recalibrated. The finally model obtained was stratified and scored into three groups according to the predicted risk of patient in-hospital mortality: low risk: < 1% (-8 to 0 points), moderate risk: 1-5% (+ 1 to + 5 points) and high risk: > 5% (6-12 points). CONCLUSION: The MARIACHI scale showed correct discrimination and calibration to predict high-risk NSTEACS. Identification of high-risk patients may help with treatment and low referral decisions at the prehospital level.

The effect of thoracic dimensions on compression depth during cardiopulmonary resuscitation.

The effect of the dimensions of the thoracic cage on the resuscitation outcome of cardiopulmonary resuscitation (CPR) maneuvers has long been debated. In this study, the effect of changes in the rib cage dimensions on the achieved compression depth was investigated using finite element simulations. A total of 216 different rib cage geometry models were considered and, in each case, the result of applying different levels of compression force up to 600 N were simulated. The Haller Index of the rib cage is defined as the ratio of the transverse diameter and the antero-posterior diameter. Our results suggest that, with a fixed level of compression force, performing CPR on rib cages having a low Haller Index and/or a larger height leads to compression depths below the average. Alternatively, if a target compression depth is set for CPR, in general a lower compression force would be required for individuals with higher Haller Index and/or lower chest height. In addition, present results indicate that wider chested individuals will experience lower stress levels on their ribs to achieve the required CPR target depth. Moreover, in the present study we propose predictive models, based on anthropometric parameters, for compression depth and rib stress during chest compressions. In particular, the model suggests that in future correlations of empirical CPR data the patients' Haller index and vertical (sagittal) cross-area are the best parameters to be used as independent variables in a fit.

A machine learning COVID-19 mass screening based on symptoms and a simple olfactory test.

The early detection of symptoms and rapid testing are the basis of an efficient screening strategy to control COVID-19 transmission. The olfactory dysfunction is one of the most prevalent symptom and in many cases is the first symptom. This study aims to develop a machine learning COVID-19 predictive tool based on symptoms and a simple olfactory test, which consists of identifying the smell of an aromatized hydroalcoholic gel. A multi-centre population-based prospective study was carried out in the city of Reus (Catalonia, Spain). The study included consecutive patients undergoing a reverse transcriptase polymerase chain reaction test for presenting symptoms suggestive of COVID-19 or for being close contacts of a confirmed COVID-19 case. A total of 519 patients were included, 386 (74.4%) had at least one symptom and 133 (25.6%) were asymptomatic. A classification tree model including sex, age, relevant symptoms and the olfactory test results obtained a sensitivity of 0.97 (95% CI 0.91-0.99), a specificity of 0.39 (95% CI 0.34-0.44) and an AUC of 0.87 (95% CI 0.83-0.92). This shows that this machine learning predictive model is a promising mass screening for COVID-19.

Chest wall mechanics during mechanical chest compression and its relationship to CPR-related injuries and survival.

Aim: To determine compression force variation (CFV) during mechanical cardiopulmonary resuscitation (CPR) and its relationship with CPR-related injuries and survival. Methods: Adult non-traumatic OHCA patients who had been treated with mechanical CPR were evaluated for CPR-related injuries using chest X-rays, thoracic computed tomography or autopsy. The CFV exerted by the LUCAS 2 device was calculated as the difference between the maximum and the minimum force values and was categorised into three different groups (high positive CFV ≥ 95 newton (N), high negative CFV ≤ -95 N, and low variation for intermediate CFV). The CFV was correlated with the CPR injuries findings and survival data. Results: Fifty-two patients were included. The median (IQR) age was 57 (49-66) years, and 13 (25%) cases survived until hospital admission. High positive CFV was found in 21 (40.4%) patients, high negative CFV in 9 (17.3%) and a low CFV in 22 (42.3%). The median (IQR) number of rib fractures was higher in the high positive and negative CFV groups compared with the low CFV group [7(1-9) and 9 (4-11) vs 0 (0-6) (p = 0.021)]. More bilateral fracture cases were found in the high positive and negative CFV groups [16 (76.2%) and 6 (66.7%) vs 6 (27.3%) (p = 0.004)]. In the younger half of the sample more patients survived until hospital admission in the low CFV group compared with the high CFV groups [5 (41.7%) vs 1 (7.1%) (p = 0.037)]. Conclusions: High CFV was associated with ribcage injuries. In the younger patients low CFV was associated with survival until hospital admission.

Effect of a prioritization score on the inter-hospital transfer time management of severe COVID-19 patients: a quasi-experimental intervention study.

BACKGROUND: The overburdening of the healthcare system during the coronavirus disease 19 (COVID-19) pandemic is driving the need to create new tools to improve the management of inter-hospital transport for patients with a severe COVID-19 infection. OBJECTIVE: The aim of this study was to analyse the usefulness of the application of a prioritization score (IHTCOVID-19) for inter-hospital transfer of patients with COVID-19 infection. METHODS: The study has a quasi-experimental design and was conducted on the Medical Emergency System, the pre-hospital emergency department of the public company belonging to the Autonomous Government of Catalonia that manages urgent healthcare in the region. Patients with a severe COVID-19 infection requiring inter-hospital transport were consecutively included. The pre-intervention period was from 1 to 31 March 2020, and the intervention period with the IHTCOVID-19 score was from 1 to 30 April 2020 (from 8 am to 8 pm). The prioritization score comprises four priority categories, with Priority 0 being the highest and Priority 3 being the lowest. Inter-hospital transfer (IHT) management times (alert-assignment time, resource management time and total central management time) and their variability were evaluated according to whether or not the IHTCOVID-19 score was applied. RESULTS: A total of 344 IHTs were included: 189 (54.9%) in the pre-intervention period and 155 (45.1%) in the post-intervention period. The majority of patients were male and the most frequent age range was between 50 and 70 years. According to the IHTCOVID-19 score, 12 (3.5%) transfers were classified as Priority 0, 66 (19.4%) as Priority 1, 247 (71.8%) as Priority 2 and 19 (5.6%) as Priority 3. Overall, with the application of the IHTCOVID-19 score, there was a significant reduction in total central management time [from 112.4 (inter-quartile range (IQR) 281.3) to 89.8 min (IQR 154.9); P = 0.012]. This significant reduction was observed in Priority 0 patients [286.2 (IQR 218.5) to 42.0 min (IQR 58); P = 0.018] and Priority 1 patients [130.3 (IQR 297.3) to 75.4 min (IQR 91.1); P = 0.034]. After applying the IHTCOVID-19 score, the average time of the process decreased by 22.6 min, and variability was reduced from 618.1 to 324.0 min. CONCLUSION: The application of the IHTCOVID-19 score in patients with a severe COVID-19 infection reduces IHT management times and variability.

Priority in interhospital transfers of patients with severe COVID-19: development and prospective validation of a triage tool. / Desarrollo y validación prospectiva de la escala TIHCOVID: una herramienta de triaje y priorización del traslado interhospitalario de pacientes COVID-19 graves.

OBJECTIVES: To develop and validate a triage scale (Spanish acronym, TIHCOVID) to assign priority by predicting critical events in patients with severe COVID-19 who are candidates for interhospital transfer. MATERIAL AND METHODS: Prospective cohort study in 2 periods for internal (February-April 2020) and external (October-December 2020) validation. We included consecutive patients with severe COVID-19 who were transported by the emergency medical service of Catalonia. A risk model was developed to predict mortality based on variables recorded on first contact between the regional emergency coordination center and the transferring hospital. The model's performance was evaluated by means of calibration and discrimination, and the results for the first and second periods were compared. RESULTS: Nine hundred patients were included, 450 in each period. In-hospital mortality was 33.8%. The 7 predictors included in the final model were age, comorbidity, need for prone positioning, renal insufficiency, use of high-flow nasal oxygen prior to mechanical ventilation, and a ratio of PaO2 to inspired oxygen fraction of less than 50. The performance of the model was good (Brier score, 0.172), and calibration and discrimination were consistent. We found no significant differences between the internal and external validation steps with respect to either the calibration slopes (0.92 [95% CI, 0.91-0.93] vs 1.12 [95% CI, 0.6-1.17], respectively; P = .150) or discrimination (area under the curve, 0.81 [95% CI, 0.75-0.84] vs 0.85 [95% CI, 0.81-0.89]; P = .121). CONCLUSION: The TIHCOVID tool may be useful for triage when assigning priority for patients with severe COVID-19 who require transfer between hospitals.

OBJETIVO: Desarrollar y validar una escala predictiva de eventos críticos en pacientes con infección grave por COVID-19 candidatos a traslado interhospitalario (TIH) que facilite el triaje y la priorización del transporte sanitario. METODO: Estudio de cohortes prospectivo divido en dos periodos: validación interna (febrero-abril 2020) y validación externa (octubre-diciembre 2020). Se incluyeron consecutivamente los pacientes con infección grave por COVID-19 trasladados por el Sistema de Emergencias Médicas de Cataluña. Se construyó un modelo predictivo de las variables asociadas a la mortalidad recogidas en el momento del primer contacto entre el hospital emisor y el centro de coordinación. Se calculó el rendimiento del modelo y se comparó la validación interna y externa, evaluando la calibración y la discriminación. RESULTADOS: Se incluyeron 900 pacientes, 450 pacientes en cada periodo de estudio. La mortalidad durante el ingreso fue del 33,8%. Las 7 variables predictoras incluidas en el modelo final fueron edad, comorbilidad, pronación, insuficiencia renal aguda, uso de oxigenoterapia de alto flujo previa a la ventilación mecánica invasiva, tabaquismo activo y un valor de PaO2/FiO2 50. El modelo mostró un buen rendimiento (Brier = 0,172) y consistencia en la calibración y discriminación. No se objetivaron diferencias en la pendiente de calibración [0,92 (IC 95%: 0,91-0,93) vs 1,12 (IC 95%: 0,6-1,17); p = 0,150] ni en la capacidad discriminativa [ABC 0,81 (IC 95%: 0,75-0,84) vs ABC de 0,85 (IC 95%: 0,81-0,89), p = 0,121] entre la validación interna y externa. CONCLUSIONES: La escala TIHCOVID puede ser de ayuda para el triaje de pacientes con infección COVID-19 grave que precisan traslado interhospitalario.

Desarrollo y validación prospectiva de la escala TIHCOVID: una herramienta de triaje y priorización del traslado interhospitalario de pacientes COVID-19 graves / Priority in interhospital transfers of patients with severe COVID-19: development and prospective validation of a triage tool

Objetivo. Desarrollar y validar una escala predictiva de eventos críticos en pacientes con infección grave por COVID-19 candidatos a traslado interhospitalario (TIH) que facilite el triaje y la priorización del transporte sanitario. Método. Estudio de cohortes prospectivo divido en dos periodos: validación interna (febrero-abril 2020) y validación externa (octubre-diciembre 2020). Se incluyeron consecutivamente los pacientes con infección grave por COVID-19 trasladados por el Sistema de Emergencias Médicas de Cataluña. Se construyó un modelo predictivo de las variables asociadas a la mortalidad recogidas en el momento del primer contacto entre el hospital emisor y el centro de coordinación. Se calculó el rendimiento del modelo y se comparó la validación interna y externa, evaluando la calibración y la discriminación. Resultados. Se incluyeron 900 pacientes, 450 pacientes en cada periodo de estudio. La mortalidad durante el ingreso fue del 33,8%. Las 7 variables predictoras incluidas en el modelo final fueron edad, comorbilidad, pronación, insuficiencia renal aguda, uso de oxigenoterapia de alto flujo previa a la ventilación mecánica invasiva, tabaquismo activo y un valor de PaO2/FiO2 < 50. El modelo mostró un buen rendimiento (Brier = 0,172) y consistencia en la calibración y discriminación. No se objetivaron diferencias en la pendiente de calibración [0,92 (IC 95%: 0,91-0,93) vs 1,12 (IC 95%: 0,6-1,17); p = 0,150] ni en la capacidad discriminativa [ABC 0,81 (IC 95%: 0,75-0,84) vs ABC de 0,85 (IC 95%: 0,81-0,89), p = 0,121] entre la validación interna y externa. Conclusiones. La escala TIHCOVID puede ser de ayuda para el triaje de pacientes con infección COVID-19 grave que precisan traslado interhospitalario.

Objectives. To develop and validate a triage scale (Spanish acronym, TIHCOVID) to assign priority by predicting critical events in patients with severe COVID-19 who are candidates for interhospital transfer. Methods. Prospective cohort study in 2 periods for internal (February–April 2020) and external (October–December 2020) validation. We included consecutive patients with severe COVID-19 who were transported by the emergency medical service of Catalonia. A risk model was developed to predict mortality based on variables recorded on first contact between the regional emergency coordination center and the transferring hospital. The model’s performance was evaluated by means of calibration and discrimination, and the results for the first and second periods were compared. Results. Nine hundred patients were included, 450 in each period. In-hospital mortality was 33.8%. The 7 predictors included in the final model were age, comorbidity, need for prone positioning, renal insufficiency, use of high-flow nasal oxygen prior to mechanical ventilation, and a ratio of PaO2 to inspired oxygen fraction of less than 50. The performance of the model was good (Brier score, 0.172), and calibration and discrimination were consistent. We found no significant differences between the internal and external validation steps with respect to either the calibration slopes (0.92 [95% CI, 0.91–0.93] vs 1.12 [95% CI, 0.6–1.17], respectively; P = .150) or discrimination (area under the curve, 0.81 [95% CI, 0.75–0.84] vs 0.85 [95% CI, 0.81–0.89]; P = .121). Conclusion. The TIHCOVID tool may be useful for triage when assigning priority for patients with severe COVID-19 who require transfer between hospitals.

Impact on polytrauma patient prehospital care during the first wave of the COVID-19 pandemic: a cross-sectional study.

BACKGROUND: The extraordinary situation caused by the onset of COVID-19 has meant that at prehospital level, the number of treatments, profile and time taken to respond for treating time-dependent pathologies has been greatly affected. However, it is not known whether the prehospital profile of polytrauma patients (PTP) has been affected. OBJECTIVE: To determine differences in the epidemiological characteristics and the clinical variables of prehospital polytrauma patients during the first wave of the COVID-19 pandemic in Catalonia. METHODOLOGY: Analytical cross-sectional study. The number of prehospital activations and the clinical and epidemiological characteristics of polytrauma patients attended by the Emergency Medical System (EMS) of Catalonia, were compared for the period between 15 February and 15 May 2020 and the same period in the previous year. Priorities 0 and 1 are assigned to the most severely injured patients. An analysis was conducted using logistic regression and nonparametric tests. RESULTS: 3023 patients were included. During the 2019 study period, 2045 (67.6%) patients were treated; however, during the pandemic period, 978 (32.4%) patients were treated, representing a 52% decrease (p = 0.002). The percentage of patients presenting priority 1 was higher during the pandemic period [240 (11.7%) vs 146 (14.9%), p = 0.032]. The percentage of priority 0 and 1 patients attended by a basic life support unit increased [201 (9.8%) vs 133 (13.6%), p = 0.006]. The number of traffic accidents decreased from 1211 (59.2%) to 522 (53.4%) and pedestrian-vehicle collisions fell from 249 (12.2%) to 92 (9.4%). Regarding weapon-related injuries and burns, there was an increase in the number of cases [43 (2.1%) vs 41 (4.2%), and 15 (0.7%) vs 22 (2.2%), p = 0.002 and p < 0.001, respectively]. Hospital mortality remained unchanged (3.9%). CONCLUSIONS: During the first wave of the pandemic, the number of polytrauma patients decreased and there was a change in the profile of severity and type of accident.

Clinical outcomes and safety of passive leg raising in out-of-hospital cardiac arrest: a randomized controlled trial.

BACKGROUND: There are data suggesting that passive leg raising (PLR) improves hemodynamics during cardiopulmonary resuscitation (CPR). This trial aimed to determine the effectiveness and safety of PLR during CPR in out-of-hospital cardiac arrest (OHCA). METHODS: We conducted a randomized controlled trial with blinded assessment of the outcomes that assigned adults OHCA to be treated with PLR or in the flat position. The trial was conducted in the Camp de Tarragona region. The main end point was survival to hospital discharge with good neurological outcome defined as cerebral performance category (CPC 1-2). To study possible adverse effects, we assessed the presence of pulmonary complications on the first chest X-rays, brain edema on the computerized tomography (CT) in survivors and brain and lungs weights from autopsies in non-survivors. RESULTS: In total, 588 randomized cases were included, 301 were treated with PLR and 287 were controls. Overall, 67.8% were men and the median age was 72 (IQR 60-82) years. At hospital discharge, 3.3% in the PLR group and 3.5% in the control group were alive with CPC 1-2 (OR 0.9; 95% CI 0.4-2.3, p = 0.91). No significant differences in survival at hospital admission were found in all patients (OR 1.0; 95% CI 0.7-1.6, p = 0.95) and among patients with an initial shockable rhythm (OR 1.7; 95% CI 0.8-3.4, p = 0.15). There were no differences in pulmonary complication rates in chest X-rays [7 (25.9%) vs 5 (17.9%), p = 0.47] and brain edema on CT [5 (29.4%) vs 10 (32.6%), p = 0.84]. There were no differences in lung weight [1223 mg (IQR 909-1500) vs 1239 mg (IQR 900-1507), p = 0.82] or brain weight [1352 mg (IQR 1227-1457) vs 1380 mg (IQR 1255-1470), p = 0.43] among the 106 autopsies performed. CONCLUSION: In this trial, PLR during CPR did not improve survival to hospital discharge with CPC 1-2. No evidence of adverse effects has been found. Clinical trial registration ClinicalTrials.gov: NCT01952197, registration date: September 27, 2013, https://clinicaltrials.gov/ct2/show/NCT01952197 .

Respuesta de los autores: Reanimación cardiopulmonar extrahospitalaria / Author’s reply: Out-of-hospital cardiopulmonary resuscitation

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Understanding the Adverse Hemodynamic Effects of Serious Thoracic Injuries During Cardiopulmonary Resuscitation: A Review and Approach Based on the Campbell Diagram.

Chest compressions during cardiopulmonary resuscitation (CPR) generate cardiac output during cardiac arrest. Their quality performance is key to achieving the return of spontaneous circulation. Serious thoracic injuries (STIs) are common during CPR, and they can change the shape and mechanics of the thorax. Little is known about their hemodynamic effects, so a review of this emerging concept is necessary. The Campbell diagram (CD) is a theoretical framework that integrates the lung and chest wall pressure-volume curves, allowing us to assess the consequences of STIs on respiratory mechanics and hemodynamics. STIs produce a decrease in the compliance of the chest wall and lung. The representation of STIs on the CD shows a decrease in the intrathoracic negative pressure and a functional residual capacity decrease during the thoracic decompression, leading to a venous return impairment. The thorax with STIs is more vulnerable to the adverse hemodynamic effects of leaning, hyperventilation, and left ventricular outflow tract obstruction during CPR. A better understanding of the effects of STIs during CPR, and the study of avoidable injuries, can help to improve the effectiveness of chest compressions and the survival in cardiac arrest.