Optimal Prone Position Duration in Patients With ARDS Due to COVID-19: The Omelette Pilot Trial.

BACKGROUND: Prone position (PP) has been widely used in the COVID-19 pandemic for ARDS management. However, the optimal length of a PP session is still controversial. This study aimed to evaluate the effects of prolonged versus standard PP duration in subjects with ARDS due to COVID-19. METHODS: This was a single-center, randomized controlled, parallel, and open pilot trial including adult subjects diagnosed with severe ARDS due to COVID-19 receiving invasive mechanical ventilation that met criteria for PP between March-September 2021. Subjects were randomized to the intervention group of prolonged PP (48 h) versus the standard of care PP (∼16 h). The primary outcome variable for the trial was ventilator-free days (VFDs) to day 28. RESULTS: We enrolled 60 subjects. VFDs were not significantly different in the standard PP group (18 [interquartile range [IQR] 0-23] VFDs vs 7.5 [IQR 0-19.0] VFDs; difference, -10.5 (95% CI -3.5 to 19.0, P = .08). Prolonged PP was associated with longer time to successful extubation in survivors (13.00 [IQR 8.75-26.00] d vs 8.00 [IQR 5.00-10.25] d; difference, 5 [95% CI 0-15], P = .001). Prolonged PP was also significantly associated with longer ICU stay (18.5 [IQR 11.8-25.3] d vs 11.50 [IQR 7.75-25.00] d, P = .050) and extended administration of neuromuscular blockers (12.50 [IQR 5.75-20.00] d vs 5.0 [IQR 2.0-14.5] d, P = .005). Prolonged PP was associated with significant muscular impairment according to lower Medical Research Council values (59.6 [IQR 59.1-60.0] vs 56.5 [IQR 54.1-58.9], P = .02). CONCLUSIONS: Among subjects with severe ARDS due to COVID-19, there was no difference in 28-d VFDs between prolonged and standard PP strategy. However, prolonged PP was associated with a longer ICU stay, increased use of neuromuscular blockers, and greater muscular impairment. This suggests that prolonged PP is not superior to the current recommended standard of care.

Shock Index and Physiological Stress Index for reestratifying patients with intermediate-high risk pulmonary embolism.

OBJECTIVE: Study and Evaluation of Two Scores: Shock Index (SI) and Physiological Stress Index (PSI) as discriminators for proactive treatment (reperfusion before decompensated shock) in a population of intermediate-high risk pulmonary embolism (PE). DESIGN: Using a database from a retrospective cohort with clinical variables and the outcome variable of "proactive treatment", a comparison of the populations was conducted. Optimal cut-off for "proactive treatment" points were obtained according to the SI and PSI. Comparisons were carried out based on the cut-off points of both indices. SETTING: Patients admitted to a mixed ICU for PE. PARTICIPANTS: Patients >18 years old admitted to the ICU with intermediate-high risk PE recruited from January 2015 to October 2022. INTERVENTIONS: None. MAIN VARIABLES OF INTEREST: Population comparison and metrics regarding predictive capacity when determining proactive treatment. RESULTS: SI and PSI independently have a substandard predictive capacity for discriminating patients who may benefit from an early reperfusion therapy. However, their combined use improves detection of sicker intermediate-high risk PE patients (Sensitivity = 0.66) in whom an early reperfusion therapy may improve outcomes (Specificity = 0.9). CONCLUSIONS: The use of the SI and PSI in patients with intermediate-high risk PE could be useful for selecting patients who would benefit from proactive treatment.

Prognostic value of metabolic parameters measured by first responders attending patients with severe trauma: associations with the New Injury Severity Score and mortality. / Valor pronóstico de los parámetros metabólicos medidos en la asistencia inicial a pacientes con trauma grave: asociación con la puntuación de la escala NISS y la mortalidad.

OBJECTIVES: Patients with severe or potentially severe trauma must be identified early, a challenge in prehospital settings. This study aimed to analyze the possible diagnostic and prognostic usefulness of analytical markers recorded in the early moments of care. MATERIAL AND METHODS: Observational study of information extracted from the prospective multicenter Code Trauma database for 2016-2019, excluding data for isolated head injuries. Using the New Injury Severity Score (NISS), we classified cases into 4 levels of severity. NISS and mortality were considered the dependent variables in inferential analyses. We calculated the areas under receiver operating characteristic curves, identified optimal cutoff points (Youden index), and calculated positive (PPV) and negative predictive values.. RESULTS: Of the 1039 trauma patients in the registry, 709 were included in the study. Their mean (SD) age was 40.4 (17.3) years, and 77.3% were men. Motorcycle accidents were the most common causes of trauma (in 21%), and mortality was 12.1%. Lactate concentration, pH, PCO2, hemoglobin concentration, hematocrit, and blood sugar were significantly associated with severity and mortality. The PPVs corresponding to pH for the 4 NISS score groups (34-41, 42-49, 50-59, and $ 60) and mortality, respectively, were 61.2, 64.1, 70.7, 62.2, and 66.6. The PPVs of traditionally used clinical variables were lower. CONCLUSION: Patients with more severe trauma had lower pH values and higher PCO2, lactate, and base excess values. PCO2, pH, and blood sugar findings were the best predictors of severity. Metabolic variables are better predictors than traditionally recorded hemodynamic variables.

OBJETIVO: En entornos de emergencia prehospitalarios, la detección temprana de un paciente con trauma grave o potencialmente crítico es un desafío. El objetivo es analizar las posibilidades diagnósticas y pronóstico de los parámetros analíticos obtenidos en los primeros momentos de la asistencia inicial. METODO: Estudio observacional multicéntrico de la base de datos prospectiva "Código Trauma" de 2016-2019 excluyendo el trauma craneoencefálico aislado. La evaluación de las lesiones se realizó utilizando el New Injury Severity Score (NISS). Los pacientes fueron clasificados en 4 grupos según nivel de gravedad. Para el análisis inferencial, las puntuaciones NISS y el resultado de mortalidad se consideraron variables dependientes. Se realizó el análisis de la curva ROC, puntos de corte óptimos mediante el índice de Youden y se calcularon los valores predictivos positivo (VPP) y negativo. RESULTADOS: De los 1.039 pacientes traumatizados del registro, 709 fueron incluidos en el estudio, con una edad media de 40,4 años (DE 17,3), 77,3% eran varones, el mecanismo lesional principal accidentes de moto (21%) y la mortalidad del 12,1%. El pH, lactato, pCO2, hemoglobina, hematocrito y glucemia influyeron significativamente en gravedad y mortalidad. El VPP de mortalidad para pH fue 61,2, 64,1, 70,7, 62,2 y 66,6 para los grupos de NISS 34- 41, 42-49, 50-59 y $ 60 puntos la mortalidad, respectivamente. Las variables clínicas clásicas obtuvieron valores más bajos. CONCLUSIONES: Los pacientes con mayor gravedad presentaron menor pH y concentraciones más altas de pCO2, lactato y exceso de bases. El pH, la pCO2 y la glucemia tuvieron la mayor capacidad predictiva de gravedad. La capacidad predictiva de los valores metabólicos es superior a la de los valores hemodinámicos clásicos.

Valor pronóstico de los parámetros metabólicos medidos en la asistencia inicial a pacientes con trauma grave: asociación con la puntuación de la escala NISS y la mortalidad / Prognostic value of metabolic parameters measured by first responders attending patients with severe trauma: associations with the New Injury Severity Score and mortality

Objetivos. En entornos de emergencia prehospitalarios, la detección temprana de un paciente con trauma grave o potencialmente crítico es un desafío. El objetivo es analizar las posibilidades diagnósticas y pronóstico de los parámetros analíticos obtenidos en los primeros momentos de la asistencia inicial. Métodos. Estudio observacional multicéntrico de la base de datos prospectiva “Código Trauma” de 2016-2019 excluyendo el trauma craneoencefálico aislado. La evaluación de las lesiones se realizó utilizando el New Injury Severity Score (NISS). Los pacientes fueron clasificados en 4 grupos según nivel de gravedad. Para el análisis inferencial, las puntuaciones NISS y el resultado de mortalidad se consideraron variables dependientes. Se realizó el análisis de la curva ROC, puntos de corte óptimos mediante el índice de Youden y se calcularon los valores predictivos positivo (VPP) y negativo. Resultados. De los 1.039 pacientes traumatizados del registro, 709 fueron incluidos en el estudio, con una edad media de 40,4 años (DE 17,3), 77,3% eran varones, el mecanismo lesional principal accidentes de moto (21%) y la mortalidad del 12,1%. El pH, lactato, pCO2, hemoglobina, hematocrito y glucemia influyeron significativamente en gravedad y mortalidad. El VPP de mortalidad para pH fue 61,2, 64,1, 70,7, 62,2 y 66,6 para los grupos de NISS 34-41, 42-49, 50-59 y $ 60 puntos la mortalidad, respectivamente. Las variables clínicas clásicas obtuvieron valores más bajos. Conclusiones. Los pacientes con mayor gravedad presentaron menor pH y concentraciones más altas de pCO2, lactato y exceso de bases. El pH, la pCO2 y la glucemia tuvieron la mayor capacidad predictiva de gravedad. La capacidad predictiva de los valores metabólicos es superior a la de los valores hemodinámicos clásicos. (AU)

Background and objective: Patients with severe or potentially severe trauma must be identified early, a challenge in prehospital settings. This study aimed to analyze the possible diagnostic and prognostic usefulness of analytical markers recorded in the early moments of care. Methods: Observational study of information extracted from the prospective multicenter Code Trauma database for 2016-2019, excluding data for isolated head injuries. Using the New Injury Severity Score (NISS), we classified cases into 4 levels of severity. NISS and mortality were considered the dependent variables in inferential analyses. We calculated the areas under receiver operating characteristic curves, identified optimal cutoff points (Youden index), and calculated positive (PPV) and negative predictive values. Results: Of the 1039 trauma patients in the registry, 709 were included in the study. Their mean (SD) age was 40.4 (17.3) years, and 77.3% were men. Motorcycle accidents were the most common causes of trauma (in 21%), and mortality was 12.1%. Lactate concentration, pH, PCO2, hemoglobin concentration, hematocrit, and blood sugar were significantly associated with severity and mortality. The PPVs corresponding to pH for the 4 NISS score groups (34-41, 42-49, 50-59, and $ 60) and mortality, respectively, were 61.2, 64.1, 70.7, 62.2, and 66.6. The PPVs of traditionally used clinical variables were lower. Conclusions: Patients with more severe trauma had lower pH values and higher PCO2, lactate, and base excess values. PCO2, pH, and blood sugar findings were the best predictors of severity. Metabolic variables are better predictors than traditionally recorded hemodynamic variables. (AU)