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.

Could machine learning algorithms help us predict massive bleeding at prehospital level?

OBJECTIVE: Comparison of the predictive ability of various machine learning algorithms (MLA) versus traditional prediction scales (TPS) for massive hemorrhage (MH) in patients with severe traumatic injury (STI). DESIGN: On a database of a retrospective cohort with prehospital clinical variables and MH outcome, a treatment of the database was performed to be able to apply the different AML, obtaining a total set of 473 patients (80% training, 20% validation). For modeling, proportional imputation and cross validation were performed. The predictive power was evaluated with the ROC metric and the importance of the variables using the Shapley values. SETTING: Out-of-hospital care of patients with STI. PARTICIPANTS: Patients with STI treated out-of-hospital by a out-of-hospital medical service from January 2010 to December 2015 and transferred to a trauma center in Madrid. INTERVENTIONS: None. MAIN VARIABLES OF INTEREST: Obtaining and comparing the "Receiver Operating Characteristic curve" (ROC curve) metric of four MLAs: "random forest" (RF), "vector support machine" (SVM), "gradient boosting machine" (GBM) and "neural network" (NN) with the results obtained with TPS. RESULTS: The different AML reached ROC values higher than 0.85, having medians close to 0.98. We found no significant differences between AMLs. Each AML offers a different set of more important variables with a predominance of hemodynamic, resuscitation variables and neurological impairment. CONCLUSIONS: MLA may be helpful in patients with HM by outperforming TPS.

Elevated monocyte distribution width in trauma: An early cellular biomarker of organ dysfunction.

INTRODUCTION: Traumatic injury elicits an inflammatory response such as the one occurring during systemic infection. Monocyte distribution width (MDW) has been found to distinguish sepsis in a pool of patients with suspected infection. We hypothesized that an elevated MDW in trauma patients would be associated with the development of multiple organ dysfunction syndrome (MODS) and an increased mortality. MATERIALS AND METHODS: Observational study in a dedicated trauma Intensive Care Unit (ICU) in Madrid during 2019-2020. Patients were classified according to their first MDW value on admission, as greater or lesser than 21 U. Clinical data was obtained and univariate and multivariate analysis were realized, as well as a test performance analysis. RESULTS: 354 patients were studied, with a median age of 46 years, 78% male. Half presented with severe trauma ISS > 15, mostly with a blunt mechanism of injury. A MDW ≥ 21 U on admission was found in 17% of cases. These patients were more likely to present with hemodynamic instability and MODS. They had a higher length of stay (3.8 vs 2 days) and higher mortality (21 vs 5%) compared to the low MDW group. These findings remained statistically significant in the multivariate analysis, with an OR 4.6 (IC 95% 1.7-12) for MODS and 3.1 (IC 95% 1.2-8.3) for mortality. CONCLUSIONS: In trauma patients, a MDW ≥ 21 U on admission was independently associated with a greater risk of MODS, a higher mortality and a higher length of stay. This biomarker could be useful in predicting severity in the initial evaluation of trauma patients.