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Background: Anemia affects up to 25% of emergency department (ED) patients. Restrictive red blood cell (RBC) transfusion strategies are recommended for stable patients, but ED transfusion practices often remain liberal. Benefits of ED transfusion remains unclear. Objective: To evaluate the impact of ED transfusion on death-adjusted in-hospital length of stay (LOS) in stable anemic patients requiring hospitalization. Methods: This single-center retrospective propensity-matched study included patients ≥ 18 years admitted to the ED of Nîmes University Hospital in 2022 with hemoglobin levels between 70 and 90 g.L− 1. Patients with hemorrhagic shock or requiring emergent hemostatic procedures were excluded. Propensity score matching was conducted on variables including age, comorbidities, hemoglobin levels, and diastolic blood pressure. Primary outcome was adjusted in-hospital LOS. Secondary outcomes included ED LOS and RBC transfusion volumes. Results: Among 564 patients, 118 (21%) were propensity-matched: 59 (50%) ED-transfused, 59 (50%) non-ED-transfused. Adjusted in-hospital LOS 13 [8–32] for ED-transfused patients and 12 [6–24] days for non-ED-transfused patients (median difference = 0; 95%CI: -10–7; p = 0.52). Median difference in ED LOS was 7:13 (95%CI: 1:00–11:25; p < 0.001) between ED transfused and non-ED-transfused patients. Median difference in number of RBC transfused during in hospital stay was 2 (95%CI: 1–3); p < 0.01) between ED transfused and non-ED-transfused patients. Conclusion: In stable anemic patients with 70 to 90 g.L− 1 hemoglobin level, ED transfusion did not reduce adjusted in-hospital LOS but prolonged ED LOS. Identifying patients who may safely defer transfusion could improve ED efficiency and safety. [ABSTRACT FROM AUTHOR]

Background: The early mortality of trauma patients, mainly from hemorrhagic shock, raises interest in detecting the presence of non-exteriorized bleeding. Intra-hospital EFAST (Extended Focused Assessment with Sonography for Trauma) has demonstrated its utility in the assessment and management of severe trauma patients (STP). However, there is a lack of data regarding the diagnostic performance of prehospital EFAST (pEFAST). The main objective of our study was to evaluate the pEFAST performance to predict a positive CT scan in STP. Methods: This was a retrospective, multicenter, database-driven study. All severe trauma patients managed by a prehospital medical team were included. The results of pEFAST were compared with the admission CT scan. Results: Data from 495 patients were included. The pEFAST had sensitivity of 27% (95% CI 22; 32) and specificity of 94% (95% CI 90; 97) for predicting the presence of a lesion on CT scan at hospital admission. The area under the curve (AUC) was 0.66 (95% CI 0.57; 0.63), the positive predictive value 84% (95% CI 75; 87), the negative predictive value was 51% (95% CI 44; 66), the positive likelihood ratio was 4.24 (95% CI 2.46; 7.3) and the negative likelihood ratio 0.78 (95% CI 0.72; 0.85). Conclusion: Prehospital EFAST has an excellent specificity but a poor sensitivity for predicting a positive CT scan on hospital admission. We do not know whether this low sensitivity is secondary to the delay between the two examinations or to the poor performance of pEFAST. Therefore, a negative pEFAST should not be reassuring. A positive pEFAST is highly informative, as it predicts a lesion and enables hospital management to be prepared accordingly. [ABSTRACT FROM AUTHOR]

Introduction: Assessment of left ventricular ejection fraction (LVEF) is one of the primary objectives of echocardiography. The gold standard assessment technique in emergency medicine is eyeballing. A new tool is now available on pocket ultrasound devices (PUD): automatic LVEF. The primary aim of this study was to evaluate the concordance between LVEF values estimated by automatic LVEF with PUD and by cardiac magnetic resonance imaging (MRI). Materials: This was a prospective, monocentric, and observational study. All adult patients with an indication for cardiac MRI underwent a point-of-care ultrasound. Blinded to the MRI results, the emergency physician assessed LVEF using the automatic PUD tool and by visual evaluation. Results: Sixty patients were included and analyzed. Visual estimation of LVEF was feasible for all patients and automatic evaluation for 52 (87%) patients. Lin's concordance correlation coefficient between automatic ejection fraction with PUD and by cardiac MRI was 0.23 (95% CI, 0.03–0.40). Conclusion: Concordance between LVEF estimated by the automatic ejection fraction with PUD and LVEF estimated by MRI was non-existent. [ABSTRACT FROM AUTHOR]

Severe hemorrhage is the leading cause of early preventable death in severe trauma patients. Delayed diagnosis is a poor prognostic factor, and severe hemorrhage prediction is essential. The aim of our study was to investigate if there was an association between the detection of peritoneal or pleural fluid on prehospital sonography for trauma and posttraumatic severe hemorrhage. We retrospectively studied data from records of thoracic or abdominal trauma patients managed in mobile intensive care units from January 2017 to December 2021 in four centers in France. Severe hemorrhage was defined as a condition necessitating transfusion of at least four packed red blood cells or surgical intervention/radioembolization for hemostasis within the first 24 h. Using a multivariate analysis, we investigated the predictive performance of focused assessment with sonography for trauma (FAST) alone or in combination with the five Red Flags criteria validated by Hamada et al. Among the 527 patients analyzed, 371 (71%) were men, the mean age was 41 ± 19 years, and the Injury Severity Score was 11 (Interquartile range = [5; 22]). Seventy-three (14%) patients had severe hemorrhage - of whom 28 (38%) had a positive FAST, compared to 61 (13%) without severe hemorrhage (p < 0.01). For severe hemorrhage prediction, FAST had a sensitivity of 38% (95%CI = [27%; 50%]) and a specificity of 87% (95%CI = [83%; 90%]) (AUC = 0.62, 95%CI = [0.57; 0.68]). The comparison of the other outcomes between positive and negative FAST was: hemostatic procedure, 22 (25%) vs 28 (6%), p < 0.01; intensive care unit admission 71 (80%) vs 190 (43%), p < 0.01; mean length of hospital stay 11 [4; 27] vs 4 [0; 14] days, p = 0.02; 30-day mortality 13 (15%) vs 22 (5%), p < 0.01. A positive FAST performed in the prehospital setting is associated with severe hemorrhage and all prognostic criteria we studied. [ABSTRACT FROM AUTHOR]

Author(s): Gary Duclos [sup.1], Xavier Bobbia [sup.2], Thibaut Markarian [sup.3], Laurent Muller [sup.2], Camille Cheyssac [sup.1], Sarah Castillon [sup.1], Noémie Resseguier [sup.4], Alain Boussuges [sup.5] [sup.6], Giovanni Volpicelli [sup.7], Marc [...], Purpose Lung ultrasound is used for the diagnosis of pneumothorax, based on lung sliding abolition which is a qualitative and operator-dependent assessment. Speckle tracking allows the quantification of structure deformation over time by analysing acoustic markers. We aimed to test the ability of speckle tracking technology to quantify lung sliding in a selected cohort of patients and to observe how the technology may help the process of pneumothorax diagnosis. Methods We performed retrospectively a pleural speckle tracking analysis on ultrasound loops from patients with pneumothorax. We compared the values measured by two observers from pneumothorax side with contralateral normal lung side. The receiver operating characteristic (ROC) curve was constructed to evaluate the performance of maximal pleural strain to detect the lung sliding abolition. Diagnosis performance and time to diagnosis between B-Mode and speckle tracking technology were compared from a third blinded observer. Results We analysed 104 ultrasound loops from 52 patients. The area under the ROC curve of the maximal pleural strain value to identify lung sliding abolition was 1.00 [95%CI 1.00; 1.00]. Specificity was 100% [95%CI 93%; 100%] and sensitivity was 100% [95%CI 93%; 100%] with the best cut-off of 4%. Over 104 ultrasound loops, the blinded observer made two errors with B-Mode and none with speckle tracking. The median diagnosis time was 3 [2-5] seconds for B-Mode versus 2 [1-2] seconds for speckle tracking (p = 0.001). Conclusion Speckle tracking technology allows lung sliding quantification and detection of lung sliding abolition in case of pneumothorax on selected ultrasound loops.