Severe forms of influenza infections admitted in intensive care units: Analysis of mortality factors.

Background: The severe forms of influenza infection requiring intensive care unit (ICU) admission remain a medical challenge due to its high mortality. New H1N1 strains were hypothesized to increase mortality. The studies below represent a large series focusing on ICU-admitted influenza patients over the last decade with an emphasis on factors related to death. Methods: A retrospective study of patients admitted in ICU for influenza infection over the 2010-2019 period in Réunion Island (a French overseas territory) was conducted. Demographic data, underlying conditions, and therapeutic management were recorded. A univariate analysis was performed to assess factors related to ICU mortality. Results: Three hundred and fifty adult patients were analyzed. Overall mortality was 25.1%. Factors related to higher mortality were found to be patient age >65, cancer history, need for intubation, early intubation within 48 h after admission, invasive mechanical ventilation (MV), acute respiratory distress syndrome (ARDS), vaso-support drugs, extracorporal oxygenation by membrane (ECMO), dialysis, bacterial coinfection, leucopenia, anemia, and thrombopenia. History of asthma and oseltamivir therapy were correlated with a lower mortality. H1N1 did not impact mortality. Conclusion: Patient's underlying conditions influence hospital admission and secondary ICU admission but were not found to impact ICU mortality except in patients age >65, history of cancer, and bacterial coinfections. Pulmonary involvement was often present, required MV, and often evolved toward ARDS. ICU mortality was strongly related to ARDS severity. We recommend rapid ICU admission of patients with influenza-related pneumonia, management of bacterial coinfection, and early administration of oseltamivir.

An observational study using eye tracking to assess resident and senior anesthetists' situation awareness and visual perception in postpartum hemorrhage high fidelity simulation.

BACKGROUND: The postpartum hemorrhage (PPH) is the leading cause of maternal mortality in the world. Human factors and especially situation awareness has primarily responsibility to explain suboptimal cares. Based on eye tracking and behavior analysis in high fidelity simulation of PPH management, the goal of this study is to identify perceptual and cognitive key parameters of the expertise. METHODS: Two groups of fifteen anesthetists (residents and experienced anesthetists) watched the beginning of a severe simulated PPH management. During this first experimental phase, situation awareness was assessed using SAGAT (Situation Awareness Global Assessment Technique) questionnaire and visual behavior was analyzed with eye tracking. In the continuity of the video sequence, they have to step in the PPH situation and to provide care to the simulated patient. Performance of cares was evaluated and self-assessed as well as cognitive load. RESULTS: No statistical difference between the residents and experienced anesthetists was observed on performance of simulated PPH management. The mean expected practice score was 76.9 ± 13.9%). Assessment of situation awareness (65 ± 7%), cognitive load (74.4 ± 11.3%) and theoretical knowledge of PPH (52.4 ± 3.5%) were also not statistically different between the two groups. Only results of self-assessed performance (respectively 66.1 ± 16.6 and 47.0 ± 20.8 for experts and residents) and eye-tracking data revealed that experts tended to get accurate evaluation of their performance and to monitor more the blood loss of the patient. Experts have in average 8.28% more fixating points than Novices and gazed the blood loss region longer (865 ms ± 439 vs. 717 ms ± 362). CONCLUSIONS: This study pointed out the limits of classical assessment of performance, and human factors based on questionnaires to identify expertise in simulated PPH care. A neuroscientific approach with new technology like eye tracking could provide new objective and more sensitive insights on human factors in simulated medical emergency situations.