ABSTRACT
Introduction: Whether beach chair position can improve pulmonary compliance in mechanically ventilated subjects with Coronavirus disease 2019 (COVID-19) is unclear. This study aimed to investigate the impact of beach chair position on pulmonary compliance and oxygenation in mechanically ventilated patients with COVID-19. Material(s) and Method(s): Forty-four COVID-19 subjects admitted to intensive care unit (ICU) of our institute who receive invasive mechanical ventilation were enrolled in this observational study. Patients were initially placed in supine position. Following a couple of hours patients were then placed in beach-chair position (head of bed elevated to 30 degrees) at least 16 hours a day. Data from mechanical ventilator was recorded hourly in each position. Total compliance was defined as tidal volume (VT, milliliters) divided by the difference between plateau pressure (cm H2O) and positive end-expiratory pressure (PEEP, cm H2O) Blood gas analysis was performed bi-hourly. Mean values were taken for statistical analysis. The difference in lung compliance, airway resistance, and blood gas analysis between supine and beach chair position was the primary outcome measure of this study. Result(s): Positioning patients form supine to beach-chair led to a significant improvement in lung compliance (29.68+/-10.42 ml/cm H2O vs. 33.96+/-11.71 ml/cm H2O, p<0.001), reduction in airway resistance (17.51+/-8.44 H2O/L/sc vs. 16.73+/-8.06 H2O/L/sc, p<0.001) and led to a significant decline in plateau pressure (30.82+/-5.94 cm H2O vs. 29.98+/-5.68 cm H2O, p=0.001). Moreover a significant improvement in PaO2 was observed following positioning from supine to beach-chair (67.93+/-20.29 mm Hg vs. 87.83+/-27.33 mm Hg, p<0.001). Conclusion(s): Compared to supine position, beach chair positioning improves lung compliance and oxygenation in COVID-19 patients with acute respiratory distress syndrome (ARDS) who receive invasive mechanical ventilation. Copyright © 2022 A. CARBONE Editore. All rights reserved.
ABSTRACT
In the COVID-19 era, social distance has become a new source of concern for people. Decision-makers have a limited idea of how to allocate people according to social distance due to the lack of preparedness for the pandemic. It is essential to think about both distributing as many individuals as possible in a particular area and minimizing the infection risk. This new concern’s multi-objective state affords decision-makers the opportunity to solve the problem using enhanced methodologies. The AUGMECON2 method, one of the recent popular generation methods, is used to produce the exact Pareto sets for the problem. The scale and time constraints of the challenge have been examined, and recommendations have been made to decision-makers on the trade-off between the number of people and the infection risk. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.