Articles: coronavirus.
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Randomized Controlled Trial
Impact of aerosol box on intubation during COVID-19: a simulation study of normal and difficult airways.
Patients with coronavirus disease (COVID-19) are at risk of requiring mechanical ventilation, and concerns of protecting healthcare workers during aerosol-generating medical procedures has led to the design of the aerosol box. ⋯ In this mannequin-based simulation study, the use of the aerosol box increased the time to intubation in some contexts but not others. Further studies in a clinical setting should be conducted to make appropriate modifications to the aerosol box to fully elicit its efficacy and safety prior to implementation in airway guidelines for managing patients with COVID-19.
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Review
Prone positioning for ARDS patients-tips for preparation and use during the COVID-19 pandemic.
Many patients with coronavirus disease (COVID-19) will develop acute respiratory distress syndrome (ARDS). Prone positioning is an important non-pharmacologic strategy that should be considered for all invasively ventilated patients with moderate to severe ARDS (including those with COVID-19). ⋯ In this review, we offer ten tips, based on the Alberta provincial prone positioning strategy during COVID-19, to safely implement and improve the appropriate use of prone positioning. We provide special considerations for its use during the COVID-19 pandemic or future respiratory pandemics.
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This study aims to screen useful predictors of critical cases among coronavirus disease 2019 (COVID-19) patients and to develop a simple-to-use nomogram for clinical utility. A retrospective study was conducted that consisted of a primary cohort with 315 COVID-19 patients and two validation cohorts with 69 and 123 patients, respectively. Logistic regression analyses were used to identify the independent risks of progression to critical. ⋯ Good discrimination (C-index, 0.882 and 0.906) and calibration were also noted on applying the nomogram in two validation cohorts. The clinical relevance of the nomogram was justified by the decision curve and clinical impact curve analysis. This study presents an individualized prediction nomogram incorporating six clinical characteristics, which can be conveniently applied to assess an individual's risk of progressing to critical COVID-19.