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Early in the COVID-19 pandemic, the World Health Organization stressed the importance of daily clinical assessments of infected patients, yet current approaches frequently consider cross-sectional timepoints, cumulative summary measures, or time-to-event analyses. Statistical methods are available that make use of the rich information content of longitudinal assessments. We demonstrate the use of a multistate transition model to assess the dynamic nature of COVID-19-associated critical illness using daily evaluations of COVID-19 patients from 9 academic hospitals. We describe the accessibility and utility of methods that consider the clinical trajectory of critically ill COVID-19 patients.
Acute respiratory dysfunction is one of the most frequent medical complications of critically ill patients, including those suffering from neurological diseases. It contributes the highest percentage of mortality from non-neurologic causes in neurocritically ill patients [1–3]. This chapter will focus on the mechanisms, diagnostic criteria, stratification of severity, and management of hypoxemia with attention to acute respiratory distress syndrome (ARDS) in the context of the neurocritically ill. Special consideration will be provided as well to other commonly encountered diseases in the intensive care unit (ICU) such as chronic obstructive pulmonary disease (COPD), and venous thromboembolism.
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