Abstract
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.
Original language | English (US) |
---|---|
Article number | e61 |
Journal | Journal of Clinical and Translational Science |
Volume | 6 |
Issue number | 1 |
DOIs | |
State | Published - Apr 25 2022 |
Keywords
- COVID
- Clinical Progression Scale
- critical illness
- longitudinal assessment
- proportional odds
ASJC Scopus subject areas
- General Medicine