Modeling clinical trajectory status of critically ill COVID-19 patients over time: A method for analyzing discrete longitudinal and ordinal outcomes
Author Department
Pulmonary/Critical Care Medicine
Document Type
Article, Peer-reviewed
Publication Date
4-2022
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.
Keywords: COVID; Clinical Progression Scale; critical illness; longitudinal assessment; proportional odds.
Recommended Citation
Ward MJ, Douin DJ, Gong W, Ginde AA, Hough CL, Exline MC, Tenforde MW, Stubblefield WB, Steingrub JS, Prekker ME, Khan A, Files DC, Gibbs KW, Rice TW, Casey JD, Henning DJ, Wilson JG, Brown SM, Patel MM, Self WH, Lindsell CJ; Influenza and Other Viruses in the Acutely Ill (IVY) Network. Modeling clinical trajectory status of critically ill COVID-19 patients over time: A method for analyzing discrete longitudinal and ordinal outcomes. J Clin Transl Sci. 2022 Apr 25;6(1):e61. doi: 10.1017/cts.2022.393.
PMID
35720967