Journal of clinical and translational science · 2022
Modeling clinical trajectory status of critically ill COVID-19 patients over time: A method for analyzing discrete longitudinal and ordinal outcomes.
СтатьяНазвание и аннотация: Перевод в очереди
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Ward Michael J, Douin David J, Gong Wu, Ginde Adit A, Hough Catherine L, Exline Matthew C, Tenforde Mark W, Stubblefield William B, Steingrub Jay S, Prekker Matthew E, Khan Akram, Files D Clark, Gibbs Kevin W, Rice Todd W, Casey Jonathan D, Henning Daniel J, Wilson Jennifer G, Brown Samuel M, Patel Manish M, Self Wesley H, Lindsell Christopher J, Influenza and Other Viruses in the Acutely Ill (IVY) Network
Аннотация
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.