Journal of Clinical and Translational Science (Jan 2022)
Modeling clinical trajectory status of critically ill COVID-19 patients over time: A method for analyzing discrete longitudinal and ordinal outcomes
- Michael J. Ward,
- David J. Douin,
- Wu Gong,
- Adit A. Ginde,
- Catherine L. Hough,
- Matthew C. Exline,
- Mark W. Tenforde,
- William B. Stubblefield,
- Jay S. Steingrub,
- Matthew E. Prekker,
- Akram Khan,
- D. Clark Files,
- Kevin W. Gibbs,
- Todd W. Rice,
- Jonathan D. Casey,
- Daniel J. Henning,
- Jennifer G. Wilson,
- Samuel M. Brown,
- Manish M. Patel,
- Wesley H. Self,
- Christopher J. Lindsell,
- for the Influenza and Other Viruses in the Acutely Ill (IVY) Network
Affiliations
- Michael J. Ward
- ORCiD
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
- David J. Douin
- ORCiD
- University of Colorado School of Medicine, Aurora, Colorado, USA
- Wu Gong
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Adit A. Ginde
- University of Colorado School of Medicine, Aurora, Colorado, USA
- Catherine L. Hough
- Oregon Health & Science University Hospital, Portland, Oregon, USA
- Matthew C. Exline
- Ohio State University Wexner Medical Center, Columbus, Ohio, USA
- Mark W. Tenforde
- CDC COVID-19 Response Team, Atlanta, Georgia, USA
- William B. Stubblefield
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Jay S. Steingrub
- Baystate Medical Center, Springfield, Massachusetts, USA
- Matthew E. Prekker
- Hennepin County Medical Center, Minneapolis, Minnesota, USA
- Akram Khan
- Oregon Health & Science University Hospital, Portland, Oregon, USA
- D. Clark Files
- Wake Forest University Baptist Medical Center, Winston-Salem, North Carolina, USA
- Kevin W. Gibbs
- Wake Forest University Baptist Medical Center, Winston-Salem, North Carolina, USA
- Todd W. Rice
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Jonathan D. Casey
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Daniel J. Henning
- University of Washington School of Medicine, Seattle, Washington, USA
- Jennifer G. Wilson
- Stanford University School of Medicine, Palo Alto, California, USA
- Samuel M. Brown
- Intermountain Medical Center and University of Utah, Salt Lake City, Utah, USA
- Manish M. Patel
- CDC COVID-19 Response Team, Atlanta, Georgia, USA
- Wesley H. Self
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Christopher J. Lindsell
- ORCiD
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
- for the Influenza and Other Viruses in the Acutely Ill (IVY) Network
- DOI
- https://doi.org/10.1017/cts.2022.393
- Journal volume & issue
-
Vol. 6
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
