"Use of serial smartphone-based assessments to characterize diverse neu" by Francesca L. Beaudoin, Xinming An et al.
 

Authors

Francesca L. Beaudoin, Brown University
Xinming An, UNC School of Medicine
Archana Basu, Harvard T.H. Chan School of Public Health
Yinyao Ji, UNC School of Medicine
Mochuan Liu, UNC School of Medicine
Ronald C. Kessler, Harvard Medical School
Robert F. Doughtery, Mindstrong Health
Donglin Zeng, UNC Gillings School of Global Public Health
Kenneth A. Bollen, College of Arts & Sciences
Stacey L. House, Washington University School of Medicine in St. Louis
Jennifer S. Stevens, Emory University School of Medicine
Thomas C. Neylan, University of California, San Francisco
Gari D. Clifford, Emory University School of Medicine
Tanja Jovanovic, Wayne State University School of Medicine
Sarah D. Linnstaedt, UNC School of Medicine
Laura T. Germine, McLean Hospital
Scott L. Rauch, McLean Hospital
John P. Haran, University of Massachusetts Chan Medical School
Alan B. Storrow, Vanderbilt University Medical Center
Christopher Lewandowski, Henry Ford Health System
Paul I. Musey, Indiana University School of Medicine
Phyllis L. Hendry, University of Florida College of Medicine
Sophia Sheikh, University of Florida College of Medicine
Christopher W. Jones, Cooper Medical School of Rowan University
Brittany E. Punches, University of Cincinnati College of Medicine
Michael C. Kurz, Heersink School of Medicine
Robert A. Swor, Oakland University William Beaumont School of Medicine
Vishnu P. Murty, Temple University
Meghan E. McGrath, Boston Medical Center
Lauren A. Hudak, Emory University School of Medicine
Jose L. Pascual, University of Pennsylvania
Elizabeth M. Datner, Einstein Healthcare Network

Document Type

Article

Abstract

The authors sought to characterize adverse posttraumatic neuropsychiatric sequelae (APNS) symptom trajectories across ten symptom domains (pain, depression, sleep, nightmares, avoidance, re-experiencing, anxiety, hyperarousal, somatic, and mental/fatigue symptoms) in a large, diverse, understudied sample of motor vehicle collision (MVC) survivors. More than two thousand MVC survivors were enrolled in the emergency department (ED) and completed a rotating battery of brief smartphone-based surveys over a 2-month period. Measurement models developed from survey item responses were used in latent growth curve/mixture modeling to characterize homogeneous symptom trajectories. Associations between individual trajectories and pre-trauma and peritraumatic characteristics and traditional outcomes were compared, along with associations within and between trajectories. APNS across all ten symptom domains were common in the first two months after trauma. Many risk factors and associations with high symptom burden trajectories were shared across domains. Both across and within traditional diagnostic boundaries, APNS trajectory intercepts, and slopes were substantially correlated. Across all domains, symptom severity in the immediate aftermath of trauma (trajectory intercepts) had the greatest influence on the outcome. An interactive data visualization tool was developed to allow readers to explore relationships of interest between individual characteristics, symptom trajectories, and traditional outcomes (http://itr.med.unc.edu/aurora/parcoord/). Individuals presenting to the ED after MVC commonly experience a broad constellation of adverse posttraumatic symptoms. Many risk factors for diverse APNS are shared. Individuals diagnosed with a single traditional outcome should be screened for others. The utility of multidimensional categorizations that characterize individuals across traditional diagnostic domains should be explored.

Publication Date

12-1-2023

Volume

13

Issue

1

First Page

National Institutes of Health

DOI

10.1038/s41398-022-02289-y

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Repository URL

https://irl.umsl.edu/psychology-faculty/118