A validated predictive algorithm of post-traumatic stress course following emergency department admission after a traumatic stressor

Annually, approximately 30 million patients are discharged from the emergency department (ED) after a traumatic event 1 . These patients are at substantial psychiatric risk, with approximately 10–20% developing one or more disorders, including anxiety, depression or post-traumatic stress disorder (P...

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Bibliographic Details
Published in:	Nature medicine Vol. 26; no. 7; pp. 1084 - 1088
Main Authors:	Schultebraucks, Katharina, Shalev, Arieh Y., Michopoulos, Vasiliki, Grudzen, Corita R., Shin, Soo-Min, Stevens, Jennifer S., Maples-Keller, Jessica L., Jovanovic, Tanja, Bonanno, George A., Rothbaum, Barbara O., Marmar, Charles R., Nemeroff, Charles B., Ressler, Kerry J., Galatzer-Levy, Isaac R.
Format:	Journal Article
Language:	English
Published:	New York Nature Publishing Group US 01.07.2020 Nature Publishing Group
Subjects:	631/114/1305 631/114/2415 692/499 692/53/2422 692/53/2423 Adolescent Adult Aged Algorithms Anxiety Biomedical and Life Sciences Biomedicine Cancer Research Care and treatment Complications and side effects Diagnosis Electronic health records Electronic medical records Emergency medical care Emergency medical services Emergency Service, Hospital - standards Female Health services Hospitalization Humans Infectious Diseases Learning algorithms Letter Machine learning Male Medical records Mental disorders Metabolic Diseases Middle Aged Molecular Medicine Neurosciences Patients Post traumatic stress disorder Prognosis Psychological stress Psychopathology Risk Risk Assessment Risk Factors Signs and symptoms Stress Disorders, Post-Traumatic - diagnosis Stress Disorders, Post-Traumatic - etiology Stress Disorders, Post-Traumatic - pathology Stress Disorders, Post-Traumatic - psychology Trauma Wounds and injuries Wounds and Injuries - complications Wounds and Injuries - diagnosis Wounds and Injuries - physiopathology Wounds and Injuries - psychology Young Adult United States
ISSN:	1078-8956, 1546-170X, 1546-170X
Online Access:	Get full text
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