Derivation and validation of risk prediction for posttraumatic stress symptoms following trauma exposure.

Male Humans Female Stress Disorders, Post-Traumatic / diagnosis Prospective Studies Reproducibility of Results Risk Factors Pain
Machine learning PTSD prediction risk factors trauma

Journal

Psychological medicine
ISSN: 1469-8978
Titre abrégé: Psychol Med
Pays: England
ID NLM: 1254142

Informations de publication

Date de publication:
08 2023
Historique:
medline: 1 9 2023
pubmed: 2 7 2022
entrez: 1 7 2022
Statut: ppublish

Résumé

Posttraumatic stress symptoms (PTSS) are common following traumatic stress exposure (TSE). Identification of individuals with PTSS risk in the early aftermath of TSE is important to enable targeted administration of preventive interventions. In this study, we used baseline survey data from two prospective cohort studies to identify the most influential predictors of substantial PTSS. Self-identifying black and white American women and men ( Twenty-five percent ( These analyses add to a growing literature indicating that influential predictors of PTSS can be identified and risk for future PTSS estimated from characteristics easily available/assessable at the time of ED presentation following TSE.

Sections du résumé

BACKGROUND
Posttraumatic stress symptoms (PTSS) are common following traumatic stress exposure (TSE). Identification of individuals with PTSS risk in the early aftermath of TSE is important to enable targeted administration of preventive interventions. In this study, we used baseline survey data from two prospective cohort studies to identify the most influential predictors of substantial PTSS.
METHODS
Self-identifying black and white American women and men (
RESULTS
Twenty-five percent (
CONCLUSIONS
These analyses add to a growing literature indicating that influential predictors of PTSS can be identified and risk for future PTSS estimated from characteristics easily available/assessable at the time of ED presentation following TSE.

Identifiants

DOI: 10.1017/S003329172200191X PMID: 35775366
pubmed: 35775366
doi: 10.1017/S003329172200191X
pii: S003329172200191X
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

4952-4961

Subventions

Organisme : NIAMS NIH HHS
ID : K01 AR071504
Pays : United States
Organisme : NIAMS NIH HHS
ID : R01 AR060852
Pays : United States
Organisme : NIAMS NIH HHS
ID : R01 AR056328
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS118563
Pays : United States

Auteurs

Raphael Kim (R)

Institute for Trauma Recovery, University of North Carolina, Chapel Hill, NC, USA.
Department of Anesthesiology, University of North Carolina, Chapel Hill, NC, USA.
Department of Computer Science, University of North Carolina, Chapel Hill, NC, USA.
Department of Statistics and Operations Research, University of North Carolina, Chapel Hill, NC, USA.

Tina Lin (T)

Institute for Trauma Recovery, University of North Carolina, Chapel Hill, NC, USA.
Department of Anesthesiology, University of North Carolina, Chapel Hill, NC, USA.

Gehao Pang (G)

Institute for Trauma Recovery, University of North Carolina, Chapel Hill, NC, USA.
Department of Anesthesiology, University of North Carolina, Chapel Hill, NC, USA.

Yufeng Liu (Y)

Department of Statistics and Operations Research, University of North Carolina, Chapel Hill, NC, USA.
Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA.
Department of Genetics, Carolina Center for Genome Sciences, Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA.

Andrew S Tungate (AS)

Institute for Trauma Recovery, University of North Carolina, Chapel Hill, NC, USA.
Department of Anesthesiology, University of North Carolina, Chapel Hill, NC, USA.

Phyllis L Hendry (PL)

Department of Emergency Medicine, University of Florida College of Medicine, Jacksonville, FL, USA.

Michael C Kurz (MC)

Department of Emergency Medicine, University of Alabama, Birmingham, AL, USA.

David A Peak (DA)

Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA, USA.

Jeffrey Jones (J)

Department of Emergency Medicine, Spectrum Health Butterworth Campus, Grand Rapids, MI, USA.

Niels K Rathlev (NK)

Department of Emergency Medicine, Baystate State Health System, Springfield, MA, USA.

Robert A Swor (RA)

Department of Emergency Medicine, Beaumont Hospital, Royal Oak, MI, USA.

Robert Domeier (R)

Department of Emergency Medicine, St Joseph Mercy Health System, Ann Arbor, MI, USA.

Marc-Anthony Velilla (MA)

Department of Emergency Medicine, Sinai Grace, Detroit, MI, USA.

Christopher Lewandowski (C)

Department of Emergency Medicine, Henry Ford Hospital, Detroit, MI, USA.

Elizabeth Datner (E)

Department of Emergency Medicine, Albert Einstein Medical Center, Philadelphia, PA, USA.

Claire Pearson (C)

Department of Emergency Medicine, Detroit Receiving, Detroit, MI, USA.

David Lee (D)

Department of Emergency Medicine, North Shore University Hospital, Manhasset, NY, USA.

Patricia M Mitchell (PM)

Department of Emergency Medicine, Boston University School of Medicine, Boston, MA, USA.

Samuel A McLean (SA)

Institute for Trauma Recovery, University of North Carolina, Chapel Hill, NC, USA.
Department of Anesthesiology, University of North Carolina, Chapel Hill, NC, USA.
Department of Emergency Medicine, University of North Carolina, Chapel Hill, NC, USA.

Sarah D Linnstaedt (SD)

Institute for Trauma Recovery, University of North Carolina, Chapel Hill, NC, USA.
Department of Anesthesiology, University of North Carolina, Chapel Hill, NC, USA.
ORCID: 0000-0001-5295-7072

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Classifications MeSH

questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Derivation and validation of risk prediction...
questionsmedicales.fr › Troubles mentaux › Troubles liés aux traumatismes et au stress › Troubles de stress traumatique › Troubles de stress post-traumatique › Derivation and validation of risk prediction...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Caractéristiques des études épidémiologiques › Études épidémiologiques › Études de cohortes › Études prospectives › Derivation and validation of risk prediction...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Méthodologie en recherche épidémiologique › Reproductibilité des résultats › Derivation and validation of risk prediction...
questionsmedicales.fr › Environnement et santé publique › Santé publique › Méthodes épidémiologiques › Statistiques comme sujet › Probabilité › Risque › Facteurs de risque › Derivation and validation of risk prediction...
questionsmedicales.fr › Phénomènes physiologiques de l'appareil locomoteur et du système nerveux › Phénomènes physiologiques du système nerveux › Sensation › Douleur › Derivation and validation of risk prediction...