Differential Predictors of Pain Severity Over 12 Months Following Noncatastrophic Injury Sustained in a Road Traffic Crash.


Journal

The journal of pain
ISSN: 1528-8447
Titre abrégé: J Pain
Pays: United States
ID NLM: 100898657

Informations de publication

Date de publication:
06 2019
Historique:
received: 19 07 2018
revised: 24 10 2018
accepted: 27 11 2018
pubmed: 12 12 2018
medline: 9 9 2020
entrez: 12 12 2018
Statut: ppublish

Résumé

There is paucity of prospective studies that have examined rates and prognostic indicators of pain severity after a road traffic crash injury. This cohort study involved 1,854 participants aged ≥17 years with a noncatastrophic injury. Primary analyses of pain severity involved 1604 individuals who reported any pain since the injury at baseline Of these, 1,188 and 972 participants were reexamined at the 6- and 12-month follow-up, respectively. The mean pain severity (primary study outcome) was assessed using a numeric rating scale (NRS), and a range of possible pain predictors were assessed. A mean pain NRS score of 4.9 was observed at baseline, and the mean NRS score was 2.1 at the 12-month follow-up. At the 6- and 12-month follow-up, 21% and 17.5% reported clinically significant pain (NRS score of ≥5), respectively. After multivariable adjustment, key predictors of pain severity ratings over the 12 months included the following, which were measured at baseline: age, sex, education, claim compensation, spine/back injury, being a bicyclist, physical well-being, pain-related catastrophizing, pain-related disability, and trauma-related and general psychological distress. Clinically significant pain was experienced by just >1 in 6 participants 12 months after injury. Several independent contributors to chronic pain identified in this study are modifiable, reinforcing their inclusion as targets in pain management programs. PERSPECTIVE: This cohort study involving participants who sustained a noncatastrophic injury in a road traffic crash established the predictors of pain severity over 12 months. Study findings reiterate and reinforce the importance of being cognizant of a wide spectrum of biopsychosocial predictors both in the management and rehabilitation of injured persons.

Identifiants

pubmed: 30529696
pii: S1526-5900(18)30963-5
doi: 10.1016/j.jpain.2018.11.011
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

676-684

Informations de copyright

Copyright © 2018 the American Pain Society. Published by Elsevier Inc. All rights reserved.

Auteurs

Bamini Gopinath (B)

John Walsh Centre for Rehabilitation Research, Sydney Medical School, Kolling Medical Research Institute, University of Sydney, Sydney, Australia. Electronic address: bamini.gopinath@sydney.edu.au.

Jagnoor Jagnoor (J)

John Walsh Centre for Rehabilitation Research, Sydney Medical School, Kolling Medical Research Institute, University of Sydney, Sydney, Australia; The George Institute for Global Health, University of Sydney, Australia.

Annette Kifley (A)

John Walsh Centre for Rehabilitation Research, Sydney Medical School, Kolling Medical Research Institute, University of Sydney, Sydney, Australia.

Michael Nicholas (M)

Pain Management Research Institute, Sydney Medical School, University of Sydney, Australia.

Fiona Blyth (F)

Pain Management Research Institute, Sydney Medical School, University of Sydney, Australia; School of Public Health, University of Sydney, Australia.

Justin Kenardy (J)

Recover Injury Research Center, Faculty of Health and Behavioral Sciences, The University of Queensland, Brisbane, Queensland, Australia.

Ashley Craig (A)

John Walsh Centre for Rehabilitation Research, Sydney Medical School, Kolling Medical Research Institute, University of Sydney, Sydney, Australia.

Ian D Cameron (ID)

John Walsh Centre for Rehabilitation Research, Sydney Medical School, Kolling Medical Research Institute, University of Sydney, Sydney, Australia.

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Classifications MeSH