Impact of comorbidities on survival following major injury across different types of road users.


Journal

Injury
ISSN: 1879-0267
Titre abrégé: Injury
Pays: Netherlands
ID NLM: 0226040

Informations de publication

Date de publication:
Oct 2022
Historique:
received: 08 02 2022
revised: 07 06 2022
accepted: 03 07 2022
pubmed: 20 7 2022
medline: 28 9 2022
entrez: 19 7 2022
Statut: ppublish

Résumé

While comorbidities and types of road users are known to influence survival in people hospitalised with injury, few studies have examined the association between comorbidities and survival in people injured in road traffic crashes. Further, few studies have examined outcomes across different types of road users with different types of pre-existing comorbidities. This study aims to examine differences in survival within 30 days of admission among different road user types with and without different pre-existing comorbidities. Retrospective cohort study using data for all major road trauma cases were extracted from the NSW Trauma Registry Minimum Dataset (1 January 2013 - 31 July 2019) and linked to the NSW Admitted Patient Data Collection, and the NSW Registry of Births, Deaths and Marriages - death dataset. Pre-existing comorbidities and road user types were identified by the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, Australian Modification (ICD-10-AM) codes and Charlson Comorbidity Index in the Trauma Registry, hospital admission, and death datasets. Logistic regression was used to assess the associations between six types of road users (pedestrian, pedal cycle, two- and three-wheel motorcycle, car and pick-up truck, heavy vehicle and bus, and other types of vehicle) and death within 30 days of hospital admission while controlling for comorbidities. All models used 'car and pick-up truck driver/passenger' as the road user reference group and adjusted for demographic variables, injury severity, and level of impaired consciousness. Within 6253 traffic injury person-records (all aged ≥15 years old, ISS>12), and in final models, injured road users with major trauma who had a history of cardiovascular diseases (including stroke), diabetes mellitus, and higher Charlson Comorbidity Index score, were more likely to die, than those without pre-existing comorbidities. Furthermore, in final models, pedestrians were more likely to die than car occupants (OR: 1.68 - 1.77, 95CI%: 1.26 - 2.29 depending on comorbidity type). This study highlights the need to prioritize enhanced management of trauma patients with comorbidities, given the increasing prevalence of chronic medical conditions globally, together with actions to prevent pedestrian crashes in strategies to reach Vision Zero.

Sections du résumé

BACKGROUND BACKGROUND
While comorbidities and types of road users are known to influence survival in people hospitalised with injury, few studies have examined the association between comorbidities and survival in people injured in road traffic crashes. Further, few studies have examined outcomes across different types of road users with different types of pre-existing comorbidities. This study aims to examine differences in survival within 30 days of admission among different road user types with and without different pre-existing comorbidities.
METHOD METHODS
Retrospective cohort study using data for all major road trauma cases were extracted from the NSW Trauma Registry Minimum Dataset (1 January 2013 - 31 July 2019) and linked to the NSW Admitted Patient Data Collection, and the NSW Registry of Births, Deaths and Marriages - death dataset. Pre-existing comorbidities and road user types were identified by the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, Australian Modification (ICD-10-AM) codes and Charlson Comorbidity Index in the Trauma Registry, hospital admission, and death datasets. Logistic regression was used to assess the associations between six types of road users (pedestrian, pedal cycle, two- and three-wheel motorcycle, car and pick-up truck, heavy vehicle and bus, and other types of vehicle) and death within 30 days of hospital admission while controlling for comorbidities. All models used 'car and pick-up truck driver/passenger' as the road user reference group and adjusted for demographic variables, injury severity, and level of impaired consciousness.
RESULTS RESULTS
Within 6253 traffic injury person-records (all aged ≥15 years old, ISS>12), and in final models, injured road users with major trauma who had a history of cardiovascular diseases (including stroke), diabetes mellitus, and higher Charlson Comorbidity Index score, were more likely to die, than those without pre-existing comorbidities. Furthermore, in final models, pedestrians were more likely to die than car occupants (OR: 1.68 - 1.77, 95CI%: 1.26 - 2.29 depending on comorbidity type).
CONCLUSIONS CONCLUSIONS
This study highlights the need to prioritize enhanced management of trauma patients with comorbidities, given the increasing prevalence of chronic medical conditions globally, together with actions to prevent pedestrian crashes in strategies to reach Vision Zero.

Identifiants

pubmed: 35851477
pii: S0020-1383(22)00459-4
doi: 10.1016/j.injury.2022.07.005
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3178-3185

Informations de copyright

Copyright © 2022 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest None.

Auteurs

C C Shu (CC)

The George Institute for Global Health, University of New South Wales, Level 5, 1 King St, Newtown, NSW 2042, Australia. Electronic address: cshu@georgeinstitute.org.au.

M Dinh (M)

NSW Institute for Trauma and Injury Management (ITIM), NSW Agency for Clinical Innovation (ACI), Locked Bag 2030, St Leonards, NSW 159, Australia; Sydney Medical School, University of Sydney, Edward Ford Building (A27) Fisher Road, University of Sydney, NSW 2006, Australia.

R Mitchell (R)

Australian Institute of Health Innovation, Faculty of Medicine, Health and Human Sciences, Macquarie University, Level 6, 75 Talavera Road, Macquarie University, North Ryde, NSW 2109, Australia.

Z J Balogh (ZJ)

Department of Traumatology, John Hunter Hospital and School of Medicine and Public Health, University of Newcastle, Callaghan, NSW 2308, Australia.

K Curtis (K)

The George Institute for Global Health, University of New South Wales, Level 5, 1 King St, Newtown, NSW 2042, Australia; Susan Wakil School of Nursing, Faculty of Medicine and Health, University of Sydney, Susan Wakil Health Building, Western Avenue, The University of Sydney, NSW 2006, Australia.

P Sarrami (P)

NSW Institute for Trauma and Injury Management (ITIM), NSW Agency for Clinical Innovation (ACI), Locked Bag 2030, St Leonards, NSW 159, Australia; South Western Sydney Clinical School, University of New South Wales, Locked Bag 7103, Liverpool, BC, NSW 1871, Australia.

H Singh (H)

NSW Institute for Trauma and Injury Management (ITIM), NSW Agency for Clinical Innovation (ACI), Locked Bag 2030, St Leonards, NSW 159, Australia.

J-F Levesque (JF)

NSW Agency for Clinical Innovation (ACI), Locked Bag 2030, St Leonards, NSW 1590, Australia; Centre for Primary Health Care and Equity, University of New South Wales, Level 3, AGSM Building, UNSW Sydney, NSW 2052, Australia.

J Brown (J)

The George Institute for Global Health, University of New South Wales, Level 5, 1 King St, Newtown, NSW 2042, Australia.

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