Dataset Information

Longitudinal analysis of health status the first year after trauma in severely injured patients.

ABSTRACT:

Purpose

While survival rates after a trauma are increasing a considerable part of the trauma population are still at risk for both short and long term disabilities. Little is known about prognostic factors over time after a severe trauma. The aim of the present prospective cohort study was to examine trauma and patient related prognostic factors for a lower health status over time after a severe trauma.

Methods

A multicentre prospective observational cohort study was conducted. Adult trauma patients with severe injuries (ISS???16) were included from August 2015 until November 2016 if admitted to one of the hospitals in Noord-Brabant (the Netherlands). Outcome measure was health status, measured by the EuroQol-5D (EQ-5D utility and EQ-Visual analogue scale) and the Health Utilities Index (HUI2 and HUI3) one week and one, three, six, and twelve months after injury. Patient and trauma characteristics were analysed as prognostic factors with linear mixed models. The effect of each prognostic factor over time was analysed by adding the interaction term between the prognostic factor and time point in a multivariable linear mixed model, adjusted for confounders. Additionally, the risk factors for problems in the EQ-5 dimensions of HS and cognition were analysed.

Results

In total 239 severely injured patients participated. Pre-injury health status, hospital length of stay, ISS and comorbidities were significant prognostic factors for a lower health status. A younger age and extremity injury were prognostic factors for a lower health status until one month after trauma and unemployment before trauma and comorbidities six until twelve months after trauma. In the EQ-5 dimensions 44.1% remained problems in mobility, 15.3% in self-care, 46.4% in activity, 53.3% in pain, 32.5% in anxiety and 35.7% in cognition.

Conclusions

Lower pre-injury health status, longer hospital length of stay, higher ISS, and comorbidities were significant prognostic factors for a lower health status during one year after a severe injury. A younger age and an extremity injury were short-term prognostic factors and unemployment before trauma and comorbidities were long-term prognostic factors. Even after twelve months patients in our population reported more problems in all EQ-5D dimensions when compared to the Dutch reference population.

SUBMITTER: Havermans RJM

PROVIDER: S-EPMC7169038 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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Publications

Longitudinal analysis of health status the first year after trauma in severely injured patients.

Havermans Roos Johanna Maria RJM de Jongh Mariska Adriana Cornelia MAC de Munter Leonie L Lansink Koen Willem Wouter KWW

Scandinavian journal of trauma, resuscitation and emergency medicine 20200420 1

<h4>Purpose</h4>While survival rates after a trauma are increasing a considerable part of the trauma population are still at risk for both short and long term disabilities. Little is known about prognostic factors over time after a severe trauma. The aim of the present prospective cohort study was to examine trauma and patient related prognostic factors for a lower health status over time after a severe trauma.<h4>Methods</h4>A multicentre prospective observational cohort study was conducted. Ad ...[more]

PMID: 32312282

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Project description:Trauma is the leading cause of potential years of life lost before age 65 years in the United States. Timely care in a designated trauma center has been shown to reduce mortality by 25%. However, many severely injured patients are not transferred to trauma centers after initially being seen at non–trauma center emergency departments (EDs).To determine patient-level and hospital-level factors associated with the decision to admit rather than transfer severely injured patients who are initially seen at non–trauma center EDs and to ascertain whether insured patients are more likely to be admitted than transferred compared with uninsured patients.Retrospective analysis of the 2009 Nationwide Emergency Department Sample. We included all ED encounters for major trauma (Injury Severity Score, >15) seen at non–trauma centers in patients aged 18 to 64 years. We excluded ED discharges and ED deaths. We quantified the absolute risk difference between admission vs transfer by insurance status, while adjusting for age, sex, mechanism of injury, Injury Severity Score, weekend admission and month of visit, and urban vs rural status and median household income of the home zip code, as well as annual ED visit volume and teaching status and US region.Inpatient admission vs transfer to another acute care facility.In 2009, a total of 4513 observations from 636 non–trauma center EDs were available for analysis, representing a nationally weighted population of 19,312 non–trauma center ED encounters for major trauma. Overall, 54.5% in 2009 were admitted to the non–trauma center. Compared with patients without insurance, the adjusted absolute risk of admission vs transfer was 14.3% (95% CI, 9.2%-19.4%) higher for patients with Medicaid and 11.2% (95% CI, 6.9%-15.4%) higher for patients with private insurance. Other factors associated with admission vs transfer included severe abdominal injuries (risk difference, 15.9%; 95% CI, 9.4%-22.3%), urban teaching hospital vs non–teaching hospital (risk difference, 26.2%; 95% CI, 15.2%-37.2%), and annual ED visit volume (risk difference, 3.4%; 95% CI, 1.6%-5.3% higher for every additional 10,000 annual ED visits).Patients with severe injuries initially evaluated at non–trauma center EDs were less likely to be transferred if insured and were at risk of receiving suboptimal trauma care. Efforts in monitoring and optimizing trauma interhospital transfers and outcomes at the population level are warranted.

Dataset Information

Longitudinal analysis of health status the first year after trauma in severely injured patients.

Purpose

Methods

Results

Conclusions

Publications

Longitudinal analysis of health status the first year after trauma in severely injured patients.

Similar Datasets

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