Characteristics and outcome of severe traumatic brain injuries based on occupational status

Purpose The association of TBI with socioeconomic characteristics of patients has not been studied extensively. The objective of this study was to analyse the differences in injury characteristics and outcome in TBI patients based on their occupational status. Methods Data on patients from 13 centre...

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Veröffentlicht in:European journal of trauma and emergency surgery (Munich : 2007) 2021-12, Vol.47 (6), p.2035-2041
Hauptverfasser: Plancikova, Dominika, Leitgeb, Johannes, Brazinova, Alexandra, Melichova, Juliana, Sivco, Patrik, Nemcovska, Eva, Pekarcikova, Jarmila, Majdan, Marek
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container_end_page 2041
container_issue 6
container_start_page 2035
container_title European journal of trauma and emergency surgery (Munich : 2007)
container_volume 47
creator Plancikova, Dominika
Leitgeb, Johannes
Brazinova, Alexandra
Melichova, Juliana
Sivco, Patrik
Nemcovska, Eva
Pekarcikova, Jarmila
Majdan, Marek
description Purpose The association of TBI with socioeconomic characteristics of patients has not been studied extensively. The objective of this study was to analyse the differences in injury characteristics and outcome in TBI patients based on their occupational status. Methods Data on patients from 13 centres based in Austria, Croatia, Slovakia, Bosnia and Herzegovina, and Macedonia were included in the analysis. Demographic characteristics, injury characteristics, treatment and outcome at various post-injury stages were compared according to occupational status. Logistic regression was used to adjust for the effect of co-variates. ICU mortality, hospital mortality, 6 months mortality, and outcome at 6 months were used as dependent variables. Results Overall, 886 patients were analysed with a mean age of 45.5 years. High-level falls were most prevalent in the blue-collar group (19%), most low-level falls occurred in the retired group. Traffic accidents were most common in students. The injuries were most severe in the blue-collar group and students. Highest mortalities and unfavourable outcomes were in the retired, students and white-collar workers had the best outcomes. Compared to retired patients, all groups had higher odds of favourable outcome at 6 months after adjusting for co-variates—OR from 2.2 (95% CI 1.1–4.6) for entrepreneurs to 3.6 (95% CI 1.8–7.2) for the blue-collar group. Conclusion Our paper provides clues pertaining specifically to variations in patterns and outcomes of TBI according to occupational status which can inform prevention and planning of services and can serve to plan priorities for further research.
doi_str_mv 10.1007/s00068-020-01372-7
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The objective of this study was to analyse the differences in injury characteristics and outcome in TBI patients based on their occupational status. Methods Data on patients from 13 centres based in Austria, Croatia, Slovakia, Bosnia and Herzegovina, and Macedonia were included in the analysis. Demographic characteristics, injury characteristics, treatment and outcome at various post-injury stages were compared according to occupational status. Logistic regression was used to adjust for the effect of co-variates. ICU mortality, hospital mortality, 6 months mortality, and outcome at 6 months were used as dependent variables. Results Overall, 886 patients were analysed with a mean age of 45.5 years. High-level falls were most prevalent in the blue-collar group (19%), most low-level falls occurred in the retired group. Traffic accidents were most common in students. The injuries were most severe in the blue-collar group and students. Highest mortalities and unfavourable outcomes were in the retired, students and white-collar workers had the best outcomes. Compared to retired patients, all groups had higher odds of favourable outcome at 6 months after adjusting for co-variates—OR from 2.2 (95% CI 1.1–4.6) for entrepreneurs to 3.6 (95% CI 1.8–7.2) for the blue-collar group. 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The objective of this study was to analyse the differences in injury characteristics and outcome in TBI patients based on their occupational status. Methods Data on patients from 13 centres based in Austria, Croatia, Slovakia, Bosnia and Herzegovina, and Macedonia were included in the analysis. Demographic characteristics, injury characteristics, treatment and outcome at various post-injury stages were compared according to occupational status. Logistic regression was used to adjust for the effect of co-variates. ICU mortality, hospital mortality, 6 months mortality, and outcome at 6 months were used as dependent variables. Results Overall, 886 patients were analysed with a mean age of 45.5 years. High-level falls were most prevalent in the blue-collar group (19%), most low-level falls occurred in the retired group. Traffic accidents were most common in students. The injuries were most severe in the blue-collar group and students. 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The objective of this study was to analyse the differences in injury characteristics and outcome in TBI patients based on their occupational status. Methods Data on patients from 13 centres based in Austria, Croatia, Slovakia, Bosnia and Herzegovina, and Macedonia were included in the analysis. Demographic characteristics, injury characteristics, treatment and outcome at various post-injury stages were compared according to occupational status. Logistic regression was used to adjust for the effect of co-variates. ICU mortality, hospital mortality, 6 months mortality, and outcome at 6 months were used as dependent variables. Results Overall, 886 patients were analysed with a mean age of 45.5 years. High-level falls were most prevalent in the blue-collar group (19%), most low-level falls occurred in the retired group. Traffic accidents were most common in students. The injuries were most severe in the blue-collar group and students. Highest mortalities and unfavourable outcomes were in the retired, students and white-collar workers had the best outcomes. Compared to retired patients, all groups had higher odds of favourable outcome at 6 months after adjusting for co-variates—OR from 2.2 (95% CI 1.1–4.6) for entrepreneurs to 3.6 (95% CI 1.8–7.2) for the blue-collar group. 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subjects Accidental Falls
Accidents, Traffic
Blue collar workers
Brain Injuries
Brain Injuries, Traumatic - epidemiology
Brain Injuries, Traumatic - therapy
Clinical outcomes
Critical Care Medicine
Emergency Medicine
Employment
Epidemiology
Falls
Humans
Intensive
Medicine
Medicine & Public Health
Middle Aged
Mortality
Occupational choice
Original
Original Article
Retirement
Sociodemographics
Sports Medicine
Students
Surgery
Surgical Orthopedics
Traumatic brain injury
Traumatic Surgery
White collar workers
title Characteristics and outcome of severe traumatic brain injuries based on occupational status
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