scholarly journals Long-term survival and five year hospital resource usage following traumatic brain injury in scotland from 1997-2015: A population-based retrospective cohort study

2018 ◽  
Vol 55 ◽  
pp. S75
Author(s):  
J. Loan ◽  
N. Scott ◽  
J. Jansen
2019 ◽  
Vol 90 (3) ◽  
pp. e14.2-e14
Author(s):  
JJM Loan ◽  
NW Scott ◽  
JO Jansen

AimTo determine if survival and hospital resource usage differ following traumatic brain injury (TBI) compared with head injury without neurological injury(HI).MethodsThis retrospective population-based cohort study included all 25 319 patients admitted to a Scottish NHS hospital from 1997–2015 with TBI. Participants were identified using previously validated ICD-10 based definitions. For comparison, all 194 049 HI cases were identified. Our main outcome measures were hazards of all-cause mortality after TBI, compared with HI, over 18 years follow-up period; and odds of mortality at one month post-injury. Number of days spent as inpatients and number of outpatient attendances per surviving month post-injury were used as measures of resource utilisation.ResultsThe adjusted odds ratio for mortality in the first month post-injury for TBI was 7.12 (95% confidence interval [CI] 6.73–7.52; p<0.001). For the remaining 18 year study period, the hazards of morality after TBI were 0.93 (CI 0.90–0.96; p<0.001). TBI was associated with 2.15 (CI 2.10–2.20; p<0.001) more days spent as inpatient and 1.09 times more outpatient attendances (CI 1.07–1.11; p<0.001) than HI.ConclusionsAlthough initial mortality following TBI is high, survivors of the first month can achieve comparable long-term survival to HI. However this is associated with increased utilisation of hospital services in the TBI group.


PLoS ONE ◽  
2014 ◽  
Vol 9 (2) ◽  
pp. e89208 ◽  
Author(s):  
Chun-Chuan Shih ◽  
Yi-Ting Hsu ◽  
Hwang-Huei Wang ◽  
Ta-Liang Chen ◽  
Chin-Chuan Tsai ◽  
...  

2018 ◽  
Vol 5 (5) ◽  
pp. 424-431 ◽  
Author(s):  
Jesse R Fann ◽  
Anette Riisgaard Ribe ◽  
Henrik Schou Pedersen ◽  
Morten Fenger-Grøn ◽  
Jakob Christensen ◽  
...  

2016 ◽  
Vol 47 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Gordon W. Fuller ◽  
Jeanine Ransom ◽  
Jay Mandrekar ◽  
Allen W. Brown

Background: Long-term mortality may be increased following traumatic brain injury (TBI); however, the degree to which survival could be reduced is unknown. We aimed at modelling life expectancy following post-acute TBI to provide predictions of longevity and quantify differences in survivorship with the general population. Methods: A population-based retrospective cohort study using data from the Rochester Epidemiology Project (REP) was performed. A random sample of patients from Olmsted County, Minnesota with a confirmed TBI between 1987 and 2000 was identified and vital status determined in 2013. Parametric survival modelling was then used to develop a model to predict life expectancy following TBI conditional on age at injury. Survivorship following TBI was also compared with the general population and age- and gender-matched non-head injured REP controls. Results: Seven hundred and sixty nine patients were included in complete case analyses. The median follow-up time was 16.1 years (interquartile range 9.0-20.4) with 120 deaths occurring in the cohort during the study period. Survival after acute TBI was well represented by a Gompertz distribution. Victims of TBI surviving for at least 6 months post-injury demonstrated a much higher ongoing mortality rate compared to the US general population and non-TBI controls (hazard ratio 1.47, 95% CI 1.15-1.87). US general population cohort life table data was used to update the Gompertz model's shape and scale parameters to account for cohort effects and allow prediction of life expectancy in contemporary TBI. Conclusions: Survivors of TBI have decreased life expectancy compared to the general population. This may be secondary to the head injury itself or result from patient characteristics associated with both the propensity for TBI and increased early mortality. Post-TBI life expectancy estimates may be useful to guide prognosis, in public health planning, for actuarial applications and in the extrapolation of outcomes for TBI economic models.


PLoS ONE ◽  
2012 ◽  
Vol 7 (11) ◽  
pp. e49113 ◽  
Author(s):  
Pin-Liang Chen ◽  
Wei-Ju Lee ◽  
Wei-Zen Sun ◽  
Yen-Jen Oyang ◽  
Jong-Ling Fuh

2017 ◽  
Vol 9 (8) ◽  
pp. 427 ◽  
Author(s):  
Sven Pischke ◽  
Marie C Lege ◽  
Moritz von Wulffen ◽  
Antonio Galante ◽  
Benjamin Otto ◽  
...  

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