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1.
J Neurotrauma ; 34(17): 2575-2581, 2017 09.
Article in English | MEDLINE | ID: mdl-28447873

ABSTRACT

The objective of this prospective cohort study was to evaluate the probability of employment and predictors of employment in patients with moderate- to- severe traumatic brain injury (TBI) over 10-year follow-up. One hundred nine patients (18-67 years) were included with follow-up measurements 3, 6, 12, 18, 24, and 36 months and 10 years post-TBI. Potential predictors of employment probability included patient characteristics, injury severity factors, functional outcome measured at discharge from the hospital with the Glasgow Outcome Scale (GOS), Barthel Index (BI), Functional Independence Measure (FIM), and the Functional Assessment Measure (FAM). Forty-eight patients (42%) completed the 10-year follow-up. Three months post-TBI, 12% were employed, which gradually, but significantly, increased to 57% after 2-years follow-up (p < 0.001), followed by a significant decrease to 43% (p = 0.041) after 10 years. Ten years post-TBI, we found that employed persons had less-severe TBI, shorter length of hospital stay (LOS), and higher scores on the GOS, BI, FIM, and FAM at hospital discharge than unemployed persons. No significant differences in age, sex, educational level, living with partner/family or not, pre-injury employment, professional category, psychiatric symptoms, or discharge destination were found. Longitudinal multivariable analysis showed that time, pre-injury employment, FAM, and LOS were independent predictors of employment probability. We concluded that employment probability 10 years after moderate or severe TBI is related to injury severity and pre-injury employment. Future studies on vocational rehabilitation should focus on modifiable factors and take into consideration the effects of national legislation and national labor market forces.


Subject(s)
Brain Injuries, Traumatic , Employment/statistics & numerical data , Outcome Assessment, Health Care/statistics & numerical data , Severity of Illness Index , Trauma Severity Indices , Adolescent , Adult , Aged , Brain Injuries, Traumatic/diagnosis , Brain Injuries, Traumatic/epidemiology , Brain Injuries, Traumatic/physiopathology , Brain Injuries, Traumatic/therapy , Female , Follow-Up Studies , Humans , Male , Middle Aged , Netherlands/epidemiology , Young Adult
2.
Neurocrit Care ; 19(1): 79-89, 2013 Aug.
Article in English | MEDLINE | ID: mdl-23138545

ABSTRACT

BACKGROUND: With this study we aimed to design validated outcome prediction models in moderate and severe traumatic brain injury (TBI) using demographic, clinical, and radiological parameters. METHODS: Seven hundred consecutive moderate or severe TBI patients were included in this observational prospective cohort study. After inclusion, clinical data were collected, initial head computed tomography (CT) scans were rated, and at 6 months outcome was determined using the extended Glasgow Outcome Scale. Multivariate binary logistic regression analysis was applied to evaluate the association between potential predictors and three different outcome endpoints. The prognostic models that resulted were externally validated in a national Dutch TBI cohort. RESULTS: In line with previous literature we identified age, pupil responses, Glasgow Coma Scale score and the occurrence of a hypotensive episode post-injury as predictors. Furthermore, several CT characteristics were associated with outcome; the aspect of the ambient cisterns being the most powerful. After external validation using Receiver Operating Characteristic (ROC) analysis our prediction models demonstrated adequate discriminative values, quantified by the area under the ROC curve, of 0.86 for death versus survival and 0.83 for unfavorable versus favorable outcome. Discriminative power was less for unfavorable outcome in survivors: 0.69. CONCLUSIONS: Outcome prediction in moderate and severe TBI might be improved using the models that were designed in this study. However, conventional demographic, clinical and CT variables proved insufficient to predict disability in surviving patients. The information that can be derived from our prediction rules is important for the selection and stratification of patients recruited into clinical TBI trials.


Subject(s)
Brain Injuries/diagnostic imaging , Brain Injuries/mortality , Glasgow Coma Scale , Tomography, X-Ray Computed/methods , Tomography, X-Ray Computed/standards , Adult , Aged , Female , Humans , Male , Middle Aged , Predictive Value of Tests , Prognosis , Prospective Studies , ROC Curve , Survivors , Trauma Severity Indices , Treatment Outcome , Young Adult
3.
Arch Phys Med Rehabil ; 93(6): 993-9, 2012 Jun.
Article in English | MEDLINE | ID: mdl-22502806

ABSTRACT

OBJECTIVES: To evaluate the employment outcome in patients with moderate to severe traumatic brain injury (TBI) and to identify which patients are at risk of unemployment 3 years after injury. DESIGN: Prospective cohort study. SETTING: Patients with moderate and severe TBI discharged from the neurosurgery departments of 3 level 1 trauma centers in The Netherlands. PARTICIPANTS: Patients aged 18 to 65 years (N=113; mean age ± SD, 33.2±13.1y; 73% men) who were hospitalized with moderate (26% of patients) to severe (74% of patients) TBI. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: The main outcome measure was employment status. Potential predictors included patient characteristics, injury severity factors, functional outcome measured at discharge from the acute hospital with the Glasgow Outcome Scale (GOS), Barthel Index (BI), and FIM, and cognitive functioning measured with the Functional Assessment Measure (FAM). RESULTS: Ninety-four patients (83%) completed the 3-year follow-up. The employment rate dropped from 80% preinjury to 15% at 3 months postinjury and gradually increased to 55% after 3 years. The employment rate significantly increased from 3 months up to 1 year, but it did not change significantly from 1 to 3 years postinjury. Age, length of hospital stay, discharge to a nursing home (vs home), psychiatric symptoms, and BI, GOS, FIM, and FAM scores were found to be significant univariate determinants for employment status. By using multiple logistic regression analysis, the FAM score (adjusted odds ratio 1.1; P<.000) and psychiatric symptoms (adjusted odds ratio .08; P<.019) were selected as independent predictors for employment status. A FAM cutoff score of less than 65 to identify patients at risk of long-term unemployment had a good diagnostic value. CONCLUSIONS: Patients with TBI with psychiatric symptoms and impaired cognitive functioning at hospital discharge are at the highest risk of long-term unemployment. These factors should be the focus of vocational rehabilitation.


Subject(s)
Brain Injuries/diagnosis , Brain Injuries/rehabilitation , Employment/statistics & numerical data , Rehabilitation, Vocational/methods , Adolescent , Adult , Aged , Analysis of Variance , Cognition Disorders/diagnosis , Cognition Disorders/rehabilitation , Cohort Studies , Depression/diagnosis , Depression/rehabilitation , Female , Follow-Up Studies , Glasgow Coma Scale , Humans , Injury Severity Score , Logistic Models , Male , Middle Aged , Multivariate Analysis , Netherlands , Neuropsychological Tests , Predictive Value of Tests , Prospective Studies , ROC Curve , Recovery of Function , Rehabilitation Centers , Risk Assessment , Sickness Impact Profile , Time Factors , Young Adult
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