- Research note
- Open Access
Clinical profile and comorbidity of traumatic brain injury among younger and older men and women: a brief research notes
© The Author(s) 2017
- Received: 17 April 2017
- Accepted: 22 July 2017
- Published: 8 August 2017
Comorbid disorders influence the course and outcomes of rehabilitation following traumatic brain injury (TBI), yet sex- and age-related disparities in the frequency distribution of these disorders remain poorly understood. We aimed to describe comorbid disorders by the International Classification of Diseases in patients with TBI undergoing inpatient rehabilitation in Ontario, Canada over a 3-year period, by sex and age, and discuss their potential impact on rehabilitation outcomes.
The percentage of TBI patients with one or more comorbid disorder is higher among older (≥65 years) men and women than among those who are younger or middle-aged (<65 years). Among younger and middle-aged patients, multiple injuries and trauma, mental health conditions, and nervous system disorders were the most prevalent comorbidities. In older patients, circulatory, endocrine, nutritional, metabolic, and immune disorders were the most prevalent comorbidities. Our results suggest that a multisystem view of rehabilitation of men and women with TBI across age categories is needed to reflect the complex clinical profile of TBI patients undergoing rehabilitation.
- Traumatic brain injury
- Inpatient rehabilitation
- Index disease
Traumatic brain injury (TBI), defined as “a traumatically induced structural injury and/or physiological disruption of brain function as a result of an external force” , remains a significant public health issue [2, 3]. Recent initiatives in TBI care highlight the complexity of its clinical management, and recommend that an assessment of co-existing (comorbid) disorders be included . “Comorbidity” refers to any disease co-existing with an index disease ; it can alter the clinical course of patients by affecting selections of healthcare services and outcomes [6, 7]. While previous population-based research from United States and Canada [8–12] has documented comorbidities in TBI, there has been no comprehensive description of sex- and age- specific clinical nosologies for TBI patients entering inpatient rehabilitation. Historically, TBI has been regarded as an injury mostly affecting young males . However, recent epidemiological trends highlight older females being as frequently affected as males, largely as a result of falls . Because many diseases affecting males and females have different frequencies and presentations across their lifespan [14, 15], understanding the variability of comorbidity in rehabilitation [12, 14, 15] will likely lead to a still greater recognition of the unique sex-specific facets of TBI [16, 17]. Therefore, the aims of this study were to: (1) describe comorbidity frequencies (along the spectrum of disorders) in younger and older patients, by sex; (2) assess possible sex differences in comorbid disorder frequencies; and (3) offer an evidence-based discussion of the clinical relevance of the most frequent comorbidity in TBI.
This population-based retrospective cohort study included all patients admitted to inpatient rehabilitation facilities in Ontario, Canada between the fiscal years 2004/05 and 2007/08. Data from all acute care inpatient rehabilitation units and freestanding rehabilitation hospitals were obtained from the National Rehabilitation Reporting System (NRS) . To assess sociodemographic variables, we analyzed primary language (English versus other) and sex (male versus female). The FIM™ Instrument assessed patients’ physical and cognitive ability, with total scores ranging from 18 to 126, motor scores ranging from 13 to 91 whereas the cognitive scores ranging from 5 to 35, where lower scores represent ‘total dependence’ and higher scores ‘total independence’ . The length of stay (LOS) represents the number of days between admission and discharge, serving as a proxy for injury severity and comorbidity load . Assessed comorbid categories and subcategories are listed in Additional file 1: Appendix S1.
We described continuous data with means and standard deviation, or medians and ranges, and categorical data with frequency counts. Depending on the type of data, we used t tests for binary continuous variables, Chi square tests when analyzing differences between comorbidity categories in both sexes, and the Fisher’s exact test when the expected value of any cell of a contingency table was below five. Separate analyses were conducted for younger (<65 years old) and older (≥65 years old) adults. To address the likelihood of multiple comparison fallacy, we used the Bonferroni method. Two-sided p values of <0.05 were considered statistically significant. All analyses were performed using SAS v. 9.1 (SAS Institute, Cary, NC).
Descriptive characteristics of TBI patients in inpatient rehabilitation
Total (N = 1791)
0–64 years (N = 1164)
65+ years (N = 627)
N = 1257 (70.2%)
N = 534 (29.8%)
N = 898 (77.1%)
N = 266 (22.9%)
N = 359 (57.3%)
N = 268 (42.7%)
50.1 ± 20.9
59.8 ± 21.8
39.5 ± 14.3
41.2 ± 14.4
76.5 ± 6.7
78.3 ± 7.2
1+ comorbid condition; admissiona
1+ comorbid condition; dischargea
Length of stay (days)
48.8 ± 50.8
Q2 = 37
45.4 ± 40.8
Q2 = 36
54.0 ± 56.5
Q2 = 41.5
56.4 ± 48.5
Q2 = 45
35.9 ± 28.7
Q2 = 31
34.5 ± 27.5
Q2 = 28
Total function score, FIM™ instrument; admit
83.1 ± 28.1
Q2 = 90
78.4 ± 25.9
Q2 = 83
84.9 ± 29.5
Q2 = 94
79.3 ± 29.3
Q2 = 87
78.6 ± 23.5
Q2 = 83
77.4 ± 22.1
Q2 = 80
Total function score, FIM™ instrument; discharge
104.2 ± 24.2
Q2 = 114
101.1 ± 24.7
Q2 = 110
105.9 ± 24.5
Q2 = 116
104.1 ± 25.8
Q2 = 114
99.9 ± 22.8
Q2 = 108
98.0 ± 23.0
Q2 = 106
Total motor rating, FIM™ instrument; admit
60.3 ± 23.8
Q2 = 65
54.9 ± 21.6
Q2 = 56
62.8 ± 24.8
Q2 = 70
57.2 ± 24.4
Q2 = 62
54.1 ± 19.6
Q2 = 56
52.6 ± 18.2
Q2 = 53
Total motor rating, FIM™ instrument; discharge
77.2 ± 19.5
Q2 = 86
74.1 ± 19.6
Q2 = 81
78.9 ± 19.7
Q2 = 88
76.8 ± 20.6
Q2 = 85
72.9 ± 18.2
Q2 = 80
71.2 ± 18.1
Q2 = 78
Total cognitive Rating, FIM™ instrument; admit
22.8 ± 7.8
Q2 = 24
23.5 ± 7.7
Q2 = 24
22.1 ± 7.8
Q2 = 23
22.1 ± 8.0
Q2 = 23
24.6 ± 7.5
Q2 = 25
24.8 ± 7.2
Q2 = 25
Total cognitive rating, FIM™ instrument; discharge
27.2 ± 6.7
Q2 = 29
27.2 ± 6.8
Q2 = 29
27.2 ± 6.7
Q2 = 29
27.3 ± 6.8
Q2 = 29
27.1 ± 6.8
Q2 = 28
27.1 ± 6.8
Q2 = 29
0.6 ± 1.0
0.7 ± 0.9
0.5 ± 0.9
0.6 ± 0.6
0.9 ± 1.0
0.8 ± 1.1
The most common comorbidities among male patients, regardless of age, were disorders of multiple injury and trauma (40.6%), the circulatory system (34.5%), mental health (31.8%), and the nervous system (29.8%). Among female patients, regardless of age, the most common comorbidities related to the circulatory system (50.4%), multiple injury and trauma (39.7%), the nervous system (35.0%), and the musculoskeletal system (32.8%).
A significantly higher percentage of females than males experienced conditions of the endocrine, nutrition, metabolism, and immune systems (p < 0.001), the circulatory system (p < 0.001), and the musculoskeletal system (p < 0.001).
Results stratified by age
The most common comorbidities in younger patients of both sexes included multiple injury and trauma (45.9% male; 47.8% female); mental health (34.1%, male; 28.6% female); and the nervous system (29.0% male; 33.1% female). Younger female patients more frequently experienced comorbidities related to symptoms, signs, and ill-defined conditions (i.e., chapter 18 of the ICD-10, which includes symptoms, signs, abnormal results of clinical/investigative procedures, and ill-defined conditions regarding which no diagnosis is recorded) compared to males (p < 0.001).
In older patients, circulatory system comorbidities were the most common in both sexes. In older men, comorbidities of the endocrine, nutrition, metabolism, and immune systems (37.6%); the nervous system (32.0%); and injury and trauma (27.3%) were common. Older female patients experienced more frequent comorbid conditions of the musculoskeletal system (45.9%); and endocrine, nutrition, metabolism, and immune systems (43.7%). A significantly higher proportion of older females had musculoskeletal conditions compared to older males (p < 0.001).
Most previous studies on TBI comorbidity that employed pre-defined checklist or ICD classification codes of comorbid disorders identified increased comorbidity frequencies in TBI patient populations across continuum of care and age [8–12]. Our study’s methodological novelty lies in the comparison of population-derived data for each comorbid disorder in TBI by sex within younger and older age categories. Although our results generally confirmed those of earlier reports (high prevalence of cardiovascular pathology , psychiatric/behavioural disorders [8, 12], musculoskeletal disorders , substance use disorders [10–12], etc.), we generated a qualitatively enriched comorbidity profile that includes (1) details on the magnitude of comorbidity prevalence in patients with TBI undergoing rehabilitation, (2) sex differences in the comorbidity across age categories, and (3) specificity of age-dependent comorbidity in TBI. By positioning our results in light of previous research on age- and sex specific comorbidity, we were able to highlight comorbid disorders of high relevance to TBI patients undergoing rehabilitation, and shed light on how age and sex may account for the observed results.
Musculoskeletal system comorbidities were observed more frequently in female patients than in male patients, regardless of age. This is unsurprising: osteoarthritis, one of the most commonly occurring disorders within this category, is more prevalent in females . An earlier study reported that 37% of community-dwelling older adults have arthritis, and the causality of this comorbid condition and TBIs, especially in older women resulted from falls, should be considered [21, 22].
The high frequency of nervous system disorders we observed is consistent with previous studies [5, 8–11]. Chen and colleagues reported an increased stroke risk in individuals with TBI, with a 10-fold higher risk at 3 months post-injury . Because stroke is a highly disabling condition, this relationship demonstrates the need for significant attention and care. Similarly, in a population-based study by Macciocchi and colleagues, 60% of patients with a traumatic spinal cord injury had a co-occurring TBI . Paraplegic patients with severe TBI had lower FIM™ motor scores and a longer LOS in rehabilitation, compared to those without TBI or mild TBI . Additional injury to the peripheral nerves occurs in approximately 34% of patients with severe TBI . As the symptoms of neuropathy are similar to those of the central nervous system disorders, diagnoses and interventions should be assigned with care.
Like reported in earlier studies, mental health disorders are prevalent. In individuals with mild or moderate/severe TBI, an increased prevalence of 34 and 49% respectively, for any psychiatric condition has been reported during the first year post-injury . Affective disorders are associated with poor functional outcomes . An increased risk of psychosis has been reported in patients with moderate to severe head injuries, with age at injury having no effect on the magnitude of risk . Arciniegas and colleagues reported that male patients are at a greater risk of developing psychosis following TBI, compared to females . Psychosis is a potential confounder of TBI diagnosis, and is therefore relevant to rehabilitation.
Circulatory system disorders after brain injury, specifically neurogenic cardiovascular abnormalities, have been linked to increased morbidity and mortality . TBI is reported to trigger biochemical events by altering cerebral blood flow, which has been associated with poorer neurological outcomes . Researchers reported that even mild TBI is associated with the presence and severity of coronary atherosclerosis and predicts cardiovascular mortality independent of age, sex and other risk factors . Therefore, a comprehensive stratification of risk and circulatory system disorder management in TBI patients undergoing inpatient rehabilitation are needed.
Metabolic disorders are more prevalent in older patients compared to their younger counterparts. In a study of patients with moderate to severe TBI, those with diabetes mellitus had a significantly longer hospital stay and higher mortality rate than those without . Clinical malnutrition, a notable comorbidity, has been associated with outcomes following severe TBI 6 months post-injury, independent of the Glasgow Coma Scale score . Neuroendocrine dysfunction is prevalent in approximately two-thirds of people with TBI. Having been shown to result in a complex cascade of pathophysiological and neurochemical events, TBI concerns adversities towards both recovery and stress level, and therefore warrants attention [36, 37]. Disruption of neural connections between the cerebral cortex and the brainstem due to TBI frequently impairs bladder control . This is consistent with the high rate of genitourinary comorbidities in older males and females in our study. Common ill-defined symptoms following TBI involve sleep, pain, apathy, and fatigue, often at higher rates than those observed in the general population . These symptoms can impede rehabilitation by reducing effectiveness and compliance with treatment, and increasing the LOS.
Our study has a number of strengths. Our effort encompassed inclusive adult inpatient population with TBI over a 3-year period. This is the greatest advance over earlier research on the topic of comorbidity, as the NRS includes all data from rehabilitation hospitals from a publicly funded system of care where reporting inpatient rehabilitation data is mandatory. In addition, the use of standardized coding makes our findings more accurate than those based on self-reported data.
In conclusion, our study illustrates that patients have complex comorbidities during rehabilitation, a reality which must be addressed. To develop patient-oriented rehabilitation programs and support clinical decisions, further characterization of comorbidity in TBI in relation to patient-related and system-related outcomes is warranted. In addition, more advanced statistical methodologies that allow modeling of complex interactions of comorbid disorder clusters, starting at the time of injury event, has enormous potential for advancing our understanding of one of the most complex injury, TBI. Finally, because female patients represented a smaller proportion of rehabilitation service users in both younger and older age categories, but more frequently exhibited one or more comorbid disorders in inpatient rehabilitation compared to that of male patients, it is crucial to consider sex inequalities and vulnerabilities when designating resources.
Information such as acute management of TBI was not available in the NRS; significant limitation because acute care narrates to characteristics of patients entering rehabilitation.
We utilized the earliest NRS dataset using ICD-10 codes to capture TBI and comorbidity; a future study is planned to determine whether the past decade has seen a change in the frequency distribution of TBI and comorbidity in males and females across age categories.
We utilized age 65 for defining “old” because of many legislative and healthcare services use this cut-off score; future study should utilize smaller age categories to determine which comorbid disorders are important in the test of age-related hypotheses.
Study concept and design: all authors. Acquisition of data: VC. Analysis and interpretation of data: all authors. Drafting of the manuscript: TM, VC. Critical revision of the manuscript for important intellectual content: all authors. Statistical analysis: VC. Administrative, technical, and material support: VC. Study supervision: AC, KJO. All authors read and approved the final manuscript.
We gratefully acknowledge the contributions of Chen Xiong for his help with editing the manuscript and Shirin Mollayeva for building a figure.
The authors declare that they have no competing interests.
Ethics approval and consent to participate
The Toronto Rehabilitation Institute–University Health Network’ (TRI–UHN) Research Ethics Board, approved this study. The study involved analysis of existed health service use database; consent to participate-not applicable.
Consent to publish
All authors reviewed the final results and agreed the results to be submitted to BMC Research Notes.
Availability of data and materials
The data is stored at the secure disk at the TRI–UHN. The administrative healthcare dataset that we have used in this study cannot be deposited in publicly available repositories; this reflects the Ministry of Health policy in place to protect the privacy of individual Ontarians and maintain the confidentiality of their information.
Research reported in this publication was supported by the Eunice Kennedy Shriver National Institute of Child Health & Human Development of the National Institutes of Health under Award Number R21HD089106 and the NIH Research Award 1R21 HD08106-01. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
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