Abstract
Objective:
To determine whether severities of head and extra-cranial injuries (ECI) were associated with suicidal ideation (SI) or suicide attempt (SA) after traumatic brain injury (TBI).
Design:
Factors associated with SI and SA were assessed in this inception cohort study using data collected 1, 2, and 5 years post-TBI from the National Trauma Databank (NTDB) and TBI model system (TBI-MS) databases.
Setting:
Level I Trauma, Inpatient Rehabilitation Centers, the community
Participants:
3,575 participants with TBI from 15 TBI-MS Centers with linked NTDB trauma data.
Interventions:
Not applicable.
Main Outcome Measures(s):
SI was measured via the Patient Health Questionnaire 9 (PHQ-9, question #9). SA in the past year was assessed via interview. ECI was measured by Injury Severity Scale (non-head) and categorized as none, mild, moderate, and severe.
Results:
293 (8.2%) participants had SI without SA and 109 (3.0%) had SA at least once in the first 5 years post-injury. Random effects logit modeling showed a higher likelihood of SI when ECI was severe (OR: 2.730; 95%CI: 1.55–4.82, p=0.001). Drug use at time of injury was also associated with SI (OR: 1.69; 95%CI: 1.11–2.86; p=0.015). Severity of ECI was not associated with SA.
Conclusions:
Severe ECI carried a nearly 3-fold increase in the odds of SI after TBI, but was not related to SA. Head injury severity and less severe ECI were not associated with SI or SA. These findings warrant additional work to identify factors associated with severe ECI that make individuals more susceptible to SI after TBI.
Keywords: Brain injuries; Suicidal ideation; Suicide, attempted; Polytrauma; Injury severity score
Introduction
Individuals with traumatic brain injury (TBI) are 3–4 times more likely to die as a result of suicide as compared to the general population.1 TBI survivors also have a high rate of suicidal ideation (SI), which is known to carry a 5-fold increase in the risk of suicide attempt (SA), and these risks persist for up to 15 years after TBI.2,3 Many of the risk factors for suicidality (a broader term used to incorporate both suicidal ideation and attempt) in non-injured populations overlap with chronic sequelae of TBI, including aggression, poor cognitive inhibition, poor problem-solving, reduced ability to benefit from predominantly verbal counseling interventions, impulsive behavior, substance abuse, and psychiatric disorders like major depression.3–7 Veterans with the polytrauma clinical triad of posttraumatic stress disorder, TBI, and chronic pain have significantly increased odds of suicidality, particularly in the setting of substance abuse.8 While chronic pain is common after TBI, its role in both SI and SA seems to be related more to an individual’s perception or acceptance of pain, rather than pain severity,9 which is in turn associated with disability,10 an additional known risk factor for suicidality.11,12 Severity of TBI has not been linked consistently to depression or risk of suicidality,7,13,14 but other injury-related factors, such as severity of extra-cranial injury (ECI), that may lead to both increased distress and greater disability, have not been assessed in previous studies.
March et al. (2014) reported that adults with unintentional major traumatic injuries, indicated by total Injury Severity Scores (ISS) >12 (combined head and extra-cranial ISS), have over four times the risk of SA or completed suicide compared to the general population, even after adjusting for psychiatric conditions (anxiety/mood disorders, substance abuse), physical comorbidities, and other psychosocial factors (income, residence).15 Similarly, those with life-threatening physical illness, such as TBI, stroke, myocardial infarction, and spinal cord injury (SCI) have higher rates of SI (11.3%) developing up to two years after illness onset, compared to the general population.16 Ryb et al (2006) suggest that higher suicide rates among traumatically injured individuals compared to the general population may be due primarily to a higher prevalence of alcohol abuse in those with traumatic injuries.12
The goal of the study was to determine whether severity of head and extra-cranial injuries were associated with SI or SA after TBI. We hypothesized that: (1) severity of head injury would not have a significant association with SI or SA; (2) severity of ECI would be associated with and predictive of SI and SA; and (3) physical disability and substance abuse would be associated with an increased risk of SI and SA.
Methods
Participants & Measures
Participants were recruited as part of the 20-site TBI Model Systems National Database (TBIMS) longitudinal study, the longest standing longitudinal database of TBI outcomes (currently with over 25 years of data collected). This database has the following inclusion criteria: ≥16 years old, evidence of a moderate to severe TBI (defined as any one of the following: Glasgow Coma scale (GCS) score <13, loss of consciousness >30 minutes, post-traumatic amnesia >24 hours, and/or trauma-related intracranial abnormality). Informed consent was provided by either participant or proxy as necessary, and all procedures were approved by each center’s Institutional Review Board. Information on data collection has been described previously17 and can be also found at https://www.tibindsc.org/. Acute care data obtained from the National Traumatic Data Base (NTDB), the largest aggregation of trauma registry data (https://www.ntdbdatacenter.com/), were linked to the TBIMS National Database through a probabilistic linkage based on common data elements across the TBIMS and NTDB databases using methods described previously.18 Demographic, premorbid, clinical, mood, suicidality, functional impairment, and other outcome data collected acutely (NTDB, TBIMS) and at 1, 2, and 5 years post-injury (TBIMS) were used for analyses. The specific measures collected and their sources (TBIMS vs. NTDB) are summarized in Table 1.
Table 1:
Description of Measures
| Construct | Summary of Measure | |
|---|---|---|
| NTDB Measures | ||
| Abbreviated Injury Scale (AIS)/Injury Severity Scale (ISS) | Head Injury Severity Non-Head Injury Severity |
⮚ An anatomical trauma severity scale that quantifies overall severity of injury across multiple body regions.57 ⮚ Injuries are ranked on a scale of 1 to 6, with 1 being minor, and 6 being an unsurvivable injury ⮚ ISS scores are derived from the AIS, calculated as the sum of the square of the three most severely injured body regions.58 ⮚ The most severe head injury was taken as max head AIS ⮚ Extra-cranial ISS was calculated as the sum of the square of the three most severely injured extracranial body regions |
| Glasgow Coma Scale (GCS) | Head Injury Severity | ⮚ Most commonly used tool of acute neurological injury severity ⮚ Focuses on verbal response, eye opening, and motor response59 ⮚ Scores range from 3–15, with 3 being most severe and 15 being most mild |
| Infectious Complications | Infectious Burden | ⮚ Coded based on presence of: deep wound infection, urinary tract infection, or pneumonia during acute hospital stay |
| Alcohol Blood Level | Alcohol use at time of injury | ⮚ Blood Alcohol Level was measured through blood draw at the acute facility and is expressed as a concentration of grams/dL. |
| Drug Use at Time of Injury | Drug use at time of injury | ⮚ Drug use at time of injury was determined with blood draw at the acute facility. |
| Mechanism of Injury | Intent | ⮚ Mechanism of Injury caused by: accident, assault, or self-inflicted |
| TBIMS Measures | ||
| Years of Education | Education | ⮚ Education level at the time of injury ⮚ Coded binary with high school education or greater, or less than high school level education |
| Race | Race | ⮚ Race was categorized as white, black, Asian, Native American, and other. |
| Payor Source | Health Care Resources | ⮚ Payor was dichotomized as Medicare and Medicaid vs. all others. |
| Functional Independence Measure (FIM) | Motor Disability Cognitive Disability |
⮚ The FIM is the most widely accepted and used measure of functional recovery during inpatient rehabilitation and following community integration60 ⮚ An 18-item ordinal scale assessing level of physical, motor, and cognitive disability ⮚ The cognitive and motor sub-scores at follow-up were used in this study |
| Patient Health Questionnaire-9 (PHQ-9) | Depressive Symptoms | ⮚ A 9-item ordinal screening questionnaire based on the Diagnostic and Statistical Manual of Mental Disorders Fourth Edition (DSM-IV) criteria for Major Depressive Disorder ⮚ Has been validated for use in Traumatic Brain Injured populations61 ⮚ The PHQ8 Scoring (questions 1–8 only) was used in this study as a measure of depressive symptoms to predict suicidality |
| Time to Follow Commands (Days) | Injury Severity | ⮚ Refers to the date following injury that a patient is able to follow motor commands ⮚ The individual must either: follow simple motor commands accurately at least two out of two times within a 24 hour period, or have a score 6 on the motor component of the GCS |
| Substance Abuse at Time of Follow-up | Substance Abuse at follow-up | ⮚ Participant is asked the following question at the time of follow-up, “During the last 12 months, did you use any illicit or non-prescription drugs?” |
| Pre-injury Suicide Attempt | Pre-injury Suicide Attempt | ⮚ Participant is asked the following question at the time of enrollment into the study, “Have you ever attempted suicide?” |
| Outcome Measures | ||
| PHQ9 – Question #9 | Suicidal Ideation | ⮚ PHQ9 Question 9 assesses suicidal ideation and asks, over the last two weeks, how often have they been bothered by “Thoughts that you would be better off dead or of hurting yourself in some way”? ⮚ Use of single items from large depressive symptom inventories has been validated for assessing suicidal ideation.62 ⮚ Suicidal ideation was defined as a score of ≥1 and no suicide attempt in the past year |
| Suicidal Attempt in the past year | Suicide Attempt | ⮚ This was determined in follow up interview with either the participant or proxy. The question specified suicide attempt in the previous year. |
For the primary variables of interest, question number nine on the Patient Health Questionnaire 9 (PHQ-9) was used as a measurement of SI, as this item is a direct scale question regarding how frequently respondents have had thoughts of hurting themselves or that they would be better off dead. This specific item captures suicidal thoughts and has been found to be associated with increased risk for SA.19 Those endorsing a score of ≥1 were categorized as positive for SI. SA in the past year was assessed via interview conducted as part of regular follow-up evaluation per the TBI Model Systems protocol. Head injury severity was measured with the Max Head Abbreviated Injury Scale (AIS). Injuries are ranked on the AIS from 1 to 6, with increasing severity. The Injury Severity Scale (ISS) is derived from the sum of the square of the AIS in the three most severely injured body regions.20,21 ECI was measured by the ISS (three most severely injured body regions excluding the head) and categorized as none (0), mild (1–8), moderate (9–15), and severe (>15).
Data Analysis
We conducted an initial analysis comparing baseline demographic and injury characteristics of participants who reported no SI at all follow-up time point to participants with SI, but no SA, at any follow-up time point (1, 2, and/or 5 years post-injury) and to those participants reporting SA at any follow-up time point. We used random-effects models to identify predictors and associated factors of SI and SA across the first 5 years post-TBI, including both head and ECI severity, motor and cognitive disability, and substance abuse measures. This analytical approach controls for intra-subject correlation associated with repeated measures, while allowing for inclusion of multiple time points for covariates and outcomes. Coefficients can be exponentiated, allowing calculation of odds ratios (OR) for individual covariates across time. We first developed base models that included relevant demographic, acute trauma, and follow-up variables. We then added head and ECI severity to the base models, allowing us to conduct a likelihood ratio (LR) test to determine if the addition of these acute injury characteristics significantly improved model fit. Analysis was conducted with Stata version 13 (College Station, TX). P-values ≤0.05 were considered statistically significant.
Results
Of the 3,575 participants in the final linked data set, 293 (8.2%) endorsed suicidal thoughts in the two weeks prior to scheduled follow-up interviews but did not attempt suicide in the previous year, and 109 (3.0%) attempted suicide at some point during the year prior to the follow-up interview. Baseline and follow-up characteristics are shown in Table 2. Those with SI only, and those who attempted suicide, were more likely to have been using drugs at injury (41.3% vs. 33.2%, p=0.012; and 46.2% vs. 33.2%, p=0.117, respectively) and were generally younger (mean 37 vs. 42, p<0.001; and 33 vs. 42, p<0.001, respectively) than those with no SI or SA. Additionally, a larger percentage of ideators and attempters reported problems with alcohol or drugs at follow-up (all years), and these participants also reported higher depressive symptoms at follow-up (all years) compared to non-ideators and non-attempters. There were statistically significant differences in Functional Independence Measure of motor-based activities of daily living (FIM-mot) between those with and without SI and SA at time of discharge and follow-up and in FIM cognitive disability (FIM-Cog) at follow-up. However, these differences did not represent a meaningful effect size (FIM motor differences <17 points, FIM cognitive differences <3 points22). Ideators and attempters differed significantly at 1 and 2 years post-injury (20.8% vs 31.2% and 26.0% vs 32.4%, respectively; p<.001) with regard to problem substance use.
Table 2:
Descriptive characteristics
| No Suicidal Ideation or Attempt n=3173 |
Suicidal Ideation (no attempt) n=293 |
p-value* | Suicidal Attempt n=109 |
p-value± | |
|---|---|---|---|---|---|
|
| |||||
| Race (white) | 68.1% | 67.2% | .768 | 72.5% | .332 |
| Sex (male) | 73.6% | 74.4% | .754 | 66.1% | .082 |
| Age, median (IQR) | 24 (39–56) | 24 (36–48) | .001 | 20 (38–44) | <.001 |
| Education (12+ years) | 67.7% | 64.9% | .314 | 55.1% | .006 |
| GCS, median (IQR) | 8 (3–14) | 7 (3–14) | .256 | 6 (3–14) | .060 |
| Days to Follow Commands, median (IQR) | 2 (0–11) | 3 (1–10) | .237 | 3 (0–12) | .386 |
| Primary Payer Source (Medicare/Medicaid) | 34.5% | 32.4% | .472 | 43.1% | .064 |
| FIM-Cog D/C, median (IQR) | 24 (19–28) | 25 (20–29) | .051 | 24 (19–28) | .904 |
| FIM-Mot D/C, median (IQR) | 68 (56–79) | 70 (60–81) | .015 | 66 (58–74) | .379 |
| Blood Alcohol Level, median (IQR) | 0 (0–0.138) | 0 (0–0.122) | .831 | 0 (0–0.129) | .936 |
| Drug Use at time of injury | 33.2% | 41.3% | .012 | 46.2% | .017 |
| Infectious Complications | 36.6% | 41.6% | .089 | 32.1% | .336 |
| Max Head AIS, median (IQR) | 4 (4–5) | 4 (4–5) | .113 | 3 (3–5) | .909 |
| Extra Head Injury, median (IQR) | 5 (0–13) | 5 (0–15) | .030 | 5 (1–13) | .554 |
| Assault | 7.1% | 7.6% | .615 | 9.2% | .399 |
| Self-Inflicted Injury | 0.8% | 1.4% | .335 | 2.8% | .034 |
| Problem Substance Use | |||||
| 1 yr | 12.5 | 20.8 | <.001 | 31.2 | <.001 |
| 2 yr | 14.0 | 26.0 | <.001 | 32.4 | <.001 |
| 5 yr | 15.8 | 22.7 | .013 | 24.0 | .059 |
| PHQ8 Total | |||||
| 1 yr | 3 (0–6) | 11 (6–15) | <.001 | 10 (6–17) | <.001 |
| 2 yr | 3 (0–6) | 10 (6–15) | <.001 | 11 (4–15) | <.001 |
| 5 yr | 2 (0–6) | 9 (5–16) | <.001 | 6 (1–10) | .003 |
| FIM-Cog | |||||
| 1 yr | 32 (29–34) | 31 (29–33) | <.001 | 30 (26–32) | <.001 |
| 2 yr | 33 (30–34) | 32 (29–33) | <.001 | 30 (26–33) | <.001 |
| 5 yr | 33 (30–35) | 32 (30–34) | <.001 | 31 (28–33) | <.001 |
| FIM-Mot | |||||
| 1 yr | 89 (82–91) | 88 (81–91) | .003 | 88 (80–91) | .025 |
| 2 yr | 90 (84–91) | 89 (84–91) | .066 | 86 (79–91) | .019 |
| 5 yr | 91 (85–91) | 90 (86–91) | .635 | 82 (89–91) | .033 |
NOTE:
p-value is for comparison of No Suicidal Endorsement or Attempt to Suicidal Endorsement (no attempt)
p-value is for comparison of No suicidal Endorsement or Attempt to Suicidal Attempt; IQR=Interquartile Range; D/C=Acute Rehabilitation Discharge; FIM=Functional Independence Measure; AIS=ADD; ISS=Injury Severity Score. Sample size differences for baseline characteristics: Drug use at time of injury: n=2517, 248, 78; Blood Alcohol level: n=2301, 266, 88; GCS: n=3036, 284, 104; Days to follow command: n=3081, 320, 108
Suicidal Ideation (SI) Models
The initial multivariate model for SI included demographics, clinical factors at time of injury, and clinical factors at time of follow-up known or suspected to contribute to SI after TBI (See Table 3). History of a pre-injury SA was associated with an 11-fold increase in the probability of post-injury SI (OR: 10.93; 95%CI: 2.14, 55.78; p=0.004). Depression severity, as measured by the PHQ-8 (See Table 1) at follow-up, also carried an increased odds of SI (OR: 1.27; 95%CI: 1.21–1.32; p<0.001), indicating that for a single point increase in PHQ-8 score, there was a 1.27X greater odds for SI, which translates to 3.3X greater odds for SI with a 5-point increase in PHQ-8 score (1.27^5). Drug use at time of injury was associated with an increased odds of SI (OR: 1.69; 95%CI: 1.11–2.86; p=0.015). There were no other significant variables associated with SI, including FIM scores at follow-up.
Table 3:
Predictors of Suicidal Ideation with no suicidal attempt in the first 5 years after TBI
| Model 1 | Model 2 | |||||||
|---|---|---|---|---|---|---|---|---|
| OR | 95% CI | Z | p | OR | 95% CI | Z | p | |
|
| ||||||||
| Demographics | ||||||||
| Race (white) | 1.11 | 0.70, 1.75 | 0.44 | .658 | 1.11 | 0.71, 1.73 | 0.46 | .646 |
| Sex (male) | 1.21 | 0.75, 1.93 | 0.78 | .433 | 1.16 | 0.73, 1.84 | 0.64 | .522 |
| Age (years) | 0.99 | 0.98, 1.00 | −1.23 | .219 | 0.99 | 0.98, 1.01 | −1.00 | .316 |
| Education (12+ years) | 1.51 | 0.96, 2.40 | 1.77 | .077 | 1.53 | 0.98, 2.40 | 1.87 | .061 |
| Primary Payer Source (Medicare/Medicaid) | 1.77 | 0.76, 1.84 | 0.72 | .473 | 1.19 | 0.78, 1.84 | 0.79 | .430 |
| Clinical factors at time of injury | ||||||||
| Injury Year | 0.90 | 0.78, 1.04 | −1.44 | .150 | 0.92 | 0.80, 1.05 | −1.24 | .216 |
| GCS | 1.00 | 0.96, 1.05 | 0.22 | .827 | 1.01 | 0.97, 1.06 | 0.57 | .568 |
| Time to Follow Commands (Days) | 1.01 | 0.99, 1.03 | 0.53 | .599 | 1.01 | 0.99, 1.13 | 0.68 | .500 |
| Infectious Complications | 0.97 | 0.62, 1.52 | −0.11 | .909 | 0.89 | 0.58, 1.34 | −0.52 | .600 |
| Alcohol Blood Level | 1.00 | 1.00, 1.00 | −0.26 | .795 | 1.00 | 0.99, 1.00 | −0.28 | .783 |
| Drug Use at time of injury | 1.69 | 1.11, 2.86 | 2.44 | .015 | 1.86 | 1.22, 2.84 | 2.89 | .004 |
| Intent* | ||||||||
| Self-inflicted | 0.73 | 0.12, 4.29 | −0.35 | .725 | 0.77 | 0.14, 4.32 | −0.30 | .763 |
| Assault | 0.89 | 0.42, 1.89 | −0.30 | .761 | 0.97 | 0.46, 2.07 | −0.08 | .939 |
| Clinical factors at time of follow-up | ||||||||
| Problem Substance Use (post-injury) ǂ | 0.99 | 0.83, 1.18 | −0.10 | .917 | 0.98 | 0.82, 1.16 | −0.28 | .783 |
| Pre-injury Suicide Attempt | 10.93 | 2.14, 55.78 | 2.80 | .004 | 11.07 | 2.29, 53.39 | 2.99 | .003 |
| Depression (PHQ8) (at follow-up) ǂ | 1.27 | 1.21, 1.32 | 11.29 | <.001 | 1.27 | 1.22, 1.32 | 11.56 | <.001 |
| FIM-Cog (at follow-up) ǂ | 0.96 | 0.90, 1.02 | −1.36 | .175 | 0.96 | 0.90, 1.01 | −1.51 | .132 |
| FIM-Mot (at follow-up) ǂ | 1.00 | 0.97, 1.03 | 0.06 | .955 | 1.01 | 0.98, 1.04 | 0.44 | .658 |
| Independent variables of interest: Head and Extra-cranial Injury | ||||||||
| Head Injury severity (Max Head AIS; 1–6) | 1.17 | 0.92, 1.49 | 1.30 | .193 | ||||
| Extra-cranial Injury severity (ISS) ± | ||||||||
| Mild (1–8) | 1.32 | 0.75, 2.29 | 0.96 | .335 | ||||
| Moderate (9–15) | 1.58 | 0.86, 2.89 | 1.47 | .142 | ||||
| Severe (>15) | 2.73 | 1.55, 4.82 | 3.46 | .001 | ||||
Referent group is “Accident”
Referent group is 0 (no extra-cranial injury)
measured over time concurrently with outcome.
The second model included head injury (Max Head AIS) and ECI (ISS categories) severity variables (see Table 3). ECI, measured through injury severity score (ISS), carried a higher likelihood of SI, but only when the ECI was severe (ISS>15). With a severe ECI, participants were nearly 3 times more likely to have SI (OR: 2.730; 95%CI: 1.55–4.82, p=0.001) compared to those with no ECI. The LR test showed that head injury severity (Max Head AIS) and ECI (ISS) significantly contributed to the variance explained by the model (χ42=13.74, p=0.008).
SA Models
The only covariate that was significantly associated with SA in either the base or full model was PHQ-8 (OR: 1.14; 95%CI: 1.06–1.23; p<0.001).
Exploratory Analysis
We also explored whether ECI predicted depression, to assess whether the relationship between ECI and SI might be explained (mediated) by depression. However, ECI was not significantly associated with depression severity, nor did it interact with depression to predict SI (data not shown). Further, both ECI and depression severity remained significant in the SI model, indicating that depression severity does not explain relationship between ECI and SI. We also explored whether drug use at injury interacted with ECI to predict SI; this was not statistically significant.
Discussion
Recent work suggests that self-injury is the eighth leading cause of death in the United States,23 and understanding the underlying reasons for suicide remains a significant public health problem. To our knowledge, this is the first study to link acute trauma factors to suicidality across the first 5 years post-TBI, and the analysis revealed a novel finding that those with severe ECI may be at the greatest risk for SI even many years after TBI. While psychological factors, such as higher prevalence of depression after TBI,24 are strong contributors to the elevated risk of suicidality following TBI, there is also evidence that neurobiological factors, such as TBI-induced tissue loss and neuroinflammation, may contribute to suicidality after TBI.25–27 Consistent with previous research,13,28,29 we did not find significant associations between SI/SA and multiple indicators of TBI severity (maximum head AIS, GCS, time to follow commands). However, we did find that drug use at time of injury and substance abuse at follow-up, severe ECI, and depressive symptoms were associated with SI after TBI. It was surprising to discover that motor disability over time (FIM-Mot) was not meaningfully associated with SI, contrary to our hypothesis, suggesting that the relationship between ECI and SI was not the result of greater motor disability or less functional independence with basic ADLs. Additionally, ECI was not predictive of depression, suggesting a more direct or alternatively mediated (e.g. through other psychosocial factors over time) relationship between ECI and SI. Perhaps individuals’ overall adjustment to disability, a construct likely determined by a constellation of physical, psychological, and social factors, and not adequately captured by discrete measures of mood or basic functional ability, is a major determinant of post-injury suicidality. Future research is needed to better define and measure adjustment to disability following traumatic injury.
Within the general literature on suicidality, most research focuses on suicidal gestures or attempts, rather than SI in particular. Differences in the significant predictors and associated factors between SI and SA in this study suggest that SI and SA are different, though related, outcomes. Other latent factors not measured in the present study may explain more of the variance in SA. A literature review of studies investigating SI after TBI found SI among those with a range of time post-injury was reported in 3–33% of individuals with TBI.2 Those reporting SI have >5 times the risk of SA.2 In our sample, participants with SI and participants with SA, shared similar baseline and follow-up characteristics on all factors measured, with the one exception being that attempters were more likely to have substance abuse problems than ideators only. This finding is consistent with recent work suggesting that substance abuse problems contribute significantly to suicide rates nationally.23,30
Recent studies with non-TBI cohorts report that substance use disorders, second only to depression in some clinical samples,31 are highly correlated with both SI and SA.32–35 These data are also consistent with our findings, as both substance use at injury and post-injury problematic substance use distinguish between those with/without SI in our sample. Interestingly, some studies examining the relationship between substance use and SI or SA in the non-TBI literature suggest that these relationships are bidirectional, and that suicidality may either precede or follow the onset of substance use.36,37 If drug use at injury in our sample is reflective of premorbid patterns of use, this behavior could be associated with underlying SI prior to the injury, which then persisted through the follow-up period. This idea is consistent with our finding that pre-injury SAs are also associated with long-term SI. These findings reflect the fact that pre-injury psychological and behavioral challenges, including mental health conditions and substance use disorders, can persist post-injury and often complicate recovery,38–40 highlighting the importance of assessing and accounting for these factors in rehabilitation.
Though not often studied, full injury severity measured by ISS has been informative for some TBI outcomes, like discharge disposition20 and community integration.41 Our study demonstrates a nearly 3-fold increased likelihood of SI among participants with severe extra-cranial injuries (ISS>15), representing major polytrauma, compared to isolated head injuries. However, the likelihood among those with mild-moderate ECI was not significantly higher. Though the association between TBI and suicidality has been well studied in both civilian and military populations,1,42,43 there are few studies reporting on the association between ECI severity and SI. March and colleagues reported significantly higher odds of suicide completion or attempt among those with severe traumatic injuries compared to matched controls.15 That study, however, did not separate cranial and ECI, examine mild-moderate traumatic injuries, or assess SI risk. Individuals sustaining polytraumatic injuries, including TBI, have poorer recovery over time than those with TBI alone or ECI alone.44,45 Therefore, this is the first study specifically examining ECI severity after TBI as it relates to both SI and SA. Our results may have parallel implications for ECI in the military setting, a population at high risk for polytrauma.
Contrary to our hypothesis, we did not find motor disability to differ to a clinically meaningful degree (e.g. ≥17 points) for those with SI or SA. Extrapolating from spinal cord injury literature, SI/SA was most often associated with control of one’s community activities, spiritual well-being, younger age at injury, and severity of injury.46 This literature suggests that restrictions in community-based participation (rather than just basic activities of daily living, as measured with FIM) or differences in age at injury may be factors explaining the association between severity of ECI and SI after TBI. However, these factors require further exploration.
Study Limitations.
This study is not without limitations. Large existing datasets, such as that used in the present study, provide unique opportunities to study complex and clinically challenging populations, but are also subject to the limitations and challenges associated with the use of large databases. The limitation of available data in this dataset regarding both pre- and post-injury psychosocial variables, such as anxiety, cognitive functioning, social support, and coping reduces the opportunity to evaluate these factors in the current study. For example, premorbid limitations in coping may influence both pre- and post-injury substance use and SI. Additionally, there are inconsistencies in the scales commonly used for assessing severity of initial head injury, such as the GCS score and Max Head AIS. For example, defining the time frame and severity of initial injury may vary between existing measures, as well as determination and documentation of how medical interventions (e.g. intubation, sedation) influence measurement. Further, the data have limited temporal resolution, since they are collected at 1, 2, and 5 years after injury but with reference to the varying time frames (e.g. since last assessment, in the past year, in the past two weeks are all referent time frames of varying assessment tools). This limitation is perhaps most significant in our inability to assess temporal relationships between SI and SA, as SI is assessed with reference to the two weeks prior to the follow-up visit, whereas SA is assessed any time within the past year.
We also do not have complete data as to completed suicides, and while extrapolations could be made with regard to the percentage of those with SI or SA who go on to complete suicide, there are also cases of completed suicide in the absence of either SI or SA. Despite a robust sample size overall for a TBI cohort, the incidence of SA was relatively low (~3%) compared to other studies (1–18%)2 reporting post-injury SA. Therefore, this study may be underpowered to identify significant factors associated with SA that may have smaller effect sizes. This low incidence may be due to a number of factors, including differences in study samples (evaluating a general TBI cohort vs. a cohort specifically screened for depressive symptoms/SA), differences in how SA was measured (in the year prior to injury vs. any post-injury SA), and differences in services received that may reduce post-TBI risk factors for SA (e.g. all participants in the TBI-MS National database participated in inpatient rehabilitation). Although a strength of this study is its robust longitudinal modeling, this research design does not allow for differentiation of temporal relationships between associated factors and SI or SA.
Suicidality may develop through multiple pathways, whether related to the injury itself, to individual differences in adjustment to disability and in coping, or to other personal, biological, and environmental factors unaccounted for or obscured when data are aggregated. Developing proactive strategies to monitor at-risk individuals and provide early intervention for SI may have a positive public health impact by decreasing the incidence of suicide following TBI.
GRANT FUNDING
The collection of the original data for this manuscript was supported by the National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR) and the National Trauma Data Bank.
The contents of this manuscript were developed under grants from the National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR) Grant 90DP0041 (AKW, SBJ, PMA, RGK) (University of Pittsburgh). Additional author support was provided by NIH K23GM093032 (JLS), NIDILRR 90DP0038 (JWK) and 90DP0047 (HB), the NIMH Medical Student Research Fellowship (TL1TR000005) (MRK) administered by the University of Pittsburgh (R25 MH054318), the Rusk Advanced Rehabilitation Research Training Postdoctoral Fellowship (HB) (J. Rath, PD; NIDILRR 90AR5014-01-00) and the Polytrauma Rehabilitation Center Traumatic Brain Injury (TBI) Model System (MJP)
The Polytrauma Rehabilitation Center TBI Model System is a funded collaboration between the Department of Veterans Affairs (VA) and NIDILRR. NIDILRR is a Center within the Administration for Community Living (ACL), Department of Health and Human Services (HHS). The contents of this manuscript do not necessarily represent the policy of the VA, NIDILRR, ACL, NIH, or HHS, and endorsement of this content by the Federal Government should not be assumed.
List of Abbreviations:
- ECI
Extra-cranial Injury
- FIM
Functional Independence Measure
- GCS
Glasgow Coma Scale
- ISS
Injury Severity Score
- LR
Likelihood Ratio
- NTDB
National Trauma Data Bank
- OR
Odds Ratio
- PHQ
Patient Health Questionnaire
- SCI
Spinal Cord Injury
- SA
Suicide Attempt
- SI
Suicidal Ideation
- TBI
Traumatic brain injury
- TBIMS
Traumatic Brain Injury Model Systems
Footnotes
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