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. Author manuscript; available in PMC: 2018 Sep 1.
Published in final edited form as: Am J Geriatr Psychiatry. 2017 Apr 4;25(9):953–963. doi: 10.1016/j.jagp.2017.03.011

Posttraumatic Stress Disorder among Older Adults Experiencing Motor Vehicle Collision: a Multicenter Prospective Cohort Study

Timothy F Platts-Mills 1, Bo C Nebolisa 2, Sean A Flannigan 3, Natalie L Richmond 4, Robert M Domeier 5, Robert A Swor 6, Phyllis L Hendry 7, David A Peak 8, Niels K Rathlev 9, Jeffrey S Jones 10, David C Lee 11, Christopher W Jones 12, Samuel A McLean 13
PMCID: PMC5563265  NIHMSID: NIHMS865550  PMID: 28506605

Abstract

Objective

To characterize risk factors for and consequences of posttraumatic stress disorder (PTSD) among older adults evaluated in the emergency department (ED) following motor vehicle collision (MVC).

Design

Prospective multicenter longitudinal study (2011–2015).

Setting

9 EDs across the United States.

Participants

Adults aged 65 years and older who presented to an ED after MVC without severe injuries.

Measurements

PTSD symptoms were assessed 6 months after the ED visit using the Impact of Event Scale-Revised.

Results

Of 223 patients, clinically significant PTSD symptoms at 6 months were observed in 21% (95% CI 16%–26%). PTSD symptoms were more common in patients who did not have a college degree, had depressive symptoms prior to the MVC, perceived the MVC as life-threatening, had severe ED pain, and expected their physical or emotional recovery time to be greater than 30 days. Three factors (ED pain severity [0–10 scale], perceived life-threatening MVC [0–10 scale], and pre-MVC depressive symptoms [yes to either of two questions]), predicted 6 month PTSD symptoms with an area under the curve of 0.76. Compared to patients without PTSD symptoms, those with PTSD symptoms were at higher risk for persistent pain (72% vs. 30%), functional decline (67% vs. 42%), and new disability (49% vs. 18%).

Conclusions

Among older adults treated in the ED following MVC, clinically significant PTSD symptoms at 6 months were present in 21% of patients and were associated with adverse health outcomes. Increased risk for PTSD development can be identified with moderate accuracy using information readily available in the ED.

Keywords: Emergency medicine, Geriatrics, Aged, Stress disorders, post-traumatic, Multiple trauma, Trauma and stress disorders, Traffic accidents

OBJECTIVE

Motor vehicle collision (MVC) is one of the most common life-threatening traumatic events experienced in industrialized countries.1 An estimated 1 million U.S. adults aged 65 years and older experience an MVC annually,1 and over 250,000 come to the emergency department (ED) for care.2 Due to rapid growth in the number of active and independent older adults, the number of older adults in the U.S. experiencing MVC each year is projected to double over the next two decades.2 More than 80% of older adults presenting to the ED after MVC do not have severe or life-threatening injuries and are discharged home after the ED evaluation.2 Persistent pain among older adults experiencing MVC has been described,3 but little is known about other adverse outcomes after this common injury mechanism in older adults.

Posttraumatic stress disorder (PTSD) is known to be a common and morbid sequela of MVC among younger adults.46 Among older adults, PTSD has been described as a residual of childhood or young adult trauma exposure or a result of a new trauma exposure occurring in later life,79 is estimated to have a community prevalence of 1%,9 and is associated with poor mental health10 and medical conditions including hypertension, stomach disorders, and arthritis.11 However, prospective studies of the development of PTSD following trauma exposure in later life have been limited to natural disasters.7,12 No prospective studies have characterized PTSD development among older adults following MVC. Two meta-analyses describing predictors of PTSD in adults identified a number of risk factors associated with the development of PTSD after acute trauma, including prior trauma, education, prior psychiatric history, and peritraumatic dissociation.13,14 Other literature suggests that younger adults with higher perceived trauma severity15, depression16, and African American descent17 may be at higher risk for developing PTSD after acute trauma. Using the results of the literature review, a priori selection was used to select factors we hypothesized to be predictive of clinically significant PTSD symptoms in older adults after MVC.

We sought to estimate the frequency of clinically significant PTSD symptoms 6 months after MVC among older adults, examine predictors of PTSD symptoms, and characterize associations between PTSD symptoms and other adverse health outcomes.

METHODS

Study Design and Setting

We conducted a multicenter prospective longitudinal study of patients aged 65 years and older evaluated in an ED within 24 hours after an MVC. Patients were enrolled from nine EDs in five no-fault insurance states (Florida, Massachusetts, Michigan, New York, and New Jersey). These states were chosen to minimize the number of participants for whom on-going legal activity might promote symptom persistence.18 At each of our study sites, research assistants monitored the chief complaints of ED patients to identify individuals aged 65 years and older who presented following MVC. Research assistants approached these patients for screening, consent, and interview during the participant’s ED visit. In all cases the ED evaluation occurred after a triage nurse had assessed the patient and in most cases after the initial assessment by an emergency physician. Follow-up assessments were completed by phone or mail at 2 weeks and six months. The study was approved by the institutional review board at each site, and each participant provided written informed consent. Additional details regarding the collection of ED and follow-up data have been published for the parent study.3,19

Participants

Patients aged 65 years and older who presented to the ED within 24 hours after MVC were screened for enrollment. Only patients without severe or life-threatening injuries (i.e., fractures, major lacerations, intracranial injuries, intra-abdominal injuries, or spinal injuries) were enrolled, because such patients constitute the great majority of older adults presenting to the ED after MVC,2 and no programmatic efforts currently exist to optimize the mental health outcomes of these patients. Patients were also excluded if they had moderate or severe cognitive impairment based on a Six-Item Screener score ≤3,20 were prisoners, were living in a nursing home, did not speak or read English, or were receiving end-of-life or comfort care. Recruitment took place between June 2011 and August 2015.

Measures

The ED interview obtained information about patient demographics, pre-MVC health, MVC characteristics,21 and acute pain and distress symptoms. Sociodemographics included age, sex, race, level of formal education, and whether or not the patient had social support at home. Pre-MVC health encompassed self-rated general health, polypharmacy, baseline physical function, disability, depressive symptoms, and mild cognitive impairment. Polypharmacy was defined as taking ≥5 medications per day.22 Pre-MVC physical function (0–12 scale) was assessed based on self-reported ability to walk, climb stairs, and lift or carry 10–20 pounds during the week before the MVC.23 Pre-MVC disability was defined as present if the patient reported at least some difficulty with one or more of the following activities of daily living (ADLs): bathing, dressing, transferring from bed to chair, rising from a chair, using the toilet, or eating.24 Pre-MVC depressive symptoms were considered present if the patient answered “yes” to either 1) feeling down, depressed, or hopeless much of the time during the past month or 2) being bothered by having little interest or pleasure in doing things much of the time during the past month.25 Mild cognitive impairment was defined as a score of 4 or 5 on the Six Item Screener.20 Patients were asked their position in the vehicle, the main location(s) of vehicle damage, and to characterize the vehicle damage as mild, moderate, or severe. Patients were also asked to rate how life-threatening they believed the MVC to be on a scale of 0–10;26 responses for this item that were equal to or above the median score of 5 were considered life-threatening. Pain severity was measured using the 0 to 10 numeric rating scale and categorized as mild (1–3), moderate (4–6), or severe (7–10).27 Acute stress symptoms were assessed using the Peritraumatic Distress Inventory. Individual items from the Peritraumatic Distress Inventory (“I thought I might die”, “I felt helpless”) were dichotomized with a yes defined by responses of “slightly true,” “somewhat true,” “very true,” or “extremely true.”28 Patients were asked to estimate their expected time in days for physical recovery and emotional recovery.

The 2-week interview assessed pain severity, pain interference, bed rest, and use of analgesics. Pain severity was measured using the 0 to 10 numeric rating scale and was considered MVC-related if the patient answered yes to the question, “Is this pain related to your motor vehicle collision?” Brief Pain Inventory questions were used to assess pain interference with general activity, walking ability, sleep, and enjoyment of life using a 0 (no interference) to 10 (complete interference) scale.25 For each domain, pain interference was defined as present if the patient reported a score ≥4.23 Bed rest was considered present if participants answered “yes” to the question, “during the past two weeks, have you stayed in bed for at least half a day?”29 Opioid use was defined by patient self-reported use of an opioid analgesic in the past 24 hours. Patients were given examples of opioids to assist identification and were also asked to name any pain medications they had taken in the past 24 hours.

At 6 months, PTSD symptoms were assessed using the Impact of Event Scale — Revised (IES-R), with an IES-R score ≥25 used to define patients with clinically concerning PTSD symptoms.30 This cutoff was found by Asukai et al. to have high sensitivity, specificity, positive predictive value, and negative predictive value for clinically concerning PTSD symptoms across a diverse range of trauma exposures.30 We assessed pain severity, pain interference, and use of analgesics using the same method as the 2-week interview. Additionally, at 6 months, we measured changes in physical function and disability, driving anxiety, and depressive symptoms. Functional decline was defined as any decrease (i.e. 1 point or more) in physical function between baseline and 6 months. Similarly, new disability was defined as any decrease in the composite ADL score between baseline and 6 months. Driving anxiety was considered present if the patient reported feeling “quite a bit” or “much more” nervous about driving compared to before the MVC. We assessed 6 month depressive symptoms with the same measure used to assess pre-MVC depression. Patients were also asked how many hours they slept in a 24-hour period, on average, in the past week.

Statistical Analysis

We calculated the percentage of the sample with clinically significant PTSD symptoms overall and by participant characteristics, including demographics, pre-MVC health, MVC characteristics, and acute pain. Confidence intervals were calculated using exact methods.31 We estimated risk ratios for PTSD symptoms based on demographics, MVC characteristics, ED symptoms, and 2 week symptoms and behaviors, adjusted for age and sex. We then derived a clinical prediction tool to identify older adults at increased risk of PTSD at 6 months using information readily available at the time of ED evaluation. Seventeen candidate predictors were considered based on literature review and expert opinion. These variables were tested with bivariate analysis, and those with an association with 6 month PTSD symptoms (IES-R score ≥25) at p <0.10 were entered into a forward stepwise logistic regression using the Akaike information criterion (AIC) to assess model fit. Internal validation of the model was performed using 10-fold cross validation. We report area under the receiver operating characteristic curve (AUROCC) with 95% confidence interval for this model.

Associations between PTSD symptoms and other health outcomes at 6 months were reported as raw and adjusted percentages. We adjusted for variables that we thought, prior to analyses, would be likely to confound the relationship between PTSD and these other outcomes: age, gender, race, level of formal education, and ED pain severity. Adjusted percentages were estimated as mean values for covariates using the predxcat command in STATA. Finally, we explored associations between PTSD symptom domains and health outcomes at 6 months. PTSD symptom domains of intrusion, hyper-arousal, and avoidance were defined following Weiss et al.,32 which categorizes each of the 22 IES-R questions into one of these three domains. Because past literature has found associations between these domains and the development of specific PTSD symptoms, we conducted exploratory analyses of the strength of associations between PTSD domains and pain severity, pain interference, functional decline, new disability, depression, and sleep at 6 months. These associations were examined using linear regressions and are reported using the coefficient of determination (R2) with and without adjustment for the covariates listed above. All statistical analyses were conducted using STATA 14.1 (StataCorp LP, College Station, TX).

RESULTS

Of 1232 patients screened, 542 were eligible and 256 consented to participate (Figure 1). Of eligible patients who declined participation, the most common reason was that the study would take too much time (N=82). Fifty-four eligible patients stated they did not want to participate because they were too stressed or overwhelmed. Of the 256 consenting participants, 3 had incomplete ED interviews and were excluded from analysis. An additional 30 participants were lost to follow-up at 6 months, leaving a total of 223 participants (88%) for analysis. There were no significant differences between the participants lost to follow-up and the study sample with regard to age and gender: of the participants lost to follow-up (N=30), 33% (vs. 35%) were aged ≥75 years and 50% (vs. 56%) were female. However, those lost to follow-up had a greater percentage of African Americans compared to the study sample (33% vs. 16%) and a lower percentage of individuals with college degrees (37% vs. 65%).

Figure 1.

Figure 1

Flow diagram of the screening and enrollment process.

*Reason ineligible not mutually exclusive

Six Item Screener score ≤ 3

At 6 months, 21% (47/223) of participants had clinically severe PTSD symptoms (IES-R ≥25). The patient characteristics associated with the highest risk of PTSD were African American ethnicity and severe pain in the ED; the characteristic associated with the lowest risk of PTSD was college education (Table 1). After adjusting for age and sex, other ED findings associated with clinically significant PTSD symptoms at 6 months (p≤0.05) were depressive symptoms prior to the MVC, an MVC that was perceived to be life-threatening, a positive response to the statement “I thought I might die” from the peritraumatic distress inventory, and patient estimate in the ED of expected time to physical or emotional recovery of greater than 30 days (Table 2). Neither pain severity, opioid use, nor bed rest at 2 weeks were significantly associated with PTSD symptoms at 6 months.

Table 1.

Incidence of post-traumatic stress disorder (PTSD) symptoms among adults aged ≥65 years six-months after emergency department (ED) evaluation for motor vehicle collision, overall and by patient collision characteristics.

PTSD1 Symptoms
Characteristic N % (95% CI)
All patients 223 21 (16–26)
Age
 65–74 144 24 (18–32)
 ≥75 79 14 (8–23)
Gender
 Male 95 18 (11–27)
 Female 128 23 (16–31)
Race
 White 180 19 (14–26)
 Black 36 31 (18–48)
 Other 7 0 (0–35)
Education
 College 77 13 (7–23)
 No college 146 24 (18–32)
Collision2
 Severe 125 22 (16–30)
 Moderate 71 16 (10–27)
 Mild 19 26 (10–51)
 Missing 8 13 (2–55)
Position in vehicle
 Driver 178 19 (13–25)
 Passenger 45 27 (16–42)
MVC life-threatening3
 Yes 132 28 (21–36)
 No 91 9 (5–17)
ED pain4
 Severe 85 31 (22–42)
 Moderate 77 18 (11–28)
 Mild 61 8 (4–18)
 Missing 7 14 (2–57)
1

Defined using an Impact of Event Scale-Revised (IES-R) score ≥25.

2

As reported by patients during emergency department visit.

3

Defined as a ≥ median score of 5 on a scale of 0–10.

4

Categories based on numeric pain severity scores of: 0=none; 1–3=mild; 4–6=moderate; 7–10=severe.

Table 2.

Relative risk of significant post-traumatic stress disorder symptoms (IESR ≥25), adjusted for age and sex, among adults aged ≥65 years six-months following emergency department (ED) visit after motor vehicle collision by patient and collision characteristics.

Characteristic Adj. Relative Risk (95% CI) Wald χ2 (DF) p-value
Sociodemographics
 Age 65–74 (vs ≥75)1 1.8 (1.0–3.3) 3.28 (1) 0.07
 Female1 1.3 (0.7–2.2) 0.75 (1) 0.39
 African American2 1.7 (1.0–3.1) 2.78 (1) 0.10
 No college degree 1.9 (1.0–3.5) 3.63 (1) 0.06
 Social support 1.4 (0.8–2.5) 0.58 (1) 0.45
Pre-MVC Health
 Poor self-rated general health 1.6 (0.9–2.8) 2.81 (1) 0.09
 Polypharmacy3 1.5 (0.9–2.5) 1.96 (1) 0.16
 Depressive symptoms 2.7 (1.6–4.8) 11.67 (1) <0.001
 Mild cognitive impairment4 1.6 (1.0–2.7) 3.02 (1) 0.08
 ADL impairment 1.5 (0.8–2.9) 2.35 (1) 0.13
MVC Characteristics
 Passenger in vehicle 1.4 (0.8–2.5) 1.55 (1) 0.21
 Rear-ended 1.1 (0.7–1.9) 0.15 (1) 0.70
 MVC life-threatening5 2.7 (1.4–5.3) 10.06 (1) 0.002
 Not my fault 1.2 (0.5–2.5) 0.17 (1) 0.68
 I thought I might die6 3.2 (1.8–5.8) 19.10 (1) <0.001
 I felt helpless 1.1 (0.6–1.9) 0.01 (1) 0.93
ED Symptoms
 Severe pain7 2.2 (1.3–3.8) 9.93 (1) 0.002
 Prolonged physical recovery8 2.0 (1.2–3.3) 5.65 (1) 0.02
 Prolonged emotional recovery8 3.8 (2.1–7.0) 21.65 (1) <0.001
2 Weeks Symptoms and Behaviors
 Severe pain7 1.4 (0.7–2.7) 5.08 (1) 0.02
 Severe pain interference9 1.7 (0.9–3.4) 3.16 (1) 0.08
 Opioid use within past 24 hours 1.2 (0.6–2.4) 2.75 (1) 0.10
 Stayed in bed for half a day in past week 1.1 (0.6–2.1) 1.43 (1) 0.23

Note: P-values for relative risks determined using a Wald chi-squared test.

1

Not adjusted.

2

Defined as ≥5 medications.

3

Risk ratio for PTSD symptoms for Black compared to White. This analysis excludes 7 patients who were neither Black or White.

4

Defined by a score of 4 or 5 on the Six Item Screener; all other patients (n=165) got all six questions correct.

5

Defined as a ≥ median score of 5 on a scale of 0–10.

6

“Yes” defined as responses of “slightly true,” “somewhat true,” “very true,” or “extremely true” to the statement, “I thought I might die.”

7

Defined as a numeric pain severity scores of 7–10.

8

Defined as expected time >30 days.

9

Defined as scores of 7–10 for pain interference with general activity, walking, sleep, or enjoyment of life.

Nine of the 19 ED variables tested had bivariate associations with 6 month PTSD at p<0.10 (Appendix 1). Forward stepwise logistic regression identified a predictive model with 3 variables: pain severity in the ED, perceived life-threat of the MVC, and pre-MVC depressive symptoms (Table 3; Figure 2). Internal validation of this model using 10-fold cross-validation yielded an AUROCC of 0.76. A representative cutoff had a sensitivity of 86% and a specificity of 47%.

Table 3.

Optimal predictive model of PTSD symptoms at 6 months. Multivariable logistic regression model derived using stepwise forward selection based on the Akaike information criterion.

Predictor OR1 (95% CI) χ2 (DF) p-value
ED pain (0–10)2 1.25 (1.04–1.50) 14.19 (1) <0.001
MVC life-threatening (0–10)3 1.22 (1.07–1.39) 8.67 (1) 0.003
Depressive symptoms (y/n) 3.65 (1.53–8.70) 8.58 (1) 0.003

Note: Chi-squared values, degrees of freedom, and p-values derived from final model.

1

Odds ratio.

2

Pain assessed during ED interview using a numeric rating scale from 0 to 10.

3

How life-threatening patient believed the MVC to be on a scale from 0–10.

Figure 2.

Figure 2

10-fold cross validated receiver operating curve of predictive model of PTSD symptoms.

Compared to study participants without PTSD symptoms at 6 months, those with clinically concerning PTSD symptoms were more likely to experience moderate or severe pain, pain interference, a decline in physical function since the MVC, and driving anxiety and depressive symptoms after the MVC (Table 4). In addition, such individuals were more likely to sleep an average of ≤6 hours per night. These associations were only slightly attenuated after adjusting for patient age, gender, race, level of formal education, and pain severity in the ED.

Table 4.

Health outcomes 6 months after motor vehicle collision (MVC) for patients aged ≥65 years with and without symptoms of post-traumatic stress disorder (PTSD) at 6 months, defined by an Impact of Event Scale-Revised (IES-R) score ≥25 (0–88 scale). Estimated probabilities of outcomes adjusted for participant age, gender, race, level of formal education, and ED pain severity.

% (95% CI)
Unadjusted Adjusted
Outcome at 6 months PTSD
(N=46)
No PTSD
(N=177)
PTSD
(N=46)
No PTSD
(N=177)
Moderate or severe pain1 72 (57–83) 30 (24–37) 63 (46–78) 29 (23–37)
Pain interference1
 General activity 60 (45–73) 27 (20–34) 50 (34–67) 26 (19–33)
 Walking ability 64 (49–77) 28 (22–36) 63 (47–77) 28 (22–36)
 Sleep 58 (43–71) 25 (19–32) 50 (34–65) 25 (19–32)
 Enjoyment of life 59 (44–72) 28 (22–35) 52 (36–67) 27 (21–35)
Functional decline2 67 (49–80) 42 (34–50) 63 (45–78) 42 (34–51)
New disability3 49 (32–65) 18 (13–26) 44 (27–62) 17 (12–25)
Driving anxiety4 50 (36–64) 14 (10–20) 53 (37–68) 13 (09–19)
Depressive symptoms 67 (50–80) 20 (15–28) 68 (51–82) 19 (13–26)
≤ 6 hours of sleep5 61 (38–87) 36 (27–46) 56 (25–83) 34 (24–45)
1

For both pain severity and pain interference, defined as a score ≥4 (0–10 scale).

2

Decrease in total score assessing patient’s ability to walk, climb stairs, and carry groceries.

3

New difficulty or inability in one of six activities of daily living.

4

Defined as “quite a bit more” or “much more” nervous about driving than before the collision.

5

Adjusted values are adjusted for baseline sleep assessed at the time of the ED interview as well as age, gender, race, level of formal education, and ED pain severity.

Coefficients of determination (R2) between PTSD subscale scores and outcomes are shown in Appendix 2. All correlations for these values were positive. In general, intrusion and hyperarousal symptoms were more strongly associated with adverse health outcomes at 6 months than were avoidance symptoms. For example, R2 values for moderate to severe pain at 6 months were intrusion = 0.39, avoidance = 0.33, and hyperarousal = 0.39.

DISCUSSION

We present the results of the first prospective study of the incidence of clinically significant PTSD symptoms among older adults experiencing MVC, predictors of these symptoms, and other adverse health outcomes associated with PTSD symptoms. Twenty-one percent of adults aged 65 years and older in this sample who presented to the ED following MVC had clinically significant symptoms of PTSD at 6 months. This finding suggests that PTSD occurs in approximately 50,000 U.S. older adults annually who present to the ED after MVC and are discharged home after evaluation (20% of 250,000). This incidence is equivalent to that of younger adults hospitalized after severe MVC (18–23%),4,33,34 and higher than some estimates of PTSD among young combat veterans (8–18%).35,36 As has been described for younger adults,37,38 clinically significant PTSD symptoms at 6 months were associated with persistent pain. Patients in this study with PTSD symptoms were also more likely to report functional decline and disability, even after adjustment for potential confounders. These results are consistent with previously reported findings that older adults with PTSD spend more days in bed and are less satisfied with life compared to older adults without PTSD.39

After adjustment for age and sex, a number of patient characteristics predicted clinically significant PTSD symptoms, including no college degree, pre-MVC depressive symptoms, perception that the MVC was life-threatening, and expectation of prolonged (>30 days) physical or emotional recovery. The 3 patient characteristics that together most strongly predicted clinically significant PTSD symptoms at 6 months were pain severity in the ED, perceived life-threat of the MVC, and pre-MVC depressive symptoms (area under the curve = 0.76). Previously investigated risk factors of PTSD in the elderly include neuroticism and adverse childhood events; we did not assess these characteristics in our sample.9 Each of the 3 patient characteristics identified in our study can be assessed in the ED by asking 1 or 2 questions, and the answers to all 3 questions can be obtained in less than a minute. Identifying these factors in the ED may prompt physicians to refer patients to psychiatrists for early preventative intervention. The optimal length and sensitivity and specificity cut-offs for ED-based tools to identify older adults at high risk of PTSD would be expected to vary based on pre-test probability, type of intervention, and use of the tool as an initial screening tool vs. a tool to select individuals for secondary preventive interventions. The fairly good AUROCC for the above example derivation instrument suggests that in the future such relatively simple ED-based tools may indeed be useful and feasible for ED care providers to employ.

In our sample, point estimates for the frequency of PTSD symptoms were higher in African Americans than whites (31% vs. 19%), but this difference was not statistically significant. In a nationally-representative U.S. survey (n=11,710), PTSD was slightly more common among African Americans than whites (3.8% vs. 3.5%); however, among individuals aged 60 years and older PTSD was more than twice as common among African Americans (2.1% vs. 1.0%).17 Cultural, experiential, and/or biological factors may contribute to this difference. For example, African Americans are more likely to experience feelings of victimization due to race-related stressors40 and are also more likely to have experienced previous violent assault.41 In addition, ethnic variations in the frequency of genetic polymorphisms may contribute to increased PTSD rates in African Americans vs. European Americans.42,43

This study has several strengths. Participants were enrolled from multiple distinct regions of the U.S., supporting the generalizability of study findings. Consistent with this, 20% of participants were minorities, which is similar to the percentage of minorities among older adults seeking care in U.S. EDs nationally (24%).44 In addition, the 6 month follow-up rate of 88% is quite good and reduces the potential for non-response bias. Predictor variables were assessed in the ED, which would be the optimal setting to identify older adults at high risk for developing PTSD for secondary preventive interventions. There is burgeoning evidence that pharmacologic therapies such as hydrocortisone, propranolol, or morphine may prevent the development of PTSD symptoms when administered in the early aftermath of trauma.4548 Additionally, prolonged exposure therapy initiated in the ED setting has been shown to reduce the severity of posttraumatic stress reactions 4 and 12 weeks following acute trauma compared to the control group.48,49 Our exploratory analysis of IES-R PTSD symptom domains showed that intrusion and hyperarousal symptoms were more strongly associated with pain and pain interference at 6 months than were avoidance symptoms. Although these results are preliminary and require additional investigation, they may suggest that pain and PTSD symptoms are linked by an underlying degree of anxiety-associated symptoms rather than avoidance behavior. If confirmed, these findings may inform the types of early treatments that are most effective for preventing PTSD in this population.

This study also has several limitations. Our results do not provide estimates of the 6-month prevalence of PTSD symptoms for all older adults experiencing MVC who do not require hospitalization because only about one-third of older adults experiencing an MVC receive emergency care (the other two-thirds are not treated in an ED).50 Because pain and distress symptoms that contribute to care-seeking are also risk factors for persistent PTSD symptoms, risk for PTSD symptoms is likely lower in patients who do not seek emergency care. Non-response bias resulting from eligible subjects not consenting to participate may have led us to over- or under-estimate the percentage of older patients experiencing MVC who develop PTSD symptoms. In particular, patients who declined to participate because they were too stressed or overwhelmed (n=54) probably had an increased risk of developing PTSD as compared to those who did participate. We used the IES-R to identify patients with clinically significant PTSD symptoms, and not clinician assessment. The IES-R definition of PTSD used in this manuscript is not the same as a DSM-5 diagnosis, which is the clinical standard for the diagnosis of PTSD. Further development and validation of predictions instruments should consider defining presence or absence of PTSD symptoms using the Posttraumatic Stress Disorder Checklist for DSM-5 (PCL-5). The IES-R definition also differs from the recently developed Research Domain Criteria (RDoC), which use a range of symptoms across multiple dimensions to characterize mental illness. Further, although validated and widely-used, the cutoff of 25 has not been validated in an English-speaking population. We conducted multiple tests to identify potential candidate variables, increasing the chance of type I error. In addition, although internal validation of our predictive model using 10-fold cross validation showed good discriminative ability, we did not perform external validation. It is possible that in some patients, an experience other than the MVC contributed to the PTSD symptoms observed at 6 months as participants were not assessed at baseline for previous trauma history or PTSD symptoms. In the future, we seek to refine and validate our model with a larger sample in order to better evaluate performance in clinical settings.

In this prospective multicenter study of older adults receiving care in the ED after MVC, we found high rates of clinically significant PTSD symptoms and strong associations between such symptoms and other adverse mental and physical health outcomes. These findings add to the growing body of evidence indicating that a substantial subset of older adults develop chronic adverse health outcomes after being seen in the ED without severe or life-threatening injuries.51,52 The identification of several characteristics readily available at the time of the ED evaluation suggests the potential to use the ED visit to identify older patients at high risk for PTSD following MVC in order to initiate early preventive therapies.

Supplementary Material

1
2

Acknowledgments

Funding:This study was supported by Award Number K23AG038548 (Platts-Mills) from the National Institute on Aging. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute on Aging.

Role of the Sponsors: None of the sponsors had a role in the design and conduct of the study; the collection, management, analysis, and interpretation of the data; or the preparation, review or approval of the manuscript.

Footnotes

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Reprints: Reprints not available from the author.

Disclosures: No disclosures to report

Contributor Information

Timothy F. Platts-Mills, University of North Carolina at Chapel Hill, Department of Emergency Medicine.

Bo C. Nebolisa, University of North Carolina at Chapel Hill, School of Medicine.

Sean A. Flannigan, University of North Carolina at Chapel Hill, Department of Emergency Medicine.

Natalie L. Richmond, University of North Carolina at Chapel Hill, School of Medicine.

Robert M. Domeier, St. Joseph Mercy Health System, Department of Emergency Medicine.

Robert A. Swor, William Beaumont Hospital, Department of Emergency Medicine.

Phyllis L. Hendry, University of Florida College of Medicine Jacksonville, Department of Emergency Medicine.

David A. Peak, Massachusetts General Hospital, Department of Emergency Medicine.

Niels K. Rathlev, Baystate Medical Center, Department of Emergency Medicine.

Jeffrey S. Jones, Spectrum Health — Butterworth Campus, Department of Emergency Medicine.

David C. Lee, North Shore University Hospital, Department of Emergency Medicine.

Christopher W. Jones, Cooper University Hospital, Department of Emergency Medicine.

Samuel A. McLean, University of North Carolina at Chapel Hill, Department of Emergency Medicine.

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