Predicting response to Cognitive Processing Therapy for PTSD: A machine-learning approach.

Cognitive Processing Therapy (CPT) is an effective treatment for posttraumatic stress disorder (PTSD); however, not every client achieves optimal outcomes. Data were pooled from four randomized trials in which female interpersonal trauma survivors completed CPT (N = 179). Random forests of classification trees were used to investigate the role of both baseline (e.g., demographics, trauma history, comorbid disorders) and session PTSD and depressive symptom scores on predicting trajectory and outcome. Of particular focus was whether those on track for poor outcome (e.g., non-response, partial treatment response) could be identified early in therapy. Results demonstrated inconsistent findings for discrimination between delayed responders (no early change but full response after 12 weeks of therapy) and those who either showed a partial response to treatment or did not respond at all; level of discrimination depended on the assessment point under study and the chosen comparison group. Those defined as clear and early responders, however, could be reliably differentiated from the other groups by session 4. Although it is possible to identify clients who will recover from PTSD by the middle of the CPT protocol, further work is needed to accurately identify those who will ultimately not recover from PTSD during a course of CPT.

Identifying factors that contribute to military veterans' post-military well-being.

Prior research has examined the independent effects of demographic and military characteristics, trauma history, and coping resources on military veterans' health. However, there is limited knowledge of how these factors intersect with one another and with veterans' health to impact their broader well-being as they readjust to civilian life. Data for this study were drawn from a longitudinal investigation of the health and broader well-being of U.S. veterans (N = 7150) who had recently left military service. Machine learning analyses (random forests of regression trees) were used to examine how factors assessed shortly after military separation were associated with veterans' well-being approximately a year later. Veterans who endorsed the combination of low depression, high social support, and high psychological resilience were most likely to report high well-being a year later. Neither demographic and military characteristics nor trauma history emerged as strong predictors of veterans' well-being when considered in the context of other factors. Although most predictors were similar for women and men, depression was a stronger predictor of women's well-being. Results highlight the importance of screening for and intervening with veterans who report high depression, low social support, and low psychological resilience when leaving military service. These findings can inform efforts to promote veterans' post-military well-being.

Associations between PTSD-Related extinction retention deficits in women and plasma steroids that modulate brain GABAA and NMDA receptor activity.

Several studies have demonstrated poor retention of extinction learning among individuals with posttraumatic stress disorder (PTSD). Gonadal hormone signaling in brain appears to influence the retention of extinction learning differently in women with and without PTSD. Women with PTSD, compared to trauma-exposed women without PTSD, show relative deficits in extinction retention during the mid-luteal phase (mLP) of the menstrual cycle, compared to the early follicular phase (eFP). A PTSD-related reduction in conversion of progesterone to its GABAergic metabolites allopregnanolone (Allo) and pregnanolone (PA) may contribute to these findings. The current study in trauma-exposed women with (n = 9) and without (n = 9) PTSD investigated associations between extinction retention and plasma Allo + PA levels, as well as the ratio of Allo + PA to 5α-dihydroprogesterone (5α-DHP), the immediate steroid precursor for Allo. The study also investigated the relationship between extinction retention and the ratio of Allo + PA to dehydroepiandrosterone (DHEA), an adrenally-derived GABAA receptor antagonist. Study participants completed differential fear-conditioning during both the eFP and mLP of the menstrual cycle. Analyses revealed a strong positive relationship between resting plasma Allo + PA levels and extinction retention during the mLP in the women with, but not without, PTSD (e.g., diagnosis X Allo + PA interaction controlling for early extinction: ß = -.0008, p = .003). A similar pattern emerged for the Allo + PA to 5α-DHP ratio (ß = -.165, p = .071), consistent with a PTSD-related block in production of Allo and PA at the enzyme 3α-hydroxysteroid dehydrogenase. The ratio of Allo + PA to DHEA appeared to influence extinction retention only during the eFP when Allo + PA and DHEA levels are comparable and thus may compete for effects on GABAA receptor function. This study aligns with male rodent PTSD models linking experimental reductions in brain Allo levels to deficits in extinction retention and suggests that targeting PTSD-related deficits in GABAergic neurosteroid synthesis may be therapeutic.

Relationships between cerebrospinal fluid GABAergic neurosteroid levels and symptom severity in men with PTSD.

Allopregnanolone and pregnanolone (together termed allo + pregnan) are neurosteroid metabolites of progesterone that equipotently facilitate the action of gamma-amino-butyric acid (GABA) at GABAA receptors. The adrenal steroid dehydroepiandrosterone (DHEA) allosterically antagonizes GABAA receptors and facilitates N-methyl-D-aspartate (NMDA) receptor function. In prior research, premenopausal women with posttraumatic stress disorder (PTSD) displayed low cerebrospinal fluid (CSF) levels of allo + pregnan [undifferentiated by the gas chromatography-mass spectrometry (GC-MS) method used] that correlated strongly and negatively with PTSD reexperiencing and negative mood symptoms. A PTSD-related decrease in the ratio of allo + pregnan to 5α-dihydroprogesterone (5α-DHP: immediate precursor for allopregnanolone) suggested a block in synthesis of these neurosteroids at 3α-hydroxysteroid dehydrogenase (3α-HSD). In the current study, CSF was collected from unmedicated, tobacco-free men with PTSD (n = 13) and trauma-exposed healthy controls (n = 17) after an overnight fast. Individual CSF steroids were quantified separately by GC-MS. In the men with PTSD, allo + pregnan correlated negatively with Clinician-Administered PTSD Scale (CAPS-IV) total (ρ=-0.74, p = 0.006) and CAPS-IV derived Simms dysphoria cluster (ρ=-0.71, p = 0.01) scores. The allo+pregnan to DHEA ratio also was negatively correlated with total CAPS (ρ=-0.74, p = 0.006) and dysphoria cluster (ρ=-0.79, p = 0.002) scores. A PTSD-related decrease in the 5α-DHP to progesterone ratio indicated a block in allopregnanolone synthesis at 5α-reductase. This study suggests that CSF allo + pregnan levels correlate negatively with PTSD and negative mood symptoms in both men and women, but that the enzyme blocks in synthesis of these neurosteroids may be sex-specific. Consideration of sex, PTSD severity, and function of 5α-reductase and 3α-HSD thus may enable better targeting of neurosteroid-based PTSD treatments.

Accuracy and Acceptability of a Screening Tool for Identifying Intimate Partner Violence Perpetration among Women Veterans: A Pre-Implementation Evaluation.

OBJECTIVES: Veterans are at heightened risk for perpetrating intimate partner violence (IPV), yet there is limited evidence to inform practice and policy for the detection of IPV perpetration. The present study evaluated the accuracy and acceptability of a potential IPV perpetration screening tool for use with women veterans. DESIGN: A national sample of women veterans completed a 2016 web-based survey that included a modified 5-item Extended-Hurt/Insult/Threaten/Scream (Modified E-HITS) and the Revised Conflict Tactics Scales (CTS-2). Items also assessed women's perceptions of the acceptability and appropriateness of the modified E-HITS questions for use in healthcare settings. Accuracy statistics, including sensitivity and specificity, were calculated using the CTS-2 as the reference standard. MAIN OUTCOME MEASURES: Primary measures included the Modified E-HITS (index test), CTS-2 (reference standard), and items assessing acceptability. RESULTS: This study included 187 women, of whom 31 women veterans (16.6%) reported past-6-month IPV perpetration on the CTS-2. The Modified E-HITS demonstrated good overall accuracy (area under the curve, 0.86; 95% confidence interval, 0.78-0.94). In addition, the majority of women perceived the questions to be acceptable and appropriate. CONCLUSIONS: Findings demonstrate that the Modified E-HITS is promising as a low-burden tool for detecting of IPV perpetration among women veterans. This tool may help the Veterans Health Administration and other health care providers detect IPV perpetration and offer appropriate referrals for comprehensive assessment and services.

Association Between Mental Health Burden and Coronary Artery Disease in U.S. Women Veterans Over 45: A National Cross-Sectional Study.

BACKGROUND: The women Veteran population accessing Veterans Health Administration (VA) care has grown rapidly. Women Veterans exhibit high rates of mental health conditions that increase coronary artery disease (CAD) risk; however, the relationship between specific conditions and increasing mental health burden to CAD in this population is unknown. MATERIALS AND METHODS: Using VA National Patient Care Data for 2009, we identified women Veterans over 45 (N = 157,195). Logistic regression models examined different mental health diagnoses and increasing mental health burden (number of diagnostic clusters) as predictors of CAD. RESULTS: CAD prevalence was 4.16%, and 36% of women Veterans were current smokers. Depression exhibited the strongest association with CAD (odds ratio [OR] 1.60, 95% confidence interval [CI] [1.50-1.71]), similar to that of current smoking (OR 1.68 [1.58-1.78]). Controlling for demographic variables, smoking, diabetes, and obesity, each additional mental health diagnosis increased the odds of CAD by 44%. CONCLUSIONS: Women Veterans over age 45 accessing VA care exhibited a high degree of mental health burden, which is associated with elevated odds of CAD; those with depression alone had 60% higher odds of CAD. For women Veterans using VA, mental health diagnoses may act as CAD risk factors that are potentially modifiable. Novel interventions in primary care and mental health are needed to address heart disease in this growing and aging population.

Gender Differences in Machine Learning Models of Trauma and Suicidal Ideation in Veterans of the Iraq and Afghanistan Wars.

Suicide rates among recent veterans have led to interest in risk identification. Evidence of gender-and trauma-specific predictors of suicidal ideation necessitates the use of advanced computational methods capable of elucidating these important and complex associations. In this study, we used machine learning to examine gender-specific associations between predeployment and military factors, traumatic deployment experiences, and psychopathology and suicidal ideation (SI) in a national sample of veterans deployed during the Iraq and Afghanistan conflicts (n = 2,244). Classification, regression tree analyses, and random forests were used to identify associations with SI and determine their classification accuracy. Findings converged on several associations for men that included depression, posttraumatic stress disorder (PTSD), and somatic complaints. Sexual harassment during deployment emerged as a key factor that interacted with PTSD and depression and demonstrated a stronger association with SI among women. Classification accuracy for SI presence or absence was good based on the receiver operating characteristic area under the curve, men = .91, women = .92. The risk for SI was classifiable with good accuracy, with associations that varied by gender. The use of machine learning analyses allowed for the discovery of rich, nuanced results that should be replicated in other samples and may eventually be a basis for the development of gender-specific actuarial tools to assess SI risk among veterans.

Compassion-Based Therapy for Trauma-Related Shame and Posttraumatic Stress: Initial Evaluation Using a Multiple Baseline Design.

Accumulating research suggests that shame can strongly contribute to the development and maintenance of posttraumatic stress disorder (PTSD). Interventions that promote self-compassion have shown promise for reducing shame related to various clinical problems, but this approach has not been systematically evaluated for traumatized individuals. The aim of this study was to develop a brief compassion-based therapy and assess its efficacy for reducing trauma-related shame and PTSD symptoms. Using a multiple baseline experimental design, the intervention was evaluated in a community sample of trauma-exposed adults (N=10) with elevated trauma-related shame and PTSD symptoms. Participants completed weekly assessments during a 2-, 4-, or 6-week baseline phase and a 6-week treatment phase, and at 2 and 4weeks after the intervention. By the end of treatment, 9 of 10 participants demonstrated reliable decreases in PTSD symptom severity, while 8 of 10 participants showed reliable reductions in shame. These improvements were maintained at 2- and 4-week follow-up. The intervention was also associated with improvements in self-compassion and self-blame. Participants reported high levels of satisfaction with the intervention. Results suggest that the intervention may be useful as either a stand-alone treatment or as a supplement to other treatments.

Extinction retention and the menstrual cycle: Different associations for women with posttraumatic stress disorder.

The propensity to acquire and retain conditioned fear responses may contribute to the risk of developing and maintaining posttraumatic stress disorder (PTSD) following a traumatic event. There is growing evidence that the gonadal hormones estrogen and progesterone are associated with how well women retain extinction of previously conditioned fear responses. Thus, sex steroid effects may contribute to the increased prevalence of PTSD in women. For the current study, 32 nonmedicated female trauma survivors with and without PTSD completed a differential fear conditioning task both during the early follicular phase of the menstrual cycle when estradiol and progesterone levels are low, and during the midluteal phase when estradiol and progesterone levels are high. Skin conductance served as the measure of conditioned fear. Women with PTSD, compared to those without, showed impaired retention of extinction learning in the midluteal phase of the menstrual cycle. Therefore, the impact of menstrual phase on extinction retention may differ between women with and without PTSD. These findings raise potential considerations regarding the coordination of psychopharmacologic and trauma exposure-based treatments for PTSD with specific phases of the menstrual cycle.

Rape survivors' trauma-related beliefs before and after Cognitive processing therapy: associations with PTSD and depression symptoms.

This study examined whether cognitive distortions (i.e., assimilated and overaccommodated thoughts) and realistic (i.e., accommodated) thoughts assessed from impact statements written 5-10 years after completing cognitive processing therapy (CPT) accurately predicted posttreatment maintenance or decline in treatment gains during the same period. The sample included 50 women diagnosed with posttraumatic stress disorder (PTSD) secondary to rape who participated in a randomized clinical trial of CPT for PTSD. Cognitions were assessed via coding and analyses of participants' written impact statements at three time points: beginning of treatment, end of treatment, and at 5-10 years follow-up. Primary mental health outcomes were symptoms of PTSD (Clinician-Administered PTSD Scale) and depression (Beck Depression Inventory). Changes in trauma-related beliefs between the end of treatment and long-term follow-up were associated with concomitant changes in PTSD and depression symptoms (effect sizes ranging from r = .35-.54). Declines in accommodated thinking and increases in overaccommodated thinking were associated with elevations in symptomatology. Improvement in accommodated thinking and declines in overaccommodated thinking were associated with lower PTSD and depression symptoms during this same time period. Findings provided support for the role of changes in accommodated and overaccommodated thinking being associated with level of PTSD and depression many years after participating in CPT.

Accuracy of an intimate partner violence screening tool for female VHA patients: a replication and extension.

The 4-item Hurt/Insult/Threaten/Scream (HITS) tool accurately detects past-year intimate partner violence (IPV) among female Veterans Health Administration (VHA) patients; however, it lacks a sexual IPV item. This study evaluated the accuracy of an extended HITS (E-HITS), which adds a sexual IPV item, in female VHA patients. A sample of 80 female U.S. veteran VHA patients in New England completed a mail survey (50.0% response rate) that included the 5-item E-HITS and the Revised Conflict Tactics Scales (CTS-2). Women were included if they were in an intimate relationship in the past year. The women averaged 49 years of age and 86.0% of the sample was White. Accuracy of the 4-item HITS was compared to the 5-item E-HITS, using the CTS-2 as the reference. There were 20 women (25.0%) who reported past-year IPV on the CTS-2. The receiver operator characteristic curves demonstrated that the HITS and E-HITS performed nearly identically at their optimal cutoff scores of 6 and 7, respectively. At these cutoff scores, the sensitivity of both tools was .75, 95% CI [.55, .95]. The specificities were similar; .83 for the HITS, 95% CI [.73, .92], and .82 for the E-HITS, 95% CI [.72, .90]. Including a sexual IPV item may be clinically beneficial; it also attains the same accuracy of case identification as the HITS.

Hormone therapy use in women veterans accessing veterans health administration care: a national cross-sectional study.

UNLABELLED: The majority of women Veterans using VA (Veterans Administration) care fall in the 45-65 year-old age range. Understanding how menopause is managed in this group is of importance to optimizing their health. OBJECTIVE: National population estimates showed a prevalence of hormone therapy (HT) use by women over 45 years of 4.7 % (2009-2010). Our study described the frequency of HT use among women Veterans in VA, and examined whether mental health (MH) was predictive of HT use. DESIGN: This was a cross-sectional analysis of national VA administrative data for fiscal year 2009. PARTICIPANTS: Women Veterans over the age of 45 (N = 157,195) accessing VA outpatient care were included in the analysis. MAIN MEASURES: Logistic regression analyses using HT use as the dependent variable. KEY RESULTS: Mean age was 59.4 years (SD =12.2, range =46-110), and 16,227 (10.3 %) of all women used HT. Hysterectomy (OR 3.99 [3.53, 4.49]) and osteoporosis (1.34 [1.27, 1.42]) were the strongest medical indicators of HT use. A total of 49,557 (31.5 %) women in the sample received at least one primary diagnosis of a MH disorder and were more likely to use HT than women with no MH diagnoses (unadjusted OR 1.56, 95 % CI [1.50, 1.61]). Women Veterans with a mood disorder (depression/bipolar) or anxiety disorder [post-traumatic stress disorder (PTSD), other anxiety diagnoses] were more likely to use HT after controlling for demographics and medical comorbidity. CONCLUSION: The prevalence of HT use among women Veterans using VA is more than twice that of the general population. Prior work suggested that women Veterans were discontinuing HT at comparable rates, but these data demonstrate that decline in VA HT use has not kept pace with that of civilian medical care. The association of MH diagnosis with HT use suggests that MH plays an important role in VA rates. Further study is needed to understand contributing patient and provider factors.

Data mining in psychological treatment research: a primer on classification and regression trees.

Data mining of treatment study results can reveal unforeseen but critical insights, such as who receives the most benefit from treatment and under what circumstances. The usefulness and legitimacy of exploratory data analysis have received relatively little recognition, however, and analytic methods well suited to the task are not widely known in psychology. With roots in computer science and statistics, statistical learning approaches offer a credible option: These methods take a more inductive approach to building a model than is done in traditional regression, allowing the data greater role in suggesting the correct relationships between variables rather than imposing them a priori. Classification and regression trees are presented as a powerful, flexible exemplar of statistical learning methods. Trees allow researchers to efficiently identify useful predictors of an outcome and discover interactions between predictors without the need to anticipate and specify these in advance, making them ideal for revealing patterns that inform hypotheses about treatment effects. Trees can also provide a predictive model for forecasting outcomes as an aid to clinical decision making. This primer describes how tree models are constructed, how the results are interpreted and evaluated, and how trees overcome some of the complexities of traditional regression. Examples are drawn from randomized clinical trial data and highlight some interpretations of particular interest to treatment researchers. The limitations of tree models are discussed, and suggestions for further reading and choices in software are offered.

Clinical utility of an intimate partner violence screening tool for female VHA patients.

OBJECTIVES: Female Veterans are at high risk for physical, sexual, and psychological forms of intimate partner violence (IPV) victimization. This study evaluated the accuracy of a brief IPV victimization screening tool for use with female Veterans Health Administration (VHA) patients. DESIGN: Participants completed a paper-and-pencil mail survey that included the four-item Hurt/Insult/Threaten/Scream (HITS) and the 39-item Revised Conflict Tactics Scales (CTS-2). Operating characteristics, including sensitivity and specificity, were calculated using the CTS-2 as the reference standard for past-year IPV. PARTICIPANTS: Female veterans from a roster of randomly selected female patients of the New England VA Healthcare System. Women must have reported being in an intimate relationship in the past year to be included. MAIN MEASURES: Primary measures included the HITS (index test) and the CTS-2 (reference standard). KEY RESULTS: This study included 160 women. The percentage of women who reported past-year IPV, as measured by any physical assault, sexual coercion, and/or severe psychological aggression on the CTS-2, was 28.8 %. The receiver-operator characteristic curve demonstrated that the HITS cutoff score of 6 maximizes the true positives while minimizing the false positives in this sample. The sensitivity of the optimal HITS cutoff score of 6 was 78 % (95 % CI 64 % to 88 %), specificity 80 % (95 % CI 71 % to 87 %), positive likelihood ratio 3.9 (95 % CI 2.61 to 5.76), negative likelihood ratio 0.27 (95 % CI 0.16 to 0.47), positive predictive value 0.61 (95 % CI 0.47, 0.73), and negative predictive value 0.90 (95 % CI 0.82, 0.95). CONCLUSIONS: For a low-burden screen, the HITS demonstrated good accuracy in detecting past-year IPV relative to the CTS-2 in a sample of female VHA patients with an optimal cutpoint of 6. The HITS may help VHA and other health-care providers detect past-year IPV and deliver appropriate care for female Veterans.

Gender differences in posttraumatic stress symptoms among OEF/OIF veterans: an item response theory analysis.

Establishing whether men and women tend to express different symptoms of posttraumatic stress in reaction to trauma is important for both etiological research and the design of assessment instruments. Use of item response theory (IRT) can reveal how symptom reporting varies by gender and help determine if estimates of symptom severity for men and women are equally reliable. We analyzed responses to the PTSD Checklist (PCL) from 2,341 U.S. military veterans (51% female) who completed deployments in support of operations in Afghanistan and Iraq (Operation Enduring Freedom/Operation Iraqi Freedom [OEF/OIF]), and tested for differential item functioning by gender with an IRT-based approach. Among men and women with the same overall posttraumatic stress severity, women tended to report more frequent concentration difficulties and distress from reminders whereas men tended to report more frequent nightmares, emotional numbing, and hypervigilance. These item-level gender differences were small (on average d = 0.05), however, and had little impact on PCL measurement precision or expected total scores. For practical purposes, men's and women's severity estimates had similar reliability. This provides evidence that men and women veterans demonstrate largely similar profiles of posttraumatic stress symptoms following exposure to military-related stressors, and some theoretical perspectives suggest this may hold in other traumatized populations.

A critical evaluation of the complex PTSD literature: implications for DSM-5.

Complex posttraumatic stress disorder (CPTSD) has been proposed as a diagnosis for capturing the diverse clusters of symptoms observed in survivors of prolonged trauma that are outside the current definition of PTSD. Introducing a new diagnosis requires a high standard of evidence, including a clear definition of the disorder, reliable and valid assessment measures, support for convergent and discriminant validity, and incremental validity with respect to implications for treatment planning and outcome. In this article, the extant literature on CPTSD is reviewed within the framework of construct validity to evaluate the proposed diagnosis on these criteria. Although the efforts in support of CPTSD have brought much needed attention to limitations in the trauma literature, we conclude that available evidence does not support a new diagnostic category at this time. Some directions for future research are suggested.