Reciprocal changes in functioning and PTSD symptoms over the course of psychotherapy.

Psychotherapies for posttraumatic stress disorder (PTSD) assume that PTSD symptom improvement will lead to improvements in functioning. Yet, few studies have examined the dynamic interplay between these constructs. Using a random intercepts cross-lagged panel model, we examined the association between functioning and PTSD, both modeled as a total score and as the DSM-5 subclusters, across twelve sessions of treatments that chiefly target functioning. Participants were 161 Veterans with PTSD enrolled in a randomized controlled trial comparing present centered therapy and an enhanced version of adaptive disclosure. Overall, PTSD symptoms, measured as the total PTSD score, led to changes in functioning more frequently than functioning predicting PTSD symptoms, although these effects did not appear until session 7. In terms of subclusters, functioning predicted changes in the PTSD subclusters B (intrusions), C (avoidance), and E (alterations in arousal and reactivity) at more timepoints compared to timepoints at which these subclusters predicted functioning. The dynamic relationships between PTSD and functioning in the context of functioning-focused treatments are complex, with functioning playing an important role in reduction of some of the core symptoms of PTSD.

A controlled trial of adaptive disclosure-enhanced to improve functioning and treat posttraumatic stress disorder.

OBJECTIVE: This is a randomized controlled trial (NCT03056157) of an enhanced adaptive disclosure (AD) psychotherapy compared to present-centered therapy (PCT; each 12 sessions) in 174 veterans with posttraumatic stress disorder (PTSD) related to traumatic loss (TL) and moral injury (MI). AD employs different strategies for different trauma types. AD-Enhanced (AD-E) uses letter writing (e.g., to the deceased), loving-kindness meditation, and bolstered homework to facilitate improved functioning to repair TL and MI-related trauma. METHOD: The primary outcomes were the Sheehan Disability Scale (SDS), evaluated at baseline, throughout treatment, and at 3- and 6-month follow-ups (Brief Inventory of Psychosocial Functioning was also administered), the Clinician-Administered PTSD Scale (CAPS-5), the Dimensions of Anger Reactions, the Revised Conflict Tactics Scale, and the Quick Drinking Screen. RESULTS: There were statistically significant between-group differences on two outcomes: The intent-to-treat (ITT) mixed-model analysis of SDS scores indicated greater improvement from baseline to posttreatment in the AD-E group (d = 2.97) compared to the PCT group, d = 1.86; -2.36, 95% CI [-3.92, -0.77], t(1,510) = -2.92, p < .001, d = 0.15. Twenty-one percent more AD-E cases made clinically significant changes on the SDS than PCT cases. From baseline to posttreatment, AD-E was also more efficacious on the CAPS-5 (d = 0.39). These differential effects did not persist at follow-up intervals. CONCLUSION: This was the first psychotherapy of veterans with TL/MI-related PTSD to show superiority relative to PCT with respect to functioning and PTSD, although the differential effect sizes were small to medium and not maintained at follow-up. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

An examination of the criterion-related validity of varying methods of indexing clinically significant change in posttraumatic stress disorder treatment.

OBJECTIVE: Clinicians, patients, and researchers need benchmarks to index individual-level clinically significant change (CSC) to guide decision making and inferences about treatment efficacy. Yet, there is no consensus best practice for determining CSC for posttraumatic stress disorder (PTSD) treatments. We examined criterion-related validity of the most common approach-Jacobson and Truax's (J&T; 1991) procedures for indexing CSC. We generated and compared four methods of calculating the J&T indices of CSC (two sets of sample-specific inputs, putatively norm-referenced benchmarks, and a combination of sample-specific and norm-referenced criteria) with respect to their association with a criterion index of quality of life (QoL). METHOD: Participants were 91 women Veterans enrolled in a randomized clinical trial for PTSD who completed self-report measures on PTSD symptoms and various domains of QoL and functioning, pre- and posttreatment. For each of the four methods used to calculate CSC, the QoL composite was regressed onto the CSC categories. RESULTS: All methods explained large variance in change in QoL. Across all methods, participants categorized as unchanged had smaller changes in QoL, compared with those who improved or had probable recovery. The norm-referenced benchmarks accounted for the relatively largest amount of variance in QoL, but categorized the fewest patients as having made CSC. CONCLUSIONS: The J&T methodology for indexing CSC in PTSD symptoms has criterion-related validity, and a norm-referenced benchmark appears to be the most potent. However, the norm-referenced parameters may be overly specific, potentially leading to an underestimate of improvement. Research is needed to test the generalizability of these results. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Expected symptom change trajectories for the early identification of probable treatment nonresponse in VA PTSD specialty care clinics: A proof-of-concept.

The purpose of measurement-based care (MBC) is to detect treatment nonresponse sufficiently early in treatment to adjust treatment plans and prevent failure or dropout. Thus, the potential of MBC is to provide the infrastructure for a flexible, patient-centered approach to evidence-based care. However, MBC is underutilized across the Department of Veterans Affairs (VA) posttraumatic stress disorder (PTSD) specialty clinics, likely because no actionable, empirically determined guidelines for using repeated measurement effectively are currently available to clinicians. With data collected as part of routine care in VA PTSD specialty clinics across the United States in the year prior to COVID-19 (n = 2,182), we conducted a proof-of-concept for a method of generating session-by-session benchmarks of probable patient nonresponse to treatment, which can be visualized alongside individual patient data using the most common measure of PTSD symptoms used in VA specialty clinics, the PTSD Checklist for Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (PCL-5). Using survival analysis, we first identified the probability of cases reaching clinically significant change at each session, as well as any significant moderators of treatment response. We then generated a multilevel model with initial symptom burden predicting the trajectory of PCL-5 scores across sessions. Finally, we determined the slowest changing 50% and 60% of all cases to generate benchmarks at each session for each level of the predictor(s) and then assessed the accuracy of these benchmarks at each session for classifying treatment responders and nonresponders. The final models were able to accurately identify nonresponders as early as the sixth session of treatment. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Leveraging available metadata in VA PTSD clinics and generating benchmarks for clinically significant change.

OBJECTIVE: Measurement-based care is designed to track symptom levels during treatment and leverage clinically significant change benchmarks to improve quality and outcomes. Though the Veterans Health Administration promotes monitoring progress within posttraumatic stress disorder (PTSD) clinical teams, actionability of data is diminished by a lack of population-based benchmarks for clinically significant change. We reported the state of repeated measurement within PTSD clinical teams, generated benchmarks, and examined outcomes based on these benchmarks. METHOD: PTSD Checklist for the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition data were culled from the Corporate Data Warehouse from the pre-COVID-19 year for Veterans who received at least eight sessions in 14 weeks (episode of care [EOC] cohort) and those who received sporadic care (modal cohort). We used the Jacobson and Truax (1991) approach to generate clinically significant change benchmarks at clinic, regional, and national levels and calculated the frequency of cases that deteriorated, were unchanged, improved, or probably recovered, using our generated benchmarks and benchmarks from a recent study, for both cohorts. RESULTS: Both the number of repeated measurements and the cases who had multisession care in the Corporate Data Warehouse were very low. Clinically significant change benchmarks were similar across locality levels. The modal cohort had worse outcomes than the EOC cohort. CONCLUSIONS: National benchmarks for clinically significant change could improve the actionability of assessment data for measurement-based care. Benchmarks created using data from Veterans who received multisession care had better outcomes than those receiving sporadic care. Measurement-based care in PTSD clinical teams is hampered by low rates of repeated assessments of outcome. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Adaptive disclosure, a combat-specific PTSD treatment, versus cognitive-processing therapy, in deployed marines and sailors: A randomized controlled non-inferiority trial.

Adaptive Disclosure (AD) is a new emotion-focused psychotherapy for combat-related PTSD. As a second step in the evaluation process, we conducted a non-inferiority (NI) trial of AD, relative to Cognitive Processing Therapy - Cognitive Therapy version (CPT-C), an established first-line psychotherapy. Participants were 122 U.S. Marines and Sailors. The primary endpoint was PTSD symptom severity change from pre- to posttreatment, using the Clinician Administered PTSD Scale for DSM-IV. Secondary endpoints were depression (Patient Health Questionnaire-9; PHQ-9) and functioning (Veterans Rand Health Survey-12; VR-12). For cases with complete data, the mean difference in CAPS-IV change scores was 0.33 and the confidence interval (CI) did not include the predefined NI margin (95% CI =-10.10, 9.44). The mean difference in PHQ-9 change scores was -1.01 and the CI did not include the predefined margin (95% CI = -3.31, 1.28), as was the case for the VR-12 Physical Component and VR-12 Mental Component subscale scores (0.27; 95% CI = -4.50, 3.95, and -2.10; 95% CI = -7.03, 2.83, respectively). A series of intent-to-treat sensitivity analyses confirmed these results. The differential effect size for CAPS-IV was d = 0.01 (nonsignificant). As predicted, Adaptive Disclosure was found to be no less effective than a first-line psychotherapy.

Parameters of Aggressive Behavior in a Treatment-Seeking Sample of Military Personnel: A Secondary Analysis of Three Randomized Controlled Trials of Evidence-Based PTSD Treatments.

Aggressive behavior is prevalent among veterans of post-9/11 conflicts who have posttraumatic stress disorder (PTSD). However, little is known about whether PTSD treatments reduce aggression or the direction of the association between changes in PTSD symptoms and aggression in the context of PTSD treatment. We combined data from three clinical trials of evidence-based PTSD treatment in service members (N = 592) to: (1) examine whether PTSD treatment reduces psychological (e.g., verbal behavior) and physical aggression, and; (2) explore temporal associations between aggressive behavior and PTSD. Both psychological (Estimate = -2.20, SE = 0.07) and physical aggression (Estimate = -0.36, SE = 0.05) were significantly reduced from baseline to posttreatment follow-up. Lagged PTSD symptom reduction was not associated with reduced reports of aggression; however, higher baseline PTSD scores were significantly associated with greater reductions in psychological aggression (exclusively; ß = -0.67, 95% CI = -1.05, -0.30, SE = -3.49). Findings reveal that service members receiving PTSD treatment report substantial collateral changes in psychological aggression over time, particularly for participants with greater PTSD symptom severity. Clinicians should consider cotherapies or alternative ways of targeting physical aggression among service members with PTSD and alternative approaches to reduce psychological aggression among service members with relatively low PTSD symptom severity when considering evidence-based PTSD treatments.

Patterns and predictors of change in trauma-focused treatments for war-related posttraumatic stress disorder.

OBJECTIVE: We evaluated patterns and predictors of change from three efficacy trials of trauma-focused cognitive-behavioral treatments (TF-CBT) among service members (N = 702; mean age = 32.88; 89.4% male; 79.8% non-Hispanic/Latino). Rates of clinically significant change were also compared with other trials. METHOD: The trials were conducted in the same setting with identical measures. The primary outcome was symptom severity scores on the PTSD Symptom Scale-Interview Version (PSS-I; Foa, Riggs, Dancu, & Rothbaum, 1993). RESULTS: Symptom change was best explained by baseline scores and individual slopes. TF-CBT was not associated with better slope change relative to Present-Centered Therapy, a comparison arm in 2 trials. Lower baseline scores (ß = .33, p < .01) and higher ratings of treatment credibility (ß = -.22, p < .01) and expectancy for change (ß = -.16, p < .01) were associated with greater symptom change. Older service members also responded less well to treatment (ß = .09, p < .05). Based on the Jacobson and Truax (1991) metric for clinically significant change, 31% of trial participants either recovered or improved. CONCLUSIONS: Clinicians should individually tailor treatment for service members with high baseline symptoms, older patients, and those with low levels of credibility and expectancy for change. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Dynamic changes in marines' reports of PTSD symptoms and problem alcohol use across the deployment cycle.

Posttraumatic stress disorder (PTSD) and alcohol misuse are commonly co-occurring problems in active-duty service members (SMs) and veterans. Unfortunately, relatively little is known about the temporal associations between these problems in the acute period following exposure to combat stressors. Discerning the temporal associations between these problems across the deployment cycle could inform prevention and treatment efforts. In this study, we examined the association between PTSD symptom severity and problem alcohol use in a large cohort of United States Marines (n = 758) evaluated prior to deployment and approximately 1, 5, and 8 months postdeployment. Results indicate that problem alcohol use was associated with a subsequent exacerbation of PTSD symptoms between the 1st and 2nd and 2nd and 3rd postdeployment assessments. PTSD symptom severity was associated with increased problem alcohol use between the 1st and 2nd postdeployment assessments. These findings suggest that problem drinking may lead to new onset or worsening of PTSD symptoms over time and that SMs with greater PTSD symptom severity upon returning from deployment may increase alcohol use in the weeks immediately following homecoming. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Relation of Left Ventricular Mass and Infarct Size in Anterior Wall ST-Segment Elevation Acute Myocardial Infarction (from the EMBRACE STEMI Clinical Trial).

Biomarker measures of infarct size and myocardial salvage index (MSI) are important surrogate measures of clinical outcomes after a myocardial infarction. However, there is variability in infarct size unaccounted for by conventional adjustment factors. This post hoc analysis of Evaluation of Myocardial Effects of Bendavia for Reducing Reperfusion Injury in Patients With Acute Coronary Events (EMBRACE) ST-Segment Elevation Myocardial Infarction (STEMI) trial evaluates the association between left ventricular (LV) mass and infarct size as assessed by areas under the curve for creatine kinase-MB (CK-MB) and troponin I release over the first 72 hours (CK-MB area under the curve [AUC] and troponin I [TnI] AUC) and the MSI. Patients with first anterior STEMI, occluded left anterior descending artery, and available LV mass measurement in EMBRACE STEMI trial were included (n = 100) (ClinicalTrials.govNCT01572909). MSI, end-diastolic LV mass on day 4 cardiac magnetic resonance, and CK-MB and troponin I concentrations were evaluated by a core laboratory. After saturated multivariate analysis, dominance analysis was performed to estimate the contribution of each independent variable to the predicted variance of each outcome. In multivariate models that included age, gender, body surface area, lesion location, smoking, and ischemia time, LV mass remained independently associated with biomarker measures of infarct size (CK-MB AUC p = 0.02, TnI AUC p = 0.03) and MSI (p = 0.003). Dominance analysis demonstrated that LV mass accounted for 58%, 47%, and 60% of the predicted variances for CK-MB AUC, TnI AUC, and MSI, respectively. In conclusion, LV mass accounts for approximately half of the predicted variance in biomarker measures of infarct size. It should be considered as an adjustment variable in studies evaluating infarct size.