Posttraumatic stress disorder following asthma attack: the role of agency beliefs in mediating psychiatric morbidity

Rates of and factors associated with atopy and allergies in posttraumatic stress disorder as compared to controls

OBJECTIVE

Several studies suggest a relationship between atopy and psychiatric disorders, but few have investigated the association between atopic conditions and posttraumatic stress disorder (PTSD). We sought to compare the rates of atopy and allergies in a South African case-control study of 220 patients with PTSD (mean age 41.7 years, SD = 11.7) and 196 trauma exposed controls (TEC, mean age 45.4 years, SD = 14.7) conducted in Cape Town, South Africa from May 2014 to June 2017.

METHODS

Self-reported atopic conditions and allergies were regressed on PTSD, as determined with the Clinician-Administered PTSD Scale for DSM-5 (CAPS-5), in multivariate logistic regression models, controlling for age, gender, body mass index, physical activity, lifetime and childhood trauma, and time since index trauma.

RESULTS

Rates of lifetime atopy (p = 0.03), current asthma (p = 0.04), lifetime allergic rhinitis (p = 0.002), and current allergic rhinitis (p = 0.004) were significantly higher in patients than TEC on bivariate analysis. On multivariate analysis, rates of current atopy (Cohen's d = 0.26, p = 0.04) and current allergic rhinitis (Cohen's d = 0.34, p = 0.012) were significantly higher in patients with PTSD than in TEC. Current eczema (p = 0.24), current asthma (p = 0.26), and allergies (p = 0.59) were not associated with PTSD.

CONCLUSIONS

Rates of atopy are higher in participants with PTSD than TEC, and this effect is related to higher rates of allergic rhinitis. Further studies are needed to elucidate the pathways linking allergic rhinitis and PTSD.

Predictors of outcome during inpatient psychotherapy for posttraumatic stress disorder: a single-treatment, multi-site, practice-based study

Objective: The aims of this study were to determine the effectiveness of a routine clinical care treatment and to identify predictors of treatment outcome in PTSD inpatients. Methods: A routinely collected data set of 612 PTSD inpatients (M = 42.3 years [SD = 11.6], 75.7% female) having received trauma-focused psychotherapy was analyzed. Primary outcome was the clinical symptom severity change score, secondary outcomes were assessed using functional, anxiety, and depression change scores. Hedges g-corrected pre-post effect sizes (ES) were computed for all outcomes. Elastic net regulation as a data-driven, stability-based machine-learning approach was used to build stable clinical prediction models. Results: Hedges g ES indicated medium to large effects on all outcomes. The results of the predictor analyses suggested that a combined predictor model with sociodemographic, clinical, and psychometric variables contribute to predicting different treatment outcomes. Across the clinical and functional outcome, psychoticism, total number of diagnoses, and bronchial asthma consistently showed a stable negative predictive relationship to treatment outcome. Conclusion: Trauma-focused psychotherapy could effectively be implemented in a routine inpatient setting. Some important prognostic variables could be identified. If the proposed models of predictors are replicated, they may help personalize treatment for patients receiving routine clinical care.