Examining the diagnostic utility of the DSM-5 PTSD symptoms among male and female returning veterans

Examining the psychometric properties of the PCL-5 in a black community sample using item response theory

Black Americans are more likely to be exposed to certain types of traumatic events and experience posttraumatic stress disorder (PTSD) compared to other racial groups. Consequently, sound assessment of PTSD in this underserved and understudied population is necessary to develop and accurately answer research questions about etiology and intervention efficacy. However, the item-level psychometric properties of one of the most commonly used assessment tools, the PTSD Checklist for DSM-5 (PCL-5), has yet to be examined among Black Americans. To address this gap, we used item response theory (IRT) to assess item difficulty and discrimination in a sample of Black American adults (n = 307). We employed a graded response model with all 20 items of the PCL-5 loading on to a latent PTSD factor. At clinically significant levels of PTSD, the most discriminating items were flashbacks, inability to experience positive emotions, and nightmares and the least discriminating items were cued emotional distress, diminished interest, and hypervigilance. These results emphasize the importance of flashbacks, inability to experience positive emotions, and nightmares and deemphasize the importance of hypervigilance and sleep difficulties when assessing for clinically significant symptoms of PTSD in Black Americans. Treatment implications include a nuanced approach towards hypervigilance.

An item response theory analysis of the PTSD checklist for DSM-5: Implications for DSM-5 and ICD-11

The PTSD Checklist (PCL) is a widely used, extensively validated questionnaire for posttraumatic stress disorder (PTSD). The PCL was revised for Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5; Friedman, 2013), and the updated version, the PCL-5, has continued the strong psychometric performance of the original version. To further explore the PCL-5's psychometric properties, we used item response theory (IRT) to examine item difficulty and discrimination parameters in separate samples of trauma-exposed undergraduates (N = 1213) and community members (N = 367). Considering item difficulty, nightmares, flashbacks, and reckless or self-destructive behavior emerged among the most difficult items across samples and internal avoidance emerged as the least difficult items across samples. In terms of item discrimination, inability to experience positive emotions, detachment from others, diminished interest, and negative emotions emerged as highly discriminating items in both samples, and traumatic amnesia and reckless or self-destructive behavior emerged as the least discriminating items in both samples. These results have implications for the divergent conceptualizations of PTSD in DSM-5 versus International Classification of Diseases, 11th Edition (ICD-11; WHO, 2018). Future research should employ IRT in a clinical population.

Patient Health Questionnaire-9 scores do not accurately estimate depression prevalence: individual participant data meta-analysis

OBJECTIVES

Depression symptom questionnaires are not for diagnostic classification. Patient Health Questionnaire-9 (PHQ-9) scores ≥10 are nonetheless often used to estimate depression prevalence. We compared PHQ-9 ≥10 prevalence to Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders (SCID) major depression prevalence and assessed whether an alternative PHQ-9 cutoff could more accurately estimate prevalence.

STUDY DESIGN AND SETTING

Individual participant data meta-analysis of datasets comparing PHQ-9 scores to SCID major depression status.

RESULTS

A total of 9,242 participants (1,389 SCID major depression cases) from 44 primary studies were included. Pooled PHQ-9 ≥10 prevalence was 24.6% (95% confidence interval [CI]: 20.8%, 28.9%); pooled SCID major depression prevalence was 12.1% (95% CI: 9.6%, 15.2%); and pooled difference was 11.9% (95% CI: 9.3%, 14.6%). The mean study-level PHQ-9 ≥10 to SCID-based prevalence ratio was 2.5 times. PHQ-9 ≥14 and the PHQ-9 diagnostic algorithm provided prevalence closest to SCID major depression prevalence, but study-level prevalence differed from SCID-based prevalence by an average absolute difference of 4.8% for PHQ-9 ≥14 (95% prediction interval: -13.6%, 14.5%) and 5.6% for the PHQ-9 diagnostic algorithm (95% prediction interval: -16.4%, 15.0%).

CONCLUSION

PHQ-9 ≥10 substantially overestimates depression prevalence. There is too much heterogeneity to correct statistically in individual studies.

Posttraumatic Stress Disorder Symptom Network Structures: A Comparison Between Men and Women

This study estimated gender differences in the posttraumatic stress disorder (PTSD) symptom network structure (i.e., the unique associations across symptoms) using network analysis in a Latin American sample. Participants were 1,104 adults, taken from epidemiological studies of mental health following natural disasters and accidents in Mexico and Ecuador. Symptoms of DSM-IV PTSD were measured dichotomously with the Spanish version of the Composite International Diagnostic Interview. We estimated the PTSD symptom network of the full sample and in male and female subsamples as well as indices of centrality, the stability and accuracy of the modeled networks, and communities of nodes within each network. The male and female networks were compared statistically using the Network Comparison Test (NCT). Results indicated strength centrality was the only stable centrality measure, with correlation stability (CS) coefficients of .59, .28, and .44 for the full, male, and female networks, respectively. We found the most central symptoms, measured by strength centrality, were loss of interest and flashbacks for men; and concentration impairment, avoiding thoughts/feelings, and physiological reactivity for women. The NCT revealed that the global structure (M = 0.84), p = .704, and global strength (S = 5.04), p = .556, of the male and female networks did not differ significantly. Although some gender differences in the most central symptoms emerged, thus offering some evidence for gender differences pending replication in larger samples, on the whole, our results suggest that once PTSD develops, the way the symptoms are associated does not differ substantially between men and women.

Prevalence and comorbidity of the ICD-11 and DSM-5 for PTSD caseness with previous diagnostic manuals among the Japanese population

Background: The diagnostic criteria for posttraumatic stress disorder (PTSD) differ between DSM-5 and ICD-11, which may affect the estimation of prevalence. Objective: To investigate the concordance of ICD-11 and DSM-5, as compared to ICD-10 and DSM-IV, regarding PTSD caseness among Japanese people who had experienced different potentially traumatic events. In addition, we estimated the comorbidity with major depressive disorder and generalized anxiety disorder according to these four diagnostic manuals. Method: A web-based survey (n = 6,180) was conducted from November 2016 to March 2017. Participants completed the PTSD Checklist for DSM-5, and other standardized measures of PTSD, depression, and anxiety. Results: The prevalence of PTSD caseness according to ICD-11 was significantly lower as compared to DSM-IV, DSM-5, and ICD-10. Cohen's kappa between DSM-5 and ICD-11 was 0.79, indicating substantial agreement. Comorbidity with depression was significantly higher in unique DSM-5 cases than in unique ICD-11 cases. Unique DSM-5 PTSD cases were significantly stronger functionally impaired than unique ICD-11 PTSD cases. Conclusions: Although requiring fewer items, the ICD-11 showed substantial agreement with DSM-5 regarding PTSD caseness. The lower comorbidity rates in unique cases may support the concept of the ICD-11 which intends to reduce comorbidity by identifying the core elements of PTSD.

Disturbed effective connectivity patterns in an intrinsic triple network model are associated with posttraumatic stress disorder

BACKGROUND

Disturbance of the triple network model was recently proposed to be associated with the occurrence of posttraumatic stress disorder (PTSD) symptoms. Based on resting-state dynamic causal modeling (rs-DCM) analysis, we investigated the neurobiological model at a neuronal level along with potential neuroimaging biomarkers for identifying individuals with PTSD.

METHODS

We recruited survivors of a devastating typhoon including 27 PTSD patients, 33 trauma-exposed controls (TECs), and 30 healthy controls without trauma exposure. All subjects underwent resting-state functional magnetic resonance imaging. Independent components analysis was used to identify triple networks. Detailed effective connectivity patterns were estimated by rs-DCM analysis. Spearman correlation analysis was performed on aberrant DCM parameters with clinical assessment results relevant to PTSD diagnosis. We also carried out step-wise binary logistic regression and receiver operating characteristic curve (ROC) analysis to confirm the capacity of altered effective connectivity parameters to distinguish PTSD patients.

RESULTS

Within the executive control network, enhanced positive connectivity from the left posterior parietal cortex to the left dorsolateral prefrontal cortex was correlated with intrusion symptoms and showed good performance (area under the receiver operating characteristic curve = 0.879) in detecting PTSD patients. In the salience network, we observed a decreased causal flow from the right amygdala to the right insula and a lower transit value for the right amygdala in PTSD patients relative to TECs.

CONCLUSION

Altered effective connectivity patterns in the triple network may reflect the occurrence of PTSD symptoms, providing a potential biomarker for detecting patients. Our findings shed new insight into the neural pathophysiology of PTSD.