Faculty Bibliography

BACKGROUND:Racism-related stress is a root cause of racial and ethnic disparities in mental health outcomes. An individual may be exposed to racism directly or vicariously by hearing about or observing people of the same racial and/or ethnic group experience racism. Although the healthcare setting is a venue by which healthcare workers experience both direct and vicarious racism, few studies have assessed the associations between direct and vicarious racism and mental health outcomes among healthcare workers. METHODS:In this cross-sectional study, we assessed the relationships between direct and vicarious racism and symptoms of posttraumatic stress, depression, and anxiety among healthcare workers in the USA in 2022. RESULTS:Our sample consisted of 259 healthcare workers identifying as a racialized minority, including 68 (26.3%) who identified as mixed-race, 61 (23.6%) East Asian, 36 (13.9%) Black, 33 (12.7%) South Asian, 22 (8.5%) Southeast Asian, 21 (8.1%) Middle Eastern/North African, and 18 (6.9%) another race. The mean age was 37.9 years (SD 10.1). In multivariable linear regression models that adjusted for demographics, work stressors, and social stressors, we found that increased reporting of vicarious racism was associated with greater symptoms of anxiety (B = 0.066, standard error = 0.034, p = .049). We did not identify significant relationships between vicarious and direct racism and symptoms of posttraumatic stress or depression in the fully adjusted models. CONCLUSIONS:Our findings should be considered by academic health systems to mitigate the negative impact of racism on healthcare workers' mental health.

Women are at heightened risk for chronic stress-related psychological sequelae (SRPS), including major depressive disorder (MDD), generalized anxiety disorder (GAD), and posttraumatic stress disorder (PTSD) in response to potentially traumatic events, including the COVID-19 pandemic. However, few studies have examined pre- and peri-event stressors that could account for gender differences in chronic SRPS. To address this gap, we conducted a prospective cohort study of healthcare providers (HCPs) caring for patients with COVID-19 at a large tertiary care hospital in New York City, and measured mental health risk factors and symptoms of MDD, GAD, and PTSD at baseline (April 2020) and at a 7-month follow-up (December 2020). We defined chronic SRPS as the presence of probable MDD, GAD, and/or PTSD at both timepoints. We conducted a mediation analysis to evaluate whether pre- and peri-event stressors explained women's increased risk for chronic SRPS. Among our sample of 786 HCPs, 571 (72.6%) were women. Compared with men, women were twice as likely to have chronic SRPS (18.7% vs. 8.8%, χ²[1] = 11.38, p < 0.001). However, after accounting for pre- and peri-event stressors, being a woman was no longer associated with chronic SRPS (p = 0.58). The pre- and peri-event stressors that accounted for this heightened risk among women included being in a woman-prevalent profession (specifically nursing; estimate = 0.08, SE = 0.04, p = 0.05), pre-pandemic burnout (estimate = 0.11, SE = 0.05, p = 0.04), greater family-related (estimate = 0.09, SE = 0.03, p = 0.004), infection-related (estimate = 0.06, SE = 0.02, p = 0.007), and work-related concerns (estimate = 0.11, SE = 0.03, p < 0.001), and lower leadership support (estimate = 0.07, SE = 0.03, p = 0.005). These findings can inform institutional interventions to mitigate the risk of chronic SRPS among women HCPs.

The Society for Cardiovascular Angiography and Interventions (SCAI) Think Tank is a collaborative venture that brings together interventional cardiologists, administrative partners, and select members of the cardiovascular industry community annually for high-level field-wide discussions. The 2021 Think Tank was organized into four parallel sessions reflective of the field of interventional cardiology: (a) coronary intervention, (b) endovascular medicine, (c) structural heart disease, and (d) congenital heart disease. Each session was moderated by a senior content expert and co-moderated by a member of SCAI's Emerging Leader Mentorship program. This document presents the proceedings to the wider cardiovascular community in order to enhance participation in this discussion, create additional dialog from a broader base, and thereby aid SCAI, the industry community and external stakeholders in developing specific action items to move these areas forward.

This cross-sectional study aimed to address whether occupational stressors are associated with adverse mental health outcomes in first responders via lower social support. A total of 895 first responders including emergency medical technicians, paramedics, and firefighters from 50 US States and the Virgin Islands (mean = 37.32, standard deviation = 12.09, 59.2% male, and 91.3% White) completed an online survey. Bivariate analyses indicated that occupational stressors were positively correlated with posttraumatic stress disorder (PTSD), major depression (MD), and generalized anxiety disorder (GAD) symptoms, and negatively correlated with social support, whereas social support was negatively correlated with PTSD, MD, and GAD symptoms. Mediation analyses revealed significant indirect effects of occupational stressors on PTSD, MD, and GAD symptoms via social support, after controlling for covariates. Although longitudinal research is needed for a more robust examination of this pathway, the results highlight the importance of social support in first responders. Efforts to augment the support systems of first responders are recommended.

An amendment to this paper has been published and can be accessed via the original article.

BACKGROUND:Previous work has indicated that post-traumatic stress disorder (PTSD) symptoms, measured by the Clinician-Administered PTSD Scale (CAPS) within 60 days of trauma exposure, can reliably produce likelihood estimates of chronic PTSD among trauma survivors admitted to acute care centers. Administering the CAPS is burdensome, requires skilled professionals, and relies on symptoms that are not fully expressed upon acute care admission. Predicting chronic PTSD from peritraumatic responses, which are obtainable upon acute care admission, has yielded conflicting results, hence the rationale for a stepwise screening-and-prediction practice. This work explores the ability of peritraumatic responses to produce risk likelihood estimates of early CAPS-based PTSD symptoms indicative of chronic PTSD risk. It specifically evaluates the Peritraumatic Dissociative Experiences Questionnaire (PDEQ) as a risk-likelihood estimator. METHODS:We used individual participant data (IPD) from five acute care studies that used both the PDEQ and the CAPS (n = 647). Logistic regression calculated the probability of having CAPS scores ≥ 40 between 30 and 60 days after trauma exposure across the range of initial PDEQ scores, and evaluated the added contribution of age, sex, trauma type, and prior trauma exposure. Brier scores, area under the receiver-operating characteristic curve (AUC), and the mean slope of the calibration line evaluated the accuracy and precision of the predicted probabilities. RESULTS:Twenty percent of the sample had CAPS ≥ 40. PDEQ severity significantly predicted having CAPS ≥ 40 symptoms (p < 0.001). Incremental PDEQ scores produced a reliable estimator of CAPS ≥ 40 likelihood. An individual risk estimation tool incorporating PDEQ and other significant risk indicators is provided. CONCLUSION/CONCLUSIONS:Peritraumatic reactions, measured here by the PDEQ, can reliably quantify the likelihood of acute PTSD symptoms predictive of chronic PTSD and requiring clinical attention. Using them as a screener in a stepwise chronic PTSD prediction strategy may reduce the burden of later CAPS-based assessments. Other peritraumatic metrics may perform similarly and their use requires similar validation. TRIAL REGISTRATION/BACKGROUND:Jerusalem Trauma Outreach and Prevention Study (J-TOPS): NCT00146900.

BACKGROUND:Research exploring the longitudinal course of posttraumatic stress disorder (PTSD) symptoms has documented four modal trajectories (low, remitting, high, and delayed), with proportions varying across studies. Heterogeneity could be due to differences in trauma types and patient demographic characteristics. METHODS:This analysis pooled data from six longitudinal studies of adult survivors of civilian-related injuries admitted to general hospital emergency departments (EDs) in six countries (pooled N = 3083). Each study included at least three assessments of the clinician-administered PTSD scale in the first post-trauma year. Latent class growth analysis determined the proportion of participants exhibiting various PTSD symptom trajectories within and across the datasets. Multinomial logistic regression analyses examined demographic characteristics, type of event leading to the injury, and trauma history as predictors of trajectories differentiated by their initial severity and course. RESULTS:Five trajectories were found across the datasets: Low (64.5%), Remitting (16.9%), Moderate (6.7%), High (6.5%), and Delayed (5.5%). Female gender, non-white race, prior interpersonal trauma, and assaultive injuries were associated with increased risk for initial PTSD reactions. Female gender and assaultive injuries were associated with risk for membership in the Delayed (v. Low) trajectory, and lower education, prior interpersonal trauma, and assaultive injuries with risk for membership in the High (v. Remitting) trajectory. CONCLUSIONS:The results suggest that over 30% of civilian-related injury survivors admitted to EDs experience moderate-to-high levels of PTSD symptoms within the first post-trauma year, with those reporting assaultive violence at increased risk of both immediate and longer-term symptoms.

Exposure to disasters is associated with a range of posttraumatic stress symptom (PTSS) trajectories. However, few studies have tracked PTSS for more than a decade postdisaster, and none to our knowledge has explored the role of predisaster resources and vulnerabilities in shaping the likelihood of trajectory membership. The current study included participants from the Resilience in Survivors of Katrina Study (N = 885). Participants were originally part of a community college intervention study and were assessed prior to the hurricane (6-21 months predisaster), and approximately 1 year, 4 years, and 12 years postdisaster. Latent class growth analysis identified PTSS trajectories. Perceived social support, probable mental illness, and physical health conditions or problems-all assessed predisaster-were examined as predictors of trajectory membership at the univariate level and in multivariable models without and with adjustment for disaster exposure. Three PTSS trajectories were detected: Moderate-Decreasing (69.3%), High-Decreasing (23.1%), and High-Stable (7.6%). In the multivariable predictive model without adjustment for disaster exposure, probable predisaster mental illness was significantly associated with greater odds of the High-Decreasing and High-Stable trajectories, and physical health conditions or problems with greater odds of the High-Decreasing trajectory, relative to the Moderate-Decreasing trajectory. However, when disaster exposure was adjusted, only the association between predisaster mental illness and the odds of the High-Stable trajectory remained statistically significant. Lower predisaster perceived social support was significantly associated with membership in the High-Decreasing trajectory, relative to the Moderate-Decreasing, at the univariate level, but not in either multivariable model. Whereas predisaster mental illness confers risk for chronic postdisaster PTSS, other impacts of predisaster resources and vulnerabilities on elevated PTSS trajectories do not go beyond those of disaster exposure. The results support disaster preparedness efforts targeting those with mental and physical health conditions, and postdisaster mental health services addressing preexisting vulnerabilities in addition to disaster-related PTSS.

Evidence suggests that Social Anxiety Disorder (SAD) is less responsive to cognitive behavioral treatment (CBT) compared to other anxiety disorders. Therefore, exploring what might facilitate clinical benefit is essential. Social threat cognitions, characterized by exaggerated perceptions of negative evaluation by others, may be one important avenue to examine. The current study investigated whether youths' social threat cognitions decreased with Skills for Academic and Social Success (SASS), a group, school-based CBT designed for SAD, and whether decreases predicted SAD severity and treatment response. Participants included 138 high school students with SAD randomly assigned to SASS, or a nonspecific school counseling intervention. SASS participants showed significantly decreased social threat cognitions at 5-month follow-up. Treatment responders had significantly greater reductions in social threat cognitions compared to nonresponders at post-intervention and follow-up. These findings suggest that social threat cognitions may be important to assess and monitor when treating youth with SAD.

A timely determination of the risk of post-traumatic stress disorder (PTSD) is a prerequisite for efficient service delivery and prevention. We provide a risk estimate tool allowing a calculation of individuals' PTSD likelihood from early predictors. Members of the International Consortium to Predict PTSD (ICPP) shared individual participants' item-level data from ten longitudinal studies of civilian trauma survivors admitted to acute care centers in six countries. Eligible participants (N=2,473) completed an initial clinical assessment within 60 days of trauma exposure, and at least one follow-up assessment 4-15 months later. The Clinician-Administered PTSD Scale for DSM-IV (CAPS) evaluated PTSD symptom severity and diagnostic status at each assessment. Participants' education, prior lifetime trauma exposure, marital status and socio-economic status were assessed and harmonized across studies. The study's main outcome was the likelihood of a follow-up PTSD given early predictors. The prevalence of follow-up PTSD was 11.8% (9.2% for male participants and 16.4% for females). A logistic model using early PTSD symptom severity (initial CAPS total score) as a predictor produced remarkably accurate estimates of follow-up PTSD (predicted vs. raw probabilities: r=0.976). Adding respondents' female gender, lower education, and exposure to prior interpersonal trauma to the model yielded higher PTSD likelihood estimates, with similar model accuracy (predicted vs. raw probabilities: r=0.941). The current model could be adjusted for other traumatic circumstances and accommodate risk factors not captured by the ICPP (e.g., biological, social). In line with their use in general medicine, risk estimate models can inform clinical choices in psychiatry. It is hoped that quantifying individuals' PTSD risk will be a first step towards systematic prevention of the disorder.