Antidepressant exposure and long-term dementia risk in a nationwide retrospective study on US veterans with midlife major depressive disorder.

INTRODUCTION: The use of antidepressants in major depressive disorder (MDD) has been reported to influence long-term risk of Alzheimer's disease (AD) and AD-related dementias (AD/ADRD), but studies are conflicting. METHODS: We used inverse probability weighted (IPW) Cox models with time-varying covariates in a retrospective cohort study among midlife veterans with MDD within the US Veterans Affairs healthcare system from January 1, 2000 to June 1, 2022. RESULTS: A total of 35,200 patients with MDD were identified. No associations were seen regarding the effect of being exposed to any antidepressant versus no exposure on AD/ADRD risk (events = 1,056, hazard ratio = 0.94, 95% confidence interval: 0.81 to 1.09) or the exposure to specific antidepressant classes versus no exposure. A risk reduction was observed for female patients in a stratified analysis; however, the number of cases was small. DISCUSSION: Our study suggests that antidepressant exposure has no effect on AD/ADRD risk. The association in female patients should be interpreted with caution and requires further attention. HIGHLIGHTS: We studied whether antidepressant use was associated with future dementia risk. We specifically focused on patients after their first-ever diagnosis of depression. We used IPW Cox models with time-varying covariates and a large observation window. Our study did not identify an effect of antidepressant use on dementia risk. A risk reduction was observed in female patients, but the number of cases was small.

Quality Improvement Framework to Examine Health Care Disparities in Behavioral Emergency Management in the Inpatient Medical Setting: A Consultation-Liaison Psychiatry Health Equity Project.

BACKGROUND: De-escalation of behavioral emergencies in the inpatient medical setting may involve restrictive clinical interventions that directly challenge patient autonomy. OBJECTIVE: We describe a quality improvement framework used to examine associations between patient characteristics and behavioral emergency de-escalation strategies. This project may inform other Consultation-Liaison Psychiatry teams seeking to promote equity in care. METHODS: We examined behavioral emergency response team (BERT) management at an urban, tertiary-care medical center in the United States over a 3-year period. BERT data from an existing dataset were combined with demographic information from the hospital's electronic medical record. Race and ethnic identities were categorized as Black, Hispanic, Asian, White, and unknown. BERT events were coded based on the most restrictive intervention utilized per unique patient. Cross-tabulations and adjusted odds ratios from multivariate logistic regression were used to identify quality improvement targets in this exploratory project. RESULTS: The sample included N = 902 patients and 1532 BERT events. The most frequent intervention reached was verbal de-escalation (n = 419 patients, 46.45%) and the least frequent was 4-point restraints (n = 29 patients, 3.2%). Half of BERT activations for Asian and a third for Hispanic patients required interpreter services. Anxiety and cognitive disorders and 2 BERT interventions, verbal de-escalation, and intramuscular/intravenous/ medications, were significantly associated with race/ethnic category. The most restrictive intervention for BERTs involving Black and Asian patients were verbal de-escalation (60.1%) and intramuscular/intravenous(53.7%), respectively. These proportions were higher compared with other race/ethnic groups. There was a greater percentage of patients from the unknown (6.3%) and Black (5.9%) race/ethnic groups placed in 4-point restraints compared with other groups (3.2%) that did not reach statistical significance. A logistic regression model predicting 4-point restraints indicated that younger age, multiple BERTs, and violent behavior as a reason for BERT activation, but not race/ethnic group, resulted in significantly higher odds. CONCLUSIONS: This project illustrates that a quality improvement framework utilizing existing clinical data can be used to engage in organizational introspection and identify potential areas of bias in BERT management. Our findings suggest opportunities for further exploration, enhanced education, and programmatic improvements regarding BERT intervention; 4-point restraints; interpreter services; and the influence of race on perception of psychopathology.

The "Trauma Signature:" understanding the psychological consequences of the 2010 Haiti earthquake.

The 2010 Haiti earthquake was one of the most catastrophic episodes in history, leaving 5% of the nation's population killed or injured, and 19% internally displaced. The distinctive combination of earthquake hazards and vulnerabilities, extreme loss of life, and paralyzing damage to infrastructure, predicts population-wide psychological distress, debilitating psychopathology, and pervasive traumatic grief. However, mental health was not referenced in the national recovery plan. The limited MHPSS services provided in the first eight months generally lacked coordination and empirical basis.There is a need to customize and coordinate disaster mental health assessments, interventions, and prevention efforts around the novel stressors and consequences of each traumatic event. An analysis of the key features of the 2010 Haiti earthquake was conducted, defining its "Trauma Signature" based on a synthesis of early disaster situation reports to identify the unique assortment of risk factors for post-disaster mental health consequences. This assessment suggests that multiple psychological risk factors were prominent features of the earthquake in Haiti. For rapid-onset disasters, Trauma Signature (TSIG) analysis can be performed during the post-impact/pre-deployment phase to target the MHPSS response in a manner that is evidence-based and tailored to the event-specific exposures and experiences of disaster survivors. Formalization of tools to perform TSIG analysis is needed to enhance the timeliness and accuracy of these assessments and to extend this approach to human-generated disasters and humanitarian crises.