Risk of COVID-19 Hospitalization and Protection Associated With mRNA Vaccination Among US Adults With Psychiatric Disorders.

BACKGROUND: Although psychiatric disorders have been associated with reduced immune responses to other vaccines, it remains unknown whether they influence COVID-19 vaccine effectiveness (VE). This study evaluated risk of COVID-19 hospitalization and estimated mRNA VE stratified by psychiatric disorder status. METHODS: In a retrospective cohort analysis of the VISION Network in four US states, the rate of laboratory-confirmed COVID-19-associated hospitalization between December 2021 and August 2022 was compared across psychiatric diagnoses and by monovalent mRNA COVID-19 vaccination status using Cox proportional hazards regression. RESULTS: Among 2,436,999 adults, 22.1% had ≥1 psychiatric disorder. The incidence of COVID-19-associated hospitalization was higher among patients with any versus no psychiatric disorder (394 vs. 156 per 100,000 person-years, p < 0.001). Any psychiatric disorder (adjusted hazard ratio [aHR], 1.27; 95% CI, 1.18-1.37) and mood (aHR, 1.25; 95% CI, 1.15-1.36), anxiety (aHR, 1.33, 95% CI, 1.22-1.45), and psychotic (aHR, 1.41; 95% CI, 1.14-1.74) disorders were each significant independent predictors of hospitalization. Among patients with any psychiatric disorder, aHRs for the association between vaccination and hospitalization were 0.35 (95% CI, 0.25-0.49) after a recent second dose, 0.08 (95% CI, 0.06-0.11) after a recent third dose, and 0.33 (95% CI, 0.17-0.66) after a recent fourth dose, compared to unvaccinated patients. Corresponding VE estimates were 65%, 92%, and 67%, respectively, and were similar among patients with no psychiatric disorder (68%, 92%, and 79%). CONCLUSION: Psychiatric disorders were associated with increased risk of COVID-19-associated hospitalization. However, mRNA vaccination provided similar protection regardless of psychiatric disorder status, highlighting its benefit for individuals with psychiatric disorders.

Specificity, frequency, and intent: Multiple characteristics of adolescents' suicide plan correlate with their history of suicidal behavior.

BACKGROUND: Suicide plans (SP) can be a common precipitant to suicidal behavior (SB) during adolescence, and SPs can vary in how specific they are, how frequently they are thought about, and how strongly they are intended to be enacted. To date, we have limited understanding of how discrete SP characteristics (i.e., specificity, frequency, and intent to act) present among adolescents, and whether they relate to SB. In the current study, we investigated SP characteristics and their association with SB history among adolescents who had previously considered suicide. METHODS: Participants were 142 community-based adolescents (14-19 years; M = 17.6, SD = 1.4) who reported a history of suicidal ideation. Adolescents provided responses pertaining to their SP history, SP characteristics, and SB history, via the Self-Injurious Thoughts and Behaviors Interview-Revised (SITBI-R). RESULTS: Greater specificity, frequency, and intent were each associated with modestly increased odds of reporting an SB history. The associations between plan specificity and SB history, as well as between frequency of thinking about one's SP and SB history, were mediated by adolescents' intent to act on their SP. CONCLUSIONS: It may not only be whether, but how, adolescents plan for suicide that relates to their tendency to engage in SB.

Feasibility of Linking Area Deprivation Index Data to the OMOP Common Data Model.

Linking Area Deprivation Index (ADI) scores to observational data offers the opportunity to characterize healthcare treatment and outcomes that are driven by socioeconomic deprivation. The current study aims to assess the feasibility of creating an analysis package to link ADI rankings to multiple patient-level EHR datasets transformed into the OMOP CDM. Patients within two cancer cohorts (breast cancer and multiple myeloma) were identified within two OMOP datasets and their records were linked with ADI scores using address information in the OMOP location table. With ADI linked to patient addresses, we generated visualizations showing the geographic distribution of each cohort based on ADI scores. Additionally, further assessment showed that over 89% of patient addresses could successfully be linked with ADI rankings. In conducting this assessment, we have demonstrated that developing a package to link ADI scores with multiple OMOP datasets is feasible.