Patients with posttraumatic stress disorder (PTSD) exhibit smaller regional brain volumes in commonly reported regions including the amygdala and hippocampus, regions associated with fear and memory processing. In the current study, we have conducted a voxel-based morphometry (VBM) meta-analysis using whole-brain statistical maps with neuroimaging data from the ENIGMA-PGC PTSD working group.

T1-weighted structural neuroimaging scans from 36 cohorts (PTSD n = 1309; controls n = 2198) were processed using a standardized VBM pipeline (ENIGMA-VBM tool). We meta-analyzed the resulting statistical maps for voxel-wise differences in gray matter (GM) and white matter (WM) volumes between PTSD patients and controls, performed subgroup analyses considering the trauma exposure of the controls, and examined associations between regional brain volumes and clinical variables including PTSD (CAPS-4/5, PCL-5) and depression severity (BDI-II, PHQ-9).

PTSD patients exhibited smaller GM volumes across the frontal and temporal lobes, and cerebellum, with the most significant effect in the left cerebellum (Hedges’ g = 0.22, pcorrected = .001), and smaller cerebellar WM volume (peak Hedges’ g = 0.14, pcorrected = .008). We observed similar regional differences when comparing patients to trauma-exposed controls, suggesting these structural abnormalities may be specific to PTSD. Regression analyses revealed PTSD severity was negatively associated with GM volumes within the cerebellum (pcorrected = .003), while depression severity was negatively associated with GM volumes within the cerebellum and superior frontal gyrus in patients (pcorrected = .001).

PTSD patients exhibited widespread, regional differences in brain volumes where greater regional deficits appeared to reflect more severe symptoms. Our findings add to the growing literature implicating the cerebellum in PTSD psychopathology.

Long-acting injectable antipsychotics (LAIs) have demonstrated better rates of adherence among patients with schizophrenia than oral antipsychotics (OAs). While LAIs often cost more than OAs, better adherence can lead to cost offsets in other areas.

The purpose of this LAI Cost-Offset Value Calculator (LCVC) model is to provide an evidence-based model that estimates total costs and total cost offsets for a hypothetical population of adult patients with schizophrenia treated with atypical LAIs relative to second-generation oral antipsychotics (SGOAs) in the United States.

The model was derived based on studies included in a recent meta-analysis of patients who relapsed while taking an SGOA and were either switched to an atypical LAI or continued an SGOA. User inputs to the model include population size and payer archetype. The model then estimates the difference in adherence rates, relapse rates, hospitalizations, hospital days, hospital costs, emergency department (ED) visits, ED costs, and pharmacy costs, as well as cost offsets overall and by source (ie, hospitalization, ED, pharmacy).

In the base case, representing a hypothetical cohort of 1000 adult patients with schizophrenia in the United States and a composite payer archetype, 1-year pharmacy costs were higher for patients who switched to an LAI relative to patients who continued taking an SGOA ($14,561,971 vs $7,203,142). However, cost offsets were observed for other dimensions of direct costs, including lower ED costs ($1,664,808 vs $2,241,483) and substantially lower hospital costs ($23,623,612 vs $44,195,100) due to fewer relapses (409 vs 508). For some payer archetypes (ie, Medicare and Veteran Affairs), the cost offsets completely covered the higher pharmacy costs for LAIs; for others (ie, Commercial and Medicaid), the cost offsets partially covered the higher pharmacy costs for LAIs, though sometimes substantially.

Despite potential higher pharmacy costs for LAIs, this model supports the conclusion that those costs could be mitigated by cost offsets in other areas, with varying results depending on payer archetype. The LCVC model, parameterized using real-world data extracted from a recent systematic review and meta-analysis, may be helpful for payers in understanding the potential cost offsets of switching patients with schizophrenia who have relapsed while taking OAs to LAIs. To our knowledge, there are no similar studies for schizophrenia that calculate cost offsets based solely on empirical evidence of patients who failed on OAs.

Teva Branded Pharmaceutical Products R&D, Inc.

Healthcare professionals (HCPs) face unique challenges when managing patients with schizophrenia. Educational initiatives targeting common clinical dilemmas encountered by clinicians, including partial or nonadherence, may alleviate knowledge gaps and clarify the role of long-acting injectable antipsychotic agents (LAIs) in treating this population.

4 experts in schizophrenia management used empirical evidence to identify 11 key clinical dilemmas where LAIs may be useful. These experts then developed a heuristic, educational tool (S.C.O.P.E.™: Schizophrenia Clinical Outcome Scenarios and Patient-Provider Engagement) based on empirical evidence and expert opinion for clinicians to use when encountering similar scenarios to optimize schizophrenia care.

S.C.O.P.E.™ is a freely-available resource comprising an interactive digital platform providing educational materials for HCPs involved in continued care for patients with schizophrenia. S.C.O.P.E.™ provides HCPs with considerations in common clinical scenarios met in inpatient and outpatient settings, as well as questions to consider when patients present to the emergency department. The potential usefulness of LAIs is explored in each scenario. Clinical education videos prepare nurse practitioners, social workers, and case managers to address patient concerns and communicate the benefits of LAI treatment. S.C.O.P.E.™ will not replace clinical judgment, guidelines, or continuing medical education, and is not a platform for recording patient-level data, nor intended for payer negotiations or access-related questions by HCPs.

S.C.O.P.E.™ is an educational tool for HCPs to use alongside standard psychiatric evaluations to improve understanding of how to manage common clinical dilemmas when treating patients with schizophrenia and the role of LAIs in schizophrenia management.

Teva Branded Pharmaceutical Products R&D, Inc.

Healthcare professionals (HCPs) face unique challenges when managing patients with schizophrenia. Educational initiatives targeting common clinical dilemmas encountered by clinicians, such as unfamiliarity with prescribing information for long-acting injectable antipsychotics (LAIs), may assist clinicians when treating patients with schizophrenia.

Four experts in schizophrenia management used empirical evidence to identify 11 key clinical dilemmas where LAIs may be useful. These experts then developed a heuristic, educational tool (S.C.O.P.E.™: Schizophrenia Clinical Outcome Scenarios and Patient-Provider Engagement) based on empirical evidence and expert opinion for clinicians to use when encountering similar scenarios to optimize schizophrenia care. S.C.O.P.E.™ also includes supportive elements such as an LAI selector.

S.C.O.P.E.™ is a freely available resource comprising an interactive digital platform providing educational materials for HCPs involved in continued care for patients with schizophrenia. To acquaint HCPs with characteristics of common LAIs used in schizophrenia treatment, S.C.O.P.E.™ offers a selector that filters LAIs by approved indication(s), initiation regimen, reconstitution, dosing strengths and frequency, injection volumes and routes, and supply and storage information based on approved product labels. The LAI selector does not provide LAI safety and efficacy data, so HCPs should visit individual product websites for this information. Therefore, S.C.O.P.E.™ will not replace clinical judgment, guidelines, or continuing medical education, and is not a platform for recording patient-level data, nor intended for payer negotiations or access-related questions by HCPs.

S.C.O.P.E.™ is an educational tool for HCPs to use alongside standard psychiatric evaluations to improve understanding of how to manage common clinical dilemmas when treating patients with schizophrenia, the role of LAIs in schizophrenia management, and the product characteristics of available LAIs.

Teva Branded Pharmaceutical Products R&D, Inc.

Although the link between alcohol involvement and behavioral phenotypes (e.g. impulsivity, negative affect, executive function [EF]) is well-established, the directionality of these associations, specificity to stages of alcohol involvement, and extent of shared genetic liability remain unclear. We estimate longitudinal associations between transitions among alcohol milestones, behavioral phenotypes, and indices of genetic risk.

Data came from the Collaborative Study on the Genetics of Alcoholism (n = 3681; ages 11–36). Alcohol transitions (first: drink, intoxication, alcohol use disorder [AUD] symptom, AUD diagnosis), internalizing, and externalizing phenotypes came from the Semi-Structured Assessment for the Genetics of Alcoholism. EF was measured with the Tower of London and Visual Span Tasks. Polygenic scores (PGS) were computed for alcohol-related and behavioral phenotypes. Cox models estimated associations among PGS, behavior, and alcohol milestones.

Externalizing phenotypes (e.g. conduct disorder symptoms) were associated with future initiation and drinking problems (hazard ratio (HR)⩾1.16). Internalizing (e.g. social anxiety) was associated with hazards for progression from first drink to severe AUD (HR⩾1.55). Initiation and AUD were associated with increased hazards for later depressive symptoms and suicidal ideation (HR⩾1.38), and initiation was associated with increased hazards for future conduct symptoms (HR = 1.60). EF was not associated with alcohol transitions. Drinks per week PGS was linked with increased hazards for alcohol transitions (HR⩾1.06). Problematic alcohol use PGS increased hazards for suicidal ideation (HR = 1.20).

Behavioral markers of addiction vulnerability precede and follow alcohol transitions, highlighting dynamic, bidirectional relationships between behavior and emerging addiction.