Posttraumatic stress disorder (PTSD) has been associated with advanced epigenetic age cross-sectionally, but the association between these variables over time is unclear. This study conducted meta-analyses to test whether new-onset PTSD diagnosis and changes in PTSD symptom severity over time were associated with changes in two metrics of epigenetic aging over two time points.

We conducted meta-analyses of the association between change in PTSD diagnosis and symptom severity and change in epigenetic age acceleration/deceleration (age-adjusted DNA methylation age residuals as per the Horvath and GrimAge metrics) using data from 7 military and civilian cohorts participating in the Psychiatric Genomics Consortium PTSD Epigenetics Workgroup (total N = 1,367).

Meta-analysis revealed that the interaction between Time 1 (T1) Horvath age residuals and new-onset PTSD over time was significantly associated with Horvath age residuals at T2 (meta β = 0.16, meta p = 0.02, p-adj = 0.03). The interaction between T1 Horvath age residuals and changes in PTSD symptom severity over time was significantly related to Horvath age residuals at T2 (meta β = 0.24, meta p = 0.05). No associations were observed for GrimAge residuals.

Results indicated that individuals who developed new-onset PTSD or showed increased PTSD symptom severity over time evidenced greater epigenetic age acceleration at follow-up than would be expected based on baseline age acceleration. This suggests that PTSD may accelerate biological aging over time and highlights the need for intervention studies to determine if PTSD treatment has a beneficial effect on the aging methylome.

People with severe mental illness (SMI) have a higher risk of premature mortality than the general population.

To investigate whether the life expectancy gap for people with SMI is widening, by determining time trends in excess life-years lost.

This population-based study included people with SMI (schizophrenia, bipolar disorder and major depression) alive on 1 January 2000. We ascertained SMI from psychiatric hospital admission records (1981–2019), and deaths via linkage to the national death register (2000–2019). We used the Life Years Lost (LYL) method to estimate LYL by SMI and sex, compared LYL to the Scottish population and assessed trends over 18 3-year rolling periods.

We included 28 797 people with schizophrenia, 16 657 with bipolar disorder and 72 504 with major depression. Between 2000 and 2019, life expectancy increased in the Scottish population but the gap widened for people with schizophrenia. For 2000–2002, men and women with schizophrenia lost an excess 9.4 (95% CI 8.5–10.3) and 8.2 (95% CI 7.4–9.0) life-years, respectively, compared with the general population. In 2017–2019, this increased to 11.8 (95% CI 10.9–12.7) and 11.1 (95% CI 10.0–12.1). The life expectancy gap was lower for bipolar disorder and depression and unchanged over time.

The life expectancy gap in people with SMI persisted or widened from 2000 to 2019. Addressing this entrenched disparity requires equitable social, economic and health policies, healthcare re-structure and improved resourcing, and investment in interventions for primary and secondary prevention of SMI and associated comorbidities.

Functional cognitive disorder is an increasingly recognised subtype of functional neurological disorder for which treatment options are currently limited. We have developed a brief online group acceptance and commitment therapy (ACT)-based intervention.

To assess the feasibility of conducting a randomised controlled trial of this intervention versus treatment as usual (TAU).

The study was a parallel-group, single-blind randomised controlled trial, with participants recruited from cognitive neurology, neuropsychiatry and memory clinics in London. Participants were randomised into two groups: ACT + TAU or TAU alone. Feasibility was assessed on the basis of recruitment and retention rates, the acceptability of the intervention, and signal of efficacy on the primary outcome measure (Acceptance and Action Questionnaire II (AAQ-II)) score, although the study was not powered to demonstrate this statistically. Outcome measures were collected at baseline and at 2, 4 and 6 months post-intervention, including assessments of quality of life, memory, anxiety, depression and healthcare use.

We randomised 44 participants, with a participation rate of 51.1% (95% CI 40.8–61.5%); 36% of referred participants declined involvement, but retention was high, with 81.8% of ACT participants attending at least four sessions, and 64.3% of ACT participants reported being ‘satisfied’ or ‘very satisfied’ compared with 0% in the TAU group. Psychological flexibility as measured using the AAQ-II showed a trend towards modest improvement in the ACT group at 6 months. Other measures (quality of life, mood, memory satisfaction) also demonstrated small to modest positive trends.

It has proven feasible to conduct a randomised controlled trial of ACT versus TAU.

Meaningful medical data are crucial for response teams in the aftermath of disaster. Electronic Medical Record (EMR) systems have revolutionized healthcare by facilitating real-time data collection, storage, and analysis. These capabilities are particularly relevant for post-disaster and austere environments. fEMR, an EMR system designed for such settings, enables rapid documentation of patient information, treatments, and outcomes, ensuring critical data capture.

Data collected through fEMR can be leveraged to perform comprehensive monitoring and evaluation (M&E) of emergency medical services, assess operational needs and efficiency, and support public health syndromic surveillance.

Analyzing these data identifies patterns and trends or assesses treatment effectiveness. This insight facilitates data-driven decision-making and the optimization of medical protocols. fEMR’s real-time reports enhance situational awareness and operational coordination among response units. The aggregated data can detect trends, classify case-mix, and facilitate after-action reviews, contributing to continuous improvement in emergency preparedness and response strategies. The system also supports fulfilling reporting requirements for health agencies and funding organizations, ensuring accountability and transparency.

EMRs like fEMR are vital for emergency response teams, supporting immediate patient care and ongoing M&E of disaster response efforts. Its robust data management capabilities support evidence-based practices and strategic planning, improving the effectiveness of emergency medical services in disaster scenarios.

The effective use of fEMR in disaster response scenarios highlights its significance in enhancing operational efficiency, ensuring accountability, and improving the overall effectiveness of emergency medical services through comprehensive data management and real-time reporting.

There is a significant mortality gap between the general population and people with psychosis. Completion rates of regular physical health assessments for cardiovascular risk in this group are suboptimal. Point-of-care testing (POCT) for diabetes and hyperlipidaemia – providing an immediate result from a finger-prick – could improve these rates.

To evaluate the impact on patient–clinician encounters and on physical health check completion rates of implementing POCT for cardiovascular risk markers in early intervention in psychosis (EIP) services in South East England.

A mixed-methods, real-world evaluation study was performed, with 40 POCT machines introduced across EIP teams in all eight mental health trusts in South East England from March to May 2021. Clinician training and support was provided. Numbers of completed physical health checks, HbA1c and lipid panel blood tests completed 6 and 12 months before and 6 months after introduction of POCT were collected for individual patients. Data were compared with those from the South West region, which acted as a control. Clinician questionnaires were administered at 2 and 8 months, capturing device usability and impacts on patient interactions.

Post-POCT, South East England saw significant increases in HbA1c testing (odds ratio 2.02, 95% CI 1.17–3.49), lipid testing (odds ratio 2.38, 95% CI 1.43–3.97) and total completed health checks (odds ratio 3.61, 95% CI 1.94–7.94). These increases were not seen in the South West. Questionnaires revealed improved patient engagement, clinician empowerment and patients’ preference for POCT over traditional blood tests.

POCT is associated with improvements in the completion and quality of physical health checks, and thus could be a tool to enhance holistic care for individuals with psychosis.

To describe the real-world clinical impact of a commercially available plasma cell-free DNA metagenomic next-generation sequencing assay, the Karius test (KT).

We retrospectively evaluated the clinical impact of KT by clinical panel adjudication. Descriptive statistics were used to study associations of diagnostic indications, host characteristics, and KT-generated microbiologic patterns with the clinical impact of KT. Multivariable logistic regression modeling was used to further characterize predictors of higher positive clinical impact.

We evaluated 1000 unique clinical cases of KT from 941 patients between January 1, 2017–August 31, 2023. The cohort included adult (70%) and pediatric (30%) patients. The overall clinical impact of KT was positive in 16%, negative in 2%, and no clinical impact in 82% of the cases. Among adult patients, multivariable logistic regression modeling showed that culture-negative endocarditis (OR 2.3; 95% CI, 1.11–4.53; P .022) and concern for fastidious/zoonotic/vector-borne pathogens (OR 2.1; 95% CI, 1.11–3.76; P .019) were associated with positive clinical impact of KT. Host immunocompromised status was not reliably associated with a positive clinical impact of KT (OR 1.03; 95% CI, 0.83–1.29; P .7806). No significant predictors of KT clinical impact were found in pediatric patients. Microbiologic result pattern was also a significant predictor of impact.

Our study highlights that despite the positive clinical impact of KT in select situations, most testing results had no clinical impact. We also confirm diagnostic indications where KT may have the highest yield, thereby generating tools for diagnostic stewardship.

Accurate diagnosis of bipolar disorder (BPD) is difficult in clinical practice, with an average delay between symptom onset and diagnosis of about 7 years. A depressive episode often precedes the first manic episode, making it difficult to distinguish BPD from unipolar major depressive disorder (MDD).

We use genome-wide association analyses (GWAS) to identify differential genetic factors and to develop predictors based on polygenic risk scores (PRS) that may aid early differential diagnosis.

Based on individual genotypes from case–control cohorts of BPD and MDD shared through the Psychiatric Genomics Consortium, we compile case–case–control cohorts, applying a careful quality control procedure. In a resulting cohort of 51 149 individuals (15 532 BPD patients, 12 920 MDD patients and 22 697 controls), we perform a variety of GWAS and PRS analyses.

Although our GWAS is not well powered to identify genome-wide significant loci, we find significant chip heritability and demonstrate the ability of the resulting PRS to distinguish BPD from MDD, including BPD cases with depressive onset (BPD-D). We replicate our PRS findings in an independent Danish cohort (iPSYCH 2015, N = 25 966). We observe strong genetic correlation between our case–case GWAS and that of case–control BPD.

We find that MDD and BPD, including BPD-D are genetically distinct. Our findings support that controls, MDD and BPD patients primarily lie on a continuum of genetic risk. Future studies with larger and richer samples will likely yield a better understanding of these findings and enable the development of better genetic predictors distinguishing BPD and, importantly, BPD-D from MDD.

The calcitonin gene-related peptide monoclonal antibodies (CGRP MABs) erenumab, fremanezumab, and galcanezumab are reimbursed in Ireland under the High Tech Arrangement, subject to a managed access protocol (MAP), for the prophylaxis of chronic migraine in adults in whom three or more prophylactic treatments have failed. This study provides an overview of submitted reimbursement applications and the utilization of CGRP MABs.

The MAP for CGRP MABs was introduced on 1 September 2021 and is operated by the Health Service Executive (HSE) Medicines Management Programme. Individual patient reimbursement applications for CGRP MABs submitted through an online reimbursement application system between 1 September 2021 and 30 April 2023 were reviewed. Utilization data from 1 September 2021 to 30 April 2023 were extracted from the HSE Primary Care Reimbursement Service national pharmacy reimbursement claims database for the High Tech Arrangement. Analysis was performed using SAS® 9.4 software.

A total of 1,517 reimbursement applications were submitted in the study period. Reimbursement was approved for 96.1 percent (n=1,458) of the applications. A total of 1,399 individual patients (mean age 45 years) were dispensed a CGRP MAB under the High Tech Arrangement between September 2021 and April 2023, the majority of whom were women (n=1,141). Almost 90 percent of patients were considered treatment adherent. In April 2023, the market share of the individual CGRP MABs on the High Tech Arrangement was 56 percent (n=599) for fremanezumab, 38.3 percent (n=409) for erenumab, and 5.7 percent (n=61) for galcanezumab.

MAPs are part of the health technology management approach to drug reimbursement in the Irish healthcare setting, ensuring that reimbursement is in line with approved subgroups of the licensed indication. Used in conjunction with health technology assessment, MAPs enable access to high-cost drug treatments for patients with the greatest unmet need, while providing budgetary oversight and certainty for the payer.

Increasingly in Ireland, there are specific criteria attached to reimbursement approval for new medicines. Health technology assessment (HTA) identifies where uncertainty is greatest in relation to clinical and cost-effectiveness evidence and budget impact estimates; our health technology management (HTM) approach uses these outputs from HTA to design protocols to manage these uncertainties in the post-reimbursement phase.

A bespoke managed access protocol (MAP) is developed for each medicine reimbursed under this approach, informed by uncertainties highlighted in the HTA, directions from the decision-maker, and relevant particulars arising from commercial negotiations. Individual patient reimbursement applications are submitted via an online application system linked directly to the national pharmacy claims system. Pharmacists review the applications and approve reimbursement support where the patient meets the reimbursement criteria. The process is adaptive, allowing expansion of the criteria to include previously excluded patient cohorts, and the addition of new indications. It can also work across differing reimbursement arrangements (hospital/primary care).

The MAP for liraglutide for weight management confines reimbursement to patients with a body mass index greater than or equal to 35 kg/m², prediabetes, and high risk for cardiovascular disease. Phase I reimbursement support lasts for six months; patients not attaining greater than or equal to five percent weight loss are deemed non-responders as per the HTA, and reimbursement support is discontinued. The MAP for dupilumab confined reimbursement support to adults with refractory moderate-to-severe atopic dermatitis, where cost-effectiveness was plausible in the HTA. The MAP for calcitonin-gene-related-peptides monoclonal antibodies confines reimbursement support to patients with chronic migraine, refractory to at least three prophylactic treatments, where cost-effectiveness was plausible in the HTA.

Across these MAPs, over 3,000 patients accessed novel treatments for chronic illnesses in September 2023. HTM provides an effective mechanism to facilitate access to high-cost medicines for targeted patient groups, while providing increased oversight and budgetary certainty. Key to acceptance is utilization of HTA outputs to implement evidence-based HTM measures targeting specific uncertainties as highlighted in the HTA report.