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.

Older adults with treatment-resistant depression (TRD) benefit more from treatment augmentation than switching. It is useful to identify moderators that influence these treatment strategies for personalised medicine.

Our objective was to test whether age, executive dysfunction, comorbid medical burden, comorbid anxiety or the number of previous adequate antidepressant trials could moderate the superiority of augmentation over switching. A significant moderator would influence the differential effect of augmentation versus switching on treatment outcomes.

We performed a preplanned moderation analysis of data from the Optimizing Outcomes of Treatment-Resistant Depression in Older Adults (OPTIMUM) randomised controlled trial (N = 742). Participants were 60 years old or older with TRD. Participants were either (a) randomised to antidepressant augmentation with aripiprazole (2.5–15 mg), bupropion (150–450 mg) or lithium (target serum drug level 0.6 mmol/L) or (b) switched to bupropion (150–450 mg) or nortriptyline (target serum drug level 80–120 ng/mL). Treatment duration was 10 weeks. The two main outcomes of this analysis were (a) symptom improvement, defined as change in Montgomery–Asberg Depression Rating Scale (MADRS) scores from baseline to week 10 and (b) remission, defined as MADRS score of 10 or less at week 10.

Of the 742 participants, 480 were randomised to augmentation and 262 to switching. The number of adequate previous antidepressant trials was a significant moderator of depression symptom improvement (b = −1.6, t = −2.1, P = 0.033, 95% CI [−3.0, −0.1], where b is the coefficient of the relationship (i.e. effect size), and t is the t-statistic for that coefficient associated with the P-value). The effect was similar across all augmentation strategies. No other putative moderators were significant.

Augmenting was superior to switching antidepressants only in older patients with fewer than three previous antidepressant trials. This suggests that other intervention strategies should be considered following three or more trials.

It remains unclear which individuals with subthreshold depression benefit most from psychological intervention, and what long-term effects this has on symptom deterioration, response and remission.

To synthesise psychological intervention benefits in adults with subthreshold depression up to 2 years, and explore participant-level effect-modifiers.

Randomised trials comparing psychological intervention with inactive control were identified via systematic search. Authors were contacted to obtain individual participant data (IPD), analysed using Bayesian one-stage meta-analysis. Treatment–covariate interactions were added to examine moderators. Hierarchical-additive models were used to explore treatment benefits conditional on baseline Patient Health Questionnaire 9 (PHQ-9) values.

IPD of 10 671 individuals (50 studies) could be included. We found significant effects on depressive symptom severity up to 12 months (standardised mean-difference [s.m.d.] = −0.48 to −0.27). Effects could not be ascertained up to 24 months (s.m.d. = −0.18). Similar findings emerged for 50% symptom reduction (relative risk = 1.27–2.79), reliable improvement (relative risk = 1.38–3.17), deterioration (relative risk = 0.67–0.54) and close-to-symptom-free status (relative risk = 1.41–2.80). Among participant-level moderators, only initial depression and anxiety severity were highly credible (P > 0.99). Predicted treatment benefits decreased with lower symptom severity but remained minimally important even for very mild symptoms (s.m.d. = −0.33 for PHQ-9 = 5).

Psychological intervention reduces the symptom burden in individuals with subthreshold depression up to 1 year, and protects against symptom deterioration. Benefits up to 2 years are less certain. We find strong support for intervention in subthreshold depression, particularly with PHQ-9 scores ≥ 10. For very mild symptoms, scalable treatments could be an attractive option.

Dog-assisted interventions (DAIs) to improve health-related outcomes for people with mental health or neurodevelopmental conditions are becoming increasingly popular. However, DAIs are not based on robust scientific evidence.

To determine the effectiveness of DAIs for children and adults with mental health or neurodevelopmental conditions, assess how well randomised controlled trials (RCTs) are reported, and examine the use of terminology to classify DAIs.

A systematic search was conducted in Embase, PsycINFO, PubMed, CINAHL, Web of Science and the Cochrane Library. RCTs were grouped by commonly reported outcomes and described narratively with forest plots reporting standardised mean differences and 95% confidence intervals without a pooled estimate. The quality of reporting of RCTs and DAIs was evaluated by assessing adherence to CONSORT and the Template for Intervention Description and Replication (TIDieR) guidelines. Suitability of use of terminology was assessed by mapping terms to the intervention content described.

Thirty-three papers were included, reporting 29 RCTs (with five assessed as overall high quality); a positive impact of DAIs was found by 57% (8/14) for social skills and/or behaviour, 50% (5/10) for symptom frequency and/or severity, 43% (6/14) for depression and 33% (2/6) for agitation. The mean proportion of adherence to the CONSORT statement was 48.6%. The TIDieR checklist also indicated considerable variability in intervention reporting. Most DAIs were assessed as having clear alignment for terminology, but improvement in reporting information is still required.

DAIs may show promise for improving mental health and behavioural outcomes for those with mental health or neurodevelopmental conditions, particularly for conditions requiring social skill support. However, the quality of reporting requires improvement.

A substantial subset of patients with major depressive disorder (MDD) experience treatment-resistant depression (TRD), typically defined as failure to respond to at least two sequential antidepressant trials at adequate dose and length.

To examine clinical and service-level associations of TRD, and the experiences of people with TRD and clinicians involved in their care within a large, diverse National Health Service trust in the UK.

This mixed-methods study integrated quantitative analysis of electronic health records with thematic analysis of semi-structured interviews. Chi-squared tests and one-way analysis of variance were used to assess associations between lines of antidepressant treatments and sociodemographic and clinical variables, and binary logistic regression was used to identify associations of TRD status.

Nearly half (48%) of MDD patients met TRD criteria, with 36.9% having trialled ≥4 antidepressant treatments. People with TRD had higher rates of recurrent depression (odds ratio = 1.24, 95% CI: 1.05–1.45, P = 0.008), comorbid anxiety disorders (odds ratio = 1.21, 95% CI: 1.03–1.41, P = 0.019), personality disorders (odds ratio=1.35, 95% CI: 1.10–1.65, P = 0.003), self-harm (odds ratio = 1.76, 95% CI: 1.06–2.93, P = 0.029) and cardiovascular diseases (odds ratio = 1.46, 95% CI: 1.02–2.07, P = 0.0374). Greater treatment resistance was linked to increased economic inactivity and functional loss. Qualitative findings revealed severe emotional distress and frustration with existing treatments, as well as organisational and illness-related barriers to effective care.

TRD is characterised by increasing mental and physical morbidity and functional decline, with individuals experiencing barriers to effective care. Improved pathways, service structures and more effective biological and psychological interventions are needed.

This study sought to assess undergraduate students’ knowledge and attitudes surrounding perceived self-efficacy and threats in various common emergencies in communities of higher education.

Self-reported perceptions of knowledge and skills, as well as attitudes and beliefs regarding education and training, obligation to respond, safety, psychological readiness, efficacy, personal preparedness, and willingness to respond were investigated through 3 representative scenarios via a web-based survey.

Among 970 respondents, approximately 60% reported their university had adequately prepared them for various emergencies while 84% reported the university should provide such training. Respondents with high self-efficacy were significantly more likely than those with low self-efficacy to be willing to respond in whatever capacity needed across all scenarios.

There is a gap between perceived student preparedness for emergencies and training received. Students with high self-efficacy were the most likely to be willing to respond, which may be useful for future training initiatives.

Growth faltering is widespread in many low- and middle-income countries, but its effects on childhood bone mass accrual are unknown. The objective of this study was to estimate associations between length (conditional length-for-age z-scores, cLAZ) and weight (conditional weight-for-age z-scores, cWAZ) gain in three age intervals (ages 0–6, 6–12 and 12–24 months) with dual-energy X-ray absorptiometry-derived measures of bone mass (total body less head (TBLH) bone mineral content (BMC), areal bone mineral density (aBMD) and bone area) at 4 years of age.

Associations between interval-specific growth parameters (cLAZ and cWAZ) and bone outcomes were estimated using linear regression models, adjusted for maternal, child and household characteristics.

Data collection occurred in Dhaka, Bangladesh.

599 healthy children enrolled in the BONe and mUScle Health in Kids Study.

cLAZ in each age interval was positively associated with TBLH BMC, aBMD and bone area at 4 years; however, associations attenuated towards null upon adjustment for concurrent height-for-age z-scores (HAZ) at age 4 years and confounders. cWAZ from 0 to 6 and 6 to 12 months was not associated with bone mass, but every sd increase in cWAZ between 12 and 24 months was associated with greater BMC (7·6 g; 95 % CI: 3·2, 12·0) and aBMD (0·008 g/cm2; 95 % CI: 0·003, 0·014) after adjusting for concurrent WAZ, HAZ and confounders.

Associations of linear growth (birth to 2 years) with bone mass at age 4 years were explained by concurrent HAZ. Weight gain in the second year of life may increase bone mass independently of linear growth in settings where growth faltering is common.

Post-procedural antimicrobial prophylaxis is not recommended by professional guidelines but is commonly prescribed. We sought to reduce use of post-procedural antimicrobials after common endoscopic urologic procedures.

A before-after, quasi-experimental trial with a baseline (July 2020–June 2022), an implementation (July 2022), and an intervention period (August 2022–July 2023).

Three participating medical centers.

We assessed the effect of a bundled intervention on excess post-procedural antimicrobial use (ie, antimicrobial use on post-procedural day 1) after three types of endoscopic urologic procedures: ureteroscopy and transurethral resection of bladder tumor or prostate. The intervention consisted of education, local champion(s), and audit-and-feedback of data on the frequency of post-procedural antimicrobial-prescribing.

1,272 procedures were performed across all 3 sites at baseline compared to 525 during the intervention period; 644 (50.6%) patients received excess post-procedural antimicrobials during the baseline period compared to 216 (41.1%) during the intervention period. There was no change in the use of post-procedural antimicrobials at sites 1 and 2 between the baseline and intervention periods. At site 3, the odds of prescribing a post-procedural antimicrobial significantly decreased during the intervention period relative to the baseline time trend (0.09; 95% CI 0.02–0.45). There was no significant increase in post-procedural unplanned visits at any of the sites.

Implementation of a bundled intervention was associated with reduced post-procedural antimicrobial use at one of three sites, with no increase in complications. These findings demonstrate both the safety and challenge of guideline implementation for optimal perioperative antimicrobial prophylaxis.

This trial was registered on clinicaltrials.gov, NCT04196777.

The New Jersey Kids Study (NJKS) is a transdisciplinary statewide initiative to understand influences on child health, development, and disease. We conducted a mixed-methods study of project planning teams to investigate team effectiveness and relationships between team dynamics and quality of deliverables.

Ten theme-based working groups (WGs) (e.g., Neurodevelopment, Nutrition) informed protocol development and submitted final reports. WG members (n = 79, 75%) completed questionnaires including de-identified demographic and professional information and a modified TeamSTEPPS Team Assessment Questionnaire (TAQ). Reviewers independently evaluated final reports using a standardized tool. We analyzed questionnaire results and final report assessments using linear regression and performed constant comparative qualitative analysis to identify central themes.

WG-level factors associated with greater team effectiveness included proportion of full professors (β = 31.24, 95% CI 27.65–34.82), team size (β = 0.81, 95% CI 0.70–0.92), and percent dedicated research effort (β = 0.11, 95% CI 0.09–0.13); age distribution (β = −2.67, 95% CI –3.00 to –2.38) and diversity of school affiliations (β = –33.32, 95% CI –36.84 to –29.80) were inversely associated with team effectiveness. No factors were associated with final report assessments. Perceptions of overall initiative leadership were associated with expressed enthusiasm for future NJKS participation. Qualitative analyses of final reports yielded four themes related to team science practices: organization and process, collaboration, task delegation, and decision-making patterns.

We identified several correlates of team effectiveness in a team science initiative's early planning phase. Extra effort may be needed to bridge differences in team members' backgrounds to enhance the effectiveness of diverse teams. This work also highlights leadership as an important component in future investigator engagement.