Many paediatric studies report that patients must be established on aspirin therapy for a minimum of 5 days to achieve adequate response. This is not always practical especially in critical settings. Prospective identification of patients that are unresponsive to aspirin sooner could potentially prevent thrombotic events.

The aim of this study was to investigate prospectively if the first dose of aspirin is effective in decreasing platelet aggregation, and thromboxane formation and if this can be measured after 2 hours in paediatric cardiology patients. A secondary aim was to identify a cut-off for a novel marker of aspirin responsiveness the maximum amplitude with arachidonic acid, which could potentially dramatically reduce the blood volume required. Third, we aimed to prospectively identify potentially non-responsive patients by spiking a sample of their blood ex vivo with aspirin.

The majority (92.3%) of patients were responsive, when measured 2 hours post first dose of aspirin. Non-response or inadequate response (7.7%) can also be identified at 2 hours after taking the first dose of aspirin. Additionally, we have shown a novel way to reduce blood sample volume requirements by measurement of the maximum amplitude with arachidonic acid as a marker of response, particularly for monitoring.

These findings of rapid efficacy in the majority of patients offer assurance in a sound, practical way to attending clinicians, patients, and families.

The brain can be represented as a network, with nodes as brain regions and edges as region-to-region connections. Nodes with the most connections (hubs) are central to efficient brain function. Current findings on structural differences in Major Depressive Disorder (MDD) identified using network approaches remain inconsistent, potentially due to small sample sizes. It is still uncertain at what level of the connectome hierarchy differences may exist, and whether they are concentrated in hubs, disrupting fundamental brain connectivity.

We utilized two large cohorts, UK Biobank (UKB, N = 5104) and Generation Scotland (GS, N = 725), to investigate MDD case–control differences in brain network properties. Network analysis was done across four hierarchical levels: (1) global, (2) tier (nodes grouped into four tiers based on degree) and rich club (between-hub connections), (3) nodal, and (4) connection.

In UKB, reductions in network efficiency were observed in MDD cases globally (d = −0.076, pFDR = 0.033), across all tiers (d = −0.069 to −0.079, pFDR = 0.020), and in hubs (d = −0.080 to −0.113, pFDR = 0.013–0.035). No differences in rich club organization and region-to-region connections were identified. The effect sizes and direction for these associations were generally consistent in GS, albeit not significant in our lower-N replication sample.

Our results suggest that the brain's fundamental rich club structure is similar in MDD cases and controls, but subtle topological differences exist across the brain. Consistent with recent large-scale neuroimaging findings, our findings offer a connectomic perspective on a similar scale and support the idea that minimal differences exist between MDD cases and controls.

To cope with homonegativity-generated stress, gay, bisexual and other men who have sex with men (GBM) use more mental health services (MHS) compared with heterosexual men. Most previous research on MHS among GBM uses data from largely white HIV-negative samples. Using an intersectionality-based approach, we evaluated the concomitant impact of racialization and HIV stigma on MHS use among GBM, through the mediating role of perceived discrimination (PD).

We used baseline data from 2371 GBM enrolled in the Engage cohort study, collected between 2017 and 2019, in Montreal, Toronto and Vancouver, using respondent-driven sampling. The exposure was GBM groups: Group 1 (n = 1376): white HIV-negative; Group 2 (n = 327): white living with HIV; Group 3 (n = 577): racialized as non-white HIV-negative; Group 4 (n = 91): racialized as non-white living with HIV. The mediator was interpersonal PD scores measured using the Everyday Discrimination Scale (5-item version). The outcome was MHS use (yes/no) in the prior 6 months. We fit a three-way decomposition of causal mediation effects utilizing the imputation method for natural effect models. We obtained odds ratios (ORs) for pure direct effect (PDE, unmediated effect), pure indirect effect (PIE, mediated effect), mediated interaction effect (MIE, effect due to interaction between the exposure and mediator) and total effect (TE, overall effect). Analyses controlled for age, chronic mental health condition, Canadian citizenship, being cisgender and city of enrolment.

Mean PD scores were highest for racialized HIV-negative GBM (10.3, SD: 5.0) and lowest for white HIV-negative GBM (8.4, SD: 3.9). MHS use was highest in white GBM living with HIV (GBMHIV) (40.4%) and lowest in racialized HIV-negative GBM (26.9%). Compared with white HIV-negative GBM, white GBMHIV had higher TE (OR: 1.71; 95% CI: 1.27, 2.29) and PDE (OR: 1.68; 95% CI: 1.27, 2.24), and racialized HIV-negative GBM had higher PIE (OR: 1.09; 95% CI: 1.02, 1.17). Effects for racialized GBMHIV did not significantly differ from those of white HIV-negative GBM. MIEs across all groups were comparable.

Higher MHS use was observed among white GBMHIV compared with white HIV-negative GBM. PD positively mediated MHS use only among racialized HIV-negative GBM. MHS may need to take into account the intersecting impact of homonegativity, racism and HIV stigma on the mental health of GBM.

To determine the reach, adoption, implementation and effectiveness of an intervention to increase children’s vegetable intake in long day care (LDC).

A 12-week pragmatic cluster randomised controlled trial, informed by the multiphase optimisation strategy (MOST), targeting the mealtime environment and curriculum. Children’s vegetable intake and variety was measured at follow-up using a modified Short Food Survey for early childhood education and care and analysed using a two-part mixed model for non-vegetable and vegetable consumers. Outcome measures were based on the RE-AIM framework.

Australian LDC centres.

Thirty-nine centres, 120 educators and 719 children at follow-up.

There was no difference between intervention and waitlist control groups in the likelihood of consuming any vegetables when compared with non-vegetable consumers for intake (OR = 0·70, (95 % CI 0·34–1·43), P = 0·32) or variety (OR = 0·73 (95 % CI 0·40–1·32), P = 0·29). Among vegetable consumers (n 652), there was no difference between groups in vegetable variety (exp(b): 1·07 (95 % CI:0·88–1·32, P = 0·49) or vegetable intake (exp(b): 1·06 (95 % CI: 0·78, 1·43)), P = 0·71) with an average of 1·51 (95 % CI 1·20–1·82) and 1·40 (95 % CI 1·08–1·72) serves of vegetables per day in the intervention and control group, respectively. Intervention educators reported higher skills for promoting vegetables at mealtimes, and knowledge and skills for teaching the curriculum, than control (all P < 0·001). Intervention fidelity was moderate (n 16/20 and n 15/16 centres used the Mealtime environment and Curriculum, respectively) with good acceptability among educators. The intervention reached 307/8556 centres nationally and was adopted by 22 % eligible centres.

The pragmatic self-delivered online intervention positively impacted educator’s knowledge and skills and was considered acceptable and feasible. Intervention adaptations, using the MOST cyclic approach, could improve intervention impact on children’ vegetable intake.

Older adults have low levels of mental health literacy relating to anxiety which may contribute to delaying or not seeking help. Lifestyle interventions, including physical activity (PA), have increasing evidence supporting their effectiveness in reducing anxiety. The COVID-19 pandemic also highlighted the potential for technology to facilitate healthcare provision. This study aimed to investigate perspectives of older adults about their understanding of anxiety, possible use of PA interventions to reduce anxiety, and whether technology could help this process.

The INDIGO trial evaluated a PA intervention for participants aged 60 years and above at risk of cognitive decline and not meeting PA guidelines. Twenty-nine of the INDIGO trial completers, including some with anxiety and/or cognitive symptoms, attended this long-term follow-up study including semi-structured qualitative interviews. Transcripts were analyzed thematically.

There was quite a diverse understanding of anxiety amongst participants. Some participants were able to describe anxiety as involving worry, uncertainty and fear, as well as relating it to physical manifestations and feeling out of control. Others had less understanding of the concept of anxiety or found it confusing. Participants generally believed that PA could potentially reduce anxiety and thought that this could occur through a “mindfulness” and/or “physiological” process. Technology use was a more controversial topic with some participants quite clearly expressing a dislike or distrust of technology or else limited access or literacy in relation to technology. Participants who were supportive of using technology described that it could help with motivation, information provision and health monitoring. Wearable activity monitors were described favorably, with online platforms and portable devices also being options.

Our results highlight the importance of increasing information and education about anxiety to older adults. This may increase awareness of anxiety and reduce delays in seeking help or not seeking help at all. Findings also emphasize the need for clinicians to support understanding of anxiety in older adults that they are seeing and provide information and education where needed. It is likely that PA interventions to reduce anxiety, with the option of a technology component with support, will be acceptable to most older adults.

To explore patterns of post-malnutrition growth (PMGr) during and after treatment for severe malnutrition and describe associations with survival and non-communicable disease (NCD) risk 7 years post-treatment.

Six indicators of PMGr were derived based on a variety of timepoints, weight, weight-for-age z-score and height-for-age z-score (HAZ). Three categorisation methods included no categorisation, quintiles and latent class analysis (LCA). Associations with mortality risk and seven NCD indicators were analysed.

Secondary data from Blantyre, Malawi between 2006 and 2014.

A cohort of 1024 children treated for severe malnutrition (weight-for-length z-score < 70 % median and/or MUAC (mid-upper arm circumference) < 110 mm and/or bilateral oedema) at ages 5–168 months.

Faster weight gain during treatment (g/d) and after treatment (g/kg/day) was associated with lower risk of death (adjusted OR 0·99, 95 % CI 0·99, 1·00; and adjusted OR 0·91, 95 % CI 0·87, 0·94, respectively). In survivors (mean age 9 years), it was associated with greater hand grip strength (0·02, 95 % CI 0·00, 0·03) and larger HAZ (6·62, 95 % CI 1·31, 11·9), both indicators of better health. However, faster weight gain was also associated with increased waist:hip ratio (0·02, 95 % CI 0·01, 0·03), an indicator of later-life NCD risk. The clearest patterns of association were seen when defining PMGr based on weight gain in g/d during treatment and using the LCA method to describe growth patterns. Weight deficit at admission was a major confounder.

A complex pattern of benefits and risks is associated with faster PMGr. Both initial weight deficit and rate of weight gain have important implications for future health.

Dropout from psychotherapy for borderline personality disorder (BPD) is a notorious problem. We investigated whether treatment, treatment format, treatment setting, substance use exclusion criteria, proportion males, mean age, country, and other variables influenced dropout.

From Pubmed, Embase, Cochrane, Psycinfo and other sources, 111 studies (159 treatment arms, N = 9100) of psychotherapy for non-forensic adult patients with BPD were included. Dropout per quarter during one year of treatment was analyzed on participant level with multilevel survival analysis, to deal with multiple predictors, nonconstant dropout chance over time, and censored data. Multiple imputation was used to estimate quarter of drop-out if unreported. Sensitivity analyses were done by excluding DBT-arms with deviating push-out rules.

Dropout was highest in the first quarter of treatment. Schema therapy had the lowest dropout overall, and mentalization-based treatment in the first two quarters. Community treatment by experts had the highest dropout. Moreover, individual therapy had lowest dropout, group therapy highest, with combined formats in-between. Other variables such as age or substance-use exclusion criteria were not associated with dropout.

The findings do not support claims that all treatments are equal, and indicate that efforts to reduce dropout should focus on early stages of treatment and on group treatment.