To examine if the current taught undergraduate psychiatry syllabus at an Irish University relates to what doctors in psychiatry consider to be clinically relevant and important.

Doctors of different clinical grades were invited to rate their views on 216 items on a 10-point Likert scale ranging from ‘0 = not relevant’ to ‘10 = very relevant’. Participants were invited to comment on topics that should be excluded or included in a new syllabus. Thematic analysis was conducted on this free-text to identify particular themes.

The doctors surveyed rated that knowledge of diagnostic criteria was important for medical students. This knowledge attained high scores across all disorders with particularly high scores for a number of disorders including major depressive disorder (mean = 9.64 (SD = 0.86)), schizophrenia (mean = 9.55 (SD = 0.95)) and attention deficit hyperactivity disorder (Attention Deficit Hyperactivity Disorder (ADHD); mean = 9.26 (SD = 1.40)). Lower scores were noted for less frequently utilised management strategies (transcranial magnetic stimulation (mean = 4.97 (SD = 2.60)), an awareness of the difference in criteria for use disorder and dependence from psychoactive substances (mean = 5.56 (SD = 2.26)), and some theories pertaining to psychotherapy (i.e. Freud’s drive theory (mean = 4.59 (SD = 2.42)).

This study highlights the importance of an undergraduate programme that is broad based, practical and relevant to student’s future medical practice. An emphasis on diagnosis and management of major psychiatry disorders, and knowledge of the interface between mental health services, other medical specialities and support services was also deemed important.

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 association between cannabis and psychosis is established, but the role of underlying genetics is unclear. We used data from the EU-GEI case-control study and UK Biobank to examine the independent and combined effect of heavy cannabis use and schizophrenia polygenic risk score (PRS) on risk for psychosis.

Genome-wide association study summary statistics from the Psychiatric Genomics Consortium and the Genomic Psychiatry Cohort were used to calculate schizophrenia and cannabis use disorder (CUD) PRS for 1098 participants from the EU-GEI study and 143600 from the UK Biobank. Both datasets had information on cannabis use.

In both samples, schizophrenia PRS and cannabis use independently increased risk of psychosis. Schizophrenia PRS was not associated with patterns of cannabis use in the EU-GEI cases or controls or UK Biobank cases. It was associated with lifetime and daily cannabis use among UK Biobank participants without psychosis, but the effect was substantially reduced when CUD PRS was included in the model. In the EU-GEI sample, regular users of high-potency cannabis had the highest odds of being a case independently of schizophrenia PRS (OR daily use high-potency cannabis adjusted for PRS = 5.09, 95% CI 3.08–8.43, p = 3.21 × 10−10). We found no evidence of interaction between schizophrenia PRS and patterns of cannabis use.

Regular use of high-potency cannabis remains a strong predictor of psychotic disorder independently of schizophrenia PRS, which does not seem to be associated with heavy cannabis use. These are important findings at a time of increasing use and potency of cannabis worldwide.

Diagnostic criteria for major depressive disorder allow for heterogeneous symptom profiles but genetic analysis of major depressive symptoms has the potential to identify clinical and etiological subtypes. There are several challenges to integrating symptom data from genetically informative cohorts, such as sample size differences between clinical and community cohorts and various patterns of missing data.

We conducted genome-wide association studies of major depressive symptoms in three cohorts that were enriched for participants with a diagnosis of depression (Psychiatric Genomics Consortium, Australian Genetics of Depression Study, Generation Scotland) and three community cohorts who were not recruited on the basis of diagnosis (Avon Longitudinal Study of Parents and Children, Estonian Biobank, and UK Biobank). We fit a series of confirmatory factor models with factors that accounted for how symptom data was sampled and then compared alternative models with different symptom factors.

The best fitting model had a distinct factor for Appetite/Weight symptoms and an additional measurement factor that accounted for the skip-structure in community cohorts (use of Depression and Anhedonia as gating symptoms).

The results show the importance of assessing the directionality of symptoms (such as hypersomnia versus insomnia) and of accounting for study and measurement design when meta-analyzing genetic association data.

To evaluate the comparative epidemiology of hospital-onset bloodstream infection (HOBSI) and central line-associated bloodstream infection (CLABSI)

Retrospective observational study of HOBSI and CLABSI across a three-hospital healthcare system from 01/01/2017 to 12/31/2021

HOBSIs were identified as any non-commensal positive blood culture event on or after hospital day 3. CLABSIs were identified based on National Healthcare Safety Network (NHSN) criteria. We performed a time-series analysis to assess comparative temporal trends among HOBSI and CLABSI incidence. Using univariable and multivariable regression analyses, we compared demographics, risk factors, and outcomes between non-CLABSI HOBSI and CLABSI, as HOBSI and CLABSI are not exclusive entities.

HOBSI incidence increased over the study period (IRR 1.006 HOBSI/1,000 patient days; 95% CI 1.001–1.012; P = .03), while no change in CLABSI incidence was observed (IRR .997 CLABSIs/1,000 central line days, 95% CI .992–1.002, P = .22). Differing demographic, microbiologic, and risk factor profiles were observed between CLABSIs and non-CLABSI HOBSIs. Multivariable analysis found lower odds of mortality among patients with CLABSIs when adjusted for covariates that approximate severity of illness (OR .27; 95% CI .11–.64; P < .01).

HOBSI incidence increased over the study period without a concurrent increase in CLABSI in our study population. Furthermore, risk factor and outcome profiles varied between CLABSI and non-CLABSI HOBSI, which suggest that these metrics differ in important ways worth considering if HOBSI is adopted as a quality metric.

To evaluate the economic costs of reducing the University of Virginia Hospital’s present “3-negative” policy, which continues methicillin-resistant Staphylococcus aureus (MRSA) contact precautions until patients receive 3 consecutive negative test results, to either 2 or 1 negative.

Cost-effective analysis.

The University of Virginia Hospital.

The study included data from 41,216 patients from 2015 to 2019.

We developed a model for MRSA transmission in the University of Virginia Hospital, accounting for both environmental contamination and interactions between patients and providers, which were derived from electronic health record (EHR) data. The model was fit to MRSA incidence over the study period under the current 3-negative clearance policy. A counterfactual simulation was used to estimate outcomes and costs for 2- and 1-negative policies compared with the current 3-negative policy.

Our findings suggest that 2-negative and 1-negative policies would have led to 6 (95% CI, −30 to 44; P < .001) and 17 (95% CI, −23 to 59; −10.1% to 25.8%; P < .001) more MRSA cases, respectively, at the hospital over the study period. Overall, the 1-negative policy has statistically significantly lower costs ($628,452; 95% CI, $513,592–$752,148) annually (P < .001) in US dollars, inflation-adjusted for 2023) than the 2-negative policy ($687,946; 95% CI, $562,522–$812,662) and 3-negative ($702,823; 95% CI, $577,277–$846,605).

A single negative MRSA nares PCR test may provide sufficient evidence to discontinue MRSA contact precautions, and it may be the most cost-effective option.

Executive functions (EFs) are considered to be both unitary and diverse functions with common conceptualizations consisting of inhibitory control, working memory, and cognitive flexibility. Current research indicates that these abilities develop along different timelines and that working memory and inhibitory control may be foundational for cognitive flexibility, or the ability to shift attention between tasks or operations. Very few interventions target cognitive flexibility despite its importance for academic or occupational tasks, social skills, problem-solving, and goal-directed behavior in general, and the ability is commonly impaired in individuals with neurodevelopmental disorders (NDDs) such as autism spectrum disorder, attention deficit hyperactivity disorder, and learning disorders. The current study investigated a tablet-based cognitive flexibility intervention, Dino Island (DI), that combines a game-based, process-specific intervention with compensatory metacognitive strategies as delivered by classroom aides within a school setting.

20 children between ages 6-12 years (x̄ = 10.83 years) with NDDs and identified executive function deficits and their assigned classroom aides (i.e., “interventionists”) were randomly assigned to either DI or an educational game control condition. Interventionists completed a 2-4 hour online training course and a brief, remote Q&A session with the research team, which provided key information for delivering the intervention such as game-play and metacognitive/behavioral strategy instruction. Fidelity checks were conducted weekly. Interventionists were instructed to deliver 14-16 hours of intervention during the school day over 6-8 weeks, divided into 3-4 weekly sessions of 30-60 minutes each. Baseline and post-intervention assessments consisted of cognitive measures of cognitive flexibility (Minnesota Executive Function Scale), working memory (Weschler Intelligence Scales for Children, 4th Edn. Integrated Spatial Span) and parent-completed EF rating scales (Behavior Rating Inventory of Executive Function).

Samples sizes were smaller than expected due to COVID-19 related disruptions within schools, so nonparametric analyses were conducted to explore trends in the data. Results of the Mann-Whitney U test indicated that participants within the DI condition made greater gains in cognitive flexibility with a trend towards significance (p = 0.115. After dummy coding for positive change, results also indicated that gains in spatial working memory differed by condition (p = 0.127). Similarly, gains in task monitoring trended towards significant difference by condition.

DI, a novel EF intervention, may be beneficial to cognitive flexibility, working memory, and monitoring skills within youth with EF deficits. Though there were many absences and upheavals within the participating schools related to COVID-19, it is promising to see differences in outcomes with such a small sample. This poster will expand upon the current results as well as future directions for the DI intervention.

The Latinx population is rapidly aging and growing in the US and is at increased risk for stroke and dementia. We examined whether bilingualism confers cognitive resilience following stroke in a community-based sample of Mexican American (MA) older adults.

Participants included predominantly urban, non-immigrant MAs aged 65+ from the Brain Attack Surveillance in Corpus Christi- Cognitive study. Participants were recruited using a two-stage area probability sample with door-to-door recruitment until the onset of the COVID-19 pandemic; sampling and recruitment were then completed via telephone. Cognition was assessed with the Montreal Cognitive Assessment (MoCA; 30-item in-person, 22-item via telephone) in English or Spanish. Bilingualism was assessed via a questionnaire and degree of bilingualism was calculated (range 0%-100% bilingual). Stroke history was collected via self-report. We harmonized the 22-item to the 30-item MoCA using published equipercentile equating. We conducted a series of regressions with the harmonized MoCA score as the dependent variable, stroke history and degree of bilingualism as independent variables, and age, sex/gender, education, assessment language, assessment mode (in-person vs. phone), and self-reported vascular risk factors (hypertension, diabetes, heart disease) as covariates. We included a stroke history by bilingualism interaction to examine whether bilingualism modifies the association between stroke history and MoCA performance.

Participants included 841 MA older adults (59% women; age M(SE) = 73.5(0.2); 44% less than high school education). Most (77%) of the sample completed the MoCA in English. 93 of 841 participants reported a history of stroke. In an unadjusted model, degree of bilingualism (b = 3.41, p < .0001) and stroke history (b = -1.98, p = .003) were associated with MoCA performance. In a fully adjusted model, stroke history (b = -1.79, p = .0007) but not bilingualism (b = 0.78, p = .21) was associated with MoCA performance. When an interaction term was added to the fully adjusted model, the interaction between stroke history and bilingualism was not significant (b= -0.47, p = .78).

Degree of bilingualism does not modify the association between stroke history and MoCA performance in Mexican American older adults. These results should be replicated in samples of validated strokes, more comprehensive bilingualism and cognitive assessments, and in other bilingual populations.