Medical and surgical advancements have enabled a 95% survival rate for children with CHD. However, these survivors are disproportionately affected by neurodevelopmental disabilities. In particular, they have behavioural problems in toddlerhood. Because there is a known relationship between behavioural problems and early language delay, we hypothesise that children with critical CHD have early detectable language deficits. To test our hypothesis, we performed a retrospective study on a cohort of children with critical CHD to visualise their early language developmental trajectories.

We identified a cohort of 27 children with two diagnoses: single ventricle physiology (19) and transposition of the great arteries (8). As part of their routine clinical care, all of these children had serial developmental evaluations with the language subsection of the Capute Scales. We visualised their developmental language trajectories as a function of chronologic age, and we used a univariate linear regression model to calculate diagnosis-specific expected developmental age equivalents.

In each group, language development is age-appropriate in infancy. Deviation from age-appropriate development is apparent by 18 months. This results in borderline-mild language delay by 30 months.

Using the Capute Scales, our team quantified early language development in infants and toddlers with critical CHD. Our identification of deceleration in skill acquisition reinforces the call for ongoing neurodevelopmental surveillance in these children. Understanding early language development will help clinicians provide informed anticipatory guidance to families of children with critical CHD.

Children with single ventricle physiology and transposition of the great arteries have measurable early language delays.

To evaluate the motor proficiency, identify risk factors for abnormal motor scores, and examine the relationship between motor proficiency and health-related quality of life in school-aged patients with CHD.

Patients ≥ 4 years old referred to the cardiac neurodevelopmental program between June 2017 and April 2020 were included. Motor skills were evaluated by therapist-administered Bruininks-Oseretsky Test of Motor Proficiency Second-Edition Short Form and parent-reported Adaptive Behavior Assessment System and Patient-Reported Outcomes Measurement Inventory System Physical Functioning questionnaires. Neuropsychological status and health-related quality of life were assessed using a battery of validated questionnaires. Demographic, clinical, and educational variables were collected from electronic medical records. General linear modelling was used for multivariable analysis.

The median motor proficiency score was the 10th percentile, and the cohort (n = 272; mean age: 9.1 years) scored well below normative values on all administered neuropsychological questionnaires. In the final multivariable model, worse motor proficiency score was associated with family income, presence of a genetic syndrome, developmental delay recognised in infancy, abnormal neuroimaging, history of heart transplant, and executive dysfunction, and presence of an individualised education plan (p < 0.03 for all predictors). Worse motor proficiency correlated with reduced health-related quality of life. Parent-reported adaptive behaviour (p < 0.001) and physical functioning (p < 0.001) had a strong association with motor proficiency scores.

This study highlights the need for continued motor screening for school-aged patients with CHD. Clinical factors, neuropsychological screening results, and health-related quality of life were associated with worse motor proficiency.

Cancer health research relies on large-scale cohorts to derive generalizable results for different populations. While traditional epidemiological cohorts often use costly random sampling or self-motivated, preselected groups, a shift toward health system-based cohorts has emerged. However, such cohorts depend on participants remaining within a single system. Recent consumer engagement models using smartphone-based communication, driving projects, and social media have begun to upend these paradigms.

We initiated the Healthy Oregon Project (HOP) to support basic and clinical cancer research. HOP study employs a novel, cost-effective remote recruitment approach to effectively establish a large-scale cohort for population-based studies. The recruitment leverages the unique email account, the HOP website, and social media platforms to direct smartphone users to the study app, which facilitates saliva sample collection and survey administration. Monthly newsletters further facilitate engagement and outreach to broader communities.

By the end of 2022, the HOP has enrolled approximately 35,000 participants aged 18–100 years (median = 44.2 years), comprising more than 1% of the Oregon adult population. Among those who have app access, ∼87% provided consent to genetic screening. The HOP monthly email newsletters have an average open rate of 38%. Efforts continue to be made to improve survey response rates.

This study underscores the efficacy of remote recruitment approaches in establishing large-scale cohorts for population-based cancer studies. The implementation of the study facilitates the collection of extensive survey and biological data into a repository that can be broadly shared and supports collaborative clinical and translational research.

Non-clinical aspects of life, such as social, environmental, behavioral, psychological, and economic factors, what we call the sociome, play significant roles in shaping patient health and health outcomes. This paper introduces the Sociome Data Commons (SDC), a new research platform that enables large-scale data analysis for investigating such factors.

This platform focuses on “hyper-local” data, i.e., at the neighborhood or point level, a geospatial scale of data not adequately considered in existing tools and projects. We enumerate key insights gained regarding data quality standards, data governance, and organizational structure for long-term project sustainability. A pilot use case investigating sociome factors associated with asthma exacerbations in children residing on the South Side of Chicago used machine learning and six SDC datasets.

The pilot use case reveals one dominant spatial cluster for asthma exacerbations and important roles of housing conditions and cost, proximity to Superfund pollution sites, urban flooding, violent crime, lack of insurance, and a poverty index.

The SDC has been purposefully designed to support and encourage extension of the platform into new data sets as well as the continued development, refinement, and adoption of standards for dataset quality, dataset inclusion, metadata annotation, and data access/governance. The asthma pilot has served as the first driver use case and demonstrates promise for future investigation into the sociome and clinical outcomes. Additional projects will be selected, in part for their ability to exercise and grow the capacity of the SDC to meet its ambitious goals.

Most clinical microbiology laboratories have replaced toxin immunoassay (EIA) alone with multistep testing (MST) protocols or nucleic acid amplification testing (NAAT) alone for the detection of C. difficile.

Study the effect of changing testing strategies on C. difficile detection and strain diversity.

Retrospective study.

A Veterans’ Affairs hospital.

Initially, toxin EIA testing was replaced by an MST approach utilizing a glutamate dehydrogenase (GDH) and toxin EIA followed by tcdB NAAT for discordant results. After 18 months, MST was replaced by a NAAT-only strategy. Available patient stool specimens were cultured for C. difficile. Restriction endonuclease analysis (REA) strain typing and quantitative in vitro toxin testing were performed on recovered isolates.

Before MST (toxin EIA), 79 of 708 specimens (11%) were positive, and after MST (MST-A), 121 of 517 specimens (23%) were positive (P < .0001). Prior to NAAT-only testing (MST-B), 80 of the 490 specimens (16%) were positive by MST, and after NAAT-only testing was implemented, 67 of the 368 specimens (18%) were positive (P = nonsignificant). After replacing toxin EIA testing, REA strain group diversity increased (8, 13, 13, and 10 REA groups in the toxin EIA, MST-A, MST-B, and NAAT-only periods, respectively) and in vitro toxin concentration decreased. The average log10 toxin concentration of the isolates were 2.08, 1.88, 1.20 and 1.55 ng/mL for the same periods, respectively.

MST and NAAT had similar detection rates for C. difficile. Compared to toxin testing alone, they detected increased diversity of C. difficile strains, many of which were low toxin producing.

The growing prevalence of non-communicable diseases, combined with greater recognition of the effectiveness of lipid lowering agents (LLAs), has fuelled their increasing use in recent years. Similarly, increasing recognition of mental health and, arguably, societal expectations and pressures, has driven appreciable growth in antidepressant prescribing in recent years. Concurrent with this, growing resource pressures enhanced by the continual launch of new premium priced medicines necessitates reforms and initiatives within finite budgets. Scotland has introduced multiple measures in recent years to improve both the quality and efficiency of prescribing. There is a need to document these initiatives and outcomes to provide future direction.

Assessment of the utilization (items dispensed) and expenditure of key LLAs (mainly statins) and SSRIs between 2001 and 2017 in Scotland alongside initiatives.

Multiple interventions have increased international non-proprietary name (INN) prescribing (99% for statins and up to 99.9% for SSRIs). They have also increased preferential prescribing of generic versus patented statins with low costs for generics, reduced inappropriate prescribing of ezetimibe due to effectiveness concerns, and increased the prescribing of higher dose statins (71% in 2015). These measures have resulted in a 50% reduction in LLA expenditure between 2001 and 2015 despite a 412% increase in utilization. Initiatives to reduce the prescribing of escitalopram as lack of evidence demonstrating cost-benefits over generic citalopram, along with high INN prescribing, achieved a 73.7% reduction in SSRI expenditure between 2001 and 2017 despite a 2.34-fold increase in utilisation. Concerns with paroxetine, and more recently citalopram and escitalopram following safety warnings, resulted in a considerable reduction in their use alongside a significant increase in sertraline.

Generic availability coupled with multiple measures has resulted in appreciable shifts in statin and SSRI prescribing behavior and reduced ezetimibe prescribing, resulting in improvements in both the quality and efficiency of prescribing to provide future direction.

To examine the relationship between protein intake and the risk of incident premenstrual syndrome (PMS).

Nested case–control study. FFQ were completed every 4 years during follow-up. Our main analysis assessed protein intake 2–4 years before PMS diagnosis (for cases) or reference year (for controls). Baseline (1991) protein intake was also assessed.

Nurses’ Health Study II (NHS2), a large prospective cohort study of registered female nurses in the USA.

Participants were premenopausal women between the ages of 27 and 44 years (mean: 34 years), without diagnosis of PMS at baseline, without a history of cancer, endometriosis, infertility, irregular menstrual cycles or hysterectomy. Incident cases of PMS (n 1234) were identified by self-reported diagnosis during 14 years of follow-up and validated by questionnaire. Controls (n 2426) were women who did not report a diagnosis of PMS during follow-up and confirmed experiencing minimal premenstrual symptoms.

In logistic regression models adjusting for smoking, BMI, B-vitamins and other factors, total protein intake was not associated with PMS development. For example, the OR for women with the highest intake of total protein 2–4 years before their reference year (median: 103·6 g/d) v. those with the lowest (median: 66·6 g/d) was 0·94 (95 % CI 0·70, 1·27). Additionally, intakes of specific protein sources and amino acids were not associated with PMS. Furthermore, results substituting carbohydrates and fats for protein were also null.

Overall, protein consumption was not associated with risk of developing PMS.