Depression is a common mental health disorder that often starts during adolescence, with potentially important future consequences including ‘Not in Education, Employment or Training’ (NEET) status.

We took a structured life course modeling approach to examine how depressive symptoms during adolescence might be associated with later NEET status, using a high-quality longitudinal data resource. We considered four plausible life course models: (1) an early adolescent sensitive period model where depressive symptoms in early adolescence are more associated with later NEET status relative to exposure at other stages; (2) a mid adolescent sensitive period model where depressive symptoms during the transition from compulsory education to adult life might be more deleterious regarding NEET status; (3) a late adolescent sensitive period model, meaning that depressive symptoms around the time when most adults have completed their education and started their careers are the most strongly associated with NEET status; and (4) an accumulation of risk model which highlights the importance of chronicity of symptoms.

Our analysis sample included participants with full information on NEET status (N = 3951), and the results supported the accumulation of risk model, showing that the odds of NEET increase by 1.015 (95% CI 1.012–1.019) for an increase of 1 unit in depression at any age between 11 and 24 years.

Given the adverse implications of NEET status, our results emphasize the importance of supporting mental health during adolescence and early adulthood, as well as considering specific needs of young people with re-occurring depressed mood.

The aim of this study was to identify and prioritize strategies for strengthening public health system resilience for pandemics, disasters, and other emergencies using a scorecard approach.

The United Nations Public Health System Resilience Scorecard (Scorecard) was applied across 5 workshops in Slovenia, Turkey, and the United States of America. The workshops focused on participants reviewing and discussing 23 questions/indicators. A Likert type scale was used for scoring with zero being the lowest and 5 the highest. The workshop scores were analyzed and discussed by participants to prioritize areas of need and develop resilience strategies. Data from all workshops were aggregated, analyzed, and interpreted to develop priorities representative of participating locations.

Eight themes emerged representing the need for better integration of public health and disaster management systems. These include: assessing community disease burden; embedding long-term recovery groups in emergency systems; exploring mental health care needs; examining ecosystem risks; evaluating reserve funds; identifying what crisis communication strategies worked well; providing non-medical services; and reviewing resilience of existing facilities, alternate care sites, and institutions.

The Scorecard is an effective tool for establishing baseline resilience and prioritizing actions. The strategies identified reflect areas in most need for investment to improve public health system resilience.

To evaluate the potential superiority of donanemab vs. aducanumab on the percentage of participants with amyloid plaque clearance (≤24.1 Centiloids [CL]) at 6 months in patients with early symptomatic Alzheimer's disease (AD) in phase 3 TRAILBLAZER-ALZ-4 study. The amyloid cascade in AD involves the production and deposition of amyloid beta (Aβ) as an early and necessary event in the pathogenesis of AD.

Participants (n = 148) were randomized 1:1 to receive donanemab (700 mg IV Q4W [first 3 doses], then 1400 mg IV Q4W [subsequent doses]) or aducanumab (per USPI: 1 mg/kg IV Q4W [first 2 doses], 3 mg/kg IV Q4W [next 2 doses], 6 mg/kg IV Q4W [next 2 doses] and 10 mg/kg IV Q4W [subsequent doses]).

Baseline demographics and characteristics were well-balanced across treatment arms (donanemab [N = 71], aducanumab [N = 69]). Twenty-seven donanemab-treated and 28 aducanumab-treated participants defined as having intermediate tau.

Upon assessment of florbetapir F18 PET scans (6 months), 37.9% donanemab-treated vs. 1.6% aducanumab-treated participants achieved amyloid clearance (p < 0.001). In the intermediate tau subpopulation, 38.5% donanemab-treated vs. 3.8% aducanumab-treated participants achieved amyloid clearance (p = 0.008).

Percent change in brain amyloid levels were −65.2%±3.9% (baseline: 98.29 ± 27.83 CL) and −17.0%±4.0% (baseline: 102.40 ± 35.49 CL) in donanemab and aducanumab arms, respectively (p < 0.001). In the intermediate tau subpopulation, percent change in brain amyloid levels were −63.9%±7.4% (baseline: 104.97 ± 25.68 CL) and −25.4%±7.8% (baseline: 102.23 ± 28.13 CL) in donanemab and aducanumab arms, respectively (p ≤ 0.001).

62.0% of donanemab-treated and 66.7% of aducanumab-treated participants reported an adverse event (AE), there were no serious AEs due to ARIA in donanemab arm and 1.4% serious AEs (one event) due to ARIA were reported in aducanumab arm.

This study provides the first active comparator data on amyloid plaque clearance in patients with early symptomatic AD. Significantly higher number of participants reached amyloid clearance and amyloid plaque reductions with donanemab vs. aducanumab at 6 months.

Previously presented at the Clinical Trials on Alzheimer's Disease - 15th Conference, 2022.

The Virtual Interprofessional Education program is a multi-institutional consortium collaborative formed between five universities across the United States. As of January 2022, the collaborative includes over 60 universities in 30 countries. The consortium brings healthcare students together for a short-term immersive team experience that mimics the healthcare setting. The VIPE program has hosted over 5,000 students in healthcare training programs. The VIPE program expanded to a VIPE Security model to host students across multiple disciplines outside the field of healthcare to create a transdisciplinary approach to managing complex wicked problems.

Students receive asynchronous materials ahead of a synchronous virtual experience. VIPE uses the Interprofessional Education Competencies (IPEC) competencies (IPEC, 2016) and aligns with The Health Professions Accreditors Collaborative (HPAC) 2019 guidelines. VIPE uses an active teaching strategy, problem or case-based learning (PBL/CBL), which emphasizes creating an environment of psychological safety and its antecedents (Frazier et al., 2017 and Salas, 2019, Wiss, 2020). Following this model, VIPE Security explores whether the VIPE model can be tailored to work across multiple sectors to discuss management of complex wicked problems to include: climate change, disaster, cyber attacks, terrorism, pandemics, conflict, forced migration, food/water insecurity, human/narco trafficking etc. VIPE Security has hosted two events to include professionals in the health and security sectors to work through complex wicked problems to further understand their roles, ethical and responsible information sharing, and policy implications.

VIPE demonstrates statistically significant gains in knowledge towards interprofessional collaborative practice as a result of participation. VIPE Security results are currently being analyzed.

This transdisciplinary approach to IPE allows for an all-hands-on-deck approach to security, fostering early education and communication of students across multiple sectors. The VIPE Security model has future implications to be utilized within multidisciplinary organizations for practitioners, governmental agencies, and the military.

The Canadian Nosocomial Infection Surveillance Program conducted point-prevalence surveys in acute-care hospitals in 2002, 2009, and 2017 to identify trends in antimicrobial use.

Eligible inpatients were identified from a 24-hour period in February of each survey year. Patients were eligible (1) if they were admitted for ≥48 hours or (2) if they had been admitted to the hospital within a month. Chart reviews were conducted. We calculated the prevalence of antimicrobial use as follows: patients receiving ≥1 antimicrobial during survey period per number of patients surveyed × 100%.

In each survey, 28−47 hospitals participated. In 2002, 2,460 (36.5%; 95% CI, 35.3%−37.6%) of 6,747 surveyed patients received ≥1 antimicrobial. In 2009, 3,566 (40.1%, 95% CI, 39.0%−41.1%) of 8,902 patients received ≥1 antimicrobial. In 2017, 3,936 (39.6%, 95% CI, 38.7%−40.6%) of 9,929 patients received ≥1 antimicrobial. Among patients who received ≥1 antimicrobial, penicillin use increased 36.8% between 2002 and 2017, and third-generation cephalosporin use increased from 13.9% to 18.1% (P < .0001). Between 2002 and 2017, fluoroquinolone use decreased from 25.7% to 16.3% (P < .0001) and clindamycin use decreased from 25.7% to 16.3% (P < .0001) among patients who received ≥1 antimicrobial. Aminoglycoside use decreased from 8.8% to 2.4% (P < .0001) and metronidazole use decreased from 18.1% to 9.4% (P < .0001). Carbapenem use increased from 3.9% in 2002 to 6.1% in 2009 (P < .0001) and increased by 4.8% between 2009 and 2017 (P = .60).

The prevalence of antimicrobial use increased between 2002 and 2009 and then stabilized between 2009 and 2017. These data provide important information for antimicrobial stewardship programs.