In response to the COVID-19 pandemic, we rapidly implemented a plasma coordination center, within two months, to support transfusion for two outpatient randomized controlled trials. The center design was based on an investigational drug services model and a Food and Drug Administration-compliant database to manage blood product inventory and trial safety.

A core investigational team adapted a cloud-based platform to randomize patient assignments and track inventory distribution of control plasma and high-titer COVID-19 convalescent plasma of different blood groups from 29 donor collection centers directly to blood banks serving 26 transfusion sites.

We performed 1,351 transfusions in 16 months. The transparency of the digital inventory at each site was critical to facilitate qualification, randomization, and overnight shipments of blood group-compatible plasma for transfusions into trial participants. While inventory challenges were heightened with COVID-19 convalescent plasma, the cloud-based system, and the flexible approach of the plasma coordination center staff across the blood bank network enabled decentralized procurement and distribution of investigational products to maintain inventory thresholds and overcome local supply chain restraints at the sites.

The rapid creation of a plasma coordination center for outpatient transfusions is infrequent in the academic setting. Distributing more than 3,100 plasma units to blood banks charged with managing investigational inventory across the U.S. in a decentralized manner posed operational and regulatory challenges while providing opportunities for the plasma coordination center to contribute to research of global importance. This program can serve as a template in subsequent public health emergencies.

We reviewed outcomes in all 36 consecutive children <5 kg supported with the Berlin Heart pulsatile ventricular assist device at the University of Florida, comparing those with acquired heart disease (n = 8) to those with congenital heart disease (CHD) (n = 28).

The primary outcome was mortality. The Kaplan-Meier method and log-rank tests were used to assess group differences in long-term survival after ventricular assist device insertion. T-tests using estimated survival proportions were used to compare groups at specific time points.

Of 82 patients supported with the Berlin Heart at our institution, 49 (49/82 = 59.76%) weighed <10 kg and 36 (36/82 = 43.90%) weighed <5 kg. Of 36 patients <5 kg, 26 (26/36 = 72.22%) were successfully bridged to transplantation. (The duration of support with ventricular assist device for these 36 patients <5 kg was [days]: median = 109, range = 4–305.) Eight out of 36 patients <5 kg had acquired heart disease, and all eight [8/8 = 100%] were successfully bridged to transplantation. (The duration of support with ventricular assist device for these 8 patients <5 kg with acquired heart disease was [days]: median = 50, range = 9–130.) Twenty-eight of 36 patients <5 kg had congenital heart disease. Eighteen of these 28 [64.3%] were successfully bridged to transplantation. (The duration of support with ventricular assist device for these 28 patients <5 kg with congenital heart disease was [days]: median = 136, range = 4–305.) For all 36 patients who weighed <5 kg: 1-year survival estimate after ventricular assist device insertion = 62.7% (95% confidence interval = 48.5–81.2%) and 5-year survival estimate after ventricular assist device insertion = 58.5% (95% confidence interval = 43.8–78.3%). One-year survival after ventricular assist device insertion = 87.5% (95% confidence interval = 67.3–99.9%) in acquired heart disease and 55.6% (95% confidence interval = 39.5–78.2%) in CHD, P = 0.036. Five-year survival after ventricular assist device insertion = 87.5% (95% confidence interval = 67.3–99.9%) in acquired heart disease and 48.6% (95% confidence interval = 31.6–74.8%) in CHD, P = 0.014.

Pulsatile ventricular assist device facilitates bridge to transplantation in neonates and infants weighing <5 kg; however, survival after ventricular assist device insertion in these small patients is less in those with CHD in comparison to those with acquired heart disease.

Rapid neurodevelopment occurs during adolescence, which may increase the developing brain’s susceptibility to environmental risk and resilience factors. Adverse childhood experiences (ACEs) may confer additional risk to the developing brain, where ACEs have been linked with alterations in BOLD signaling in brain regions underlying inhibitory control. Potential resiliency factors, like a positive family environment, may attenuate the risk associated with ACEs, but limited research has examined potential buffers to adversity’s impact on the developing brain. The current study aimed to examine how ACEs relate to BOLD response during successful inhibition on the Stop Signal Task (SST) in regions underlying inhibitory control from late childhood to early adolescence and will assess whether aspects of the family environment moderate this relationship.

Participants (N= 9,080; Mage= 10.7, range= 9-13.8 years old; 48.5% female, 70.1% non-Hispanic White) were drawn from the larger Adolescent Brain Cognitive Development (ABCD) Study cohort. ACE risk scores were created (by EAS) using parent and child reports of youth’s exposure to adverse experiences collected at baseline to 2-year follow-up. For family environment, levels of family conflict were assessed based on youth reports on the Family Environment Scale at baseline and 2-year follow-up. The SST, a task-based fMRI paradigm, was used to measure inhibitory control (contrast: correct stop > correct go); the task was administered at baseline and 2-year follow-up. Participants were excluded if flagged for poor task performance. ROIs included left and right dorsolateral prefrontal cortex, anterior cingulate cortex, anterior insula, inferior frontal gyrus (IFG), and pre-supplementary motor area (pre-SMA). Separate linear mixed-effects models were conducted to assess the relationship between ACEs and BOLD signaling in ROIs while controlling for demographics (age, sex assigned at birth, race, ethnicity, household income, parental education), internalizing scores, and random effects of subject and MRI model.

Greater ACEs was associated with reduced BOLD response in the opercular region of the right IFG (b= -0.002, p= .02) and left (b= -0.002, p= .01) and right pre-SMA (b= -0.002, p= .01). Family conflict was related to altered activation patterns in the left pre-SMA, where youth with lower family conflict demonstrated a more robust negative relationship (b=.001, p= .04). ACEs were not a significant predictor in other ROIs, and the relationship between ACEs and BOLD response did not significantly differ across time. Follow-up brain-behavior correlations showed that in youth with lower ACEs, there was a negative correlation between increased activation in the pre-SMA and less impulsive behaviors.

Preadolescents with ACE history show blunted activation in regions underlying inhibitory control, which may increase the risk for future poorer inhibitory control with downstream implications for behavioral/health outcomes. Further, results demonstrate preliminary evidence for the family environment’s contributions to brain health. Future work is needed to examine other resiliency factors that may modulate the impact of ACE exposure during childhood and adolescence. Further, clinical scientists should continue to examine the relationship between ACEs and neural and behavioral correlates of inhibitory control across adolescent development, as risk-taking behaviors progress.

Emotion regulation and functioning have well established links to substance use in adolescents. Yet limited research has investigated emotion regulation in very early substance initiators either on self-report or on behavioral measures (i.e., Emotional Stroop). Similarly, there are few prospective investigations of emotional functioning as a predictor of initiation. Given concerns of emotion difficulties preceding and predicting substance use onset, we aim to investigate emotional functioning difficulties in very early (ages 9–13) substance use initiators relative to sociodemographically matched controls, both after initiation and as a predictor of initiation. We hypothesize that initiators would demonstrate greater emotion dysregulation and decreased emotional functioning relative to controls.

ABCD Study Annual Release 4.0 was used. Participants included those who had data available at Y3 follow-up visit and youth-reported use of any full dose of a substance (n=148). Sociodemographic controls were then matched (n=148). General linear mixed effects models were run to assess emotional functioning at Y3 (Emotional Stroop response time and accuracy performance, youth-reported Emotion Regulation Questionnaire, and parent-reported Difficulties in Emotion Regulation Scale and Child Behavior Checklist externalizing and internalizing symptoms) by substance use group status controlling for random effects of family. Further, hierarchical linear models assessed CBCL emotional functioning from Y0 to Y3 predicting SU initiation at Y3, controlling for within-subject change.

At Y3, early substance use initiation predicted higher parent-reported externalizing symptoms significantly (estimate=5.88, p<.001). Substance use initiation also marginally predicted high parent-reported internalizing symptoms (estimate=2.29, p=.08) and DERS (estimate=0.02, p=.07). ERQ and Stroop performance were not significantly associated with group status (p's>.10). For externalizing symptoms predicting SU initiation, regardless of year (baseline through Y3) was significantly predictive of initiation (p's<.001). HLM demonstrated that externalizing symptoms at all time points resulted in the best predictive model (AIC=392.85, BIC=422.80, relative to models including all data through Y2, AIC=433.63, BIC=458.59).

Here we found externalizing symptoms and, to a lesser extent, internalizing symptoms and emotion dysregulation are associated with early substance use initiation. However, results are limited to parent report, despite the consideration of youth-report and a behavioral measure of emotion regulation, the Emotional Stroop task. Further, while marginal effects were found, downstream externalizing symptoms were a better predictor of later substance use initiation. While other metrics of emotion regulation have been linked to substance use in adolescence, emotion regulation abilities may change as a result of substance use, rather than a predictor of use, and thus needs monitoring over time.

This paper examined whether distinct life-course trajectories of psychological distress from adolescence to midlife were associated with poorer mental health outcomes during the pandemic.

We present a secondary analysis of two nationally representative British birth cohorts, the 1958 National Child Development Study (NCDS) and 1970 British Cohort Study (BCS70). We used latent variable mixture models to identify pre-pandemic longitudinal trajectories of psychological distress and a modified Poisson model with robust standard errors to estimate associations with psychological distress, life satisfaction and loneliness at different points during the pandemic.

Our analysis identified five distinct pre-pandemic trajectories of psychological distress in both cohorts. All trajectories with prior symptoms of psychological distress irrespective of age of onset, severity and chronicity were associated with a greater relative risk of poorer mental health outcomes during the pandemic and the probability of poorer mental health associated with psychological distress trajectories remained fairly constant. The relationship was not fully attenuated when most recent pre-pandemic psychological distress and other midlife factors were controlled for.

Whilst life-course trajectories with any prior symptoms of psychological distress put individuals at greater risk of poor mental health outcomes during the pandemic, those with chronic and more recent occurrences were at highest risk. In addition, prior poor mental health during the adult life-course may mean individuals are less resilient to shocks, such as pandemics. Our findings show the importance of considering heterogeneous mental health trajectories across the life-course in the general population in addition to population average trends.

The goal of a research ethics consultation service (RECS) is to assist relevant parties in navigating the ethical issues they encounter in conduct of research. The goal of this survey was to describe the current landscape of research ethics consultation and document if and how it has changed over the last decade.

The survey instrument was based on the survey previously circulated. We included a number of survey domains from the previous survey with the goal of direct comparison of outcomes. The survey was sent to 57 RECS in the USA and Canada.

Forty-nine surveys were completed for an overall response rate of 86%. With the passing of 10 years, the volume of consults received by RECS surveyed has increased. The number of consults received by a subset of RECS remains low. RECS continues to receive requests for consults from a wide range of stakeholders. About a quarter of RECS surveyed actively evaluate their services, primarily through satisfaction surveys routinely shared with requestors. The number of RECS evaluating their services has increased. We identified a group of eight key competencies respondents find as key to providing RECS.

The findings from our survey demonstrate that there have been growth and development of RECS since 2010. Further developing evaluation and competency guidelines will help existing RECS continue to grow and facilitate newly established RECS maturation. Both will allow RECS personnel to better serve their institutions and add value to the research conducted.

Morbidity and mortality from coronavirus disease 2019 (COVID-19) have been significant among elderly residents of residential aged-care services (RACS). To prevent incursions of COVID-19 in RACS in Australia, visitors were banned and aged-care workers were encouraged to work at a single site. We conducted a review of case notes and a social network analysis to understand how workplace and social networks enabled the spread of severe acute respiratory coronavirus virus 2 (SARS-CoV-2) among RACS.

Retrospective outbreak review.

Staff involved in COVID-19 outbreaks in RACS in Victoria, Australia, May–October 2020.

The Victorian Department of Health COVID-19 case and contact data were reviewed to construct 2 social networks: (1) a work network connecting RACS through workers and (2) a household network connecting to RACS through households. Probable index cases were reviewed to estimate the number and size (number of resident cases and deaths) of outbreaks likely initiated by multisite work versus transmission via households.

Among 2,033 cases linked to an outbreak as staff, 91 (4.5%) were multisite staff cases. Forty-three outbreaks were attributed to multisite work and 35 were deemed potentially preventable had staff worked at a single site. In addition, 99 staff cases were linked to another RACS outbreak through their household contacts, and 21 outbreaks were attributed to staff–household transmission.

Limiting worker mobility through single-site policies could reduce the chances of SARS-CoV-2 spreading from one RACS to another. However, initiatives that reduce the chance of transmission via household networks would also be needed.

Millions of people visit US national parks annually to engage in recreational wilderness activities, which can occasionally result in traumatic injuries that require timely, high-level care. However, no study to date has specifically examined timely access to trauma centers from national parks. This study aimed to examine the accessibility of trauma care from national parks by calculating the travel time by ground and air from each park to its nearest trauma center. Using these calculations, the percentage of parks by census region with timely access to a trauma center was determined.

This was a cross-sectional study analyzing travel times by ground and air transport between national parks and their closest adult advanced trauma center (ATC) in 2018. A list of parks was compiled from the National Parks Service (NPS) website, and the location of trauma centers from the 2018 National Emergency Department Inventory (NEDI)-USA database. Ground and air transport times were calculated using Google Maps and ArcGIS, with medians and interquartile ranges reported by US census region. Percentage of parks by region with timely trauma center access—defined as access within 60 minutes of travel time—were determined based on these calculated travel times.

In 2018, 83% of national parks had access to an adult ATC within 60 minutes of air travel, while only 26% had timely access by ground. Trauma center access varied by region, with median travel times highest in the West for both air and ground transport. At a national level, national parks were unequally distributed, with the West housing the most parks of all regions.

While most national parks had timely access to a trauma center by air travel, significant gaps in access remain for ground, the extent of which varies greatly by region. To improve the accessibility of trauma center expertise from national parks, the study highlights the potential that increased implementation of trauma telehealth in emergency departments (EDs) may have in bridging these gaps.

Clinical research staff play a critical role in recruiting families for pediatric research, but their views are not well described. We aimed to describe how pediatric research staff build trusting research relationships with patients and their families.

We interviewed research staff at one pediatric research institution and its affiliated academic medical center between November 2020 and February 2021. Staff were eligible if they conducted participant recruitment, consent, and/or enrollment for clinical research. We developed our semi-structured interview guide based on a framework for trusting researcher-community partnerships.

We interviewed 28 research staff, with a median age of 28 years (range 22–50) and a median of 5 years of experience (range 1–29). Interviewees identified factors relevant to relationship building across three levels: the individual staff member, the relational interaction with the family, and the institutional or other structural backdrop. Individual factors included how staff developed recruitment skills, their perceived roles, and their personal motivations. Relational factors spanned four stages of recruitment: before the approach, forming an initial connection with a family, building the connection, and following up. Structural factors were related to access and diversity, clinical interactions, and the COVID-19 pandemic.

Research staff discussed tensions and supports with various actors, challenges with the integration of research and clinical care, the importance of voluntariness for building trust, and multiple contributors to inequities in research. These findings reveal the importance of ensuring research staff have a voice in institutional policies and are supported to advocate for patients and families.