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Long-term birth cohorts are essential for studying health and disease over the life course. The retention of participants remains a challenge in study design. Previous research works on attrition are limited in length of follow-up time and lack of racial/ethnic diversity. Using data from the Wayne County Health, Environment, Allergy, and Asthma Longitudinal Study (WHEALS; United States cohort born between 2004 and 2007, n = 1258), we first performed longitudinal latent class analyses to identify patterns of participation spanning the prenatal period and six follow-up timepoints: 1, 6, 12, and 24 months; 3–6 years; and 10–12 years. Data collection included a combination of in-person visits, home visits, home specimen kits, and staff-administered questionnaires. We examined associations between baseline factors and participation class using multinomial logistic regression modeling, and with conditional inference modeling to identify variables most strongly associated with class. We identified four participation classes: high early participation with gradual loss-to-follow-up, sporadic participation, consistently high participation, and consistently low participation. Multiple baseline characteristics were associated with participation class. The “consistently high participation” class was disproportionately composed of participants who were older, were of higher education, had private insurance, had suburban residence, and were with higher income. Conditional inference trees identified maternal education, insurance, and income as most strongly associated with participation class. Through latent class modeling, we show that participants who were lost to follow-up fell into distinct groupings of participation. In the future, preparatory communications with those who are at the highest risk of study discontinuation may improve long-term retention.
The cause of most CHD is unknown and considered complex, implicating genetic and environmental factors in disease causation. The Kids Heart BioBank was established in 2003 to accelerate genetic investigations into CHD.
Methods:
Recruitment includes patients undergoing interventions for CHD at The Children’s Hospital at Westmead. Informed consent is obtained from parents/guardians, and blood is collected at the time of cardiac intervention from which DNA is extracted and stored. Associated detailed clinical information and a family history are stored in the purpose-designed database.
Results:
To date, the Kids Heart BioBank contains biospecimens and associated clinical information from over 4,900 patients with CHD and their families. Two-thirds (64.1%) of probands have been included in research studies with 28.9% of participants who underwent genomic sequencing receiving a molecular diagnosis with direct clinical utility. The value of this resource to patients and families is highlighted by the high consent rate (94.6%) and the low withdrawal of consent rate (0.4%). The Kids Heart BioBank has supported many large national and international collaborations and contributed significantly to CHD research.
Conclusions:
The Kids Heart BioBank is an invaluable resource and, together with other similar resources, the resulting research has paved the way for clinical genetic testing options for CHD patients, previously not possible. With research in the field moving away from diagnosing monogenic disease, the Kids Heart BioBank is ideally placed to support the next chapter of research efforts into complex disease mechanisms, requiring large patient cohorts with detailed phenotypic information.
The effect of treatment with praziquantel (PZQ) on the tegument of adult Schistosoma mansoni worms and on liver egg-granulomas has been examined in mice infected with PZQ-resistant and -susceptible parasite isolates. Two PZQ-resistant S. mansoni isolates, one selected by passage in the laboratory under drug pressure and one from Senegal established from eggs excreted by an uncured patient, were compared with PZQ-susceptible control isolates. Scanning electron microscopic observations on the tegument of Schistosoma adult worms treated in vivo with PZQ showed that more severe damage was inflicted by PZQ on susceptible worms than on drug-resistant worms. Observations on the pathology of Schistosoma egg-granulomas in the liver of infected mice after treatment with PZQ indicated that eggs from susceptible control isolates were more sensitive to PZQ than those from drug-resistant isolates.
OBJECTIVES/GOALS: To examine the individual and combined association between preoperative sleep disturbance (SD) and depression and 12-month disability, back pain, and leg pain after lumbar spine surgery (LSS). METHODS/STUDY POPULATION: We analyzed prospectively collected multi-center registry data from 700 patients undergoing LSS (mean age=60.9 years, 37% female, 89% white). Preoperative SD and depression were assessed with PROMIS measures. Established thresholds defined patients with moderate/severe symptoms. Disability (Oswestry Disability Index) and back and leg pain (Numeric Rating Scales) were assessed preoperatively and at 12 months. We conducted separate regressions to examine the influence of SD and depression on each outcome. Regressions examined each factor with and without accounting for the other and in combination as a 4-level variable. Covariates included age, sex, race, education, insurance, body mass index, smoking status, preoperative opioid use, fusion status, revision status, and preoperative outcome score. RESULTS/ANTICIPATED RESULTS: One hundred thirteen (17%) patients reported moderate/severe SD alone, 70 (10%) reported moderate/severe depression alone, and 57 (8%) reported both moderate/severe SD and depression. In independent models, preoperative SD and depression were significantly associated with 12-month outcomes (all p’s<0.05). After accounting for depression, preoperative SD was only associated with disability, while preoperative depression adjusting for SD remained associated with all outcomes (all p’s<0.05). Patients reporting both moderate/severe SD and moderate/severe depression had 12.6 points higher disability (95%CI=7.4 to 17.8) and 1.5 points higher back (95%CI=0.8 to 2.3) and leg pain (95%CI=0.7 to 2.3) compared to patients with no/mild SD and no/mild depression. DISCUSSION/SIGNIFICANCE: Preoperative SD and depression are independent predictors of 12-month disability and pain when considered in isolation. The combination of SD and depression impacts postoperative outcomes considerably. The high-risk group of patients with moderate/severe SD and depression could benefit from targeted treatment strategies.
OBJECTIVES/GOALS: to investigate the potential impact of grandparental factors and multigenerational epigenetic inheritance on the development of ASD METHODS/STUDY POPULATION: Our study recruited participants from the CHARGE (Child Autism Risks from Genetics and the Environment) study, including grandparents, parents, and children. A questionnaire was used to gather information about the participants’ exposure to environmental factors. Saliva samples werecollected from 349 participants. Newborn dried blood spotsfrom probands and parents are still being collected from the California New born Registry. DNA was extracted from 349 saliva samples from 85 families and subjected to whole genome bisulfite sequencing (WGBS) to analyze DNA methylation. Sequence alignments and bioinformatic analyses will be performed using R packages called DMRichR and Comethyl. RESULTS/ANTICIPATED RESULTS: Sequence alignments and bioinformatic analyses are ongoing, utilizing DMRichR to identify individual genomic loci associated with ASD in each of the three generations and Comethyl to compare correlation patterns between methylation marks and selected variables, including grand parental exposures. New born blood spot collections of parents and probands are ongoing and will be used to identify potential ASD epigenomic signatures that are tissue and life-stage independent. DISCUSSION/SIGNIFICANCE: This research will provide new insights into the increased prevalence and underlying etiology of ASD that should pave the way for future research in the field. DNA Methylation signatures can help create molecular biomarkers which can be used together with behavioral clinical tests for diagnosis of ASD.
Oxygen isotope analyses (δO18) of micas that were artificially depleted in K+ indicate little or no isotope exchange during the transformation. The oxidation of iron in K-depleted, iron-rich micas by H2O2 treatment resulted in 1.6 to 4.6% decrease in SO18 due to the fact that the equilibrium fractionation factor is less than the initial difference between the starting δO18 of the fluid and micas. The oxygen isotope ratio of a saponite formed by the weathering of phlogopite showed a 9.7% increase in δO18 due to authigenic recrystallization. These results suggest that oxygen isotope ratios can be used to determine the nature of chemical transformation during the weathering of mica to vermiculite and/or smectite.
Clinical outcomes of repetitive transcranial magnetic stimulation (rTMS) for treatment of treatment-resistant depression (TRD) vary widely and there is no mood rating scale that is standard for assessing rTMS outcome. It remains unclear whether TMS is as efficacious in older adults with late-life depression (LLD) compared to younger adults with major depressive disorder (MDD). This study examined the effect of age on outcomes of rTMS treatment of adults with TRD. Self-report and observer mood ratings were measured weekly in 687 subjects ages 16–100 years undergoing rTMS treatment using the Inventory of Depressive Symptomatology 30-item Self-Report (IDS-SR), Patient Health Questionnaire 9-item (PHQ), Profile of Mood States 30-item, and Hamilton Depression Rating Scale 17-item (HDRS). All rating scales detected significant improvement with treatment; response and remission rates varied by scale but not by age (response/remission ≥ 60: 38%–57%/25%–33%; <60: 32%–49%/18%–25%). Proportional hazards models showed early improvement predicted later improvement across ages, though early improvements in PHQ and HDRS were more predictive of remission in those < 60 years (relative to those ≥ 60) and greater baseline IDS burden was more predictive of non-remission in those ≥ 60 years (relative to those < 60). These results indicate there is no significant effect of age on treatment outcomes in rTMS for TRD, though rating instruments may differ in assessment of symptom burden between younger and older adults during treatment.
Timely intervention is beneficial to the effectiveness of eating disorder (ED) treatment, but limited capacity within ED services means that these disorders are often not treated with sufficient speed. This service evaluation extends previous research into guided self-help (GSH) for adults with bulimic spectrum EDs by assessing the feasibility, acceptability, and preliminary effectiveness of virtually delivered GSH using videoconferencing.
Method:
Patients with bulimia nervosa (BN), binge eating disorder (BED) and other specified feeding and eating disorders (OSFED) waiting for treatment in a large specialist adult ED out-patient service were offered virtually delivered GSH. The programme used an evidence-based cognitive behavioural self-help book. Individuals were supported by non-expert coaches, who delivered the eight-session programme via videoconferencing.
Results:
One hundred and thirty patients were allocated to a GSH coach between 1 September 2020 and 30 September 2022; 106 (82%) started treatment and 78 (60%) completed treatment. Amongst completers, there were large reductions in ED behaviours and attitudinal symptoms, measured by the ED-15. The largest effect sizes for change between pre- and post-treatment were seen for binge eating episode frequency (d = –0.89) and concerns around eating (d = –1.72). Patients from minoritised ethnic groups were over-represented in the non-completer group.
Conclusions:
Virtually delivered GSH is feasible, acceptable and effective in reducing ED symptoms amongst those with bulimic spectrum disorders. Implementing virtually delivered GSH reduced waiting times, offering a potential solution for long waiting times for ED treatment. Further research is needed to compare GSH to other brief therapies and investigate barriers for patients from culturally diverse groups.
Alzheimer’s disease (AD), a leading cause of dementia worldwide, affected an estimated 47 million people in 2015, placing a burden of over $1 trillion on health systems. Subclinical markers of AD pathology are seen many years before the clinical onset of dementia, suggesting that steps could be taken to prevent progression to disease in healthy individuals. Sleep optimizes cognition by creating a window of opportunity to consolidate memories, prune synaptic networks, and clear waste products. Studies that characterize the relationship between sleep and cognitive function prior to the onset of clinical AD could guide research into effective methods of delaying AD onset or preventing it altogether. The objective of our study is to describe how sleep quality and quantity correlate with performance on cognitive assessments within a healthy, aging population.
Participants and Methods:
Seventeen participants, between 62-82 years of age enrolled in an ongoing clinical trial assessing the effects of melatonin (5mg daily) versus placebo, were included in our study. Participants were observed over a 2-month period, during which no experimental interventions were administered. At study entry, participants underwent a comprehensive neuropsychological evaluation evaluating cognitive domains of attention, memory, speed of information processing, language, executive functioning, and mood. Afterwards, all participants wore a watch that measured actigraphy and light data (Philips Actiwatch Spectrum Pro actigraphy monitor) for 8 weeks to evaluate their sleep habits. Pearson and Spearman partial correlations were used to evaluate relationships between objective sleep parameters and baseline cognitive function test scores.
Results:
Aberrations of sleep length, sleep fragmentation, and daytime activity measures significantly correlated with cognitive performance on memory, language, visuospatial skills, and speed of processing tests (p = <0.05). Greater variability of awakenings at nighttime associated with better scores on memory tests but worse scores on language tests. Longer sleep times associated with worse language scores, while greater variability in daily activity correlated with poorer scores on visuospatial skills tests and speed of processing tests.
Conclusions:
This study establishes a framework for obtaining longitudinal sleep data in conjunction with serial cognitive function testing, encouraging further exploration into how sleep metrics affect specific domains of cognitive function. Findings suggest that having a less consistent sleep routine correlates with poorer cognitive function across multiple domains. The authors recommend broader analysis of actigraphy and cognitive function testing as objective measures of sleep and cognition in research and clinical practice.
Background: Perinatal arterial ischemic stroke (PAIS) is a leading cause of hemiparetic cerebral palsy. Multiple risk factors are associated with PAIS but studies are limited by small sample sizes and complex interactions. Unbiased machine learning applied to larger datasets may enable the development of robust predictive models. We aimed to use machine learning to identify risk factors predictive of PAIS and compare these to the existing literature. Methods: Common data elements of maternal, delivery, and neonatal factors were collected from three perinatal stroke registries and one control sample over a 7-year period. Inclusion criteria were MRI-confirmed PAIS, term birth, and idiopathic etiology. Random forest machine learning in combination with feature selection was used to develop a predictive model of PAIS. Results: Total of 2571 neonates were included (527 cases, 2044 controls). Risk factors uniquely identified through machine learning were infertility, miscarriage, primigravida, and meconium. When compared, factors identified through both literature-based selection and machine learning included maternal age, fetal tobacco exposure, intrapartum fever, and low 5-minute APGAR. Conclusions: Machine learning offers a novel, less biased method to identify PAIS predictors and complex pathophysiology. Our findings support known associations with concepts of placental disease and difficult fetal transition and may support early screening for PAIS.
In June 2019 the Health Protection Team in Yorkshire and Humber, England, was notified of cases of hepatitis A virus (HAV) infection in staff at a secondary school. Investigation revealed that an earlier case worked as a food handler in the school kitchen. Indirect transmission through food from the canteen was considered the most likely route of transmission. Cases were described according to setting of exposure. Oral fluid was obtained from students for serological testing. Environmental investigations were undertaken at settings where food handling was considered a potential transmission risk. Thirty-three confirmed cases were linked to the outbreak. All of those tested (n = 31) shared the same sequence with a HAV IB genotype. The first three cases were a household cluster and included the index case for the school. A further 19 cases (16 students, 3 staff) were associated with the school and consistent with indirect exposure to the food handler. One late onset case could not be ruled out as a secondary case within the school and resulted in vaccination of the school population. Five cases were linked to a bakery where a case from the initial household cluster worked as a food server. No concerns about hygiene standards were noted at either the school or the bakery. Oral fluid samples taken at the time of vaccination from asymptomatic students (n = 219, 11–16 years-old) showed no evidence of recent or current infection. This outbreak included household and foodborne transmission but limited (and possibly zero) person-to-person transmission among secondary school students. Where adequate hygiene exists, secondary transmission within older students may not occur.
Fossil crinoids are exceptionally suited to deep-time studies of community paleoecology and niche partitioning. By merging ecomorphological trait and phylogenetic data, this Element summarizes niche occupation and community paleoecology of crinoids from the Bromide fauna of Oklahoma (Sandbian, Upper Ordovician). Patterns of community structure and niche evolution are evaluated over a ~5 million-year period through comparison with the Brechin Lagerstätte (Katian, Upper Ordovician). The authors establish filtration fan density, food size selectivity, and body size as major axes defining niche differentiation, and niche occupation is strongly controlled by phylogeny. Ecological strategies were relatively static over the study interval at high taxonomic scales, but niche differentiation and specialization increased in most subclades. Changes in disparity and species richness indicate the transition between the early-middle Paleozoic Crinoid Evolutionary Faunas was already underway by the Katian due to ecological drivers and was not triggered by the Late Ordovician mass extinction.
The intellectual model of european nationalism had a powerful impact in the second half the nineteenth century upon Qajar intellectuals and officials, many of whom lived abroad, were fluent in some European language, or were influenced by translations of European works. These thinkers, beginning in the 1850s, were the first to attempt to “imagine” an Iranian nation. That they made this attempt is a result not only of the influence upon them of the modular nationalist experience, but also of their own encounter with the same forces of modernity that were hammering Europe itself—new media of communication, new forms of transportation, and processes of economic differentiation deriving from the rise of core industrial economies and vastly increased world trade—all of which afforded states and other institutions the resources for disciplinary technologies that reshaped the Self.
Understanding how to translate research discoveries into solutions for healthcare improvement is a priority of NIH-funded Clinical and Translational Science Awards (CTSA). This study, supported by one CTSA, aims to capture one process of shaping and implementing innovations to advance the timeliness and patient-centeredness of cardiovascular care. Specifically, we sought to understand a partnership between a private digital health startup company, a university innovation lab, and an academic health system’s cardiology program pursuing this goal.
Findings:
The collaboration proceeded through clear phases to address the questions and challenges: problem definition, exploration and formalization of the partnership, innovation co-creation and pilot test, and scale-up planning. Phases were punctuated by key decisions, such as forming the partnership, negotiating terms of the partnership, iterating form and features of the innovation, and exploring sufficiency of its value-add for scale-up and sustainment. Key implementation concepts were apparent, including implementation strategies (e.g., champions and iterative trialing) and the implementation outcomes of acceptability, sustainment, and scale-up. Participants identified potential risks of collaboration, reflected on their co-creation process, and the value of engaging stakeholders in innovation design. Findings may inform subsequent collaborations between innovators and translational researchers.
Methods:
We conducted a case study to understand the partnership; characterize the questions they pursued, their decision points, information and data sources; and identify the challenges and risks. Data were collected through a series of four focus groups with members of each partnering organization. A transdisciplinary research team iteratively worked to condense and synthesize data from audio recorded transcripts into a case narrative.