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The Hippoboscidae are ectoparasites of birds and mammals, which, as a group, are known to vector multiple diseases. Avipoxvirus (APV) is mechanically vectored by various arthropods and causes seasonal disease in wild birds in the United Kingdom (UK). Signs of APV and the presence of louse flies (Hippoboscidae) on Dunnocks Prunella modularis were recorded over a 16·5-year period in a rural garden in Somerset, UK. Louse flies collected from this site and other sites in England were tested for the presence of APV DNA and RNA sequences. Louse flies on Dunnocks were seen to peak seasonally three weeks prior to the peak of APV lesions, an interval consistent with the previously estimated incubation period of APV in Dunnocks. APV DNA was detected on 13/25 louse flies, Ornithomya avicularia and Ornithomya fringillina, taken from Dunnocks, both with and without lesions consistent with APV, at multiple sites in England. Collectively these data support the premise that louse flies may vector APV. The detection of APV in louse flies, from apparently healthy birds, and from sites where disease has not been observed in any host species, suggests that the Hippoboscidae could provide a non-invasive and relatively cheap method of monitoring avian diseases. This could provide advanced warnings of disease, including zoonoses, before they become clinically apparent.
Subtle changes in memory, attention, and spatial navigation abilities have been associated with preclinical Alzheimer disease (AD). The current study examined whether baseline AD biomarkers are associated with self- and informant-reported decline in memory, attention, and spatial navigation.
Method:
Clinically normal (Clinical Dementia Rating Scale (CDR®) = 0) adults aged 56–93 (N = 320) and their informants completed the memory, divided attention, and visuospatial abilities (which assesses spatial navigation) subsections of the Everyday Cognition Scale (ECog) annually for an average of 4 years. Biomarker data was collected within (±) 2 years of baseline (i.e., cerebrospinal fluid (CSF) p-tau181/Aβ42 ratio and hippocampal volume). Clinical progression was defined as CDR > 0 at time of final available ECog.
Results:
Self- and informant-reported memory, attention, and spatial navigation significantly declined over time (ps < .001). Baseline AD biomarkers were significantly associated with self- and informant-reported decline in cognitive ability (ps < .030), with the exception of p-tau181/Aβ42 ratio and self-reported attention (p = .364). Clinical progression did not significantly moderate the relationship between AD biomarkers and decline in self- or informant-reported cognitive ability (ps > .062). Post-hoc analyses indicated that biomarker burden was also associated with self- and informant-reported decline in total ECog (ps < .002), and again clinical progression did not significantly moderate these relationships (ps > .299).
Conclusions:
AD biomarkers at baseline may indicate risk of decline in self- and informant-reported change in memory, attention, and spatial navigation ability. As such, subjectively reported decline in these domains may have clinical utility in tracking the subtle cognitive changes associated with the earliest stages of AD.
Preclinical Alzheimer disease (AD) has been associated with subtle changes in memory, attention, and spatial navigation abilities. The current study examined whether self- and informant-reported domain-specific cognitive changes are sensitive to AD-associated biomarkers.
Method:
Clinically normal adults aged 56–93 and their informants completed the memory, divided attention, and visuospatial abilities (which assesses spatial navigation) subsections of the Everyday Cognition Scale (ECog). Reliability and validity of these subsections were examined using Cronbach’s alpha and confirmatory factor analysis. Logistic regression was used to examine the ability of ECog subsections to predict AD-related biomarkers (cerebrospinal fluid (CSF) ptau181/Aβ42 ratio (N = 371) or hippocampal volume (N = 313)). Hierarchical logistic regression was used to examine whether the self-reported subsections continued to predict biomarkers when controlling for depressive symptomatology if available (N = 197). Additionally, logistic regression was used to examine the ability of neuropsychological composites assessing the same or similar cognitive domains as the subsections (memory, executive function, and visuospatial abilities) to predict biomarkers to allow for comparison of the predictive ability of subjective and objective measures.
Results:
All subsections demonstrated appropriate reliability and validity. Self-reported memory (with outliers removed) was the only significant predictor of AD biomarker positivity (i.e., CSF ptau181/Aβ42 ratio; p = .018) but was not significant when examined in the subsample with depressive symptomatology available (p = .517). Self-reported memory (with outliers removed) was a significant predictor of CSF ptau181/Aβ42 ratio biomarker positivity when the objective memory composite was included in the model.
Conclusions:
ECog subsections were not robust predictors of AD biomarker positivity.
Climate change was the defining issue in the 2022 Australian federal election. As a new administration takes power, all sectors, including the performing arts, need to keep up the pressure. An iconic moment of “coal theatrics” in Parliament House, so labeled by the Australian media, stands in contrast to artistic performances that continue to put pressure on the framers of political and cultural policy.
To determine whether primary school children’s weight status and dietary behaviours vary by remoteness as defined by the Australian Modified Monash Model (MMM).
Design:
A cross-sectional study design was used to conduct secondary analysis of baseline data from primary school students participating in a community-based childhood obesity trial. Logistic mixed models estimated associations between remoteness, measured weight status and self-reported dietary intake.
Setting:
Twelve regional and rural Local Government Areas in North-East Victoria, Australia.
Participants:
Data were collected from 2456 grade 4 (approximately 9–10 years) and grade 6 (approximately 11–12 years) students.
Results:
The final sample included students living in regional centres (17·4 %), large rural towns (25·6 %), medium rural towns (15·1 %) and small rural towns (41·9 %). Weight status did not vary by remoteness. Compared to children in regional centres, those in small rural towns were more likely to meet fruit consumption guidelines (OR: 1·75, 95 % CI (1·24, 2·47)) and had higher odds of consuming fewer takeaway meals (OR: 1·37, 95 % CI (1·08, 1·74)) and unhealthy snacks (OR = 1·58, 95 % CI (1·15, 2·16)).
Conclusions:
Living further from regional centres was associated with some healthier self-reported dietary behaviours. This study improves understanding of how dietary behaviours may differ across remoteness levels and highlights that public health initiatives may need to take into account heterogeneity across communities.
The University of Pittsburgh (Pitt) Clinical and Translational Science Institute (CTSI) and the nonprofit Bidwell Training Center co-developed a new program for translational workforce diversification and development to foster diversity and inclusion in clinical research. The STricklAnd Research Training (START) program provides students in the Medical Assistant program at Bidwell a career path in clinical research. We created a 12-hour didactic package that covers responsible conduct of human subjects research and good clinical practice as an add-on to existing vocational curriculums. Students have the option of completing a clinical research-related externship at Pitt, which includes mentoring, shadowing, and protocol-specific training on a study team whose intention is to hire them as a clinical research assistant. Those who accept a position at Pitt receive continued mentorship, education, and professional development through Pitt CTSI. In the first three cohorts, two of which had access to research externships at Pitt, 92% of students successfully completed the instruction in clinical research. We plan to expand START to new venues to train and hire local community members from diverse backgrounds who can bring their lived experience to research programs.
An accomplished dancer, acrobat, and physical theatre performer, Hanna Cormick became ill in 2014 with a trifecta of rare genetic conditions that make her severely allergic to pollutants in the air — smoke, detergents, and food particles — and her bones and internal organs prone to dislocation. In January 2020, during Australia’s summer of unprecedented bushfires, Cormick staged The Mermaid, risking her life to make a performance about the climate emergency and how we are all vulnerable bodies at risk in a changing environment.
The commercialization of medical devices and biotechnology products is characterized by high failure rates and long development lead times particularly among start-up enterprises. To increase the success rate of these high-risk ventures, the University of Massachusetts Lowell (UML) and University of Massachusetts Medical School (UMMS) partnered to create key academic support centers with programs to accelerate entrepreneurship and innovation in this industry. In 2008, UML and UMMS founded the Massachusetts Medical Device Development Center (M2D2), which is a business and technology incubator that provides business planning, product prototyping, laboratory services, access to clinical testing, and ecosystem networking to medical device and biotech start-up firms. M2D2 has three physical locations that encompass approximately 40,000 square feet. Recently, M2D2 leveraged these resources to expand into new areas such as health security, point of care technologies for heart, lung, blood, and sleep disorders, and rapid diagnostics to detect SARS-CoV-2. Since its inception, M2D2 has vetted approximately 260 medical device and biotech start-up companies for inclusion in its programs and provided active support to more than 80 firms. This manuscript describes how two UMass campuses leveraged institutional, state, and Federal resources to create a thriving entrepreneurial environment for medical device and biotech companies.
OBJECTIVES/GOALS: In March 2019, Duke updated recruitment guidelines and adopted an “Engagement” policy that requires patients to ‘opt-out’ of communications regarding potential research participation. This created an opportunity to evaluate recruitment for ongoing clinical studies pre and post implementation. METHODS/STUDY POPULATION: Implementation of the new policy required new training for study teams, modification to recruitment plans, and expansion of ongoing efforts to improve direct-to-patient messaging through EPIC/MyChart tools. The impact of this new policy on overall recruitment was monitored and characterized both prior to and after implementation of the policy. Customized MyChart messages have been generated for over 22 studies, with a total of 41,386 messages sent to potential participants. RESULTS/ANTICIPATED RESULTS: Only a small number of study teams have modified their recruitment plans with transition to the new policy. This may be related to lack of understanding about policy implementation, potential recruitment opportunities, required training, resource limitations, etc. However, our case study, TMIST, had an 48% improvement in average enrollment within the first 2 months of implementation, and an almost 40% improvement in recruitment efficiency. Since becoming an “opt-out” institution, 11 study teams have implemented direct-to-patient recruitment via the MyChart patient portal. One unintended consequence we’ve noted is several different study invitations to potential participants within some patient populations. DISCUSSION/SIGNIFICANCE OF IMPACT: The new policy allows study teams to engage in direct-to-patient outreach, leading to an increase in enrollment for some studies. Incorporation of direct-to-patient messaging strategies can be a cost and resource saving measure to improve recruitment. The need to recruit similar populations demonstrated that strategic, thoughtful approaches are needed.
In the United States, approximately 20% patients die annually during a hospitalization with an intensive care unit (ICU) stay. Each year, critical care costs exceed $82 billion, accounting for 13% of all inpatient hospital costs. Treatment of sepsis is listed as the most expensive condition in US hospitals, costing more than $20 billion annually. Electronic Medical Orders for Life-Sustaining Treatment (eMOLST) is a standardized documentation process used in New York State to convey patients’ wishes regarding cardiopulmonary resuscitation and other life-sustaining treatments. No study to date has looked at the effect of eMOLST as an advance care planning tool on ICU and hospital costs using estimates of direct costs. The objective of our study was to investigate whether signing of eMOLST results in any reduction in length of stay and direct costs for a community-based hospital in New York State.
Method
A retrospective chart review was conducted between July 2016 and July 2017. Primary outcome measures included length of hospital stay, ICU length of stay, total direct costs, and ICU costs. Inclusion criteria were patients ≥65 years of age and admitted into the ICU with a diagnosis of sepsis. An independent samples t test was used to test for significant differences between those who had or had not completed the eMOLST form.
Result
There were no statistical differences for patients who completed or did not complete the eMOLST form on hospital's total direct cost, ICU cost, total length of hospital stay, and total hours spent in the ICU.
Significance of results
Completing an eMOLST form did not have any effect on reducing total direct cost, ICU cost, total length of hospital stay, and total hours spent in the ICU.
As our title indicates, by almost every measure, 1986 was a good year for biopolitics. First, the total number of items which appeared, 116, set an all-time record (the previous high was 92 in 1985). Second, there continued to be an influx of new entrants, with 22 first-time contributors emerging from our literature search. Third, 15 percent of the items were written by non-American political scientists, up from last year's 10 percent and an indication, we believe, of the healthy growth in international interest. Fourth, and perhaps best of all, five biopolitical dissertations-in-progress, or actually completed, were listed in the annual PS compilation, a nice upturn from 1984's low.
Some data suggest that older adults with anxiety disorders do not respond as well to treatment as do younger adults.
Aims
We examined age differences in outcomes from the Coordinated Anxiety Learning and Management (CALM) study, an effectiveness trial comparing usual care to a computer-assisted collaborative care intervention for primary care patients with panic disorder, generalised anxiety disorder, post-traumatic stress disorder (PTSD), and/or social anxiety disorder. This is the first study to examine the efficacy of a collaborative care intervention in a sample that included both younger and older adults with anxiety disorders. We hypothesised that older adults would show a poorer response to the intervention than younger adults.
Method
We examined findings for the overall sample, as well as within each diagnostic category (clinicaltrials.gov identifier: NCT00347269).
Results
The CALM intervention was more effective than usual care among younger adults overall and for those with generalised anxiety disorder, panic disorder and social anxiety disorder. Among older adults, the intervention was effective overall and for those with social anxiety disorder and PTSD but not for those with panic disorder or generalised anxiety disorder. The effects of the intervention also appeared to erode by the 18-month follow-up, and there were no significant effects on remission among the older adults.
Conclusions
These results are consistent with the findings of other investigators suggesting that medications and psychotherapy for anxiety disorders may not be as effective for older individuals as they are for younger people.
To review the effectiveness of physical activity interventions for adults aged 50 and above, delivered through general practice.
Background
Physical activity has beneficial effects on the common disorders of later life. General practice is a potentially important setting for promotion of physical activity among older adults, but the effectiveness of such interventions is presently unknown.
Methods
Studies published between January 1998 and July 2011 were identified from electronic databases. We searched for studies of tailored physical activity interventions to older adults through general practice. The search and selection process was not restricted to any outcome measures but only included studies comparing two or more groups prospectively. Two reviewers screened the studies and obtained full texts of eligible studies. Included studies were assessed for their methodological quality and public health impact.
Findings
Altogether, 4170 studies met the initial search criteria but only six were included in the review, with a total of 1522 participants. The interventions ranged from six weeks to six months. One study showed a statistically significant increase in physical activity in the intervention compared with the control group (P ⩽ 0.007). Four studies measured quality of life using the SF-36, of which three reported inconsistent results. This review shows some evidence of the effectiveness of physical activity promotion for older adults through general practice, but not enough to warrant widespread commissioning and implementation. Large-scale developmental projects with long follow-up (beyond two years), objective measures of physical activity and comprehensive documentation of resource use, should now be conducted.