Viral SARS-CoV-2 Rebound Rates in Linked Commercial Pharmacy-Based Testing and Health Care Claims.

Background: Viral SARS-CoV-2 rebound (viral RNA rebound) is challenging to characterize in large cohorts due to the logistics of collecting frequent and regular diagnostic test results. Pharmacy-based testing data provide an opportunity to study the phenomenon in a large population, also enabling subgroup analyses. The current real-world evidence approach complements approaches focused on smaller, prospective study designs. Methods: We linked real-time reverse transcription quantitative polymerase chain reaction test data from national pharmacy-based testing to health care claims data via tokenization to calculate the cumulative incidence of viral RNA rebound within 28 days following positive test results in nirmatrelvir/ritonavir (NMV-r)-treated and untreated individuals during the Omicron era (December 2021-November 2022) and prior to the Omicron era (October 2020-November 2021). Results: Among 30 646 patients, the rate of viral RNA rebound was 3.5% (95% CI, 2.0%-5.7%) in NMV-r-treated infections as compared with 1.5% (95% CI, 1.3%-1.7%) in untreated infections during the Omicron era and 1.9% (95% CI, 1.7%-2.1%) prior to the Omicron era. Viral RNA rebound in patients who were vaccinated (n = 8151), high risk (n = 4411), or older (≥65 years, n = 4411) occurred at comparable rates to the overall cohort (range, 1.1%-4.8%). Viral rebounds to high RNA levels in NMV-r-treated infections occurred in 8% of viral rebounds as compared with 5% to 11% in untreated infections. Rates of hospitalization were comparable between patients with NMV-r-treated infections with viral RNA rebound (0%) and untreated patients with viral RNA rebound (0%-1.2%). Conclusions: Our findings suggest viral RNA rebound is rare (< 5%), with rates that were consistent with those from the EPIC-HR trial (Evaluation of Protease Inhibition for COVID-19 in High-Risk Patients). Most occurrences of viral RNA rebound were associated with low viral RNA levels, and viral RNA rebound progression to severe disease was not observed.

A Bayesian multilevel model for populations of networks using exponential-family random graphs.

The collection of data on populations of networks is becoming increasingly common, where each data point can be seen as a realisation of a network-valued random variable. Moreover, each data point may be accompanied by some additional covariate information and one may be interested in assessing the effect of these covariates on network structure within the population. A canonical example is that of brain networks: a typical neuroimaging study collects one or more brain scans across multiple individuals, each of which can be modelled as a network with nodes corresponding to distinct brain regions and edges corresponding to structural or functional connections between these regions. Most statistical network models, however, were originally proposed to describe a single underlying relational structure, although recent years have seen a drive to extend these models to populations of networks. Here, we describe a model for when the outcome of interest is a network-valued random variable whose distribution is given by an exponential random graph model. To perform inference, we implement an exchange-within-Gibbs MCMC algorithm that generates samples from the doubly-intractable posterior. To illustrate this approach, we use it to assess population-level variations in networks derived from fMRI scans, enabling the inference of age- and intelligence-related differences in the topological structure of the brain's functional connectivity. Supplementary Information: The online version contains supplementary material available at 10.1007/s11222-024-10446-0.

Review of weighted exponential random graph models frameworks applied to neuroimaging.

Neuro-imaging data can often be represented as statistical networks, especially for functional magnetic resonance imaging (fMRI) data, where brain regions are defined as nodes and the functional interactions between those regions are taken as edges. Such networks are commonly divided into classes depending on the type of edges, namely binary or weighted. A binary network means edges can either be present or absent. Whereas the edges of a weighted network are associated with weight values, and fMRI networks belong to weighted networks. Statistical methods are often adopted to analyse such networks, among which, the exponential random graph model (ERGM) is an important network analysis approach. Typically ERGMs are applied to binary networks, and weighted networks often need to be binarised by arbitrarily selecting a threshold value to define the presence of the edges, which can lead to non-robustness and loss of valuable edge weight information representing the strength of fMRI interaction in fMRI networks. While it is therefore important to gain deeper insight in adopting ERGM on weighted networks, there only exists a few different ERGM frameworks for weighted networks; some of these are not directly implementable on fMRI networks based on their original proposal. We systematically review, implement, analyse and compare five such frameworks via a simulation study and provide guidelines on each modelling framework as well as conclude the suitability of them on fMRI networks based on a range of criteria. We concluded that Multi-Layered ERGM is currently the most suitable framework.

Acceptability of a proposed practice pharmacist-led review for opioid-treated patients with persistent pain: A qualitative study to inform intervention development.

Introduction: Regular review of patients prescribed opioids for persistent non-cancer pain (PCNP) is recommended but not routinely undertaken. The PROMPPT (Proactive clinical Review of patients taking Opioid Medicines long-term for persistent Pain led by clinical Pharmacists in primary care Teams) research programme aims to develop and test a pharmacist-led pain review (PROMPPT) to reduce inappropriate opioid use for persistent pain in primary care. This study explored the acceptability of the proposed PROMPPT review to inform early intervention development. Methods: Interviews (n = 15) and an online discussion forum (n = 31) with patients prescribed opioids for PCNP and interviews with pharmacists (n = 13), explored acceptability of a proposed PROMPPT review. A prototype PROMPPT review was then tested and refined through 3 iterative cycles of in-practice testing (IPT) (n = 3 practices, n = 3 practice pharmacists, n = 13 patients). Drawing on the Theoretical Framework of Acceptability (TFA), a framework was generated (including a priori TFA constructs) allowing for deductive and inductive thematic analysis to identify aspects of prospective and experienced acceptability. Results: Patients felt uncertain about practice pharmacists delivering the proposed PROMPPT review leading to development of content for the invitation letter for IPT (introducing the pharmacist and outlining the aim of the review). After IPT, patients felt that pharmacists were suited to the role as they were knowledgeable and qualified. Pharmacists felt that the proposed reviews would be challenging. Although challenges were experienced during delivery of PROMPPT reviews, pharmacists found that they became easier to deliver with time, practise and experience. Recommendations for optimisations after IPT included development of the training to include examples of challenging consultations. Conclusions: Uptake of new healthcare interventions is influenced by perceptions of acceptability. Exploring prospective and experienced acceptability at multiple time points during early intervention development, led to mini-optimisations of the prototype PROMPPT review ahead of a non-randomised feasibility study.

Prevalence and patterns of neuropathic pain in people with chronic post-surgical pain after total knee arthroplasty.

Aims: The aim of this study was to describe the prevalence and patterns of neuropathic pain over one year in a cohort of patients with chronic post-surgical pain at three months following total knee arthroplasty (TKA). Methods: Between 2016 and 2019, 363 patients with troublesome pain, defined as a score of ≤ 14 on the Oxford Knee Score pain subscale, three months after TKA from eight UK NHS hospitals, were recruited into the Support and Treatment After Replacement (STAR) clinical trial. Self-reported neuropathic pain and postoperative pain was assessed at three, nine, and 15 months after surgery using the painDETECT and Douleur Neuropathique 4 (DN4) questionnaires collected by postal survey. Results: Symptoms of neuropathic pain were common among patients reporting chronic pain at three months post-TKA, with half reporting neuropathic pain on painDETECT (191/363; 53%) and 74% (267/359) on DN4. Of those with neuropathic pain at three months, half continued to have symptoms over the next 12 months (148/262; 56%), one-quarter had improved (67/262; 26%), and for one-tenth their neuropathic symptoms fluctuated over time (24/262; 9%). However, a subgroup of participants reported new, late onset neuropathic symptoms (23/262; 9%). Prevalence of neuropathic symptoms was similar between the screening tools when the lower cut-off painDETECT score (≥ 13) was applied. Overall, mean neuropathic pain scores improved between three and 15 months after TKA. Conclusion: Neuropathic pain is common in patients with chronic pain at three months after TKA. Although neuropathic symptoms improved over time, up to half continued to report painful neuropathic symptoms at 15 months after TKA. Postoperative care should include screening, assessment, and treatment of neuropathic pain in patients with early chronic postoperative pain after TKA.

Bayesian profile regression for clustering analysis involving a longitudinal response and explanatory variables.

The identification of sets of co-regulated genes that share a common function is a key question of modern genomics. Bayesian profile regression is a semi-supervised mixture modelling approach that makes use of a response to guide inference toward relevant clusterings. Previous applications of profile regression have considered univariate continuous, categorical, and count outcomes. In this work, we extend Bayesian profile regression to cases where the outcome is longitudinal (or multivariate continuous) and provide PReMiuMlongi, an updated version of PReMiuM, the R package for profile regression. We consider multivariate normal and Gaussian process regression response models and provide proof of principle applications to four simulation studies. The model is applied on budding yeast data to identify groups of genes co-regulated during the Saccharomyces cerevisiae cell cycle. We identify 4 distinct groups of genes associated with specific patterns of gene expression trajectories, along with the bound transcriptional factors, likely involved in their co-regulation process.

Designing a primary care pharmacist-led review for people treated with opioids for persistent pain: a multi-method qualitative study.

BACKGROUND: Opioids are frequently prescribed for persistent non-cancer pain despite limited evidence of long-term effectiveness and risk of harm. Evidence-based interventions to address inappropriate opioid prescribing are lacking. AIM: To explore perspectives of people living with persistent pain to understand barriers and facilitators in reducing opioids in the context of a pharmacist-led primary care review, and identify review components and features for optimal delivery. DESIGN & SETTING: Primary care multi-method qualitative study. METHOD: Adults with experience of persistent pain and taking opioids participated in semi-structured interviews (n=15, 73% female) and an online discussion forum (n=31). The Theoretical Domains Framework (TDF) provided a framework for data collection and thematic analysis, involving deductive analysis to TDF domains, inductive analysis within-domains to generate subthemes, and subtheme comparison to form across-domain overarching themes. The behaviour change technique taxonomy v.1 and motivational behaviour change technique classification system were used to systematically map themes to behaviour change techniques to identify potential review components and delivery features. RESULTS: 32 facilitator and barrier subthemes for patients reducing opioids were identified across 13 TDF domains. These combined into six overarching themes: learning to live with pain, opioid reduction expectations, assuming a medical model, pharmacist-delivered reviews, pharmacist-patient relationship and patient engagement. Subthemes mapped to 21 unique behaviour change techniques, yielding 17 components and five delivery features for the proposed PROMPPT review. CONCLUSION: This study generated theoretically-informed evidence for design of a practice pharmacist-led PROMPPT review. Future research will test the feasibility and acceptability of the PROMPPT review and pharmacist training.

Exploring the potential extended role of community pharmacy in the management of osteoarthritis: A multi-methods study with pharmacy staff and other healthcare professionals.

INTRODUCTION: Osteoarthritis is the commonest form of chronic joint pain, which patients often self-manage before seeking healthcare advice. Patients frequently seek advice from community pharmacies, and a recent policy has recommended integrating community pharmacies into long-term condition pathways. This study explored community pharmacy teams' (CPs) and other healthcare professionals' (HCPs) views on community pharmacies providing an extended role for osteoarthritis management, identifying potential barriers and facilitators to this. METHODS: A multi-methods study comprising surveys of CPs and other HCPs, followed by qualitative interviews. Descriptive statistics were used in an exploratory analysis of the survey data. Qualitative data were analysed using reflexive thematic analysis and the identified barriers and facilitators were mapped to the Theoretical Domains Framework. RESULT: CPs and other HCPs in the surveys and interviews reported that an extended role for osteoarthritis management could include: a subjective assessment, explaining the joint problem and its treatment, medication management and support for self-care. There was less consensus on diagnosing the problem as OA and completing an objective assessment. A key facilitator was training to deliver the role, whilst barriers were high workload and lack of access to General Practitioner medical records. DISCUSSION: Acceptable elements of an extended community pharmacy role for osteoarthritis centre around the provision of information, advice on medication and supported self-management. CONCLUSION: CPs are well placed to contribute towards evidenced-based osteoarthritis management. Feasibility testing of delivering the extended role is needed and future implementation requires training for CPs and raising public awareness of the extended role.

REST: a preoperative tailored sleep intervention for patients undergoing total knee replacement - feasibility study for a randomised controlled trial.

OBJECTIVES: To test the feasibility of a randomised controlled trial (RCT) of a novel preoperative tailored sleep intervention for patients undergoing total knee replacement. DESIGN: Feasibility two-arm two-centre RCT using 1:1 randomisation with an embedded qualitative study. SETTING: Two National Health Service (NHS) secondary care hospitals in England and Wales. PARTICIPANTS: Preoperative adult patients identified from total knee replacement waiting lists with disturbed sleep, defined as a score of 0-28 on the Sleep Condition Indicator questionnaire. INTERVENTION: The REST intervention is a preoperative tailored sleep assessment and behavioural intervention package delivered by an Extended Scope Practitioner (ESP), with a follow-up phone call 4 weeks postintervention. All participants received usual care as provided by the participating NHS hospitals. OUTCOME MEASURES: The primary aim was to assess the feasibility of conducting a full trial. Patient-reported outcomes were assessed at baseline, 1-week presurgery, and 3 months postsurgery. Data collected to determine feasibility included the number of eligible patients, recruitment rates and intervention adherence. Qualitative work explored the acceptability of the study processes and intervention delivery through interviews with ESPs and patients. RESULTS: Screening packs were posted to 378 patients and 57 patients were randomised. Of those randomised, 20 had surgery within the study timelines. An appointment was attended by 25/28 (89%) of participants randomised to the intervention. Follow-up outcomes measures were completed by 40/57 (70%) of participants presurgery and 15/57 (26%) postsurgery. Where outcome measures were completed, data completion rates were 80% or higher for outcomes at all time points, apart from the painDETECT: 86% complete at baseline, 72% at presurgery and 67% postsurgery. Interviews indicated that most participants found the study processes and intervention acceptable. CONCLUSIONS: This feasibility study has demonstrated that with some amendments to processes and design, an RCT to evaluate the clinical and cost-effectiveness of the REST intervention is feasible. TRIAL REGISTRATION NUMBER: ISRCTN14233189.

Polypharmacy in atrial fibrillation: A prospective analysis of mortality and ischemic stroke using the Clinical Practice Research Datalink.

Background: Observational studies of polypharmacy and the risk of death or stroke in individuals with atrial fibrillation (AF) have produced inconsistent findings. By using propensity score matching (PSM) and Cox regression, this study aimed to determine whether polypharmacy (five to nine medicines) in the 3 months following AF diagnosis, is associated with an increased risk of death or ischemic stroke, compared to non-polypharmacy (one to four medicines). Methods: A prospective cohort study using data from the Clinical Practice Research Datalink (2006-2019). Data from 23 629 individuals with AF were analyzed. Cox regression models were adjusted for age, gender, morbidities, obesity, alcohol, smoking, and wealth. In the PSM models, cases and controls with near identical health profiles were selected from the study pool. The risk of death and stroke were presented as hazard ratios (HRs) with 95% confidence intervals (CIs). Results: 68.9% (n = 16 271) of the participants had polypharmacy. PSM showed that polypharmacy was associated with an increased risk of death during follow-up (HR 1.32; 95% CI: 1.19-1.47, p < .01), but not ischemic stroke (HR 0.84; 95% CI: 0.69-1.02, p = .08). Conclusion: Polypharmacy was associated with an increased risk of death during follow-up, but not ischemic stroke, in individuals with AF. The effects of comorbidity and other confounding factors were reduced by using PSM. This study focused on the overall medication burden; however, further research is needed to identify which specific medications in polypharmacy regimens increase the risk of mortality in AF. These findings could inform prescribing practices in the future.

Grant funding among underrepresented minority and women urologists at academic institutions.

INTRODUCTION: Grant funding to Urology has decreased over the last decade. Documented lack of gender and race diversity at the faculty level raises concerns for funding disparities. This study sought to characterize disparities based upon race and gender in National Institutes of Health (NIH) funding data to Urologic faculty. METHODS AND MATERIALS: Data from 145 ACGME accredited Urology residency programs incorporating faculty gender and underrepresented in medicine (URiM) status was utilized. The NIH Research Portfolio Online Report Tool was queried between 1985 and 2023 for grants related to current Urology faculty. URiM status, gender, years of practice, academic rank, and Doximity residency program rank were factors in multivariable analysis. RESULTS: A total of 2,131 faculty were included. Three hundred one Urologists received 793 urologic grants for a total of $993,919,052 in funding. By race, grants were awarded to: White 72.9%, Asian 21.8%, Hispanic 3.0%, Black 2.1%. Men received 708 grants (89.3%) worth $917,083,475 total. Women received 85 grants (10.7%) worth $76,835,577 total. Likelihood of being awarded a grant was significantly associated with non-URiM status (p < 0.001) and men (p < 0.0001). On multivariable analysis, Doximity rank (p < 0.001) and academic rank (p < 0.001) were significant predictors of receiving a grant; male gender, URiM status, and years of practice were not. Academic rank was also a significant predictor of number of grants received (p = 0.04) and total funding (p = 0.04); years of practice, Doximity rank, URiM status, and gender were not. CONCLUSIONS: NIH grants were more likely awarded to higher ranked faculty from higher Doximity ranked institutions with no differences based on URiM status or gender.

Children and young people's reported contact with professional services for mental health concerns: a secondary data analysis.

Children and young people's mental health services have been under increasing pressure following COVID-19. Understanding, for which channels help is sought from, will highlight services needing support. This study aims to explore the professional services that parents of children, and young people get help from when they have a concern for the child's/their mental health. Secondary analysis of data is taken from Mental Health of Children and Young People in England Survey, 2017. 7608 reports of mental health-related contact with professional services from parents of 5-16 year-olds and self-reports from young people aged 17-19 were available. Service contact was reported by Diagnostic and Statistical Manual of Mental Disorders (DSM-V) diagnosis, age, gender and ethnicity. Less than two-thirds of children and young people with a DSM-V diagnosis (63.5% (95% CI 58.6-68.1) aged 5-10, and 64.0% (95% CI 59.4-68.4) aged 11-16) reported contact with any professional services. The figure was lower for those aged 17-19; 50.1% (95% CI 42.8-58.2), p = 0.005. Children and young people aged 5-16 from Black (11.7%; 95% CI 2.4-41.4), Asian (55.1%; 95% CI 34.7-73.9) and Mixed (46.0%; 95% CI 32.4-60.3) ethnic groups reported less contact with professional services compared to those from the White group (66.9%; 95% CI 63.5-70.2). Patterns of service access during the three main educational stages aid with understanding service need during childhood. These lower levels of reported service access for young people aged 17-19 with a DSM-V diagnosis and those in ethnic minority groups demand further investigation.

Same sex-attraction as a predictor of suicide and self-harm behaviours: The role of bullying and social support.

Sexual minority youth are at higher risk of self-harming than heterosexual adolescents. Understanding why sexual minority youth are more vulnerable to poor mental health and identifying factors that might buffer against this risk is important for developing targeted interventions. We used the Millennium Cohort Study to investigate whether same-sex attraction at age 14 is associated with suicide attempts and self-harm at age 17. Additionally, we tested whether bullying victimisation might mediate any observed associations, and whether social support might protect against any increased risk. Sexual minority youth were 2.44 times more likely to attempt suicide and 2.59 times more likely to self-harm aged 17. There was no evidence for an association between greater social support and lower levels of self-harm. However, greater social support in sexual minority youth is associated with reduced risk for suicide attempt. Bullying partially mediated the relationship between same-sex attraction and mental health. Greater levels in bullying in sexual minority youth were associated with 1.32 times higher risk for suicide and 1.30 times higher risk for self-harm. Social support was not associated with reduced risk of suicide attempt or self-harm among bullied sexual minority youth. Sexual minority youth in the UK are at higher risk for suicide attempt and self-harm. To address this disparity, health and educational practitioners should understand this heightened risk for poor mental health, and address bullying as one risk factor. Further interventions are needed to assist sexual minority youth beyond social support provision through friends and family.

Co-development and testing of an extended community pharmacy model of service delivery for managing osteoarthritis: protocol for a sequential, multi-methods study (PharmOA).

BACKGROUND: Osteoarthritis is a common, painful and disabling long-term condition. Delivery of high-quality guideline-informed osteoarthritis care that successfully promotes and maintains supported self-management is imperative. However, osteoarthritis care remains inconsistent, including under use of core non-pharmacological approaches of education, exercise and weight loss. Community pharmacies are an accessible healthcare provider. United Kingdom government initiatives are promoting their involvement in a range of long-term conditions, including musculoskeletal conditions. It is not known what an enhanced community pharmacy role for osteoarthritis care should include, what support is needed to deliver such a role, and whether it would be feasible and acceptable to community pharmacy teams. In this (PharmOA) study, we aim to address these gaps, and co-design and test an evidence-based extended community pharmacy model of service delivery for managing osteoarthritis. METHODS: Informed by the Theoretical Domains Framework, Normalisation Process Theory, and the Medical Research Council (MRC) framework for developing complex interventions, we will undertake a multi-methods study involving five phases: 1. Systematic review to summarise currently available evidence on community pharmacy roles in supporting adults with osteoarthritis and other chronic (non-cancer) pain. 2. Cross-sectional surveys and one-to-one qualitative interviews with patients, healthcare professionals and pharmacy staff to explore experiences of current, and potential extended community pharmacy roles, in delivering osteoarthritis care. 3. Stakeholder co-design to: a) agree on the extended role of community pharmacies in osteoarthritis care; b) develop a model of osteoarthritis care within which the extended roles could be delivered (PharmOA model of service delivery); and c) refine existing tools to support community pharmacies to deliver extended osteoarthritis care roles (PharmOA tools). 4. Feasibility study to explore the acceptability and feasibility of the PharmOA model of service delivery and PharmOA tools to community pharmacy teams. 5. Final stakeholder workshop to: a) finalise the PharmOA model of service delivery and PharmOA tools, and b) if applicable, prioritise recommendations for its wider future implementation. DISCUSSION: This novel study paves the way to improving access to and availability of high-quality guideline-informed, consistent care for people with osteoarthritis from within community pharmacies.

Mental health in the COVID-19 pandemic: A longitudinal analysis of the CLoCk cohort study.

BACKGROUND: Little is known about the long-term mental health consequences of the pandemic in children and young people (CYP), despite extremely high levels of exposure to the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) virus and the disruption to schooling and leisure activities due to the resultant restrictions. There are mixed findings from systematic reviews of how the pandemic affected CYP's mental health, which may be due to heterogeneous methods and poor quality studies. Most, but not all, suggest deterioration in mental health but population level studies may obscure the differing experiences of subgroups. The study questions are: (i) are there subgroups of CYP with distinct mental health profiles over the course of the second year of the Coronavirus Disease 2019 (COVID-19) pandemic (between April 2021 and May 2022); and (ii) do vulnerability factors influence CYP's mental health trajectories. METHODS AND FINDINGS: A matched longitudinal cohort study of non-hospitalised test-positive and test-negative 11- to 17-year-old CYP in England were recruited from the UK Health Security Agency having undergone PCR testing for COVID-19. They completed the Strengths and Difficulties Questionnaire (SDQ) at least twice over a 12-month follow-up period. Overall, 8,518 of 17,918 (47.5%) CYP who returned their first SDQ at 3 or 6 months post-testing were included in the analytical sample. Associations between age, sex, ethnicity, socioeconomic status (SES), and an educational health and care plan (EHCP, indicating special educational needs) on SDQ score trajectories were examined separately, after adjusting for PCR test result. Findings from multilevel mixed-effects linear regression model showed that on average mental health symptoms as measured by the total SDQ score increased over time (B = 0.11 (per month), 95% CI = 0.09 to 0.12, p < 0.001) although this increase was small and not clinically significant. However, associations with time varied by age, such that older participants reported greater deterioration in mental health over time (B = 0.12 (per month), 95% CI = 0.10 to 0.14 for 15 to 17y; 0.08 (95% CI = 0.06 to 0.10) for 11 to 14y; pinteraction = 0.002) and by sex, with greater deterioration in girls. Children with an EHCP experienced less deterioration in their mental health compared to those without an EHCP. There was no evidence of differences in rate of change in total SDQ by ethnicity, SES, or physical health. Those with worse prior mental health did not appear to be disproportionately negatively affected over time. There are several limitations of the methodology including relatively low response rates in CLoCk and potential for recall bias. CONCLUSIONS: Overall, there was a statistically but not clinically significant decline in mental health during the pandemic. Sex, age, and EHCP status were important vulnerability factors that were associated with the rate of mental health decline, whereas ethnicity, SES, and prior poor physical health were not. The research highlights individual factors that could identify groups of CYP vulnerable to worsening mental health.

Neuroinflammation is linked to dementia risk in Parkinson's disease.

The development of dementia is a devastating aspect of Parkinson's disease (PD), affecting nearly half of patients within 10 years post-diagnosis. For effective therapies to prevent and slow progression to PD dementia (PDD), the key mechanisms that determine why some people with PD develop early dementia, while others remain cognitively unaffected, need to be understood. Neuroinflammation and tau protein accumulation have been demonstrated in post-mortem PD brains, and in many other neurodegenerative disorders leading to dementia. However, whether these processes mediate dementia risk early on in the PD disease course is not established. To this end, we used PET neuroimaging with 11C-PK11195 to index neuroinflammation and 18F-AV-1451 for misfolded tau in early PD patients, stratified according to dementia risk in our 'Neuroinflammation and Tau Accumulation in Parkinson's Disease Dementia' (NET-PDD) study. The NET-PDD study longitudinally assesses newly-diagnosed PD patients in two subgroups at low and high dementia risk (stratified based on pentagon copying, semantic fluency, MAPT genotype), with comparison to age- and sex-matched controls. Non-displaceable binding potential (BPND) in 43 brain regions (Hammers' parcellation) was compared between groups (pairwise t-tests), and associations between BPND of the tracers tested (linear-mixed-effect models). We hypothesized that people with higher dementia risk have greater inflammation and/or tau accumulation in advance of significant cognitive decline. We found significantly elevated neuroinflammation (11C-PK11195 BPND) in multiple subcortical and restricted cortical regions in the high dementia risk group compared with controls, while in the low-risk group this was limited to two cortical areas. The high dementia risk group also showed significantly greater neuroinflammation than the low-risk group concentrated on subcortical and basal ganglia regions. Neuroinflammation in most of these regions was associated with worse cognitive performance (Addenbrooke's Cognitive Examination-III score). Overall neuroinflammation burden also correlated with serum levels of pro-inflammatory cytokines. In contrast, increases in 18F-AV-1451 (tau) BPND in PD versus controls were restricted to subcortical regions where off-target binding is typically seen, with no relationship to cognition found. Whole-brain 18F-AV-1451 burden correlated with serum phosphorylated tau181 levels. Although there was minimal regional tau accumulation in PD, regional neuroinflammation and tau burden correlated in PD participants, with the strongest association in the high dementia risk group, suggesting possible co-localization of these pathologies. In conclusion, our findings suggest that significant regional neuroinflammation in early PD might underpin higher risk for PDD development, indicating neuroinflammation as a putative early modifiable aetiopathological disease factor to prevent or slow dementia development using immunomodulatory strategies.

Risk of new onset and persistent psychopathology in children with long-term physical health conditions: a population-based cohort study.

Children and young people (CYP) with long-term physical health conditions (pLTCs) have increased risk of psychopathology compared to physically healthier peers. We explored risk factors for new onset and persistent psychiatric disorders in CYP with pLTCs compared to CYP without pLTCs. This 3-year follow-up study involved a UK representative sample of CYP from the British Child and Adolescent Mental Health Surveys (N = 7804). We examined potential baseline predictors of new onset and persistent psychiatric disorders at follow-up in four groups of children based on the presence of any physical and/or any psychiatric conditions at baseline. Psychiatric disorders were assessed using standardised multi-informant diagnostic assessment. Separate multivariable binary logistic regressions were conducted for each group. In CYP with pLTCs, rented housing (aOR = 1.42, 95% CI 1.01 to 1.99), non-traditional family structure (aOR = 2.08, 95% CI 1.42 to 3.05), increased parental distress (aOR = 1.09, 95% CI 1.04 to 1.14), and greater peer relationship difficulties (aOR = 1.29, 95% CI 1.19 to 1.39) predicted future psychiatric disorder. Only peer relationship difficulties predicted persistent disorder (aOR = 1.27, 95% CI 1.17 to 1.38) in this group. A greater number of factors predicted the onset of psychiatric disorder in CYP with pLTCs compared to physically healthier peers and similarly, a higher number of factors predicted persistent disorder in CYP without pLTCs. CYP with pLTCs might comprise a group with different vulnerabilities, some of which are potentially tractable and may be useful indicators of patients who require preventable or management interventions.

Pre-existing musculoskeletal pain and its association with mortality in newly diagnosed co-morbid conditions: an electronic health record cohort study.

Objective: Musculoskeletal pain is a common risk factor for co-morbid conditions and might increase the risk of poor outcomes. The objective was to determine whether patients with pre-existing musculoskeletal pain have an increased risk for mortality following a new diagnosis of a co-morbid condition. Methods: Patients aged ≥45 years with a new diagnosis of acute coronary syndrome (ACS), stroke, cancer, dementia or pneumonia recorded in a UK electronic primary care database linked to hospital and mortality records were examined. The association of mortality with musculoskeletal pain (inflammatory conditions, OA and regional pain) was determined. Results: The sample size varied from 128 649 (stroke) to 406 289 (cancer) by cohort, with 22-31% having pre-existing musculoskeletal conditions. In the ACS cohort, there was a higher rate of mortality for all musculoskeletal types. There were also higher unadjusted mortality rates in patients with inflammatory arthritis compared with those without musculoskeletal pain in the stroke, cancer and dementia cohorts and for patients with OA in the stroke and cancer cohorts. After adjustment for the number of prescribed medications and age, the increased risk of mortality remained only for patients with inflammatory arthritis in the ACS cohort (adjusted hazard ratio = 1.07; 95% CI 1.03, 1.10). Conclusion: Older adults with inflammatory arthritis and OA have increased risk of mortality when they develop a new condition, which seems to be related to the prescription of multiple medicines. Pre-existing musculoskeletal pain is an indicator of a complex patient who is at risk of poorer outcomes at the onset of new illnesses.

A novel stabilization mechanism accommodating genome length variation in evolutionarily related viral capsids.

Tailed bacteriophages are one of the most numerous and diverse group of viruses. They store their genome at quasi-crystalline densities in capsids built from multiple copies of proteins adopting the HK97-fold. The high density of the genome exerts an internal pressure, requiring a maturation process that reinforces their capsids. However, it is unclear how capsid stabilization strategies have adapted to accommodate the evolution of larger genomes in this virus group. Here we characterized a novel capsid reinforcement mechanism in two evolutionary-related actinobacteriophages that modifies the length of a stabilization protein to accommodate a larger genome while maintaining the same capsid size. We used cryo-EM to reveal that capsids contained split hexamers of HK97-fold proteins with a stabilization protein in the chasm. The observation of split hexamers in mature capsids was unprecedented, so we rationalized this result mathematically, discovering that icosahedral capsids can be formed by all split or skewed hexamers as long as their T-number is not a multiple of three. Our results suggest that analogous stabilization mechanisms can be present in other icosahedral capsids, and they provide a strategy for engineering capsids accommodating larger DNA cargoes as gene delivery systems.