Comparison of Microbiomes from Different Niches of Upper and Lower Airways in Children and Adolescents with Cystic Fibrosis

Changes in the airway microbiome may be important in the pathophysiology of chronic lung disease in patients with cystic fibrosis. However, little is known about the microbiome in early cystic fibrosis lung disease and the relationship between the microbiomes from different niches in the upper and lower airways. Therefore, in this cross-sectional study, we examined the relationship between the microbiome in the upper (nose and throat) and lower (sputum) airways from children with cystic fibrosis using next generation sequencing. Our results demonstrate a significant difference in both α and β-diversity between the nose and the two other sampling sites. The nasal microbiome was characterized by a polymicrobial community while the throat and sputum communities were less diverse and dominated by a few operational taxonomic units. Moreover, sputum and throat microbiomes were closely related especially in patients with clinically stable lung disease. There was a high inter-individual variability in sputum samples primarily due to a decrease in evenness linked to increased abundance of potential respiratory pathogens such as Pseudomonas aeruginosa. Patients with chronic Pseudomonas aeruginosa infection exhibited a less diverse sputum microbiome. A high concordance was found between pediatric and adult sputum microbiomes except that Burkholderia was only observed in the adult cohort. These results indicate that an adult-like lower airways microbiome is established early in life and that throat swabs may be a good surrogate in clinically stable children with cystic fibrosis without chronic Pseudomonas aeruginosa infection in whom sputum sampling is often not feasible.

Video clip: Understanding ‘Wellbeing’ in the Lives of Adolescents with Disabilities

This short (2 minute) digital media clip was designed in consultation with an advisory group of young people with disabilities, as a means of providing information about a research project to potential participants. This format was used to overcome barriers whereby written information may not have been appropriate to the young person’s needs. It also allowed the researchers to introduce themselves to the young people and become familiar to them before face-to-face meeting.

Psychotropic prescribing patterns among adolescents in Northern Ireland presenting with psychotic symptoms during a 5-year period

Objective: To report new prescriptions of psychotropic medications among adolescents presenting with new onset psychotic symptoms during a 5-year period.
Methods: The Northern Ireland Early Onset Psychosis Study is a naturalistic longitudinal observational study of patients with an early onset first psychotic episode. All patients aged <18 years presenting to specialist mental health services across Northern Ireland with new onset psychotic symptoms between 2001 and 2006 were recruited (n = 113). Clinical case notes were analysed retrospectively for details of subsequent treatment with psychotropic medications.
Results: A total of 100 patients (88.5%) were prescribed some form of psychotropic medication. Over three-quarters of patients received an antipsychotic as their first medication. Risperidone (45.8%), olanzapine (24.0%) and chlorpromazine (12.5%) were the most commonly prescribed first-line antipsychotic medications. Of a total of 160 antipsychotic prescriptions,81 (50.6%) were off-label. Prescriptions were most likely to have been deemed off-label owing to medications not being licensed in under-18s (71.6% of off-label prescriptions) but other reasons were medications being used outsidelicensed age ranges (23.5%) and outside licensed indications (4.9%).
Conclusions: This is the first study examining psychotropic prescribing patterns in a complete sample of all children and adolescents presenting with early onset psychotic episodes in a single geographical area. The observation of risperidoneas the most commonly prescribed antipsychotic was in keeping with previous studies in child and adolescent populations. Rates of off-label prescribing were lower than previously observed although our study was the first to investigateoff-label prescribing solely in children and adolescents presenting with psychotic symptoms.

Prescribing for children and adolescents in mental health

The level of psychiatric prescribing in children and adolescents is increasing; however, rates of adherence in this group of patients range from only 34–54%. The possible consequences of untreated psychiatric problems include longer duration of the illness, increased severity of symptoms, higher relapse rates, greater risk of suicidal behaviour, academic difficulties and increased family conflict. Prescribers are often faced with difficulty if the parent or carer is not in agreement with the use of medication. This parental disagreement has implications for medication concordance and the relationship between clinicians, young people and their families. For prescribers, understanding parental and young people's attitudes towards medication and their experiences of mental health services is central to patient-centred care.

Adherence to treatment in children and adolescents with cystic fibrosis: a cross-sectional, multi-method study investigating the influence of beliefs about treatment and parental depressive symptoms

BACKGROUND: Adherence to treatment is often reported to be low in children with cystic fibrosis. Adherence in cystic fibrosis is an important research area and more research is needed to better understand family barriers to adherence in order for clinicians to provide appropriate intervention. The aim of this study was to evaluate adherence to enzyme supplements, vitamins and chest physiotherapy in children with cystic fibrosis and to determine if any modifiable risk factors are associated with adherence.

METHODS: A sample of 100 children (≤18 years) with cystic fibrosis (44 male; median [range] 10.1 [0.2-18.6] years) and their parents were recruited to the study from the Northern Ireland Paediatric Cystic Fibrosis Centre. Adherence to enzyme supplements, vitamins and chest physiotherapy was assessed using a multi-method approach including; Medication Adherence Report Scale, pharmacy prescription refill data and general practitioner prescription issue data. Beliefs about treatments were assessed using refined versions of the Beliefs about Medicines Questionnaire-specific. Parental depressive symptoms were assessed using the Center for Epidemiologic Studies Depression Scale.

RESULTS: Using the multi-method approach 72% of children were classified as low-adherers to enzyme supplements, 59% low-adherers to vitamins and 49% low-adherers to chest physiotherapy. Variations in adherence were observed between measurement methods, treatments and respondents. Parental necessity beliefs and child age were significant independent predictors of child adherence to enzyme supplements and chest physiotherapy, but parental depressive symptoms were not found to be predictive of adherence.

CONCLUSIONS: Child age and parental beliefs about treatments should be taken into account by clinicians when addressing adherence at routine clinic appointments. Low adherence is more likely to occur in older children, whereas, better adherence to cystic fibrosis therapies is more likely in children whose parents strongly believe the treatments are necessary. The necessity of treatments should be reinforced regularly to both parents and children.

Enhancing design space exploration by extending CPU/GPU specifications onto FPGAs

The design cycle for complex special-purpose computing systems is extremely costly and time-consuming. It involves a multiparametric design space exploration for optimization, followed by design verification. Designers of special purpose VLSI implementations often need to explore parameters, such as optimal bitwidth and data representation, through time-consuming Monte Carlo simulations. A prominent example of this simulation-based exploration process is the design of decoders for error correcting systems, such as the Low-Density Parity-Check (LDPC) codes adopted by modern communication standards, which involves thousands of Monte Carlo runs for each design point. Currently, high-performance computing offers a wide set of acceleration options that range from multicore CPUs to Graphics Processing Units (GPUs) and Field Programmable Gate Arrays (FPGAs). The exploitation of diverse target architectures is typically associated with developing multiple code versions, often using distinct programming paradigms. In this context, we evaluate the concept of retargeting a single OpenCL program to multiple platforms, thereby significantly reducing design time. A single OpenCL-based parallel kernel is used without modifications or code tuning on multicore CPUs, GPUs, and FPGAs. We use SOpenCL (Silicon to OpenCL), a tool that automatically converts OpenCL kernels to RTL in order to introduce FPGAs as a potential platform to efficiently execute simulations coded in OpenCL. We use LDPC decoding simulations as a case study. Experimental results were obtained by testing a variety of regular and irregular LDPC codes that range from short/medium (e.g., 8,000 bit) to long length (e.g., 64,800 bit) DVB-S2 codes. We observe that, depending on the design parameters to be simulated, on the dimension and phase of the design, the GPU or FPGA may suit different purposes more conveniently, thus providing different acceleration factors over conventional multicore CPUs.

A Qualitative Exploration of Perceived Key Knowledge and Skills in End-of-Life Care in Dementia Patients among Medical, Nursing, and Pharmacy Students

Background: The steady increase in the number of people living and dying with dementia, coupled with the recent focus on quality of care, has highlighted the importance of dementia training for health care professionals. This exploratory study aimed to discover which skills health care students felt were important in providing quality end-of-life care to dementia patients.

Methods: Ninety-four medicine, nursing, and pharmacy students participated in a larger study using open-ended and closed questions to explore attitudes related to caring for dementia patients at the end of life. This study looks at the student responses to an open-ended question regarding the skills and knowledge they believe are needed to provide end-of-life care to dementia patients. Individual responses were reviewed by the researchers, coded into key issues, and tabulated for frequency of occurrences and group differences.

Results: Several common issues emerged: knowledge, patience, empathy, understanding, family involvement, compassion, medication knowledge, respect/patient autonomy, communication, quality of life, and patient education. Significant differences were observed among the participant groups on the following issues: Patience and understanding (pharmacy students mentioned these issues less frequently than medical and nursing students), compassion (medical students mentioned this issue more frequently than pharmacy students), and medication knowledge (pharmacy students mentioned this issue more frequently than medical and nursing students).

Conclusions: Different health care disciplines (in-training) value different skill sets for the provision of dementia care at the end-of-life. As health care education for dementia patients at the end of life is expanded, it will be important to understand which skills both patients and health care students value.

Retrieving Regions of Interest for User Exploration

We consider an application scenario where points of interest (PoIs) each have a web presence and where a web user wants to iden- tify a region that contains relevant PoIs that are relevant to a set of keywords, e.g., in preparation for deciding where to go to conve- niently explore the PoIs. Motivated by this, we propose the length- constrained maximum-sum region (LCMSR) query that returns a spatial-network region that is located within a general region of in- terest, that does not exceed a given size constraint, and that best matches query keywords. Such a query maximizes the total weight of the PoIs in it w.r.t. the query keywords. We show that it is NP- hard to answer this query. We develop an approximation algorithm with a (5 + ǫ) approximation ratio utilizing a technique that scales node weights into integers. We also propose a more efficient heuris- tic algorithm and a greedy algorithm. Empirical studies on real data offer detailed insight into the accuracy of the proposed algorithms and show that the proposed algorithms are capable of computingresults efficiently and effectively.

Young people exiting homelessness: An exploration of process, meaning and definition

In the past decade in particular, research attention has shifted from an almost exclusive focus on routes or pathways into homelessness towards the investigation of exits from homelessness. As well as demonstrating the multiple paths possible for young people who become homeless, recent research, and longitudinal studies in particular, has contributed to a more nuanced understanding of the complexity of the homeless pathways of young people. Nonetheless, knowledge and understanding of the nature of homeless exits, and of the mechanisms that facilitate the transition out of homelessness, is far from complete. This paper explores the processes surrounding the exit routes taken by young people out of homelessness and the meanings attached by them to these housing transitions based on selected findings from an ongoing qualitative longitudinal study of homeless youth in Dublin, Ireland. More broadly, the paper considers the utility of distinguishing between the types of routes that young people take out of homelessness, with particular attention to the notions of ‘independent’ and ‘dependent’ exits. The paper aims to further the discussion and debate on the conceptualisation of homeless exits and also discusses a number of policy implications arising from the study's findings.