Childhood asthma acute primary care visits, traffic, and traffic-related pollutants.

UNLABELLED: Previous studies have found associations between traffic-related air pollution and asthma exacerbation in children, where exacerbations were measured according to emergency department visits and hospital admissions. Fewer studies have been undertaken that look at asthma exacerbations in a less severe primary care setting. Therefore, the authors sought to examine the associations between childhood asthma exacerbations, measured as acute visits to a primary care setting, and vehicular-traffic measures in a population of children aged 18 and under in the metropolitan Atlanta area. Statistical tests for differences of mean monthly visits for members with traffic measures above the median compared with below the median and for the upper quartile compared with the lower quartile were conducted. We also compared the odds of having one or more visits in a month for those who lived closer to a major roadway were compared with those who lived farther (greater than 300 m) from a major roadway. Poisson general linear modeling was used to determine associations between daily levels of acute visits for childhood asthma and traffic-related pollutants (zinc, EC [elemental carbon], and PM10 and PM2.5 [particulate matter with an aerodynamic diameter of < or = 10 and < or = 2.5 microm, respectively]) for different levels of traffic and distance measures. This analysis found that both larger traffic volumes and smaller distances to the nearest major roadway were positively and significantly associated with larger numbers of childhood asthma visits, when compared with less traffic and larger distances. Our findings point to motor vehicle traffic as an important contributor to childhood asthma exacerbations. IMPLICATIONS: Previous studies have found associations between traffic-related air pollution and asthma exacerbation in children. However, these studies were mainly conducted in emergency department or hospital admission settings; little is known regarding less acute health effects. This analysis of the association between vehicular traffic measures and childhood asthma in a primary care setting suggests that motor vehicle traffic is a contributor to less acute asthma episodes in children. The present analysis of traffic-related air pollutants and childhood asthma were less conclusive, likely due to methods limitations outlined in the paper. The implication is that further evidence of adverse respiratory health effects in children due to motor vehicle traffic can be found in a primary care setting and similar studies should be considered.

Restless legs syndrome - the under-recognised non-motor burden: a questionnaire-based cohort study.

Objectives: Non-motor symptoms (NMS) range from neuropsychiatric to pain and are an important but underexplored feature of restless legs syndrome (RLS). There are currently no tools available which enable the holistic assessment of NMS in RLS in clinical practice. The primary aim of this study was to systematically assess NMS prevalence and burden in patients with RLS using the NMS Questionnaire (NMSQuest) validated for Parkinson's disease. Methods: Patients with idiopathic RLS according to the criteria of the international RLS study group (IRLSSG) were included. Patients underwent a physical examination and clinical interview as well as completed the NMS Questionnaire and the international restless legs syndrome study group (IRLSSG) rating scale. Results: Seventy-four patients with primary RLS were included (mean age 64.6 ± 14.4 years, 62.2% female, mean disease duration 23.5 ± 17.8 years, mean Levodopa equivalent daily dose 63.3 ± 67.4 mg). On average patients reported an IRLSSG rating scale score of 24.8 ± 8.2 (maximum 40) and NMSQuest score of 9.9 ± 5.0 (maximum 30). Patients reported a minimum of two NMS with the majority (39.2%) reporting a moderate NMS burden, followed by severe (28.4%) and very severe (17.6%) burden. The most frequent NMS were insomnia (89.2%) followed by nocturia (70.3%), feeling sad (59.5%), forgetfulness (54.1%), urgency (47.3%), feeling anxious (43.2%), unexplained pain (41.9%), difficulty concentrating (40.5%) and dizziness (40.5%). There were no significant differences in NMSQuest total scores according to disease duration and gender (p = 0.739, p = 0.849). Conclusion: In conclusion, this study is one of the first to address NMS in RLS systematically and the data underlines the need to holistically assess NMS in RLS in order to deliver true value-based healthcare for these patients.

Distribution and impact on quality of life of the pain modalities assessed by the King's Parkinson's disease pain scale.

In Parkinson's disease, pain is a prevalent and complex symptom of diverse origin. King's Parkinson's disease pain scale, assesses different pain syndromes, thus allowing exploration of its differential prevalence and influence on the health-related quality of life of patients. Post hoc study 178 patients and 83 matched controls participating in the King's Parkinson's disease pain scale validation study were used. For determining the respective distribution, King's Parkinson's disease pain scale items and domains scores = 0 meant absence and ≥1 presence of the symptom. The regular scores were used for the other analyses. Health-related quality of lifewas evaluated with EQ-5D-3L and PDQ-8 questionnaires. Parkinson's disease patients experienced more pain modalities than controls. In patients, Pain around joints (King's Parkinson's disease pain scale item 1) and Pain while turning in bed (item 8) were the most prevalent types of pain, whereas Burning mouth syndrome (item 11) and Pain due to grinding teeth (item 10) showed the lowest frequency. The total number of experienced pain modalities closely correlated with the PDQ-8 index, but not with other variables. For all pain types except Pain around joints (item 1) and pain related to Periodic leg movements/RLS (item 7), patients with pain had significantly worse health-related quality of life. The influence of pain, as a whole, on the health-related quality of life was not remarkable after adjustment by other variables. When the particular types of pain were considered, adjusted by sex, age, and Parkinson's disease duration, pain determinants were different for EQ-5D-3L and PDQ-8. King's Parkinson's disease pain scale allows exploring the distribution of the diverse syndromic pain occurring in Parkinson's disease and its association with health-related quality of life.

Metabolomic and Gene Expression Profiles Exhibit Modular Genetic and Dietary Structure Linking Metabolic Syndrome Phenotypes in Drosophila.

Genetic and environmental factors influence complex disease in humans, such as metabolic syndrome, and Drosophila melanogaster serves as an excellent model in which to test these factors experimentally. Here we explore the modularity of endophenotypes with an in-depth reanalysis of a previous study by Reed et al. (2014), where we raised 20 wild-type genetic lines of Drosophila larvae on four diets and measured gross phenotypes of body weight, total sugar, and total triglycerides, as well as the endophenotypes of metabolomic and whole-genome expression profiles. We then perform new gene expression experiments to test for conservation of phenotype-expression correlations across different diets and populations. We find that transcript levels correlated with gross phenotypes were enriched for puparial adhesion, metamorphosis, and central energy metabolism functions. The specific metabolites L-DOPA and N-arachidonoyl dopamine make physiological links between the gross phenotypes across diets, whereas leucine and isoleucine thus exhibit genotype-by-diet interactions. Between diets, we find low conservation of the endophenotypes that correlate with the gross phenotypes. Through the follow-up expression study, we found that transcript-trait correlations are well conserved across populations raised on a familiar diet, but on a novel diet, the transcript-trait correlations are no longer conserved. Thus, physiological canalization of metabolic phenotypes breaks down in a novel environment exposing cryptic variation. We cannot predict the physiological basis of disease in a perturbing environment from profiles observed in the ancestral environment. This study demonstrates that variation for disease traits within a population is acquired through a multitude of physiological mechanisms, some of which transcend genetic and environmental influences, and others that are specific to an individual's genetic and environmental context.