Interactions Between Air Pollution and Pollen Season for Rhinitis Using Mobile Technology: A MASK-POLLAR Study.

BACKGROUND: Several studies have suggested an interaction between air pollution and pollen exposure with an impact on allergy symptoms. However, large studies with real-life data are not available. OBJECTIVE: To investigate associations between major air pollutants (ozone and particulate matter with a diameter of <2.5 µm) and allergic rhinitis (AR) control during grass and birch pollen seasons as well as outside the pollen season. METHODS: The daily impact of allergic symptoms was recorded by the Allergy Diary (Mobile Airways Sentinel NetworK [MASK-air]) app (a validated mHealth tool for rhinitis management) using visual analog scales (VASs) in Northern and Central Europe users in 2017 and 2018. Uncontrolled AR was defined using symptoms and medications. Pollutant levels were assessed using the System for Integrated modeLing of Atmospheric coMposition database. Pollen seasons were assessed by regions using Google Trends. Generalized estimating equation models were used to account for repeated measures per user, adjusting for sex, age, treatment, and country. Analyses were stratified by pollen seasons to investigate interactions between air pollutants and pollen exposure. RESULTS: A total of 3323 geolocated individuals (36,440 VAS-days) were studied. Associations between uncontrolled rhinitis and pollutants were stronger during the grass pollen season. Days with uncontrolled AR increased by 25% for an interquartile range increase in ozone levels during the grass pollen season (odds ratio of 1.25 [95% CI, 1.11-1.41] in 2017 and of 1.14 [95% CI, 1.04-1.25] in 2018). A similar trend was found for particulate matter with a diameter of less than 2.5 µm, especially in 2017. CONCLUSIONS: These results suggest that the relationship between uncontrolled AR and air pollution is modified by the presence of grass pollens. This study confirms the impact of pollutants in the grass pollen season but not in the birch pollen season.

Longitudinal study of diet quality and change in asthma symptoms in adults, according to smoking status.

It has been hypothesised that increased asthma prevalence in westernised countries is associated with changes in lifestyle factors, including a poorer diet. However, little is known regarding the association between diet quality and asthma. In the diet-asthma association, the role of BMI as a potential mediator needs clarification; moreover, potential effect modification by non-diet sources of oxidants, such as smoking, merits investigation. We investigated the association between diet quality and change in asthma symptoms, as well as assessed effect modification by smoking, while accounting for BMI as a potential mediator. Using data from the French prospective Epidemiological study on the Genetics and Environment of Asthma study, we assessed diet quality using the Alternate Healthy Eating Index 2010 (AHEI-2010) at baseline and change in asthma symptoms (stable (reference), worsening, improved; mean follow-up time: 7 years). Mediation analysis was used to disentangle total and direct effects and the indirect effect mediated by BMI. The analyses included 969 adults (mean age 43 years; 49 % men; 42 % ever asthma). We observed a significant interaction between smoking and AHEI-2010 on change in asthma symptoms (P for interaction=0·04). Among never smokers (n 499), we observed a positive total effect (multivariable OR 1·39; 95 % CI 1·07, 1·80) and a positive direct effect (OR 1·41; 95 % CI 1·09, 1·80) of the AHEI-2010 (per ten-point increment) on improved symptoms. No indirect effect mediated through BMI was observed (OR 0·99; 95 % CI 0·91, 1·07). Among former and current smokers, all effects were statistically non-significant. Better diet quality was associated with improved asthma symptoms over time in never smokers, independently of BMI.

Proposals for enhanced health risk assessment and stratification in an integrated care scenario.

OBJECTIVES: Population-based health risk assessment and stratification are considered highly relevant for large-scale implementation of integrated care by facilitating services design and case identification. The principal objective of the study was to analyse five health-risk assessment strategies and health indicators used in the five regions participating in the Advancing Care Coordination and Telehealth Deployment (ACT) programme (http://www.act-programme.eu). The second purpose was to elaborate on strategies toward enhanced health risk predictive modelling in the clinical scenario. SETTINGS: The five ACT regions: Scotland (UK), Basque Country (ES), Catalonia (ES), Lombardy (I) and Groningen (NL). PARTICIPANTS: Responsible teams for regional data management in the five ACT regions. PRIMARY AND SECONDARY OUTCOME MEASURES: We characterised and compared risk assessment strategies among ACT regions by analysing operational health risk predictive modelling tools for population-based stratification, as well as available health indicators at regional level. The analysis of the risk assessment tool deployed in Catalonia in 2015 (GMAs, Adjusted Morbidity Groups) was used as a basis to propose how population-based analytics could contribute to clinical risk prediction. RESULTS: There was consensus on the need for a population health approach to generate health risk predictive modelling. However, this strategy was fully in place only in two ACT regions: Basque Country and Catalonia. We found marked differences among regions in health risk predictive modelling tools and health indicators, and identified key factors constraining their comparability. The research proposes means to overcome current limitations and the use of population-based health risk prediction for enhanced clinical risk assessment. CONCLUSIONS: The results indicate the need for further efforts to improve both comparability and flexibility of current population-based health risk predictive modelling approaches. Applicability and impact of the proposals for enhanced clinical risk assessment require prospective evaluation.

Integrated care services: lessons learned from the deployment of the NEXES project.

OBJECTIVES: To identify barriers to deployment of four articulated Integrated Care Services supported by Information Technologies in three European sites. The four services covered the entire spectrum of severity of illness. The project targeted chronic patients with obstructive pulmonary disease, cardiac failure and/or type II diabetes mellitus. SETTING: One health care sector in Spain (Barcelona) (n = 11.382); six municipalities in Norway (Trondheim) (n = 450); and one hospital in Greece (Athens) (n = 388). METHOD: The four services were: (i) Home-based long-term maintenance of rehabilitation effects (n = 337); (ii) Enhanced Care for frail patients, n = 1340); (iii) Home Hospitalization and Early Discharge (n = 2404); and Support for remote diagnosis (forced spirometry testing) in primary care (Support) (n = 8139). Both randomized controlled trials and pragmatic study designs were combined. Two technological approaches were compared. The Model for Assessment of Telemedicine applications was adopted. RESULTS: The project demonstrated: (i) Sustainability of training effects over time in chronic patients with obstructive pulmonary disease (p < 0.01); (ii) Enhanced care and fewer hospitalizations in chronic respiratory patients (p < 0.05); (iii) Reduced in-hospital days for all types of patients (p < 0.001) in Home Hospitalization/Early Discharge; and (iv) Increased quality of testing (p < 0.01) for patients with respiratory symptoms in Support, with marked differences among sites. CONCLUSIONS: The four integrated care services showed high potential to enhance health outcomes with cost-containment. Change management, technological approach and legal issues were major factors modulating the success of the deployment. The project generated a business plan to foster service sustainability and health innovation. Deployment strategies require site-specific adaptations.

Assessment of health status and program performance in patients on long-term oxygen therapy.

BACKGROUND: Despite well established clinical guidelines, performance of long-term oxygen therapy (LTOT) programs shows marked variability among territories. The current study assessed the LTOT program and the health status of patients on LTOT prior to the deployment of community-based integrated care in an urban health district of Barcelona (Spain). AIMS: To assess: i) the LTOT program and health status of the patients on LTOT in the health district; ii) their frailty profile; and, iii) the requirements for effective deployment of integrated care services for these patients. METHODS: Cross-sectional observational study design including all patients (n = 406) on LTOT living in the health district. Health status, frailty, arterial blood gases, forced spirometry and hand-grip muscle strength were measured. Network analysis of frailty was carried out. RESULTS: Adequacy of LTOT prescription (n = 362): 47% and 31% of the patients had PaO2 ≤ 60 mmHg and ≤55 mmHg, respectively. Adherence to LTOT: 31% of all patients used LTOT ≥15 h/d; this figure increased to 67% in those with PaO2≤60 mmHg. Assessment of frailty: Overall, LTOT patients presented moderate to severe frailty. Care complexity was observed in 42% of the patients. CONCLUSIONS: Adequacy and adherence to LTOT was poor and many patients were frail and complex. The outcomes of the network analysis may contribute to enhance assessment of frailty in LTOT patients. These observations suggest that an integrated care strategy has the potential to improve the health outcomes of these patients.

Association between Ω3 and Ω6 fatty acid intakes and serum inflammatory markers in COPD.

Dietary intake of polyunsaturated fatty acids, including omega-3 and omega-6, could modulate chronic obstructive pulmonary disease (COPD) persistent inflammation. We aimed to assess the relationship between dietary intake of omega-3 and omega-6 fatty acids and serum inflammatory markers in COPD. A total of 250 clinically stable COPD patients were included. Dietary data of the last 2 years were assessed using a validated food frequency questionnaire (122 items), which provided levels of three omega-3 fatty acids: docosahexaenoic acid, eicosapentaenoic acid and α-linolenic acid (ALA); and two omega-6 fatty acids: linoleic acid and arachidonic acid (AA). Inflammatory markers [C-reactive protein (CRP), interleukin (IL)-6, IL-8 and tumor necrosis factor alpha (TNFα)] were measured in serum. Fatty acids and inflammatory markers were dichotomised according to their median values, and their association was assessed using multivariate logistic regression. Higher intake of ALA (an anti-inflammatory omega-3 fatty acid) was associated with lower TNFα concentrations [adjusted odds ratio (OR)=0.46; P=.049]. Higher AA intake (a proinflammatory omega-6 fatty acid) was related to higher IL-6 (OR=1.96; P=.034) and CRP (OR=1.95; P=.039) concentrations. Therefore, this study provides the first evidence of an association between dietary intake of omega-3 and omega-6 fatty acids and serum inflammatory markers in COPD patients.

Effects of an integrated care intervention on risk factors of COPD readmission.

UNLABELLED: An integrated care intervention including education, coordination among levels of care, and improved accessibility, reduced hospital readmissions in chronic obstructive pulmonary disease (COPD) after 1 year. This study analyses the effectiveness of this intervention in terms of clinical and functional status, quality of life, lifestyle, and self-management, under the hypothesis that changes in these factors could explain the observed reduction in readmissions. A total of 113 exacerbated COPD patients (14% female, mean (SD) age 73(8) years, FEV(1) 1.2(0.5) l) were recruited after hospital discharge in Barcelona, Spain, and randomly assigned (1:2) to integrated care (IC) (n=44) or usual care (UC) (n=69). The intervention consisted of an individually tailored care plan at discharge shared with the primary care team and access to a specialized case manager nurse through a web-based call centre. After 1 year of intervention, subjects in the intervention group improved body mass index by 1.34 kg/m(2). Additionally, they scored better in self-management items: COPD knowledge 81% vs. 44%, exacerbation identification 85% vs. 22%, exacerbation early treatment 90% vs. 66%, inhaler adherence 71 vs. 37%, and inhaler correctness 86 vs. 24%. There were no differences in the evolution of dyspnea, lung function, quality of life scores, lifestyle factors, or medical treatment. CONCLUSIONS: This IC trial improved disease knowledge, and treatment adherence, after 1 year of intervention, suggesting that these factors may play a role in the prevention of severe COPD exacerbations triggering hospital admissions.