Open AccessPOLLAR: Impact of air POLLution on Asthma and Rhinitis; a European Institute of Innovation and Technology Health (EIT Health) project
Author(s) -
Bousquet Jean,
Anto Josep M.,
AnnesiMaesano Isabella,
Dedeu Toni,
Dupas Eve,
Pépin JeanLouis,
Eyindanga Landry Stephane Zeng,
Arnavielhe Sylvie,
Ayache Julia,
Basagana Xavier,
Benveniste Samuel,
Venturos Nuria Calves,
Chan Hing Kin,
Cheraitia Mehdi,
Dauvilliers Yves,
GarciaAymerich Judith,
JullianDesayes Ingrid,
Dinesh Chitra,
Laune Daniel,
Dac Jade Lu,
Nujurally Ismael,
Pau Giovanni,
Picard Robert,
Rodo Xavier,
Tamisier Renaud,
Bewick Michael,
Billo Nils E.,
Czarlewski Wienczyslawa,
Fonseca Joao,
Klimek Ludger,
Pfaar Oliver,
Bourez JeanMarc
Publication year - 2018
Publication title -
clinical and translational allergy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.979
H-Index - 37
ISSN - 2045-7022
DOI - 10.1186/s13601-018-0221-z
Subject(s) - medicine , asthma , air pollution , environmental health , allergy , pollution , air quality index , health care , economic growth , immunology , meteorology , geography , ecology , chemistry , organic chemistry , economics , biology
Allergic rhinitis (AR) is impacted by allergens and air pollution but interactions between air pollution, sleep and allergic diseases are insufficiently understood. POLLAR (Impact of air POLLution on sleep, Asthma and Rhinitis) is a project of the European Institute of Innovation and Technology (EIT Health). It will use a freely‐existing application for AR monitoring that has been tested in 23 countries (the Allergy Diary , iOS and Android, 17,000 users, TLR8). The Allergy Diary will be combined with a new tool allowing queries on allergen, pollen (TLR2), sleep quality and disorders (TRL2) as well as existing longitudinal and geolocalized pollution data. Machine learning will be used to assess the relationship between air pollution, sleep and AR comparing polluted and non‐polluted areas in 6 EU countries. Data generated in 2018 will be confirmed in 2019 and extended by the individual prospective assessment of pollution (portable sensor, TLR7) in AR. Sleep apnea patients will be used as a demonstrator of sleep disorder that can be modulated in terms of symptoms and severity by air pollution and AR. The geographic information system GIS will map the results. Consequences on quality of life (EQ‐5D), asthma, school, work and sleep will be monitored and disseminated towards the population. The impacts of POLLAR will be (1) to propose novel care pathways integrating pollution, sleep and patients’ literacy, (2) to study sleep consequences of pollution and its impact on frequent chronic diseases, (3) to improve work productivity, (4) to propose the basis for a sentinel network at the EU level for pollution and allergy, (5) to assess the societal implications of the interaction. MASK paper N°32.