Climate Change and Air Contamination: Artificial Intelligence Applied on the Correlation Between Air Pollutants and Non-communicable Respiratory Diseases in Europe (ClimAIr)
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 1,906
- 主要终点
- Mean Symptom Score of Allergic Rhinitis Patients by Environmental Exposure
研究概览
简要总结
The ClimAIr project will expand the evidence-based understanding of climate change, air pollution, and non-communicable respiratory diseases by using Artificial Intelligence (AI) tools. It will gather data on greenhouse gases levels and disaster risks, information on serious air pollutants and respiratory diseases' prevalence. The AI powered tools will be employed to generate better intervention methods and improve public health outcomes.
Federated Learning (FL) will be used to develop AI models to protect patients' privacy. By raising public awareness and delivering the ClimAIr tool - specifically designed to health workers, urban planners and policy makers - the project aims to influence policy decisions, promote healthier environments, and reduce respiratory diseases in Europe, which will be tested and validated the ClimAIr tool in specific municipalities that are part of the project. ClimAIr draws on a consortium of 21 partners from 15 European countries, including carefully selected health centres across Europe - in Spain, Luxembourg, Ukraine, Italy, France, Germany, Greece, Romania and Poland - focused on respiratory diseases, which will provide disease data and explore metabolic routes of the studied contaminants/diseases. ClimAIr is composed of an interdisciplinary team formed by research centres, ethical AI and modelling experts, SSH specialists, municipal governance, and a Communication & Dissemination (C&D) expert team dedicated to achieving and spread the results of the project.
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 时间视角
- Other
入排标准
- 年龄范围
- 12 Years 至 —（Child, Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Patients with health insurance based in Malaga, Milan, Luxembourg, Thessalonikki, Lodz, Berlin, Toulousse, Chervnivtsi and Brasov (the places where environmental/climate information will be obtained from, only one recruitment place for partner).
- •3-year history of chronic rhinitis symptoms during the corresponding pollen season, while residing in the same household AND attending the same school/college or holding the same job position.
- •Positive SPT and serum allergen-specific IgE >0.35 kUA/L. The pollen species driving the nasal symptoms will be Olea europaea, Phleum pratense or Betula pendula.
- •Patients can be sensitized to other aeroallergens if the nasal symptoms occur exclusively or aggravate unequivocally during the pollen season of the three allergens of interest.
排除标准
- •Lack of reliable information in e-health records, allergen immunotherapy (any allergen) during the previous 5 years, systemic immunosuppressants or biologicals in the previous six months, chronic rhinosinusitis, and severe systemic conditions.
结局指标
主要结局
Mean Symptom Score of Allergic Rhinitis Patients by Environmental Exposure
时间窗: Retrospective data collected over a 3-year period prior to study enrollment.
Mean allergic rhinitis symptom scores retrieved from electronic health records (EHR), stratified by environmental exposure levels (pollutants and climate factors), using the Observational Medical Outcomes Partnership (OMOP) common data model.
Proteomic Biomarker Levels (NPX) by Environmental Exposure
时间窗: Samples collected prospectively between months 10 and 15 (October-March, out-of-pollen season).
Proteomic profiles measured using Olink® assays in serum and nasal lavage of allergic rhinitis patients, stratified by environmental exposure.
次要结局
- SO1: Effect of air pollution on adaptive immune responses to allergenic pollen(Sample collection and analysis performed prospectively between months 10 and 24.)
- SO1: Proliferative responses of allergen-specific lymphocytes to pollen exposed to pollution(Assays conducted on samples collected between months 10 and 24.)
- SO1: Cytokine release from allergen-specific lymphocytes in response to polluted pollen(Analysis performed between months 10 and 24, post-sample collection.)