All Stories

  1. Impact of prolonged invasive mechanical ventilation in extremely preterm infants on long-term neurodevelopmental and neurosensory outcomes: A narrative review
  2. Comparison of Allergic Rhinitis Treatments on Patient Satisfaction: A MASK‐air and EAACI Methodological Committee Report
  3. Control of Allergic Rhinitis and Asthma Test for Children (CARATkids): A systematic review and meta‐analysis of its measurement properties
  4. Adherence to Treatment in Allergic Rhinitis During the Pollen Season in Europe: A MASK‐air Study
  5. Validation of the adult asthma epidemiological score: a secondary analysis of the EPI-ASTHMA population-based study
  6. Concepts for the Development of Person-Centered, Digitally Enabled, Artificial Intelligence–Assisted ARIA Care Pathways (ARIA 2024)
  7. Patients’ health care resources utilization and costs estimation across cardiovascular risk categories: insights from the LATINO study
  8. MASK-air: An OECD (Organisation for Economic Co-operation and Development) Best Practice for Public Health on Integrated Care for Chronic Diseases
  9. Poor Rhinitis and Asthma Control Is Associated With Decreased Health-Related Quality of Life and Utilities: A MASK-air Study
  10. Relevance of individual bronchial symptoms for asthma diagnosis and control in patients with rhinitis: A MASK‐air study
  11. Understanding beliefs about inhaled medication in patients with persistent asthma: a cross-sectional analysis of the INSPIRERS studies
  12. Association between pre-biologic T2-biomarker combinations and response to biologics in patients with severe asthma
  13. The impact of patient and public involvement in chronic respiratory disease research: the ConectAR experience
  14. Multidisciplinary Development and Initial Validation of a Clinical Knowledge Base on Chronic Respiratory Diseases for mHealth Decision Support Systems
  15. ERS technical standard: Global Lung Function Initiative reference values for exhaled nitric oxide fraction (FENO50)
  16. Patients' Satisfaction with Remote Asthma Medical Follow-Up Before and During the COVID-19 Pandemic
  17. UCRAID (Ukrainian Citizen and refugee electronic support in Respiratory diseases, Allergy, Immunology and Dermatology) action plan
  18. MASK‐air® direct patient data support the ARIA‐MeDALL hypothesis on allergic phenotypes
  19. Adherence to inhaled corticosteroids and long-acting β2-agonists in asthma: A MASK-air study
  20. Identification by cluster analysis of patients with asthma and nasal symptoms using the MASK-air® mHealth app
  21. Patient‐centered digital biomarkers for allergic respiratory diseases and asthma: The ARIA‐EAACI approach – ARIA‐EAACI Task Force Report
  22. Symptoms of anxiety and depression in patients with persistent asthma: a cross-sectional analysis of the INSPIRERS studies
  23. PAAI – Interactive online self-learning programme for patients with asthma: Protocol for co-creation and impact
  24. Development and validation of an electronic daily control score for asthma (e-DASTHMA): a real-world direct patient data study
  25. Cutoff Values of MASK-air Patient-Reported Outcome Measures
  26. Unsupervised algorithms to identify potential under-coding of secondary diagnoses in hospitalisations databases in Portugal
  27. Measuring adherence to inhaled control medication in patients with asthma: Comparison among an asthma app, patient self‐report and physician assessment
  28. Digitally‐enabled, patient‐centred care in rhinitis and asthma multimorbidity: The ARIA‐MASK‐air®approach
  29. Multidisciplinary Development and Initial Validation of a Clinical Knowledge Base on Chronic Respiratory Diseases for mHealth Decision Support Systems (Preprint)
  30. Consistent trajectories of rhinitis control and treatment in 16,177 weeks: The MASK‐air® longitudinal study
  31. Real‐world data using mHealth apps in rhinitis, rhinosinusitis and their multimorbidities
  32. Academic Productivity of Young People With Allergic Rhinitis: A MASK-air Study
  33. Measuring adherence to inhaled control medication in patients with asthma: comparison among an asthma app, patient self-report and physician assessment
  34. Comparison of lung auscultation between smartphone and digital stethoscope in patients with asthma: a feasibility study
  35. Feasibility of an asthma app to monitor inhaler adherence in primary care: a 4-month prospective multicentre study
  36. Interrelationships between body mass index, total IgE, and blood eosinophils count in healthy subjects
  37. Control of Allergic Rhinitis and Asthma Test: A systematic review of measurement properties and COSMIN analysis
  38. Comparison of rhinitis treatments using MASK‐air® data and considering the minimal important difference
  39. Allergen sensitization associates with worse lung function parameters
  40. Development and Validation of a Digital Image Processing-Based Pill Detection Tool for an Oral Medication Self-Monitoring System
  41. Behavioural patterns in allergic rhinitis medication in Europe: A study using MASK‐air® real‐world data
  42. Allergen immunotherapy in MASK‐air users in real‐life: Results of a Bayesian mixed‐effects model
  43. Development and Validation of a Digital Image Processing-Based Pill Detection Tool for an Oral Medication Self-Monitoring System
  44. What Do Physicians Think About the Use of Telemedicine to Recruit and Assess Participants in mHealth-Related Clinical Studies as a Consequence of the COVID-19 Pandemic?
  45. The use of remote care during the coronavirus disease 2019 pandemic a perspective of Portuguese and Spanish physicians
  46. Development and Validation of an Electronic Daily Control Score for Asthma (e-DASTHMA)
  47. Assessment of the Control of Allergic Rhinitis and Asthma Test (CARAT) using MASK-air
  48. Determinants of the Use of Health and Fitness Mobile Apps by Patients With Asthma: Secondary Analysis of Observational Studies
  49. Phenotypes of persistent asthma in adolescents revealed different patterns in longitudinal asthma-related outcomes
  50. Engagement with an asthma app to monitor medication adherence and its association with patients’ characteristics
  51. Determinants of blood eosinophil count in adults from a large population-based study
  52. Monitoring Adherence to Asthma Inhalers Using the InspirerMundi App: Analysis of Real-World, Medium-Term Feasibility Studies
  53. The influence of individual characteristics and non‐respiratory diseases on blood eosinophil count
  54. Feasibility and Acceptability of an Asthma App to Monitor Medication Adherence: Mixed Methods Study
  55. A Systematic Review of Asthma Phenotypes Derived by Data-Driven Methods
  56. Profiling Persistent Asthma Phenotypes in Adolescents: A Longitudinal Diagnostic Evaluation from the INSPIRERS Studies
  57. What do physicians think about the use of telemedicine to recruit and assess participants in mHealth clinical studies as a consequence of the COVID-19 pandemic? (Preprint)
  58. Prescribing patterns of medication for respiratory diseases cluster analysis of the Portuguese electronic prescription database
  59. Feasibility and Acceptability of an Asthma App to Monitor Medication Adherence: Mixed Methods Study (Preprint)
  60. Identification of clusters of asthma control: A preliminary analysis of the Inspirers studies
  61. Determinants of use of health and fitness mobile apps by patients with asthma: secondary analysis of observational studies (Preprint)
  62. Patient engagement with an asthma app to improve inhaler adherence
  63. Feasibility of an asthma app to monitor medication adherence
  64. Latent classes of adults with persistent asthma: data from the multicentre INSPIRERS studies
  65. Validation of app and phone versions of the Control of Allergic Rhinitis and Asthma Test (CARAT)
  66. Where do we stand with asthma phenotypes derived from data-driven methods? A systematic review
  67. Measurement of respiratory function with a mobile application: comparison with a conventional spirometer and evaluation of usability
  68. Data-driven prescription patterns in patients under maintenance treatment for respiratory diseases from the Portuguese prescription database
  69. Reproducibility of the Vivatmopro measurements for exhaled nitric oxide values
  70. Automatic Quality Assessment of a Forced Expiratory Manoeuvre Acquired with the Tablet Microphone
  71. Combined Image-Based Approach for Monitoring the Adherence to Inhaled Medications
  72. Abstracts PDS
  73. Comparison of hypothesis- and data-driven asthma phenotypes in NHANES 2007–2012: the importance of comprehensive data availability
  74. Quality assessment and feedback of Smart Device Microphone Spirometry executed by children
  75. Real-Time Clinical Decision Support at the Point of Care
  76. Disentangling the heterogeneity of allergic respiratory diseases by latent class analysis reveals novel phenotypes
  77. A comparison of unsupervised methods based on dichotomous data to identify clusters of airways symptoms: latent class analysis and partitioning around medoids methods.
  78. Exhaled NO reference limits in a large population-based sample using the Lambda-Mu-Sigma method
  79. Abstracts TPS
  80. Having concomitant asthma phenotypes is common and independently relates to poor lung function in NHANES 2007–2012
  81. Automatic Quality Assessment of Smart Device Microphone Spirometry
  82. Cost of asthma in children: A nationwide, population-based, cost-of-illness study
  83. Abstracts from the 11th Symposium on Experimental Rhinology and Immunology of the Nose (SERIN 2017)
  84. IV. Posters
  85. Control of Allergic Rhinitis and Asthma Test for Children (CARATKids)
  86. Use of the Control of Allergic Rhinitis and Asthma Test (CARATkids) in children and adolescents: Validation in Dutch
  87. Phenotypes of airway diseases in preschool children
  88. High proportion of overlap between adult asthma phenotypes in a large population-based sample
  89. Assessment of asthma control using CARAT in patients with and without Allergic Rhinitis: A pilot study in primary care
  90. Asthma control in the Portuguese National Asthma Survey
  91. Validation of Control of Allergic Rhinitis and Asthma Test for Children (CARATKids) - a prospective multicenter study
  92. Integrative genomic analysis identifies a role for intercellular adhesion molecule 1 in childhood asthma