All Stories

  1. Multidisciplinary Development and Initial Validation of a Clinical Knowledge Base on Chronic Respiratory Diseases for mHealth Decision Support Systems
  2. Patients' Satisfaction with Remote Asthma Medical Follow-Up Before and During the COVID-19 Pandemic
  3. UCRAID (Ukrainian Citizen and refugee electronic support in Respiratory diseases, Allergy, Immunology and Dermatology) action plan
  4. MASK‐air® direct patient data support the ARIA‐MeDALL hypothesis on allergic phenotypes
  5. Adherence to inhaled corticosteroids and long-acting β2-agonists in asthma: A MASK-air study
  6. Identification by cluster analysis of patients with asthma and nasal symptoms using the MASK-air® mHealth app
  7. Patient‐centered digital biomarkers for allergic respiratory diseases and asthma: The ARIA‐EAACI approach – ARIA‐EAACI Task Force Report
  8. Symptoms of anxiety and depression in patients with persistent asthma: a cross-sectional analysis of the INSPIRERS studies
  9. PAAI – Interactive online self-learning programme for patients with asthma: Protocol for co-creation and impact
  10. Development and validation of an electronic daily control score for asthma (e-DASTHMA): a real-world direct patient data study
  11. Cutoff Values of MASK-air Patient-Reported Outcome Measures
  12. Unsupervised algorithms to identify potential under-coding of secondary diagnoses in hospitalisations databases in Portugal
  13. Measuring adherence to inhaled control medication in patients with asthma: Comparison among an asthma app, patient self‐report and physician assessment
  14. Digitally‐enabled, patient‐centred care in rhinitis and asthma multimorbidity: The ARIA‐MASK‐air®approach
  15. Multidisciplinary Development and Initial Validation of a Clinical Knowledge Base on Chronic Respiratory Diseases for mHealth Decision Support Systems (Preprint)
  16. Consistent trajectories of rhinitis control and treatment in 16,177 weeks: The MASK‐air® longitudinal study
  17. Real‐world data using mHealth apps in rhinitis, rhinosinusitis and their multimorbidities
  18. Academic Productivity of Young People With Allergic Rhinitis: A MASK-air Study
  19. Control of Allergic Rhinitis and Asthma Test: A systematic review of measurement properties and COSMIN analysis
  20. Comparison of rhinitis treatments using MASK‐air® data and considering the minimal important difference
  21. Development and Validation of a Digital Image Processing-Based Pill Detection Tool for an Oral Medication Self-Monitoring System
  22. Behavioural patterns in allergic rhinitis medication in Europe: A study using MASK‐air® real‐world data
  23. Allergen immunotherapy in MASK‐air users in real‐life: Results of a Bayesian mixed‐effects model
  24. Development and Validation of a Digital Image Processing-Based Pill Detection Tool for an Oral Medication Self-Monitoring System
  25. 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?
  26. The use of remote care during the coronavirus disease 2019 pandemic a perspective of Portuguese and Spanish physicians
  27. Assessment of the Control of Allergic Rhinitis and Asthma Test (CARAT) using MASK-air
  28. Determinants of the Use of Health and Fitness Mobile Apps by Patients With Asthma: Secondary Analysis of Observational Studies
  29. Phenotypes of persistent asthma in adolescents revealed different patterns in longitudinal asthma-related outcomes
  30. Determinants of blood eosinophil count in adults from a large population-based study
  31. Monitoring Adherence to Asthma Inhalers Using the InspirerMundi App: Analysis of Real-World, Medium-Term Feasibility Studies
  32. The influence of individual characteristics and non‐respiratory diseases on blood eosinophil count
  33. Feasibility and Acceptability of an Asthma App to Monitor Medication Adherence: Mixed Methods Study
  34. A Systematic Review of Asthma Phenotypes Derived by Data-Driven Methods
  35. Profiling Persistent Asthma Phenotypes in Adolescents: A Longitudinal Diagnostic Evaluation from the INSPIRERS Studies
  36. 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)
  37. Prescribing patterns of medication for respiratory diseases cluster analysis of the Portuguese electronic prescription database
  38. Feasibility and Acceptability of an Asthma App to Monitor Medication Adherence: Mixed Methods Study (Preprint)
  39. Identification of clusters of asthma control: A preliminary analysis of the Inspirers studies
  40. Determinants of use of health and fitness mobile apps by patients with asthma: secondary analysis of observational studies (Preprint)
  41. Feasibility of an asthma app to monitor medication adherence
  42. Latent classes of adults with persistent asthma: data from the multicentre INSPIRERS studies
  43. Validation of app and phone versions of the Control of Allergic Rhinitis and Asthma Test (CARAT)
  44. Where do we stand with asthma phenotypes derived from data-driven methods? A systematic review
  45. Reproducibility of the Vivatmopro measurements for exhaled nitric oxide values
  46. Automatic Quality Assessment of a Forced Expiratory Manoeuvre Acquired with the Tablet Microphone
  47. Combined Image-Based Approach for Monitoring the Adherence to Inhaled Medications
  48. Abstracts PDS
  49. Comparison of hypothesis- and data-driven asthma phenotypes in NHANES 2007–2012: the importance of comprehensive data availability
  50. Quality assessment and feedback of Smart Device Microphone Spirometry executed by children
  51. Real-Time Clinical Decision Support at the Point of Care
  52. Disentangling the heterogeneity of allergic respiratory diseases by latent class analysis reveals novel phenotypes
  53. A comparison of unsupervised methods based on dichotomous data to identify clusters of airways symptoms: latent class analysis and partitioning around medoids methods.
  54. Exhaled NO reference limits in a large population-based sample using the Lambda-Mu-Sigma method
  55. Abstracts TPS
  56. Having concomitant asthma phenotypes is common and independently relates to poor lung function in NHANES 2007–2012
  57. Automatic Quality Assessment of Smart Device Microphone Spirometry
  58. Cost of asthma in children: A nationwide, population-based, cost-of-illness study
  59. Abstracts from the 11th Symposium on Experimental Rhinology and Immunology of the Nose (SERIN 2017)
  60. IV. Posters
  61. Control of Allergic Rhinitis and Asthma Test for Children (CARATKids)
  62. Use of the Control of Allergic Rhinitis and Asthma Test (CARATkids) in children and adolescents: Validation in Dutch
  63. Phenotypes of airway diseases in preschool children
  64. High proportion of overlap between adult asthma phenotypes in a large population-based sample
  65. Assessment of asthma control using CARAT in patients with and without Allergic Rhinitis: A pilot study in primary care
  66. Asthma control in the Portuguese National Asthma Survey
  67. Validation of Control of Allergic Rhinitis and Asthma Test for Children (CARATKids) - a prospective multicenter study