| Autor: |
Pablo Rodriguez del Rio, MD, PhD, Davide Caimmi, MD, PhD, Pilar Rico Nieto, MD, PhD, Carmen Vidal, MD, PhD, Carmen Moreno, MD, PhD, Maria Teresa González-Fernández, MD, Margarita Tomás-Pérez, MD, Ana Beristain, MD, Isa Bosse, MD, Hoai Bich Trinh, MD, Thomas B. Casale, MD, PhD, Pascal Demoly, MD, PhD, Moises A. Calderon, MD, PhD |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
World Allergy Organization Journal, Vol 16, Iss 6, Pp 100791- (2023) |
| Druh dokumentu: |
article |
| ISSN: |
1939-4551 |
| DOI: |
10.1016/j.waojou.2023.100791 |
| Popis: |
Background: There is no description of the drivers of prescription for allergen immunotherapy (AIT) for respiratory allergic diseases. Methods: A prospective, multicentre, observational, non-interventional real-life study was performed in France and Spain for 20 months. Data were gathered using 2 different questionnaires, anonymously collected in an online platform. No names of AIT products were recorded. Multivariate analysis and unsupervised cluster analysis were performed. Results: One hundred and three physicians (50.5% from Spain and 49.5% from France) reported 1735 patients (433 in France and 1302 in Spain), 47.9% males, 64.8% adults with a mean age 26.2 years old. They suffered from allergic rhinitis (99%), allergic conjunctivitis (70.4%), allergic asthma (51.8%), atopic dermatitis (13.9%), and food allergy (9.9%). A clustering analysis based on 13 predefined relevant variables for AIT-prescription identified 5 different clusters, each of them including information regarding doctor's profile and patient demographics, baseline disease characteristics, and main AIT indication: 1) Looking at the future: focusing on asthma prevention (n = 355), 2) Efficacy after discontinuation of AIT (n = 293), 3) Fighting severe allergic disease (n = 322), 4) Looking at the present, facing current symptoms (n = 265) and 5) Doctor's own clinical experience (n = 500). Each one of these clusters have specific patients' and doctors' characteristics, representing distinctive AIT prescription drivers. Conclusion: Using data-driven analysis, we identified for the first time some reasons and patterns of AIT prescriptions in real-life clinical settings. There is no uniform indication for prescribing AIT, which varies amongst patients and doctors with multiple but specific drivers, taking into account several relevant parameters. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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