2 documents found, page 1 of 1
Identification by cluster analysis of patients with asthma and nasal symptoms u...
Bousquet, J.; Sousa-Pinto, B.; Anto, J. M.; Amaral, R.; Brussino, L.; Canonica, G. W.; Cruz, A. A.; Gemicioglu, B.; Haahtela, T.; Kupczyk, M.Background: The self-reporting of asthma frequently leads to patient misidentification in epidemiological studies. Strategies combining the triangulation of data sources may help to improve the identification of people with asthma. We aimed to combine information from the self-reporting of asthma, medication use and symptoms to identify asthma patterns in the users of an mHealth app. Methods: We studied MASK-ai...
The Portuguese Severe Asthma Registry: Development, Features, and Data Sharing ...
Sá-Sousa, A.; Fonseca, J.; Pereira, A.; Ferreira, A.; Arrobas, A.; Mendes, A.; Drummond, M.; Videira, W.; Costa, T.; Farinha, P.; Soares, J.; Rocha, P.The Portuguese Severe Asthma Registry (Registo de Asma Grave Portugal, RAG) was developed by an open collaborative network of asthma specialists. RAG collects data from adults and pediatric severe asthma patients that despite treatment optimization and adequate management of comorbidities require step 4/5 treatment according to GINA recommendations. In this paper, we describe the development and implementation ...