Browsing by Author "Alves, RR"
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- Profiling Persistent Asthma Phenotypes in Adolescents: A Longitudinal Diagnostic Evaluation from the INSPIRERS StudiesPublication . Amaral, R; Jácome, C; Almeida, R; Pereira, AM; Alves-Correia, M; Mendes, S; Rodrigues, JC; Carvalho, J; Araújo, L; Costa, A; Silva, A; Teixeira, MF; Ferreira-Magalhães, M; Alves, RR; Moreira, AS; Fernandes, RM; Ferreira, R; Leiria-Pinto, P; Neuparth, N; Bordalo, D; Todo Bom, A; Cálix, MJ; Ferreira, T; Gomes, J; Vidal, C; Mendes, A; Vasconcelos, MJ; Silva, PM; Ferraz, J; Morête, A; Pinto, CS; Santos, N; Loureiro, CC; Arrobas, A; Marques, ML; Lozoya, C; Lopes, C; Cardia, F; Loureiro, CC; Câmara, R; Vieira, I; Silva, S; Silva, E; Rodrigues, N; Fonseca, JAWe aimed to identify persistent asthma phenotypes among adolescents and to evaluate longitudinally asthma-related outcomes across phenotypes. Adolescents (13-17 years) from the prospective, observational, and multicenter INSPIRERS studies, conducted in Portugal and Spain, were included (n = 162). Latent class analysis was applied to demographic, environmental, and clinical variables, collected at a baseline medical visit. Longitudinal differences in clinical variables were assessed at a 4-month follow-up telephone contact (n = 128). Three classes/phenotypes of persistent asthma were identified. Adolescents in class 1 (n = 87) were highly symptomatic at baseline and presented the highest number of unscheduled healthcare visits per month and exacerbations per month, both at baseline and follow-up. Class 2 (n = 32) was characterized by female predominance, more frequent obesity, and uncontrolled upper/lower airways symptoms at baseline. At follow-up, there was a significant increase in the proportion of controlled lower airway symptoms (p < 0.001). Class 3 (n = 43) included mostly males with controlled lower airways symptoms; at follow-up, while keeping symptom control, there was a significant increase in exacerbations/month (p = 0.015). We have identified distinct phenotypes of persistent asthma in adolescents with different patterns in longitudinal asthma-related outcomes, supporting the importance of profiling asthma phenotypes in predicting disease outcomes that might inform targeted interventions and reduce future risk.