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  1. Home
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Browsing by Author "Anto, A"

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    Development and validation of combined symptom-medication scores for allergic rhinitis*
    Sousa-Pinto, B; Azevedo, LF; Jutel, M; Agache, I; Canonica, GW; Czarlewski, W; Papadopoulos, NG; Bergmann, KC; Devillier, P; Laune, D; Klimek, L; Anto, A; Anto, JM; Eklund, P; Almeida, R; Bedbrook, A; Bosnic-Anticevich, S; Brough, HA; Brussino, L; Cardona, V; Casale, T; Cecchi, L; Charpin, D; Chivato, T; Costa, EM; Cruz, AA; Dramburg, S; Durham, SR; De Feo, G; van Wijk, RG; Fokkens, WJ; Gemicioglu, B; Haahtela, T; Illario, M; Ivancevich, JC; Kvedariene, V; Kuna, P; Larenas-Linnemann, DE; Makris, M; Mathieu-Dupas, E; Melén, E; Morais-Almeida, M; Mösges, R; Mullol, J; Nadeau, KC; Nhan, PH; O'Hehir, R; Regateiro, FS; Reitsma, S; Samolinski, B; Sheikh, A; Stellato, C; Todo-Bom, A; Tomazic, PV; Toppila-Salmi, S; Valero, A; Valiulis, A; Ventura, MT; Wallace, D; Waserman, S; Yorgancioglu, A; Vries, G; Eerd, M; Zieglmayer, P; Zuberbier, T; Pfaar, O; Fonseca, JA; Bousquet, J
    Background Validated combined symptom-medication scores (CSMSs) are needed to investigate the effects of allergic rhinitis treatments. This study aimed to use real-life data from the MASK-air(R) app to generate and validate hypothesis- and data-driven CSMSs. Methods We used MASK-air(R) data to assess the concurrent validity, test-retest reliability and responsiveness of one hypothesis-driven CSMS (modified CSMS: mCSMS), one mixed hypothesis- and data-driven score (mixed score), and several data-driven CSMSs. The latter were generated with MASK-air(R) data following cluster analysis and regression models or factor analysis. These CSMSs were compared with scales measuring (i) the impact of rhinitis on work productivity (visual analogue scale [VAS] of work of MASK-air(R), and Work Productivity and Activity Impairment: Allergy Specific [WPAI-AS]), (ii) quality-of-life (EQ-5D VAS) and (iii) control of allergic diseases (Control of Allergic Rhinitis and Asthma Test [CARAT]). Results We assessed 317,176 days of MASK-air(R) use from 17,780 users aged 16-90 years, in 25 countries. The mCSMS and the factor analyses-based CSMSs displayed poorer validity and responsiveness compared to the remaining CSMSs. The latter displayed moderate-to-strong correlations with the tested comparators, high test-retest reliability and moderate-to-large responsiveness. Among data-driven CSMSs, a better performance was observed for cluster analyses-based CSMSs. High accuracy (capacity of discriminating different levels of rhinitis control) was observed for the latter (AUC-ROC = 0.904) and for the mixed CSMS (AUC-ROC = 0.820). Conclusion The mixed CSMS and the cluster-based CSMSs presented medium-high validity, reliability and accuracy, rendering them as candidates for primary endpoints in future rhinitis trials.
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    Is diet partly responsible for differences in COVID-19 death rates between and within countries? (vol 10, 16, 2020)
    Bousquet, J; Anto, JM; Iaccarino, G; Czarlewski, W; Haahtela, T; Anto, A; Akdis, CA; Blain, H; Canonica, GW; Cardona, V; Cruz, AA; Illario, M; Ivancevich, JC; Jutel, M; Klimek, L; Kuna, P; Laune, D; Larenas-Linnemann, D; Mullol, J; Papadopoulos, NG; Pfaar, O; Samolinski, B; Valiulis, A; Yorgancioglu, A; Zuberbier, T
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    Is diet partly responsible for differences in COVID-19 death rates between and within countries?
    Bousquet, J; Anto, JM; Iaccarino, G; Czarlewski, W; Haahtela, T; Anto, A; Akdis, CA; Blain, H; Canonica, GW; Cardona, V; Cruz, AA; Illario, M; Ivancevich, JC; Jutel, M; Klimek, L; Kuna, P; Laune, D; Larenas-Linnemann, D; Mullol, J; Papadopoulos, NG; Pfaar, O; Samolinski, B; Valiulis, A; Yorgancioglu, A; Zuberbier, T
    Reported COVID-19 deaths in Germany are relatively low as compared to many European countries. Among the several explanations proposed, an early and large testing of the population was put forward. Most current debates on COVID-19 focus on the differences among countries, but little attention has been given to regional differences and diet. The low-death rate European countries (e.g. Austria, Baltic States, Czech Republic, Finland, Norway, Poland, Slovakia) have used different quarantine and/or confinement times and methods and none have performed as many early tests as Germany. Among other factors that may be significant are the dietary habits. It seems that some foods largely used in these countries may reduce angiotensin-converting enzyme activity or are anti-oxidants. Among the many possible areas of research, it might be important to understand diet and angiotensin-converting enzyme-2 (ACE2) levels in populations with different COVID-19 death rates since dietary interventions may be of great benefit.
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    Real-world data using mHealth apps in rhinitis, rhinosinusitis and their multimorbidities
    Sousa-Pinto, B; Anto, A; Berger, M; Dramburg, S; Pfaar, O; Klimek, L; Jutel, M; Czarlewski, W; Bedbrook, A; Valiulis, A; Agache, I; Amaral, R; Ansotegui, IJ; Bastl, K; Berger, U; Bergmann, KC; Bosnic-Anticevich, S; Braido, F; Brussino, L; Cardona, V; Casale, T; Canonica, GW; Cecchi, L; Charpin, D; Chivato, T; Chu, DK; Cingi, C; Costa, EM; Cruz, AA; Devillier, P; Durham, SR; Ebisawa, M; Fiocchi, A; Fokkens, WJ; Gemicioglu, B; Gotua, M; Guzmán, MA; Haahtela, T; Ivancevich, JC; Kuna, P; Kaidashev, I; Khaitov, M; Kvedariene, V; Larenas-Linnemann, DE; Lipworth, B; Laune, D; Matricardi, PM; Morais-Almeida, M; Mullol, J; Naclerio, R; Neffen, H; Nekam, K; Niedoszytko, M; Okamoto, Y; Papadopoulos, NG; Park, HS; Passalacqua, G; Patella, V; Pelosi, S; Nhan, PT; Popov, TA; Regateiro, FS; Reitsma, S; Rodriguez-Gonzales, M; Rosario, N; Rouadi, PW; Samolinski, B; Sá-Sousa, A; Sastre, J; Sheikh, A; Ulrik, CS; Taborda-Barata, L; Todo-Bom, A; Tomazic, PV; Toppila-Salmi, S; Tripodi, S; Tsiligianni, I; Valovirta, E; Ventura, MT; Valero, AA; Vieira, RJ; Wallace, D; Waserman, S; Williams, S; Yorgancioglu, A; Zhang, L; Zidarn, M; Zuberbier, J; Olze, H; Antó, JM; Zuberbier, T; Fonseca, JA; Bousquet, J
    Digital health is an umbrella term which encompasses eHealth and benefits from areas such as advanced computer sciences. eHealth includes mHealth apps, which offer the potential to redesign aspects of healthcare delivery. The capacity of apps to collect large amounts of longitudinal, real-time, real-world data enables the progression of biomedical knowledge. Apps for rhinitis and rhinosinusitis were searched for in the Google Play and Apple App stores, via an automatic market research tool recently developed using JavaScript. Over 1500 apps for allergic rhinitis and rhinosinusitis were identified, some dealing with multimorbidity. However, only six apps for rhinitis (AirRater, AllergyMonitor, AllerSearch, Husteblume, MASK-air and Pollen App) and one for rhinosinusitis (Galenus Health) have so far published results in the scientific literature. These apps were reviewed for their validation, discovery of novel allergy phenotypes, optimisation of identifying the pollen season, novel approaches in diagnosis and management (pharmacotherapy and allergen immunotherapy) as well as adherence to treatment. Published evidence demonstrates the potential of mobile health apps to advance in the characterisation, diagnosis and management of rhinitis and rhinosinusitis patients.

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