Browsing by Author "Louis, G"

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    Concepts for the Development of Person-Centered, Digitally Enabled, Artificial Intelligence-Assisted ARIA Care Pathways (ARIA 2024)
    Bousquet, J; Schünemann, HJ; Sousa-Pinto, B; Zuberbier, T; Togias, A; Samolinski, B; Bedbrook, A; Czarlewski, W; Hofmann-Apitius, M; Litynska, J; Vieira, RJ; Anto, JM; Fonseca, JA; Brozek, J; Bognanni, A; Brussino, L; Canonica, GW; Cherrez-Ojeda, I; Cruz, AA; de las Vecillas, L; Dykewicz, M; Gemicioglu, B; Giovannini, M; Haahtela, T; Jacobs, M; Jacomelli, C; Klimek, L; Kvedariene, V; Larenas-Linnemann, DE; Louis, G; Lourenço, O; Leemann, L; Morais-Almeida, M; Neves, AL; Nadeau, KC; Nowak, A; Palamarchuk, Y; Palkonen, S; Papadopoulos, NG; Parmelli, E; Pereira, AM; Pfaar, O; Regateiro, FS; Savouré, M; Taborda-Barata, L; Toppila-Salmi, SK; Torres, MJ; Valiulis, A; Ventura, MT; Williams, S; Yepes-Nunez, JJ; Yorgancioglu, A; Zhang, L; Zuberbier, J; Latiff, AHA; Abdullah, B; Agache, I; Al-Ahmad, M; Al-Nesf, MA; Al Shaikh, NA; Amaral, R; Ansotegui, IJ; Asllani, J; Balotro-Torres, MC; Bergman, KC; Bernstein, JA; Bindslev-Jensen, C; Blaiss, MS; Bonaglia, C; Bonini, M; Bossé, I; Braido, F; Caballero-Fonseca, F; Camargos, P; Carreiro-Martins, P; Casale, T; Castillo-Vizuete, JA; Cecchi, L; Teixeira, MD; Chang, YS; Loureiro, CC; Christoff, G; Ciprandi, G; Cirule, I; Correia-de-Sousa, J; Costa, EM; Cvetkovski, B; de Vries, G; Del Giacco, S; Devillier, P; Dokic, D; Douagui, H; Durham, SR; Enecilla, ML; Fiocchi, A; Fokkens, WJ; Fontaine, JF; Gawlik, R; Gereda, JE; Gil-Mata, S; Giuliano, AFM; Gotua, M; Gradauskiene, B; Guzman, MA; Hossny, E; Hrubisko, M; Iinuma, T; Irani, C; Ispayeva, Z; Ivancevich, JC; Jartti, T; Jesenák, MS; Julge, K; Jutel, M; Kaidashev, I; Bennoor, KS; Khaltaev, N; Kirenga, B; Kraxner, H; Kull, I; Kulus, M; Kuna, P; Kupczyk, M; Kurchenko, A; La Grutta, S; Lane, S; Miculinic, N; Lee, SM; Tuyet, LLT; Lkhagvaa, B; Louis, R; Mahboub, B; Makela, M; Makris, M; Maurer, M; Melén, E; Milenkovic, B; Mohammad, Y; Moniuszko, M; Montefort, S; Moreira, A; Moreno, P; Mullol, J; Nadif, R; Nakonechna, A; Navarro-Locsin, CG; Neffen, HE; Nekam, K; Niedoszytko, M; Nunes, E; Nyembue, D; O'Hehir, R; Ollert, M; Ohta, K; Okamoto, Y; Okubo, K; Olze, H; Padukudru, MA; Palomares, O; Pali-Scholl, I; Panzner, P; Palosuo, K; Park, HS; Passalacqua, G; Patella, V; Pawankar, R; Pétré, B; Pitsios, C; Plavec, D; Popov, TA; Puggioni, F; Quirce, S; Raciborski, F; Ramonaité, A; Recto, M; Repka-Ramirez, S; Roberts, G; Robles-Velasco, K; Roche, N; Rodriguez-Gonzalez, M; Romualdez, JA; Rottem, M; Rouadi, PW; Salapatas, M; Sastre, J; Serpa, FS; Sayah, Z; Scichilone, N; Senna, G; Sisul, JC; Solé, D; Soto-Martinez, ME; Sova, M; Sozinova, O; Stevanovic, K; Ulrik, CS; Szylling, A; Tan, FM; Tantilipikorn, P; Todo-Bom, A; Tomic-Spiric, V; Tsaryk, V; Tsiligianni, I; Urrutia-Pereira, M; Rostan, MV; Sofiev, M; Valovirta, E; Van Eerd, M; Van Ganse, E; Vasankari, T; Vichyanond, P; Viegi, G; Wallace, D; Wang, DY; Waserman, S; Wong, G; Worm, M; Yusuf, OM; Zaitoun, F; Zidarn, M
    The traditional healthcare model is focused on diseases (medicine and natural science) and does not acknowledge patients' resources and abilities to be experts in their own lives based on their lived experiences. Improving healthcare safety, quality, and coordination, as well as quality of life, is an important aim in the care of patients with chronic conditions. Person-centered care needs to ensure that people's values and preferences guide clinical decisions. This paper reviews current knowledge to develop (1) digital care pathways for rhinitis and asthma multimorbidity and (2) digitally enabled, person-centered care.(1) It combines all relevant research evidence, including the so-called real-world evidence, with the ultimate goal to develop digitally enabled, patient-centered care. The paper includes (1) Allergic Rhinitis and its Impact on Asthma (ARIA), a 2-decade journey, (2) Grading of Recommendations, Assessment, Development and Evaluation (GRADE), the evidence-based model of guidelines in airway diseases, (3) mHealth impact on airway diseases, (4) From guidelines to digital care pathways, (5) Embedding Planetary Health, (6) Novel classification of rhinitis and asthma, (7) Embedding real-life data with population-based studies, (8) The ARIA-EAACI (European Academy of Allergy and Clinical Immunology) strategy for the management of airway diseases using digital biomarkers, (9) Artificial intelligence, (10) The development of digitally enabled, ARIA person-centered care, and (11) The political agenda. The ultimate goal is to propose ARIA 2024 guidelines centered around the patient to make them more applicable and sustainable. (c) 2024 The Authors. Published by Elsevier Inc. on behalf of the American Academy of Allergy, Asthma & Immunology. This is an open access article under the CC BY license (http:// creativecommons.org/licenses/by/4.0/).
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    Impairment of EQ-5D-5L Domains According to Allergic Rhinitis and Asthma Control: A MASK-air Real-World Study
    Sousa-Pinto, B; Louis, G; Rodrigues, J; Giuliano, AFM; Baiardini, I; Braido, F; Czarlewski, W; Bedbrook, A; Haahtela, T; Valiulis, A; Brussino, L; Cecchi, L; Cruz, AA; Gemicioglu, B; Fokkens, WJ; Ivancevich, JC; Klimek, L; Kraxner, H; Kuna, P; Kupczyk, M; Kvedariene, V; Larenas-Linnemann, D; Louis, R; Nadif, R; Niedoszytko, M; Okamoto, Y; Ollert, M; Papadopoulos, NG; Patella, V; Pawankar, R; Pham-Thi, N; Pfaar, O; Regateiro, FS; Roche, N; Rouadi, PW; Samolinski, B; Sastre, J; Savouré, M; Scichilone, N; Sheikh, A; Taborda-Barata, L; Toppila-Salmi, S; Yorgancioglu, A; Zidarn, M; Anto, JM; Zuberbier, T; Canonica, GW; Ventura, MT; Fonseca, JA; Pétré, B; Bousquet, J
    BACKGROUND: EQ-5D-5L (EuroQOL, 5 Domains, 5 Levels) is a widely used health-related quality-of-life instrument, comprising 5 domains. However, it is not known how each domain is impacted by rhinitis or asthma control. OBJECTIVE: To assess the association between rhinitis or asthma control and the different EQ-5D-5L domains using data from the MASK-air mHealth app. METHODS: In this cross-sectional study, we assessed data from all MASK-air users (2015-2021; 24 countries). For the levels of each EQ-5D-5L domain, we assessed rhinitis and asthma visual analog scales (VASs) and the combined symptom-medication score (CSMS). We built ordinal multivariable models assessing the adjusted association between VAS/CSMS values and the levels of each EQ-5D-5L domain. Finally, we compared EQ-5D-5L data from users with rhinitis and self-reported asthma with data from users with rhinitis alone. RESULTS: We assessed 5354 days from 3092 users. We observed an association between worse control of rhinitis or asthma (higher VASs and CSMS) and worse EQ-5D-5L levels. In multivariable models, all VASs and the CSMS were associated with higher levels of pain/discomfort and daily activities. For anxiety/depression, the association was mostly observed for rhinitis-related tools (VAS nose, VAS global, and CSMS), although the presence of self-reported asthma was also associated with worse anxiety/depression. Worse mobility (walking around) was particularly associated with VAS asthma and with the presence of asthma.CONCLUSIONS: A worse rhinitis control and a worse asthma control are associated with higher EQ-5D-5L levels, particularly regarding pain/discomfort and activity impairment. Worse rhinitis control is associated with worse anxiety/depression, and poor asthma control with worse mobility. (c) 2023 American Academy of Allergy, Asthma & Immunology (J Allergy Clin Immunol Pract 2023;11:3742-51)
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    Relevance of individual bronchial symptoms for asthma diagnosis and control in patients with rhinitis: A MASK-air study
    Sousa-Pinto, B; Louis, G; Vieira, RJ; Czarlewski, W; Anto, JM; Amaral, R; Sá-Sousa, A; Brussino, L; Canonica, GW; Loureiro, CC; Cruz, AA; Gemicioglu, B; Haahtela, T; Kupczyk, M; Kvedariene, V; Larenas-Linnemann, DE; Pham-Thi, N; Puggioni, F; Regateiro, FS; Romantowski, J; Sastre, J; Scichilone, N; Taborda-Barata, L; Ventura, MT; Agache, I; Bedbrook, A; Benfante, A; Bergmann, KC; Bosnic-Anticevich, S; Bonini, M; Boulet, LP; Brusselle, G; Buhl, R; Cecchi, L; Charpin, D; Costa, EM; Del Giacco, S; Jutel, M; Klimek, L; Kuna, P; Laune, D; Makela, M; Morais-Almeida, M; Nadif, R; Niedoszytko, M; Papadopoulos, NG; Papi, A; Pfaar, O; Rivero-Yeverino, D; Roche, N; Samolinski, B; Shamji, MH; Sheikh, A; Ulrik, CS; Usmani, OS; Valiulis, A; Yorgancioglu, A; Zuberbier, T; Fonseca, JA; Pétré, B; Louis, R; Bousquet, J
    RationaleIt is unclear how each individual asthma symptom is associated with asthma diagnosis or control.ObjectivesTo assess the performance of individual asthma symptoms in the identification of patients with asthma and their association with asthma control.MethodsIn this cross-sectional study, we assessed real-world data using the MASK-air (R) app. We compared the frequency of occurrence of five asthma symptoms (dyspnea, wheezing, chest tightness, fatigue and night symptoms, as assessed by the Control of Allergic Rhinitis and Asthma Test [CARAT] questionnaire) in patients with probable, possible or no current asthma. We calculated the sensitivity, specificity and predictive values of each symptom, and assessed the association between each symptom and asthma control (measured using the e-DASTHMA score). Results were validated in a sample of patients with a physician-established diagnosis of asthma.Measurement and Main ResultsWe included 951 patients (2153 CARAT assessments), with 468 having probable asthma, 166 possible asthma and 317 no evidence of asthma. Wheezing displayed the highest specificity (90.5%) and positive predictive value (90.8%). In patients with probable asthma, dyspnea and chest tightness were more strongly associated with asthma control than other symptoms. Dyspnea was the symptom with the highest sensitivity (76.1%) and the one consistently associated with the control of asthma as assessed by e-DASTHMA. Consistent results were observed when assessing patients with a physician-made diagnosis of asthma.ConclusionsWheezing and chest tightness were the asthma symptoms with the highest specificity for asthma diagnosis, while dyspnea displayed the highest sensitivity and strongest association with asthma control.
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    Concurrent validity, cut-offs and ability to change of patient-reported outcome measures for rhinitis and asthma in MASK-air®
    Bousquet, J; Sousa-Pinto, B; Anto, JM; Bedbrook, A; Czarlewski, W; Ansotegui, IJ; Bergmann, KC; Braido, F; Brussino, L; Cecchi, L; Loureiro, CC; Cruz, AA; Devillier, P; Fiocchi, A; Gemicioglu, B; Haahtela, T; Ivancevich, JC; Klimek, L; Kulus, M; Kuna, P; Kupczyk, M; Kvedariene, V; Larenas-Linnemann, DE; Louis, G; Louis, R; Makris, M; Morais-Almeida, M; Niedoszytko, M; Ohta, K; Ollert, M; Papadopoulos, N; Patella, V; Pétré, B; Pfaar, O; Puggioni, F; Quirce, S; Regateiro, FS; Roche, N; Rouadi, PW; Samolinski, B; Sastre, J; Schleich, F; Scichilone, N; Taborda-Barata, L; Toppila-Salmi, S; Valiulis, A; Koyuncu, IV; Ventura, MT; Yorgancioglu, A; Fonseca, JA; Zuberbier, T
    Patient-reported outcome measures (PROMs) are used to assess a patient's health status at a particular point in time. They are essential in the development of person-centred care. This paper reviews studies performed on PROMs for assessing AR and asthma control, in particular VAS scales that are included in the app MASK-air (R) (Mobile Airways Sentinel networK) for asthma and rhinitis. VASs were initially developed on paper and pencil and tested for their criterion validity, cut-offs and responsiveness. Then, a multicentric, multinational, double-blind, placebo-controlled, randomised control trial (DB-PC-RCT) using an electronic VAS form was carried out. Finally, with the development of MASK-air (R) in 2015, previously validated VAS questions were adapted to the digital format and further methodologic evaluations were performed. VAS for asthma, rhinitis, conjunctivitis, work and EQ-5D are included in the app. Additionally, two control-medication scores for allergic symptoms of asthma (e-DASTHMA) were validated for their criterion validity, cut-offs and responsiveness.