Browsing by Author "Menditto, E"
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- ARIA Digital Anamorphosis: Digital Transformation of Health and Care in Airway Diseases from Research to PracticePublication . Bousquet, J; Anto, JM; Bachert, C; Haahtela, T; Zuberbier, T; Czarlewski, W; Bedbrook, A; Bosnic-Anticevich, S; Walter Canonica, G; Cardona, V; Costa, E; Costa, DJ; Courbis, AL; Custovic, A; Cvetkosvki, B; D'Amato, G; da Silva, J; Dantas, C; Dokic, D; Dauvilliers, Y; De Feo, G; Cruz, AA; De Vries, G; Devillier, P; Di Capua, S; Dray, G; Dubakiene, R; Durham, SR; Dykewicz, M; Ebisawa, M; Gaga, M; El-Gamal, Y; Erhola, M; Heffler, E; Emuzyte, R; Farrell, J; Fauquert, JL; Fiocchi, A; Fink-Wagner, A; Fontaine, JF; Fuentes Perez, JM; Gemicioğlu, B; Gamkrelidze, A; Fokkens, WJ; Garcia-Aymerich, J; Gevaert, P; Gomez, RM; González Diaz, S; Gotua, M; Guldemond, NA; Guzmán, MA; Hajjam, J; Huerta Villalobos, YR; Humbert, M; Fonseca, JA; Iaccarino, G; Ierodiakonou, D; Iinuma, T; Jassem, E; Joos, G; Jung, K; Kaidashev, I; Kalayci, O; Kardas, P; Keil, T; Illario, M; Khaitov, M; Khaltaev, N; Kleine-Tebbe, J; Kouznetsov, R; Kull, I; La Grutta, S; Leonardini, L; Ljungberg, H; Lieberman, P; Lipworth, B; Ivancevich, JC; Lodrup Carlsen, K; Lopes-Pereira, C; Loureiro, C; Louis, R; Mair, A; Mahboub, B; Makris, M; Malva, J; Manning, P; Marshall, G; Jutel, M; Masjedi, M; Carreiro-Martins, P; Makela, M; Mathieu-Dupas, E; Maurer, M; De Manuel Keenoy, E; Melo-Gomes, E; Meltzer, E; Menditto, E; Mercier, J; Klimek, L; Micheli, Y; Miculinic, N; Mihaltan, F; Milenkovic, B; Mitsias, D; Moda, G; Mogica-Martinez, MD; Mohammad, Y; Montefort, S; Monti, R; Kuna, P; Morais-Almeida, M; Mösges, R; Münter, L; Muraro, A; Murray, R; Naclerio, R; Napoli, L; Namazova-Baranova, L; Neffen, H; Nekam, K; Kvedariene, V; Neou, A; Nordlund, B; Novellino, E; Nyembue, D; O'Hehir, R; Ohta, K; Okubo, K; Onorato, G; Orlando, V; Ouedraogo, S; Le, L; Palamarchuk, J; Pali-Schöll, I; Panzner, P; Park, H; Passalacqua, G; Pépin, JL; Paulino, E; Pawankar, R; Phillips, J; Picard, R; Larenas-Linnemann, DE; Pinnock, H; Plavec, D; Popov, T; Portejoie, F; Price, D; Prokopakis, E; Psarros, F; Pugin, B; Puggioni, F; Quinones-Delgado, P; Laune, D; Raciborski, F; Rajabian-Söderlund, R; Regateiro, F; Reitsma, S; Rivero-Yeverino, D; Roberts, G; Roche, N; Rodriguez-Zagal, E; Rolland, C; Roller-Wirnsberger, R; Lourenço, OM; Rosario, N; Romano, A; Rottem, M; Ryan, D; Salimäki, J; Sanchez-Borges, M; Sastre, J; Scadding, G; Scheire, S; Schmid-Grendelmeier, P; Melén, Erik; Schünemann, H; Sarquis Serpa, F; Shamji, M; Sisul, JC; Sofiev, M; Solé, D; Somekh, D; Sooronbaev, T; Sova, M; Spertini, F; Mullol, J; Spranger, O; Stellato, C; Stelmach, R; Thibaudon, M; To, T; Toumi, M; Usmani, O; Valero, A; Valenta, R; Valentin-Rostan, M; Niedoszytko, M; Pereira, M; van der Kleij, R; Van Eerd, M; Vandenplas, O; Vasankari, T; Vaz Carneiro, A; Vezzani, G; Viart, F; Viegi, G; Wallace, D; Odemyr, M; Wagenmann, M; Wang, Y; Waserman, S; Wickman, M; Williams, D; Wong, G; Wroczynski, P; Yiallouros, P; Yusuf, O; Zar, HJ; Okamoto, Y; Zeng, S; Zernotti, ME; Zhang, L; Shan Zhong, N; Papadopoulos, NG; Patella, V; Pfaar, O; Pham-Thi, N; Rolland, C; Samolinski, B; Sheikh, A; Sofiev, M; Suppli Ulrik, C; Todo-Bom, A; Tomazic, PV; Toppila-Salmi, S; Tsiligianni, I; Valiulis, A; Valovirta, E; Ventura, MT; Walker, S; Williams, S; Yorgancioglu, A; Agache, I; Akdis, CA; Almeida, R; Ansotegui, IJ; Annesi-Maesano, I; Arnavielhe, S; Basagaña, X; D Bateman, E; Bédard, A; Bedolla-Barajas, M; Becker, S; Bennoor, KS; Benveniste, S; Bergmann, KC; Bewick, M; Bialek, S; E Billo, N; Bindslev-Jensen, C; Bjermer, L; Blain, H; Bonini, M; Bonniaud, P; Bosse, I; Bouchard, J; Boulet, LP; Bourret, R; Boussery, K; Braido, F; Briedis, V; Briggs, A; Brightling, CE; Brozek, J; Brusselle, G; Brussino, L; Buhl, R; Buonaiuto, R; Calderon, MA; Camargos, P; Camuzat, T; Caraballo, L; Carriazo, AM; Carr, W; Cartier, C; Casale, T; Cecchi, L; Cepeda Sarabia, AM; H Chavannes, N; Chkhartishvili, E; Chu, DK; Cingi, C; Correia de Sousa, JDigital anamorphosis is used to define a distorted image of health and care that may be viewed correctly using digital tools and strategies. MASK digital anamorphosis represents the process used by MASK to develop the digital transformation of health and care in rhinitis. It strengthens the ARIA change management strategy in the prevention and management of airway disease. The MASK strategy is based on validated digital tools. Using the MASK digital tool and the CARAT online enhanced clinical framework, solutions for practical steps of digital enhancement of care are proposed.
- Digitally‐Enabled, Patient‐Centred Care in Rhinitis and Asthma Multimorbidity: The ARIA‐MASK‐air ® ApproachPublication . Bousquet, J; Anto, JM; Sousa‐Pinto, B; Czarlewski, W; Bedbrook, A; Haahtela, T; Klimek, L; Pfaar, O; Kuna, P; Kupczyk, M; Regateiro, FS; Samolinski, B; Valiulis, A; Yorgancioglu, A; Arnavielhe, S; Basagaña, X; Bergmann, KC; Bosnic‐Anticevich, S; Brussino, L; Canonica, GW; Cardona, V; Cecchi, L; Chaves‐Loureiro, C; Costa, E; Cruz, AA; Gemicioglu, B; Fokkens, W; Ivancevich, JC; Kraxner, H; Kvedariene, V; Larenas‐Linnemann, DE; Laune, D; Louis, R; Makris, M; Maurer, M; Melén, E; Micheli, Y; Morais‐Almeida, M; Mullol, J; Niedoszytko, M; Okamoto, Y; Papadopoulos, NG; Patella, V; Pham‐Thi, N; Rouadi, PW; Sastre, J; Scichilone, N; Sheikh, A; Sofiev, M; Taborda‐Barata, L; Toppila‐Salmi, S; Tsiligianni, I; Valovirta, E; Ventura, MT; Vieira, RJ; Zidarn, M; Amaral, R; Ansotegui, IJ; Bédard, A; Benveniste, S; Bewick, M; Bindslev‐Jensen, C; Blain, H; Bonini, M; Bourret, R; Braido, F; Carreiro‐Martins, P; Charpin, D; Cherrez‐Ojeda, I; Chivato, T; Chu, DK; Cingi, C; Del Giacco, S; de Blay, F; Devillier, P; De Vries, G; Doulaptsi, M; Doyen, V; Dray, G; Fontaine, JF; Gomez, RM; Hagemann, J; Heffler, E; Hofmann, M; Jassem, E; Jutel, M; Keil, T; Kritikos, V; Kull, I; Kulus, M; Lourenço, O; Mathieu‐Dupas, E; Menditto, E; Mösges, R; Murray, R; Nadif, R; Neffen, H; Nicola, S; O’Hehir, R; Olze, H; Palamarchuk, Y; Pépin, JL; Pétré, B; Picard, R; Pitsios, C; Puggioni, F; Quirce, S; Raciborski, F; Reitsma, S; Roche, N; Rodriguez‐Gonzalez, M; Romantowski, J; Sá‐Sousa, A; Serpa, FS; Savouré, M; Shamji, MH; Sova, M; Sperl, A; Stellato, C; Todo‐Bom, A; Tomazic, PV; Vandenplas, O; Van Eerd, M; Vasankari, T; Viart, F; Waserman, S; Fonseca, JA; Zuberbier, TMASK-air® , a validated mHealth app (Medical Device regulation Class IIa) has enabled large observational implementation studies in over 58,000 people with allergic rhinitis and/or asthma. It can help to address unmet patient needs in rhinitis and asthma care. MASK-air® is a Good Practice of DG Santé on digitally-enabled, patient-centred care. It is also a candidate Good Practice of OECD (Organisation for Economic Co-operation and Development). MASK-air® data has enabled novel phenotype discovery and characterisation, as well as novel insights into the management of allergic rhinitis. MASK-air® data show that most rhinitis patients (i) are not adherent and do not follow guidelines, (ii) use as-needed treatment, (iii) do not take medication when they are well, (iv) increase their treatment based on symptoms and (v) do not use the recommended treatment. The data also show that control (symptoms, work productivity, educational performance) is not always improved by medications. A combined symptom-medication score (ARIA-EAACI-CSMS) has been validated for clinical practice and trials. The implications of the novel MASK-air® results should lead to change management in rhinitis and asthma.
- Next-Generation Allergic Rhinitis and Its Impact on Asthma (ARIA) Guidelines for Allergic Rhinitis Based on Grading of Recommendations Assessment, Development and Evaluation (GRADE) and Real-World EvidencePublication . Bousquet, J; Schünemann, HJ; Togias, A; Bachert, C; Erhola, M; Hellings, PW; Klimek, L; Pfaar, O; Wallace, D; Ansotegui, I; Agache, I; Walker, S; Waserman, S; Yorgancioglu, A; Zuberbier, T; Bedbrook, A; Bergmann, KC; Bewick, M; Bonniaud, P; Bosnic-Anticevich, S; Bossé, I; Bouchard, J; Boulet, LP; Brozek, J; Brusselle, G; Calderon, MA; Canonica, WG; Caraballo, L; Cardona, V; Casale, T; Cecchi, L; Chu, DK; Costa, EM; Cruz, AA; Czarlewski, W; D'Amato, G; Devillier, P; Dykewicz, M; Ebisawa, M; Fauquert, JL; Fokkens, WJ; Fonseca, JA; Fontaine, JF; Gemicioglu, B; van Wijk, RG; Haahtela, T; Halken, S; Ierodiakonou, D; Iinuma, T; Ivancevich, JC; Jutel, M; Kaidashev, I; Khaitov, M; Kalayci, O; Kleine Tebbe, J; Kowalski, ML; Kuna, P; Kvedariene, V; La Grutta, S; Larenas-Linnemann, D; Lau, S; Laune, D; Le, L; Lieberman, P; Lodrup Carlsen, KC; Lourenço, O; Marien, G; Carreiro-Martins, P; Melén, E; Menditto, E; Neffen, H; Mercier, G; Mosgues, R; Mullol, J; Muraro, A; Namazova, L; Novellino, E; O'Hehir, R; Okamoto, Y; Ohta, K; Park, HS; Panzner, P; Passalacqua, G; Pham-Thi, N; Price, D; Roberts, G; Roche, N; Rolland, C; Rosario, N; Ryan, D; Samolinski, B; Sanchez-Borges, M; Scadding, GL; Shamji, MH; Sheikh, A; Todo Bom, AM; Toppila-Salmi, S; Tsiligianni, I; Valentin-Rostan, M; Valiulis, A; Valovirta, E; Ventura, MTThe selection of pharmacotherapy for patients with allergic rhinitis aims to control the disease and depends on many factors. Grading of Recommendations Assessment, Development and Evaluation (GRADE) guidelines have considerably improved the treatment of allergic rhinitis. However, there is an increasing trend toward use of real-world evidence to inform clinical practice, especially because randomized controlled trials are often limited with regard to the applicability of results. The Contre les Maladies Chroniques pour un Vieillissement Actif (MACVIA) algorithm has proposed an allergic rhinitis treatment by a consensus group. This simple algorithm can be used to step up or step down allergic rhinitis treatment. Next-generation guidelines for the pharmacologic treatment of allergic rhinitis were developed by using existing GRADE-based guidelines for the disease, real-world evidence provided by mobile technology, and additive studies (allergen chamber studies) to refine the MACVIA algorithm.
- Treatment of Allergic Rhinitis Using Mobile Technology with Real-World Data: the MASK Observational Pilot StudyPublication . Bousquet, J; Devillier, P; Arnavielhe, S; Bedbrook, A; Alexis-Alexandre, G; van Eerd, M; Murray, R; Canonica, GW; Illario, M; Menditto, E; Passalacqua, G; Stellato, C; Triggiani, M; Carreiro-Martins, P; Fonseca, J; Morais Almeida, M; Nogueira-Silva, L; Pereira, AM; Todo Bom, A; Bosse, I; Caimmi, D; Demoly, P; Fontaine, JF; Just, J; Onorato, G L; Kowalski, ML; Kuna, P; Samolinski, B; Anto, JM; Mullol, J; Valero, A; Tomazic, PV; Bergmann, KC; Keil, T; Klimek, L; Mösges, R; Shamai, S; Zuberbier, T; Murphy, E; McDowall, P; Price, D; Ryan, D; Sheikh, A; Chavannes, NH; Fokkens, W J; Kvedariene, V; Valiulis, A; Bachert, C; Hellings, PW; Kull, I; Melen, E; Wickman, M; Bindslev-Jensen, C; Eller, E; Haahtela, T; Papadopoulos, NG; Annesi-Maesano, I; Bewick, M; Bosnic-Anticevich, S; Cruz, A A; De Vries, G; Gemicioglu, B; Larenas-Linnemann, D; Laune, D; Mathieu-Dupas, E; O'Hehir, RE; Pfaar, O; Portejoie, F; Siroux, V; Spranger, O; Valovirta, E; VandenPlas, O; Yorgancioglu, ABackground: Large observational implementation studies are needed to triangulate the findings from randomized control trials as they reflect "real-world" everyday practice. In a pilot study, we attempted to provide additional and complementary insights on the real-life treatment of allergic rhinitis (AR) using mobile technology. Methods: A mobile phone app (Allergy Diary, freely available in Google Play and Apple App stores) collects the data of daily visual analog scales (VAS) for (i) overall allergic symptoms, (ii) nasal, ocular, and asthma symptoms, (iii) work, as well as (iv) medication use using a treatment scroll list including all medications (prescribed and over the counter (OTC)) for rhinitis customized for 15 countries. Results: A total of 2871 users filled in 17 091 days of VAS in 2015 and 2016. Medications were reported for 9634 days. The assessment of days appeared to be more informative than the course of the treatment as, in real life, patients do not necessarily use treatment on a daily basis; rather, they appear to increase treatment use with the loss of symptom control. The Allergy Diary allowed differentiation between treatments within or between classes (intranasal corticosteroid use containing medications and oral H1-antihistamines). The control of days differed between no [best control], single, or multiple treatments (worst control). Conclusions: This study confirms the usefulness of the Allergy Diary in accessing and assessing everyday use and practice in AR. This pilot observational study uses a very simple assessment (VAS) on a mobile phone, shows novel findings, and generates new hypotheses.