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  1. Correlation between work impairment, scores of rhinitis severity and asthma using the MASK-air® App
    Author: Bedard A.; Anto J. M.; Fonseca J. A.; Arnavielhe S.; Bachert C.; Bedbrook A.; Bindslev-Jensen C.; Bosnic-Anticevich S.; Cardona V.; Cruz A. A.; Fokkens W. J.; Garcia-Aymerich J.; Hellings P. W.; Ivancevich J. C.; Klimek L.; Kuna P.; Kvedariene V.; Larenas-Linnemann D.; Melen E.; Monti R.; Mosges R.; Mullol J.; Papadopoulos N. G.; Pham-Thi N.; Samolinski B.; Tomazic P. V.; Toppila-Salmi S.; Ventura M. T.; Yorgancioglu A.; Bousquet J.; Pfaar O.; Basagana X.; Aberer W.; Agache I.; Akdis C. A.; Akdis M.; Aliberti M. R.; Almeida R.; Amat F.; Angles R.; Annesi-Maesano I.; Ansotegui I. J.; Arnavielle S.; Asayag E.; Asarnoj A.; Arshad H.; Avolio F.; Bacci E.; Baiardini I.; Barbara C.; Barbagallo M.; Baroni I.; Barreto B. A.; Bateman E. D.; Bedolla-Barajas M.; Bewick M.; Beghe B.; Bel E. H.; Bergmann K. C.; Bennoor K. S.; Benson M.; Bertorello L.; Bialoszewski A. Z.; Bieber T.; Bialek S.; Bjermer L.; Blain H.; Blasi F.; Blua A.; Bochenska Marciniak M.; Bogus-Buczynska I.; Boner A. L.; Bonini M.; Bonini S.; Bosse I.; Bouchard J.; Boulet L. P.; Bourret R.; Bousquet P. J.; Braido F.; Briedis V.; Brightling C. E.; Brozek J.; Bucca C.; Buhl R.; Buonaiuto R.; Panaitescu C.; Burguete Cabanas M. T.; Burte E.; Bush A.; Caballero-Fonseca F.; Caillaud D.; Caimmi D.; Calderon M. A.; Camargos P. A. M.; Camuzat T.; Canfora G.; Canonica G. W.; Carlsen K. H.; Carreiro-Martins P.; Carriazo A. M.; Carr W.; Cartier C.; Casale T.; Castellano G.; Cecchi L.; Cepeda A. M.; Chavannes N. H.; Chen Y.; Chiron R.; Chivato T.; Chkhartishvili E.; Chuchalin A. G.; Chung K. F.; Ciaravolo M. M.; Ciceran A.; Cingi C.; Ciprandi G.; Carvalho Coehlo A. C.; Colas L.; Colgan E.; Coll J.; Conforti D.; Constantinidis J.; Correia de Sousa J.; Cortes-Grimaldo R. M.; Corti F.; Costa E.; Costa-Dominguez M. C.; Courbis A. L.; Cox L.; Crescenzo M.; Custovic A.; Czarlewski W.; Dahlen S. E.; D'Amato G.; Dario C.; da Silva J.; Dauvilliers Y.; Darsow U.; De Blay F.; De Carlo G.; Dedeu T.; de Fatima Emerson M.; De Feo G.; De Vries G.; De Martino B.; Motta Rubini N. P.; Deleanu D.; Denburg J. A.; Devillier P.; Di Capua Ercolano S.; Di Carluccio N.; Didier A.; Dokic D.; Dominguez-Silva M. G.; Douagui H.; Dray G.; Dubakiene R.; Durham S. R.; Du Toit G.; Dykewicz M. S.; El-Gamal Y.; Eklund P.; Eller E.; Emuzyte R.; Farrell J.; Farsi A.; Ferreira de Mello J.; Ferrero J.; Fink-Wagner A.; Fiocchi A.; Fontaine J. F.; Forti S.; Fuentes-Perez J. M.; Galvez-Romero J. L.; Gamkrelidze A.; Garcia-Cobas C. Y.; Garcia-Cruz M. H.; Gemicioglu B.; Genova S.; Christoff G.; Gereda J. E.; Gerth van Wijk R.; Gomez R. M.; Gomez-Vera J.; Gonzalez Diaz S.; Gotua M.; Grisle I.; Guidacci M.; Guldemond N. A.; Gutter Z.; Guzman M. A.; Haahtela T.; Hajjam J.; Hernandez L.; Hourihane J. O. '. B.; Huerta-Villalobos Y. R.; Humbert M.; Iaccarino G.; Illario M.; Ispayeva Z.; Jares E. J.; Jassem E.; Johnston S. L.; Joos G.; Jung K. S.; Just J.; Jutel M.; Kaidashev I.; Kalayci O.; Kalyoncu A. F.; Karjalainen J.; Kardas P.; Keil T.; Keith P. K.; Khaitov M.; Khaltaev N.; Kleine-Tebbe J.; Kowalski M. L.; Kuitunen M.; Kull I.; Kupczyk M.; Krzych-Falta E.; Lacwik P.; Laune D.; Lauri D.; Lavrut J.; Le L. T. T.; Lessa M.; Levato G.; Li J.; Lieberman P.; Lipiec A.; Lipworth B.; Lodrup Carlsen K. C.; Louis R.; Lourenco O.; Luna-Pech J. A.; Magnan A.; Mahboub B.; Maier D.; Mair A.; Majer I.; Malva J.; Mandajieva E.; Manning P.; De Manuel Keenoy E.; Marshall G. D.; Masjedi M. R.; Maspero J. F.; Mathieu-Dupas E.; Matta Campos J. J.; Matos A. L.; Maurer M.; Mavale-Manuel S.; Mayora O.; Meco C.; Medina-Avalos M. A.; Melo-Gomes E.; Meltzer E. O.; Menditto E.; Mercier J.; Miculinic N.; Mihaltan F.; Milenkovic B.; Moda G.; Mogica-Martinez M. D.; Mohammad Y.; Momas I.; Montefort S.; Mora Bogado D.; Morais-Almeida M.; Morato-Castro F. F.; Mota-Pinto A.; Moura Santo P.; Munter L.; Muraro A.; Murray R.; Naclerio R.; Nadif R.; Nalin M.; Napoli L.; Namazova-Baranova L.; Neffen H.; Niedeberger V.; Nekam K.; Neou A.; Nieto A.; Nogueira-Silva L.; Nogues M.; Novellino E.; Nyembue T. D.; O'Hehir R. E.; Odzhakova C.; Ohta K.; Okamoto Y.; Okubo K.; Onorato G. L.; Ortega Cisneros M.; Ouedraogo S.; Pali-Scholl I.; Palkonen S.; Panzner P.; Park H. S.; Papi A.; Passalacqua G.; Paulino E.; Pawankar R.; Pedersen S.; Pepin J. L.; Pereira A. M.; Persico M.; Phillips J.; Picard R.; Pigearias B.; Pin I.; Pitsios C.; Plavec D.; Pohl W.; Popov T. A.; Portejoie F.; Potter P.; Pozzi A. C.; Price D.; Prokopakis E. P.; Puy R.; Pugin B.; Pulido Ross R. E.; Przemecka M.; Rabe K. F.; Raciborski F.; Rajabian-Soderlund R.; Reitsma S.; Ribeirinho I.; Rimmer J.; Rivero-Yeverino D.; Rizzo J. A.; Rizzo M. C.; Robalo-Cordeiro C.; Rodenas F.; Rodo X.; Rodriguez Gonzalez M.; Rodriguez-Manas L.; Rolland C.; Rodrigues Valle S.; Roman Rodriguez M.; Romano A.; Rodriguez-Zagal E.; Rolla G.; Roller-Wirnsberger R. E.; Romano M.; Rosado-Pinto J.; Rosario N.; Rottem M.; Ryan D.; Sagara H.; Salimaki J.; Sanchez-Borges M.; Sastre-Dominguez J.; Scadding G. K.; Schunemann H. J.; Scichilone N.; Schmid-Grendelmeier P.; Sarquis Serpa F.; Shamai S.; Sheikh A.; Sierra M.; Simons F. E. R.; Siroux V.; Sisul J. C.; Skrindo I.; Sole D.; Somekh D.; Sondermann M.; Sooronbaev T.; Sova M.; Sorensen M.; Sorlini M.; Spranger O.; Stellato C.; Stelmach R.; Stukas R.; Sunyer J.; Strozek J.; Szylling A.; Tebyrica J. N.; Thibaudon M.; To T.; Todo-Bom A.; Trama U.; Triggiani M.; Suppli Ulrik C.; Urrutia-Pereira M.; Valenta R.; Valero A.; Valiulis A.; Valovirta E.; van Eerd M.; van Ganse E.; van Hage M.; Vandenplas O.; Vezzani G.; Vasankari T.; Vatrella A.; Verissimo M. T.; Viart F.; Viegi G.; Vicheva D.; Vontetsianos T.; Wagenmann M.; Walker S.; Wallace D.; Wang D. Y.; Waserman S.; Werfel T.; Westman M.; Wickman M.; Williams D. M.; Williams S.; Wilson N.; Wright J.; Wroczynski P.; Yakovliev P.; Yawn B. P.; Yiallouros P. K.; Yusuf O. M.; Zar H. J.; Zhang L.; Zhong N.; Zernotti M. E.; Zhanat I.; Zidarn M.; Zuberbier T.; Zubrinich C.; Zurkuhlen A.
    Published: 2020

    Background: In allergic rhinitis, a relevant outcome providing information on the effectiveness of interventions is needed. In MASK-air (Mobile Airways Sentinel Network), a visual analogue scale (VAS) for work is used as a relevant outcome. This... more

     

    Background: In allergic rhinitis, a relevant outcome providing information on the effectiveness of interventions is needed. In MASK-air (Mobile Airways Sentinel Network), a visual analogue scale (VAS) for work is used as a relevant outcome. This study aimed to assess the performance of the work VAS work by comparing VAS work with other VAS measurements and symptom-medication scores obtained concurrently. Methods: All consecutive MASK-air users in 23 countries from 1 June 2016 to 31 October 2018 were included (14 189 users; 205 904 days). Geolocalized users self-assessed daily symptom control using the touchscreen functionality on their smart phone to click on VAS scores (ranging from 0 to 100) for overall symptoms (global), nose, eyes, asthma and work. Two symptom-medication scores were used: the modified EAACI CSMS score and the MASK control score for rhinitis. To assess data quality, the intra-individual response variability (IRV) index was calculated. Results: A strong correlation was observed between VAS work and other VAS. The highest levels for correlation with VAS work and variance explained in VAS work were found with VAS global, followed by VAS nose, eye and asthma. In comparison with VAS global, the mCSMS and MASK control score showed a lower correlation with VAS work. Results are unlikely to be explained by a low quality of data arising from repeated VAS measures. Conclusions: VAS work correlates with other outcomes (VAS global, nose, eye and asthma) but less well with a symptom-medication score. VAS work should be considered as a potentially useful AR outcome in intervention studies.

     
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    Source: BASE Selection for Comparative Literature
    Language: English
    Media type: Article (journal)
    Format: Online
    Subjects: asthma; MASK; rhiniti; score; visual analogue scale
    Rights:

    info:eu-repo/semantics/openAccess
  2. Mobile Technology in Allergic Rhinitis: Evolution in Management or Revolution in Health and Care?
    Author: Bousquet J.; Ansotegui I. J.; Anto J. M.; Arnavielhe S.; Bachert C.; Basagana X.; Bedard A.; Bedbrook A.; Bonini M.; Bosnic-Anticevich S.; Braido F.; Cardona V.; Czarlewski W.; Cruz A. A.; Demoly P.; De Vries G.; Dramburg S.; Mathieu-Dupas E.; Erhola M.; Fokkens W. J.; Fonseca J. A.; Haahtela T.; Hellings P. W.; Illario M.; Ivancevich J. C.; Jormanainen V.; Klimek L.; Kuna P.; Kvedariene V.; Laune D.; Larenas-Linnemann D.; Lourenco O.; Onorato G. L.; Matricardi P. M.; Melen E.; Mullol J.; Papadopoulos N. G.; Pfaar O.; Pham-Thi N.; Sheikh A.; Tan R.; To T.; Tomazic P. V.; Toppila-Salmi S.; Tripodi S.; Wallace D.; Valiulis A.; van Eerd M.; Ventura M. T.; Yorgancioglu A.; Zuberbier T.
    Published: 2019

    Smart devices and Internet-based applications (apps) are largely used in allergic rhinitis and may help to address some unmet needs. However, these new tools need to first of all be tested for privacy rules, acceptability, usability, and... more

     

    Smart devices and Internet-based applications (apps) are largely used in allergic rhinitis and may help to address some unmet needs. However, these new tools need to first of all be tested for privacy rules, acceptability, usability, and cost-effectiveness. Second, they should be evaluated in the frame of the digital transformation of health, their impact on health care delivery, and health outcomes. This review (1) summarizes some existing mobile health apps for allergic rhinitis and reviews those in which testing has been published, (2) discusses apps that include risk factors of allergic rhinitis, (3) examines the impact of mobile health apps in phenotype discovery, (4) provides real-world evidence for care pathways, and finally (5) discusses mobile health tools enabling the digital transformation of health and care, empowering citizens, and building a healthier society.

     
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    Source: BASE Selection for Comparative Literature
    Language: English
    Media type: Article (journal)
    Format: Online
    Subjects: App; Digital transformation of health; MASK; mHealth; Mobile technology; Rhiniti; Delivery of Health Care; Europe; Human; Mobile Application; Phenotype; Rhinitis; Allergic; Risk Factor; Telemedicine; Smartphone
  3. Positioning the principles of precision medicine in care pathways for allergic rhinitis and chronic rhinosinusitis – A EUFOREA-ARIA-EPOS-AIRWAYS ICP statement
    Author: Hellings P. W.; Fokkens W. J.; Bachert C.; Akdis C. A.; Bieber T.; Agache I.; Bernal-Sprekelsen M.; Canonica G. W.; Gevaert P.; Joos G.; Lund V.; Muraro A.; Onerci M.; Zuberbier T.; Pugin B.; Seys S. F.; Bousquet J.; Aberer W.; Akdis M.; Alobid I.; Ankri J.; Annesi-Maesano I.; Ansotegui I. J.; Anto J. M.; Arnavielhe S.; Arshad H.; Asarnoj A.; Avolio F.; Baiardini I.; Barbagallo M.; Barbara C.; Baroody F.; Bateman E. D.; Bedbrook A.; Beghe B.; Bel E. H.; Bennoor K. S.; Benson M.; Bergmann K. C.; Bewick M.; Bialoszewski A. Z.; Bindslev-Jensen C.; Bjermer L.; Blain H.; Blasi F.; Boner A. L.; Bonini M.; Bonini S.; Bosnic-Anticevich S.; Bosse I.; Bouchard J.; Boulet L. P.; Bourret R.; Bousquet P. J.; Braido F.; Briggs A. H.; Brightling C. E.; Brozek J.; Bucca C.; Buhl R.; Bunu C.; Burte E.; Bush A.; Caballero-Fonseca F.; Caimmi D. P.; Calderon M. A.; Camargos P. A.; Camuzat T.; Cardona V.; Carlsen K. H.; Carr W.; Carreiro-Martins P.; Carriazo A. M.; Casale T.; Cepeda Sarabia A. M.; Cervin A.; Cesari M.; Chatzi L.; Chavannes N. H.; Chiron R.; Chivato T.; Chkhartishvili E.; Chuchalin A. G.; Chung K. F.; Ciprandi G.; Cohen N.; Conzalez Diaz S.; Cox L.; Crooks G.; Cruz A. A.; Custovic A.; Dahl R.; Dahlen S. E.; Darsow U.; De Carlo G.; De Manuel Keenoy E.; de Sousa J. C.; De Vries G.; Dedeu T.; Deleanu D.; Demoly P.; Denburg J. A.; Devillier P.; Didier A.; Dinh-Xuan A. T.; Dokic D.; Douagui H.; Douglas R.; Dray G.; Du Toit G.; Dubakiene R.; Durham S. R.; Dykewicz M. S.; Eklund P.; El-Gamal Y.; Ellers E.; Emuzyte R.; Farrell J.; Fink Wagner A.; Fiocchi A.; Fletcher M.; Fonseca J.; Forastiere F.; Gaga M.; Gamkrelidze A.; Gemicioglu B.; Georgalas C.; Gereda J. E.; Goossens H.; Grisle I.; Guldemond N. A.; Gutter Z.; Guzman M. A.; Haahtela T.; Harvey R.; Heinrich J.; Hellquist-Dahl B.; Hopkins C.; Horak F.; Hourihane J. O.; Humbert M.; Hyland M.; Iaccarino G.; Illario M.; Jares E. J.; Jeandel C.; Johnston S. L.; Jonquet O.; Jung K. S.; Just J.; Jutel M.; Kaidashev I. P.; Kalayci O.; Kalogjera L.; Kalyoncu A. F.; Kardas P.; Keil T.; Keith P. K.; Kerkhof M.; Kern B.; Kerstjens H. A.; Khaitov M.; Khaltaev N.; Klimek L.; Kogevinas M.; Kolek V.; Koppelman G. H.; Kowalski M.; Kowalski M. L.; Kuitunen M.; Kull I.; Kuna P.; Kvedariene V.; Lambrecht B.; Larenas-Linnemann D.; Lau S.; Laune D.; Le L. T.; Li J.; Lieberman P.; Lipworth B.; Lodrup Carlsen K. C.; Louis R.; Lund V. J.; Lupinek C.; MacNee W.; Magar Y.; Magnan A.; Mahboub B.; Maier D.; Majer I.; Malva J.; Manning P.; Marshall G. D.; Masjedi M. R.; Mathieu-Dupas E.; Maurer M.; Mavale-Manuel S.; Melen E.; Melo-Gomes E.; Meltzer E. O.; Mercier J.; Merk H.; Miculinic N.; Mihaltan F.; Milenkovic B.; Millot-Keurinck J.; Mohammad Y.; Momas I.; Morais-Almeida M.; Mosges R.; Mullol J.; Murray R.; Naclerio R.; Nadif R.; Namazova-Baranova L.; Neffen H.; Nekam K.; Nieto A.; Nogues M.; Nyembue T. D.; O'Hehir R. E.; Ohta K.; Okamoto Y.; Okubo K.; Olive-Elias M.; Ouedraogo S.; Paggiaro P.; Pali-Scholl I.; Palkonen S.; Panzner P.; Papadopoulos N. G.; Papi A.; Park H. S.; Passalacqua G.; Niggemann B.; Nogueira-Silva L.; Pereira A. M.; Pfaar O.; Picard R.; Pigearias B.; Pin I.; Plavec D.; Pohl W.; Popov T. A.; Portejoie F.; Postma D.; Potter P.; Poulsen L. K.; Price D.; Rabe K. F.; Raciborski F.; Riechelmann H.; Robalo-Cordeiro C.; Roberts G.; Rodenas F.; Rodriguez-Manas L.; Rolland C.; Roman Rodriguez M.; Romano A.; Rosado-Pinto J.; Rosario N.; Rottem M.; Ryan D.; Samolinski B.; Sanchez-Borges M.; Sastre-Dominguez J.; Scadding G. K.; Schlosser R.; Schmid-Grendelmeier P.; Schunemann H. J.; Scichilone N.; Senior B.; Serrano E.; Sheikh A.; Shields M.; Simons F. E. R.; Siroux V.; Sisul J. C.; Skrindo I.; Smit H. A.; Sole D.; Sooronbaev T.; Spranger O.; Stellato C.; Stelmach R.; Sterk P. J.; Strandberg T.; Sunyer J.; Thijs C.; Thomas M.; Todo-Bom A.; Tomazic P. V.; Toskala E.; Triggiani M.; Valenta R.; Valero A.; Valiulis A.; Valovirta E.; van Eerd M.; van Ganse E.; van Hage M.; van Wick R. G.; Vandenplas O.; Varona L. L.; Vazankari T.; Vellas B.; Ventura M. T.; Vezzani G.; Viegi G.; Voegels R.; Vontetsianos T.; Wagenmann M.; Wahn U.; Walker S.; Wang D. Y.; Wang Y.; Werfel T.; Whalley B.; Wickman M.; Williams D. M.; Williams S.; Wilson N.; Wormald P. J.; Wright J.; Yawn B. P.; Yiallouros P. K.; Yorgancioglu A.; Young I.; Yusuf O. M.; Zaidi A.; Zar H. J.; Zernotti M. E.; Zhang L.; Zhong N.; Zidarn M.
    Published: 2017

    Precision medicine (PM) is increasingly recognized as the way forward for optimizing patient care. Introduced in the field of oncology, it is now considered of major interest in other medical domains like allergy and chronic airway diseases, which... more

     

    Precision medicine (PM) is increasingly recognized as the way forward for optimizing patient care. Introduced in the field of oncology, it is now considered of major interest in other medical domains like allergy and chronic airway diseases, which face an urgent need to improve the level of disease control, enhance patient satisfaction and increase effectiveness of preventive interventions. The combination of personalized care, prediction of treatment success, prevention of disease and patient participation in the elaboration of the treatment plan is expected to substantially improve the therapeutic approach for individuals suffering from chronic disabling conditions. Given the emerging data on the impact of patient stratification on treatment outcomes, European and American regulatory bodies support the principles of PM and its potential advantage over current treatment strategies. The aim of the current document was to propose a consensus on the position and gradual implementation of the principles of PM within existing adult treatment algorithms for allergic rhinitis (AR) and chronic rhinosinusitis (CRS). At the time of diagnosis, prediction of success of the initiated treatment and patient participation in the decision of the treatment plan can be implemented. The second-level approach ideally involves strategies to prevent progression of disease, in addition to prediction of success of therapy, and patient participation in the long-term therapeutic strategy. Endotype-driven treatment is part of a personalized approach and should be positioned at the tertiary level of care, given the efforts needed for its implementation and the high cost of molecular diagnosis and biological treatment.

     
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    Source: BASE Selection for Comparative Literature
    Language: English
    Media type: Article (journal)
    Format: Online
    Subjects: allergic rhiniti; integrated care pathway; precision medicine; rhinosinusitis