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Your search keyword '"Karl‐C. Bergmann"' showing total 3 results
Start Over Author "Karl‐C. Bergmann" Topic mhealth
3 results on '"Karl‐C. Bergmann"'

1. Real‐world data using mHealth apps in rhinitis, rhinosinusitis and their multimorbidities

Author

Bernardo Sousa‐Pinto, Aram Anto, Markus Berger, Stephanie Dramburg, Oliver Pfaar, Ludger Klimek, Marek Jutel, Wienczyslawa Czarlewski, Anna Bedbrook, Arunas Valiulis, Ioana Agache, Rita Amaral, Ignacio J. Ansotegui, Katharina Bastl, Uwe Berger, Karl C. Bergmann, Sinthia Bosnic‐Anticevich, Fulvio Braido, Luisa Brussino, Victoria Cardona, Thomas Casale, G. Walter Canonica, Lorenzo Cecchi, Denis Charpin, Tomás Chivato, Derek K. Chu, Cemal Cingi, Elisio M. Costa, Alvaro A. Cruz, Philippe Devillier, Stephen R. Durham, Motohiro Ebisawa, Alessandro Fiocchi, Wytske J. Fokkens, Bilun Gemicioğlu, Maia Gotua, Maria‐Antonieta Guzmán, Tari Haahtela, Juan Carlos Ivancevich, Piotr Kuna, Igor Kaidashev, Musa Khaitov, Violeta Kvedariene, Désirée E. Larenas‐Linnemann, Brian Lipworth, Daniel Laune, Paolo M. Matricardi, Mario Morais‐Almeida, Joaquim Mullol, Robert Naclerio, Hugo Neffen, Kristoff Nekam, Marek Niedoszytko, Yoshitaka Okamoto, Nikolaos G. Papadopoulos, Hae‐Sim Park, Giovanni Passalacqua, Vincenzo Patella, Simone Pelosi, Nhân Pham‐Thi, Ted A. Popov, Frederico S. Regateiro, Sietze Reitsma, Monica Rodriguez‐Gonzales, Nelson Rosario, Philip W. Rouadi, Boleslaw Samolinski, Ana Sá‐Sousa, Joaquin Sastre, Aziz Sheikh, Charlotte Suppli Ulrik, Luis Taborda‐Barata, Ana Todo‐Bom, Peter Valentin Tomazic, Sanna Toppila‐Salmi, Salvatore Tripodi, Ioanna Tsiligianni, Erkka Valovirta, Maria Teresa Ventura, Antonio A. Valero, Rafael José Vieira, Dana Wallace, Susan Waserman, Sian Williams, Arzu Yorgancioglu, Luo Zhang, Mihaela Zidarn, Jaron Zuberbier, Heidi Olze, Josep M. Antó, Torsten Zuberbier, João A. Fonseca, and Jean Bousquet

Subjects
allergic rhinitis, app, chronic rhinosinusitis, mHealth, Immunologic diseases. Allergy, RC581-607
Abstract

Abstract 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.

Published
2022
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2. Relevance of individual bronchial symptoms for asthma diagnosis and control in patients with rhinitis: A MASK‐air study

Author

Bernardo Sousa‐Pinto, Gilles Louis, Rafael J. Vieira, Wienczyslawa Czarlewski, Josep M. Anto, Rita Amaral, Ana Sá‐Sousa, Luisa Brussino, G. Walter Canonica, Claudia Chaves Loureiro, Alvaro A. Cruz, Bilun Gemicioglu, Tari Haahtela, Maciej Kupczyk, Violeta Kvedariene, Desirée E. Larenas‐Linnemann, Nhân Pham‐Thi, Francesca Puggioni, Frederico S. Regateiro, Jan Romantowski, Joaquin Sastre, Nicola Scichilone, Luis Taborda‐Barata, Maria Teresa Ventura, Ioana Agache, Anna Bedbrook, Alida Benfante, Karl C. Bergmann, Sinthia Bosnic‐Anticevich, Matteo Bonini, Louis‐Philippe Boulet, Guy Brusselle, Roland Buhl, Lorenzo Cecchi, Denis Charpin, Elisio M. Costa, Stefano Del Giacco, Marek Jutel, Ludger Klimek, Piotr Kuna, Daniel Laune, Mika Makela, Mario Morais‐Almeida, Rachel Nadif, Marek Niedoszytko, Nikolaos G. Papadopoulos, Alberto Papi, Oliver Pfaar, Daniela Rivero‐Yeverino, Nicolas Roche, Boleslaw Samolinski, Mohamed H. Shamji, Aziz Sheikh, Charlotte Suppli Ulrik, Omar S. Usmani, Arunas Valiulis, Arzu Yorgancioglu, Torsten Zuberbier, Joao A. Fonseca, Benoit Pétré, Renaud Louis, Jean Bousquet, and MASK‐air think tank

Subjects
asthma, diagnosis, dyspnea, mHealth, wheezing, Immunologic diseases. Allergy, RC581-607
Abstract

Abstract Rationale It is unclear how each individual asthma symptom is associated with asthma diagnosis or control. Objectives To assess the performance of individual asthma symptoms in the identification of patients with asthma and their association with asthma control. Methods In this cross‐sectional study, we assessed real‐world data using the MASK‐air® 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 Results We 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. Conclusions Wheezing 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.

Published
2024
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3. Digitally‐enabled, patient‐centred care in rhinitis and asthma multimorbidity: The ARIA‐MASK‐air® approach

Author

Jean Bousquet, Josep M. Anto, Bernardo Sousa‐Pinto, Wienczyslawa Czarlewski, Anna Bedbrook, Tari Haahtela, Ludger Klimek, Oliver Pfaar, Piotr Kuna, Maciej Kupczyk, Frederico S. Regateiro, Boleslaw Samolinski, Arunas Valiulis, Arzu Yorgancioglu, Sylvie Arnavielhe, Xavier Basagaña, Karl C. Bergmann, Sinthia Bosnic‐Anticevich, Luisa Brussino, G. Walter Canonica, Victoria Cardona, Lorenzo Cecchi, Claudia Chaves‐Loureiro, Elisio Costa, Alvaro A. Cruz, Bilun Gemicioglu, Wytske J. Fokkens, Juan Carlos Ivancevich, Helga Kraxner, Violeta Kvedariene, Désirée E. Larenas‐Linnemann, Daniel Laune, Renaud Louis, Michael Makris, Marcus Maurer, Erik Melén, Yann Micheli, Mario Morais‐Almeida, Joaquim Mullol, Marek Niedoszytko, Yoshitaka Okamoto, Nikolaos G. Papadopoulos, Vincenzo Patella, Nhân Pham‐Thi, Philip W. Rouadi, Joaquin Sastre, Nicola Scichilone, Aziz Sheikh, Mikhail Sofiev, Luis Taborda‐Barata, Sanna Toppila‐Salmi, Ioanna Tsiligianni, Erkka Valovirta, Maria Teresa Ventura, Rafael José Vieira, Mihaela Zidarn, Rita Amaral, Ignacio J. Ansotegui, Annabelle Bédard, Samuel Benveniste, Michael Bewick, Carsten Bindslev‐Jensen, Hubert Blain, Matteo Bonini, Rodolphe Bourret, Fulvio Braido, Pedro Carreiro‐Martins, Denis Charpin, Ivan Cherrez‐Ojeda, Tomas Chivato, Derek K. Chu, Cemal Cingi, Stefano DelGiacco, Frédéric deBlay, Philippe Devillier, Govert DeVries, Maria Doulaptsi, Virginie Doyen, Gérard Dray, Jean‐François Fontaine, R. Maximiliano Gomez, Jan Hagemann, Enrico Heffler, Maja Hofmann, Ewa Jassem, Marek Jutel, Thomas Keil, Vicky Kritikos, Inger Kull, Marek Kulus, Olga Lourenço, Eve Mathieu‐Dupas, Enrica Menditto, Ralph Mösges, Ruth Murray, Rachel Nadif, Hugo Neffen, Stefania Nicola, Robyn O’Hehir, Heidi Olze, Yuliia Palamarchuk, Jean‐Louis Pépin, Benoit Pétré, Robert Picard, Constantinos Pitsios, Francesca Puggioni, Santiago Quirce, Filip Raciborski, Sietze Reitsma, Nicolas Roche, Monica Rodriguez‐Gonzalez, Jan Romantowski, Ana Sá‐Sousa, Faradiba S. Serpa, Marine Savouré, Mohamed H. Shamji, Milan Sova, Annette Sperl, Cristiana Stellato, Ana Todo‐Bom, Peter Valentin Tomazic, Olivier Vandenplas, Michiel VanEerd, Tuula Vasankari, Frédéric Viart, Susan Waserman, Joao A. Fonseca, and Torsten Zuberbier

Subjects
asthma, digital, MASK‐air, mHealth, rhinitis, Immunologic diseases. Allergy, RC581-607
Abstract

Abstract MASK‐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.

Published
2023
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