16 research outputs found

    ARIA‐EAACI care pathways for allergen immunotherapy in respiratory allergy

    Get PDF

    Erratum to: Scaling up strategies of the chronic respiratory disease programme of the European Innovation Partnership on Active and Healthy Ageing (Action Plan B3: Area 5)

    Get PDF

    ARIA-EAACI care pathways for allergen immunotherapy in respiratory allergy

    Get PDF

    ARIA digital anamorphosis: Digital transformation of health and care in airway diseases from research to practice

    Get PDF
    Digital 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

    ARIA-EAACI care pathways for allergen immunotherapy in respiratory allergy

    Get PDF
    Peer reviewe

    WAO consensus on DEfinition of Food Allergy SEverity (DEFASE)

    Get PDF
    Background: While several scoring systems for the severity of anaphylactic reactions have been developed, there is a lack of consensus on definition and categorisation of severity of food allergy disease as a whole. Aim: To develop an international consensus on the severity of food allergy (DEfinition of Food Allergy Severity, DEFASE) scoring system, to be used globally. Methods: Phase 1: We conducted a mixed-method systematic review (SR) of 11 databases for published and unpublished literature on severity of food allergy management and set up a panel of international experts. Phase 2: Based on our findings in Phase 1, we drafted statements for a two-round modified electronic Delphi (e-Delphi) survey. A purposefully selected multidisciplinary international expert panel on food allergy (n = 60) was identified and sent a structured questionnaire, including a set of statements on different domains of food allergy severity related to symptoms, health-related quality of life, and economic impact. Participants were asked to score their agreement on each statement on a 5-point Likert scale ranging from “strongly agree” to “strongly disagree”. Median scores and percentage agreements were calculated. Consensus was defined a priori as being achieved if 70% or more of panel members rated a statement as “strongly agree” to “agree” after the second round. Based on feedback, 2 additional online voting rounds were conducted. Results: We received responses from 92% of Delphi panel members in round 1 and 85% in round 2. Consensus was achieved on the overall score and in all of the 5 specific key domains as essential components of the DEFASE score. Conclusions: The DEFASE score is the first comprehensive grading of food allergy severity that considers not only the severity of a single reaction, but the whole disease spectrum. An international consensus has been achieved regarding a scoring system for food allergy disease. It offers an evaluation grid, which may help to rate the severity of food allergy. Phase 3 will involve validating the scoring system in research settings, and implementing it in clinical practice

    Exploration for Triatoma virus (TrV) infection in laboratory-reared triatomines of Latin America: a collaborative study

    No full text
    Triatoma virus (TrV) is a small, non-enveloped virus that has a +ssRNA genome and is currently classified under the Cripavirus genus of the Dicistroviridae family. TrV infects haematophagous triatomine insects (Hemiptera: Reduviidae), which are vectors of American Trypanosomiasis (Chagas disease). TrV can be transmitted through the horizontal fecal-oral route, and its infection causes either deleterious sublethal effects or even death of laboratory insect colonies. Various species of triatomines from different regions of Latin America are currently being reared in research laboratories, with little or no awareness of the presence of TrV; therefore, any biological conclusion drawn from experiments on insects infected with this virus is inherently affected by the side effects of its infection. In this study, we developed a mathematical model to estimate the sample size required for detecting a TrV infection. We applied this model to screen the infection in feces of triatomines belonging to insectaries from 13 Latin American countries, carrying out the identification of TrV by using reverse transcriptase PCR. TrV was detected in samples coming from Argentina, which is the country where several years ago the virus was first isolated from Triatoma infestans (Hemiptera: Reduviidae). Interestingly, several colonies from Brazil were also found infected with the virus. This positive result widens the TrV?s host range to a total of 14 triatomine species. Our findings suggest that many triatomine species distributed over a large region of South America may be naturally infected with TrV.Fil: Marti, Gerardo Anibal. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - la Plata. Centro de Estudios Parasitologicos y de Vectores. Universidad Nacional de la Plata. Facultad de Cs.naturales y Museo. Centro de Estudios Parasitologicos y de Vectores; ArgentinaFil: Echeverria, Maria Gabriela. Universidad Nacional de la Plata. Facultad de Ciencias Veterinarias. Departamento de Microbiología. Cátedra de Virología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Susevich, Maria Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - la Plata. Centro de Estudios Parasitologicos y de Vectores. Universidad Nacional de la Plata. Facultad de Cs.naturales y Museo. Centro de Estudios Parasitologicos y de Vectores; ArgentinaFil: Ceccarelli, Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - la Plata. Centro de Estudios Parasitologicos y de Vectores. Universidad Nacional de la Plata. Facultad de Cs.naturales y Museo. Centro de Estudios Parasitologicos y de Vectores; ArgentinaFil: Balsalobre, Agustin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - la Plata. Centro de Estudios Parasitologicos y de Vectores. Universidad Nacional de la Plata. Facultad de Cs.naturales y Museo. Centro de Estudios Parasitologicos y de Vectores; ArgentinaFil: Canale, Delmi Margarita. Centro de Referencia de Vectores, Coordinación Nacional de Control de Vectores, Pabellón Rawson-Hospital Colonia; ArgentinaFil: Stariolo, Raúl Luis. Centro de Referencia de Vectores, Coordinación Nacional de Control de Vectores, Pabellón Rawson-Hospital Colonia; ArgentinaFil: Guérin, Diego M. A.. Universidad del País Vasco; España. Consejo Superior de Investigaciones Cientificas; España. Universidad Politécnica de Valencia; EspañaFil: González Cifuentes, Nadia L.. Universidad de Los Andes; ColombiaFil: Guhl, Felipe. Universidad de Los Andes; ColombiaFil: Bacigalupo, Antonella. Universidad de Chile; ChileFil: Cattan, Pedro E.. Universidad de Chile; ChileFil: Garcıa, Alejandro. Secretaria Regional Ministerial de Salud de Coquimbo; ChileFil: Villacis, Anita G.. Pontificia Universidad Catolica del Ecuador; EcuadorFil: Grijalva, Mario J.. Pontificia Universidad Catolica del Ecuador; Ecuador. Ohio University; Estados UnidosFil: Solorzano, Elizabeth. Universidad de San Carlos; GuatemalaFil: Monroy, Carlota. Universidad de San Carlos; GuatemalaFil: Espinoza Blanco, Yrma. Universidad Nacional Mayor de San Marcos; PerúFil: Cordova Benzaquen, Eleazar. Universidad Nacional San Agustín de Arequipa; PerúFil: Ruelas llerena, Nancy. Universidad Nacional San Agustín de Arequipa; PerúFil: Guzmán loayza, Miriam. Dirección Regional de Salud Moquegua; PerúFil: Caceres, Abraham G.. Universidad Nacional Mayor de San Marcos; PerúFil: Vences Blanco, Mauro O.. Universidad Nacional Autónoma de México; MéxicoFil: Salazar Schettino, Paz María. Universidad Nacional Autónoma de México; MéxicoFil: Martínez Martínez, Ignacio. Universidad Nacional Autónoma de México; MéxicoFil: Espinoza Gutiérrez, Bertha. Universidad Nacional Autónoma de México; MéxicoFil: Mojoli, Andrés. Centro para el Desarrollo de la Investigación Científica. Asunción; ParaguayFil: Rojas de Arias, Antonieta. Centro para el Desarrollo de la Investigación Científica. Asunción; ParaguayFil: Feliciangeli, M. Dora. Universidad de Carabobo Maracay; VenezuelaFil: Rivera Mendoza, Pedro. Fundación para el Desarrollo; NicaraguaFil: Rozas Dennis, Gabriela Susana. Universidad Nacional del Sur; ArgentinaFil: Sánchez Eugenia, Rubén. Unidad de Biofísica; EspañaFil: Aguirre, Jon. Unidad de Biofísica; España. Fundación Biofísica Bizkaia; EspañaFil: Viguera, Ana R.. Unidad de Biofísica; EspañaFil: Hernádez Suárez, Carlos M.. Universidad de Colima; México. Unidad Monterrey; MéxicoFil: Vilchez, Susana. Universidad de Granada; EspañaFil: Osuna, Antonio. Universidad de Granada; EspañaFil: Gorla, David Eladio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Regional de Investigaciones Científicas y Transferencia Tecnológica de La Rioja. - Universidad Nacional de La Rioja. Centro Regional de Investigaciones Científicas y Transferencia Tecnológica de La Rioja. - Universidad Nacional de Catamarca. Centro Regional de Investigaciones Científicas y Transferencia Tecnológica de la Rioja. - Secretaria de Industria y Minería. Servicio Geológico Minero Argentino. Centro Regional de Investigaciones Científicas y Transferencia Tecnológica de La Rioja. - Provincia de La Rioja. Centro Regional de Investigaciones Científicas y Transferencia Tecnológica de La Rioja; ArgentinaFil: Mougabure Cueto, Gastón Adolfo. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Científicas y Técnicas para la Defensa. Centro de Investigación de Plagas e Insecticidas; ArgentinaFil: Esteban, Lidia. Universidad Industrial Santander; ColombiaFil: Angulo, Vıctor M.. Universidad Industrial Santander; ColombiaFil: Querido, Jailson F. B. Unidad de Biofísica; España. Fundación Biofísica Bizkaia; España. Universidad Nova de Lisboa; PortugalFil: Silva, Marcelo S.. Universidad Nova de Lisboa; PortugalFil: Marques, Tatiane. Universidade Federal do Triangulo Mineiro; BrasilFil: Anhe, Ana Carolina B. M.. Universidade Federal do Triangulo Mineiro; BrasilFil: Gomez Hernandez, Cesar. Universidade Federal do Triangulo Mineiro; BrasilFil: Ramirez, Luis E.. Universidade Federal do Triangulo Mineiro; BrasilFil: Rabinovich, Jorge Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - la Plata. Centro de Estudios Parasitologicos y de Vectores. Universidad Nacional de la Plata. Facultad de Cs.naturales y Museo. Centro de Estudios Parasitologicos y de Vectores; ArgentinaFil: Diotaiuti, Liléia. Centro de Pesquisas Rene Rachou-FIOCRUZ; BrasilFil: Guerin Aguilar , Diego Marcelo. Universidad del País Vasco; España. Unidad de Biofísica; España. Fundación Biofísica Bizkaia; Españ

    WAO consensus on DEfinition of Food Allergy SEverity (DEFASE)

    No full text
    Background: While several scoring systems for the severity of anaphylactic reactions have been developed, there is a lack of consensus on definition and categorisation of severity of food allergy disease as a whole. Aim: To develop an international consensus on the severity of food allergy (DEfinition of Food Allergy Severity, DEFASE) scoring system, to be used globally. Methods: Phase 1: We conducted a mixed-method systematic review (SR) of 11 databases for published and unpublished literature on severity of food allergy management and set up a panel of international experts. Phase 2: Based on our findings in Phase 1, we drafted statements for a two-round modified electronic Delphi (e-Delphi) survey. A purposefully selected multidisciplinary international expert panel on food allergy (n = 60) was identified and sent a structured questionnaire, including a set of statements on different domains of food allergy severity related to symptoms, health-related quality of life, and economic impact. Participants were asked to score their agreement on each statement on a 5-point Likert scale ranging from “strongly agree” to “strongly disagree”. Median scores and percentage agreements were calculated. Consensus was defined a priori as being achieved if 70% or more of panel members rated a statement as “strongly agree” to “agree” after the second round. Based on feedback, 2 additional online voting rounds were conducted. Results: We received responses from 92% of Delphi panel members in round 1 and 85% in round 2. Consensus was achieved on the overall score and in all of the 5 specific key domains as essential components of the DEFASE score. Conclusions: The DEFASE score is the first comprehensive grading of food allergy severity that considers not only the severity of a single reaction, but the whole disease spectrum. An international consensus has been achieved regarding a scoring system for food allergy disease. It offers an evaluation grid, which may help to rate the severity of food allergy. Phase 3 will involve validating the scoring system in research settings, and implementing it in clinical practice

    Real-world data using mHealth apps in rhinitis, rhinosinusitis and their multimorbidities

    No full text
    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
    corecore