Nuno Lourenço-Silva, Bernardo Sousa-Pinto, Antonio Bognanni, Matteo Martini, Michal Ordak, Giovanni Paoletti, Sara Gil-Mata, Rita Amaral, Anna Bedbrook, Patrizia Bonadonna, Luisa Brussino, G. Walter Canonica, João Coutinho-Almeida, Alvaro A. Cruz, Wienczyslawa Czarlewski, Mark Dykewicz, Mattia Giovannini, Bilun Gemicioglu, Juan Carlos Ivancevich, Ludger Klimek, Violeta Kvedariene, Desiree E. Larenas-Linnemann, Manuel Marques-Cruz, André Moreira, Marek Niedoszytko, Ana Margarida Pereira, Nikolaos G. Papadopoulos, Nhân Pham-Thi, Frederico S. Regateiro, Sanna K. Toppila-Salmi, Boleslaw Samolinski, Joaquin Sastre, Luís Taborda-Barata, Tuuli Thomander, Ilgım Vardaloğlu Koyuncu, Arunas Valiulis, Leticia de las Vecillas, Maria Teresa Ventura, Jolanta Walusiak-Skorupa, Yi-Kui Xiang, Oliver Pfaar, João A. Fonseca, Torsten Zuberbier, Holger J. Schünemann, Danilo di Bona, Jean Bousquet, Rafael José Vieira
<p>Randomised controlled trials (RCTs) are the paradigm for questions on causal inference but often face challenges in generalisability due to strict eligibility criteria. In allergic rhinitis (AR), this limitation is particularly relevant, with RCTs on AR displaying an overrepresentation of patients with severe disease and not providing sufficiently detailed information on the impact of comorbidities on treatment effectiveness [<span>1-4</span>]. Mobile health (mHealth) applications provide an opportunity to collect large-scale patient-reported data that can complement traditional trial evidence and broaden our understanding of treatment effectiveness in routine care [<span>5</span>]. However, to adequately use mHealth data for that purpose, approaches to adequately deal with confounding must be applied.</p><p>In this study, we aimed to use mHealth data to compare the short-term effectiveness of three common AR medication classes: oral antihistamines (OAH), intranasal corticosteroids (INCS), and fixed-combination intranasal antihistamine plus corticosteroid sprays (INAH+INCS). In particular, we aimed to compare these three medication classes on symptom relief within 24 h, while also exploring whether treatment effects differed according to the presence of self-reported comorbid asthma. To deal with confounding, we applied a target trial emulation approach [<span>6</span>].</p><p>A full description of the Methods is available on https://doi.org/10.5281/zenodo.17215607. We included adult users of the MASK-air app with self-reported AR. MASK-air is a validated app that allows daily reporting of AR symptoms on visual analogue scales (VAS) together with medication use. We included users who completed symptom assessments before and after taking one of the aforementioned medication classes, within a 24-h interval. Measurements less than 60 min apart were excluded. Outcomes were changes in global, nasal, ocular, and asthma-related symptoms (VAS, 0–100).</p><p>To address confounding, we used inverse probability of treatment weighting based on pre-treatment symptom scores, age, sex, ARIA severity score, and asthma status. We then estimated average treatment effects using Bayesian mixed-effects regression models, with patient and month of the year as random effects [<span>7, 8</span>].</p><p>A full description of the Results is available on https://doi.org/10.5281/zenodo.17215607. A total of 648 treatment days were analysed, with a median participant age of 37 years; 37.8% reported asthma. The median interval between pre- and post-medication entries was 480 min (IQR = 568). Most treatment days involved OAH (64.2%), followed by INCS (25.5%) and INAH+INCS (10.3%).</p><p>Compared with OAH, both INCS and INAH+INCS were associated with significantly greater improvements in global symptoms (mean VAS difference = −4.25 [95% CrI = −6.69, −1.15] and −7.27 [−10.30, −4.07], respectively) (Table 1). Both also improved ocular symptoms, while INCS showed superiority ove
{"title":"Assessment of the Effectiveness of Allergic Rhinitis Medications Using a Target Trial Emulation Approach Based on Mobile Health Data","authors":"Nuno Lourenço-Silva, Bernardo Sousa-Pinto, Antonio Bognanni, Matteo Martini, Michal Ordak, Giovanni Paoletti, Sara Gil-Mata, Rita Amaral, Anna Bedbrook, Patrizia Bonadonna, Luisa Brussino, G. Walter Canonica, João Coutinho-Almeida, Alvaro A. Cruz, Wienczyslawa Czarlewski, Mark Dykewicz, Mattia Giovannini, Bilun Gemicioglu, Juan Carlos Ivancevich, Ludger Klimek, Violeta Kvedariene, Desiree E. Larenas-Linnemann, Manuel Marques-Cruz, André Moreira, Marek Niedoszytko, Ana Margarida Pereira, Nikolaos G. Papadopoulos, Nhân Pham-Thi, Frederico S. Regateiro, Sanna K. Toppila-Salmi, Boleslaw Samolinski, Joaquin Sastre, Luís Taborda-Barata, Tuuli Thomander, Ilgım Vardaloğlu Koyuncu, Arunas Valiulis, Leticia de las Vecillas, Maria Teresa Ventura, Jolanta Walusiak-Skorupa, Yi-Kui Xiang, Oliver Pfaar, João A. Fonseca, Torsten Zuberbier, Holger J. Schünemann, Danilo di Bona, Jean Bousquet, Rafael José Vieira","doi":"10.1111/cea.70173","DOIUrl":"10.1111/cea.70173","url":null,"abstract":"<p>Randomised controlled trials (RCTs) are the paradigm for questions on causal inference but often face challenges in generalisability due to strict eligibility criteria. In allergic rhinitis (AR), this limitation is particularly relevant, with RCTs on AR displaying an overrepresentation of patients with severe disease and not providing sufficiently detailed information on the impact of comorbidities on treatment effectiveness [<span>1-4</span>]. Mobile health (mHealth) applications provide an opportunity to collect large-scale patient-reported data that can complement traditional trial evidence and broaden our understanding of treatment effectiveness in routine care [<span>5</span>]. However, to adequately use mHealth data for that purpose, approaches to adequately deal with confounding must be applied.</p><p>In this study, we aimed to use mHealth data to compare the short-term effectiveness of three common AR medication classes: oral antihistamines (OAH), intranasal corticosteroids (INCS), and fixed-combination intranasal antihistamine plus corticosteroid sprays (INAH+INCS). In particular, we aimed to compare these three medication classes on symptom relief within 24 h, while also exploring whether treatment effects differed according to the presence of self-reported comorbid asthma. To deal with confounding, we applied a target trial emulation approach [<span>6</span>].</p><p>A full description of the Methods is available on https://doi.org/10.5281/zenodo.17215607. We included adult users of the MASK-air app with self-reported AR. MASK-air is a validated app that allows daily reporting of AR symptoms on visual analogue scales (VAS) together with medication use. We included users who completed symptom assessments before and after taking one of the aforementioned medication classes, within a 24-h interval. Measurements less than 60 min apart were excluded. Outcomes were changes in global, nasal, ocular, and asthma-related symptoms (VAS, 0–100).</p><p>To address confounding, we used inverse probability of treatment weighting based on pre-treatment symptom scores, age, sex, ARIA severity score, and asthma status. We then estimated average treatment effects using Bayesian mixed-effects regression models, with patient and month of the year as random effects [<span>7, 8</span>].</p><p>A full description of the Results is available on https://doi.org/10.5281/zenodo.17215607. A total of 648 treatment days were analysed, with a median participant age of 37 years; 37.8% reported asthma. The median interval between pre- and post-medication entries was 480 min (IQR = 568). Most treatment days involved OAH (64.2%), followed by INCS (25.5%) and INAH+INCS (10.3%).</p><p>Compared with OAH, both INCS and INAH+INCS were associated with significantly greater improvements in global symptoms (mean VAS difference = −4.25 [95% CrI = −6.69, −1.15] and −7.27 [−10.30, −4.07], respectively) (Table 1). Both also improved ocular symptoms, while INCS showed superiority ove","PeriodicalId":10207,"journal":{"name":"Clinical and Experimental Allergy","volume":"56 2","pages":"176-179"},"PeriodicalIF":5.2,"publicationDate":"2025-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12879269/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145480981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
John Coveney, Tom Roberts, Sylvia Stoianova, Nicholas Sargant
{"title":"Airway, Breathing or Circulation Failure in Fatal Food Anaphylaxis: A Nationally Representative Case Series.","authors":"John Coveney, Tom Roberts, Sylvia Stoianova, Nicholas Sargant","doi":"10.1111/cea.70175","DOIUrl":"https://doi.org/10.1111/cea.70175","url":null,"abstract":"","PeriodicalId":10207,"journal":{"name":"Clinical and Experimental Allergy","volume":" ","pages":""},"PeriodicalIF":5.2,"publicationDate":"2025-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145457780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Laura Romero-Sánchez, Francisco Gude, Arturo González-Quintela, Manuela Alonso-Sampedro, Óscar Lado-Baleato, Carmen Fernández-Merino, Flora Miranda-Pena, Carmen Vidal
{"title":"Uncovering Mite Sensitisation: Epidemiological Insights From a General Population Study.","authors":"Laura Romero-Sánchez, Francisco Gude, Arturo González-Quintela, Manuela Alonso-Sampedro, Óscar Lado-Baleato, Carmen Fernández-Merino, Flora Miranda-Pena, Carmen Vidal","doi":"10.1111/cea.70174","DOIUrl":"https://doi.org/10.1111/cea.70174","url":null,"abstract":"","PeriodicalId":10207,"journal":{"name":"Clinical and Experimental Allergy","volume":" ","pages":""},"PeriodicalIF":5.2,"publicationDate":"2025-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145451050","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}