Release of Mast Cell Tryptase into Saliva: A Tool to Diagnose Food Allergy by a Mucosal Challenge Test?

Background: Our aim was to examine whether measurement of the saliva mast cell tryptase (MCT) concentrations before and after a mucosal challenge test with the offending food would be helpful in diagnosing food allergy. Methods: We performed a retrospective analysis of 44 food challenge tests performed in 38 patients between 2006 and 2009. Patients with a suspected history of food allergy chewed the food until they developed symptoms or until the amount of time known from the patients' history to usually be required for the provocation of symptoms had passed. In 5 patients, saliva samples for the measurement of MCT were collected at minutes 0, 1, 4, 8, 11, and 16 after the first onset of symptoms. The remainder of the patients only had samples taken before chewing and 4 min after the end of the test period. Results: During repeated measurements, MCT peaked about 4 min after the onset of symptoms (p = 0.028). During 33 of the 44 tests (75.0%), we observed oral symptoms during testing; after 25 of the 33 (75.8%) tests evoking symptoms, the saliva MCT concentration increased. The MCT increase was negative in all other tests where no oral symptoms could be provoked. Conclusions: The measurement of saliva MCT 4 min after the onset of symptoms may be helpful to diagnose food allergy. Because of numerous confounding variables, however, a negative saliva MCT increase does not exclude food allergy. Copyright (C) 2011 S. Karger AG, Base

Advanced programming of cardiac resynchronisation therapy under echocardiographic examination: is it feasible and efficient?

In patients with heart failure treated with cardiac resynchronisation therapy (CRT), proper programming of the device can enhance the benefits of stimulation. Nowadays, adjustment of atrio-ventricular delay (AVD) is usually guided by echocardiography and performed only in resting conditions. The issue of optimal CRT programming during exercise, and the decision regarding the use of rate-adaptive pacing and rate-adaptive AVD algorithm during CRT, are largely empirical. We present a case report, and we indicate that programming of rate-adaptive pacing and rate-adaptive AVD algorithm on the basis of extended echocardiographic evaluation can further benefit the individual patient

Comparative analysis of IL6 and IL6 receptor gene polymorphisms in mastocytosis

Mastocytosis is a rare disease with reported high interleukin-6 (IL6) levels influencing disease severity. The present study investigated polymorphisms within the genes that encode IL6 and its receptor (IL6R) in relation to mastocytosis development in a case-control design. Analysis of the IL6R Asp358Ala polymorphism showed that carriers of the AA genotype had a 2.5-fold lower risk for mastocytosis than those with the AC or CC genotypes. No association with mastocytosis was found for the IL6-174G/C polymorphism, however, it may influence the effect of IL6R polymorphism. To the best of our knowledge this is the first study analysing IL6/IL6R polymorphisms in mastocytosis

Digital Health Europe (DHE) Twinning on Severe Asthma—Kick-off Meeting Report

info:eu-repo/semantics/publishedVersio

Adherence to inhaled corticosteroids and long-acting β2-agonists in asthma:A MASK-air study

Introduction Adherence to controller medication is a major problem in asthma management, being difficult to assess and tackle. mHealth apps can be used to assess adherence. We aimed to assess the adherence to inhaled corticosteroids+long-acting β2-agonists (ICS+LABA) in users of the MASK-air® app, comparing the adherence to ICS+formoterol (ICS+F) with that to ICS+other LABA. Materials and methods We analysed complete weeks of MASK-air® data (2015-2022; 27 countries) from patients with self-reported asthma and ICS+LABA use. We compared patients reporting ICS+F versus ICS+other LABA on adherence levels, symptoms and symptom-medication scores. We built regression models to assess whether adherence to ICS+LABA was associated with asthma control or short-acting beta-agonist (SABA) use. Sensitivity analyses were performed considering the weeks with no more than one missing day. Results In 2598 ICS+LABA users, 621 (23.9%) reported 4824 complete weeks and 866 (33.3%) reported weeks with at most one missing day. Higher adherence (use of medication ≥80% of weekly days) was observed for ICS+other LABA (75.1%) when compared to ICS+F (59.3%), despite both groups displaying similar asthma control and work productivity. The ICS+other LABA group was associated with more days of SABA use than the ICS+F group (median=71.4% versus 57.1% days). Each additional weekly day of ICS+F use was associated with a 4.1% less risk in weekly SABA use (95%CI=-6.5;-1.6%;p=0.001). For ICS+other LABA, the percentage was 8.2 (95%CI=-11.6;-5.0%;p<0.001). Conclusions In asthma patients adherent to the MASK-air app, adherence to ICS+LABA was high. ICS+F users reported lower adherence but also a lower SABA use and a similar level of control

Influences of polymorphic variants of DRD2 and SLC6A3 genes, and their combinations on smoking in Polish population

<p>Abstract</p> <p>Background</p> <p>Polymorphisms in dopaminergic genes may influence cigarette smoking by their potential impact on dopamine reward pathway function. <it>A1 </it>allele of <it>DRD2 </it>gene is associated with a reduced dopamine D2 receptor density, and it has been hypothesised that <it>A1 </it>carriers are more vulnerable to smoking. In turn, the 9-repeat allele of dopamine transporter gene (<it>SLC6A3</it>) has been associated with a substantial reduction in dopamine transporter, what might result in the higher level of dopamine in the synaptic cleft, and thereby protective role of this allele from smoking. In the present study we investigated whether polymorphic variants of <it>DRD2 </it>and <it>SLC6A3 </it>genes and their combinations are associated with the smoking habit in the Polish population.</p> <p>Methods</p> <p>Genotyping for <it>Taq</it>I<it>A </it>polymorphism of <it>DRD2 </it>and <it>SLC6A3 </it>VNTR polymorphism was performed in 150 ever-smokers and 158 never-smokers. The association between the smoking status and smoking phenotypes (related to the number of cigarettes smoked daily and age of starting regular smoking), and genotype/genotype combinations was expressed by ORs together with 95% CI. Alpha level of 0.05, with Bonferroni correction whenever appropriate, was used for statistical significance.</p> <p>Results</p> <p>At the used alpha levels no association between <it>DRD2 </it>and <it>SLC6A</it>3 genotypes and smoking status was found. However, <it>A1 </it>allele carriers reported longer abstinence periods on quitting attempts than non-carriers (p = 0.049). The ORs for heavier smoking were 0.38 (0.17-0.88), p = 0.023, and 0.39 (0.17-0.88), p = 0.021 in carriers compared to non-carriers of <it>A1 </it>or <it>*9 </it>allele, respectively, and the OR for this smoking phenotype was 8.68 (2.47-30.46), p = 0.0005 for the <it>A1</it>-/<it>9</it>- genotype combination, relatively to the <it>A1</it>+/<it>9</it>+. Carriers of <it>*9 </it>allele of <it>SLC6A3 </it>had over twice a lower risk to start smoking before the age of 20 years compared to non-carriers (sex-adjusted OR = 0.44; 95% CI: 0.22-0.89; p = 0.0017), and subjects with <it>A1-/9- </it>genotype combination had a higher risk for staring regular smoking before the age of 20 years in comparison to subjects with <it>A1+/9+ </it>genotype combination (sex-adjusted OR = 3.79; 95% CI:1.03-13.90; p = 0.003).</p> <p>Conclusion</p> <p>Polymorphic variants of <it>DRD2 </it>and <it>SLC6A3 </it>genes may influence some aspects of the smoking behavior, including age of starting regular smoking, the level of cigarette consumption, and periods of abstinence. Further large sample studies are needed to verify this hypothesis.</p

Mast Cell Diseases in Practice and Research: Issues and Perspectives Raised by Patients and Their Recommendations to the Scientific Community and Beyond

Background: Since 2010, patients and physicians have collaborated to understand unmet needs of patients with mast cell diseases, incorporating mastocytosis and mast cell activation disorders, which include mast cell activation syndromes. Objective: This Open Innovation in Science project aims to expand understanding of the needs of patients affected by mast cell diseases, and encourage global communication among patient advocacy groups, physicians, researchers, industry, and government. A major aim is to support the scientific community's efforts to improve diagnosis, management, therapy, and patients’ quality of life by addressing unmet needs. Methods: In collaboration with mast cell disease specialists, 13 patient advocacy groups from 12 countries and regions developed lists of top patient needs. A core team of leaders from patient advocacy groups collected and analyzed the data and proposed possible actions to address patient needs. Results: Findings identified similarities and differences among participating countries in unmet needs between patients with mastocytosis and those with mast cell activation syndromes. Issues emphasized struggles relating to the nature and rarity of mast cell diseases, their impact on quality of life, the diagnostic process, access to appropriate care, more effective treatment, and the need for research. Conclusions: Solutions vary across countries because situations differ, in particular regarding the existence of and access to centers of excellence and reference centers. Multifaceted mast cell activation syndrome barriers necessitate innovative approaches to improve access to appropriate care. The outcomes of this project should greatly support scientists and clinicians in their efforts to improve diagnosis, management, and treatment of patients with mastocytosis and mast cell activation disorders.The authors thank Tania Bray, Jan Hempstead, Heather Mayne, Joanne Mulder-Brambleby, and Irene Wilson for their supporting contributions, and all patients and families affected by MCDs, who shared their needs and concerns for development of this project. Authors involved in study conception and design were P. Valent, S.V. Jennings, C.C. Finnerty, J.S. Hobart, M. Martín-Martínez, K.A. Sinclair, V.M. Slee, J. Agopian, C. Akin, I. Álvarez-Twose, P. Bonadonna, A.A. Bowman, K. Brockow, H. Bumbea, C. de Haro, J.S. Fok, K. Hartmann, N. Hegmann, O. Hermine, M. Kalisiak, C.H. Katelaris, J. Kurz, P. Marcis, D. Mayne, D. Mendoza, A. Moussy, G. Mudretzkyj, N. Nidelea Vaia, M. Niedoszytko, H. Oude Elberink, A. Orfao, D.H. Radia, S. Rosenmeier, E. Ribada, W. Schinhofen, J. Schwaab, F. Siebenhaar, M. Triggiani, G. Tripodo, R. Velazquez, Y. Wielink, F. Wimazal, T. Yigit, and C. Zubrinich. Authors involved in acquisition and review of data were S.V. Jennings, C.C. Finnerty, J.S. Hobart, M. Martín-Martínez, K.A. Sinclair, V.M. Slee, J. Agopian, C. Akin, I. Álvarez-Twose, P. Bonadonna, A.A. Bowman, K. Brockow, H. Bumbea, C. de Haro, J.S. Fok, K. Hartmann, N. Hegmann, O. Hermine, M. Kalisiak, C.H. Katelaris, J. Kurz, P. Marcis, D. Mayne, D. Mendoza, A. Moussy, G. Mudretzkyj, N. Nidelea Vaia, M. Niedoszytko, H. Oude Elberink, A. Orfao, D.H. Radia, S. Rosenmeier, E. Ribada, W. Schinhofen, J. Schwaab, F. Siebenhaar, M. Triggiani, G. Tripodo, R. Velazquez, Y. Wielink, F. Wimazal, T. Yigit, C. Zubrinich, and P. Valent. The Core Group (analysis and interpretation of data and drafting of the manuscript) include S.V. Jennings, C.C. Finnerty, J.S. Hobart, M. Martín-Martínez, K.A. Sinclair, and V.M. Slee. Critical revision was performed by S.V. Jennings, C.C. Finnerty, J.S. Hobart, M. Martín-Martínez, K.A. Sinclair, V.M. Slee, J. Agopian, C. Akin, I. Álvarez-Twose, P. Bonadonna, A.A. Bowman, K. Brockow, H. Bumbea, C. de Haro, J.S. Fok, K. Hartmann, N. Hegmann, O. Hermine, M. Kalisiak, C.H. Katelaris, J. Kurz, P. Marcis, D. Mayne, D. Mendoza, A. Moussy, G. Mudretzkyj, N. Nidelea Vaia, M. Niedoszytko, H. Oude Elberink, A. Orfao, D.H. Radia, S. Rosenmeier, E. Ribada, W. Schinhofen, J. Schwaab, F. Siebenhaar, M. Triggiani, G. Tripodo, R. Velazquez, Y. Wielink, F Wimazal, T. Yigit, C. Zubrinich, and P. Valent

Patient-centered digital biomarkers for allergic respiratory diseases and asthma: The ARIA-EAACI approach – ARIA-EAACI Task Force Report

Biomarkers for the diagnosis, treatment and follow-up of patients with rhinitis and/or asthma are urgently needed. Although some biologic biomarkers exist in specialist care for asthma, they cannot be largely used in primary care. There are no validated biomarkers in rhinitis or allergen immunotherapy (AIT) that can be used in clinical practice. The digital transformation of health and health care (including mHealth) places the patient at the center of the health system and is likely to optimize the practice of allergy. Allergic Rhinitis and its Impact on Asthma (ARIA) and EAACI (European Academy of Allergy and Clinical Immunology) developed a Task Force aimed at proposing patient-reported outcome measures (PROMs) as digital biomarkers that can be easily used for different purposes in rhinitis and asthma. It first defined control digital biomarkers that should make a bridge between clinical practice, randomized controlled trials, observational real-life studies and allergen challenges. Using the MASK-air app as a model, a daily electronic combined symptom-medication score for allergic diseases (CSMS) or for asthma (e-DASTHMA), combined with a monthly control questionnaire, was embedded in a strategy similar to the diabetes approach for disease control. To mimic real-life, it secondly proposed quality-of-life digital biomarkers including daily EQ-5D visual analogue scales and the bi-weekly RhinAsthma Patient Perspective (RAAP). The potential implications for the management of allergic respiratory diseases were proposed

Consistent Trajectories of Rhinitis Control and Treatment in 16,177 Weeks: The MASK‐air® Longitudinal Study

Introduction: Data from mHealth apps can provide valuable information on rhinitis control and treatment patterns. However, in MASK-air®, these data have only been analyzed cross-sectionally, without considering the changes of symptoms over time. We analyzed data from MASK-air® longitudinally, clustering weeks according to reported rhinitis symptoms. Methods: We analyzed MASK-air® data, assessing the weeks for which patients had answered a rhinitis daily questionnaire on all 7 days. We firstly used k-means clustering algorithms for longitudinal data to define clusters of weeks according to the trajectories of reported daily rhinitis symptoms. Clustering was applied separately for weeks when medication was reported or not. We compared obtained clusters on symptoms and rhinitis medication patterns. We then used the latent class mixture model to assess the robustness of results. Results: We analyzed 113,239 days (16,177 complete weeks) from 2590 patients (mean age ± SD = 39.1 ± 13.7 years). The first clustering algorithm identified ten clusters among weeks with medication use: seven with low variability in rhinitis control during the week and three with highly-variable control. Clusters with poorly-controlled rhinitis displayed a higher frequency of rhinitis co-medication, a more frequent change of medication schemes and more pronounced seasonal patterns. Six clusters were identified in weeks when no rhinitis medication was used, displaying similar control patterns. The second clustering method provided similar results. Moreover, patients displayed consistent levels of rhinitis control, reporting several weeks with similar levels of control. Conclusions: We identified 16 patterns of weekly rhinitis control. Co-medication and medication change schemes were common in uncontrolled weeks, reinforcing the hypothesis that patients treat themselves according to their symptoms.info:eu-repo/semantics/publishedVersio

Comparison of Rhinitis Treatments Using MASK-air ® Data and Considering the Minimal Important Difference

Background: Different treatments exist for allergic rhinitis (AR), including pharmacotherapy and allergen immunotherapy (AIT), but they have not been compared using direct patient data (i.e., "real-world data"). We aimed to compare AR pharmacological treatments on (i) daily symptoms, (ii) frequency of use in co-medication, (iii) visual analogue scales (VASs) on allergy symptom control considering the minimal important difference (MID) and (iv) the effect of AIT. Methods: We assessed the MASK-air® app data (May 2015-December 2020) by users self-reporting AR (16-90 years). We compared eight AR medication schemes on reported VAS of allergy symptoms, clustering data by the patient and controlling for confounding factors. We compared (i) allergy symptoms between patients with and without AIT and (ii) different drug classes used in co-medication. Results: We analysed 269,837 days from 10,860 users. Most days (52.7%) involved medication use. Median VAS levels were significantly higher in co-medication than in monotherapy (including the fixed combination azelastine-fluticasone) schemes. In adjusted models, azelastine-fluticasone was associated with lower average VAS global allergy symptoms than all other medication schemes, while the contrary was observed for oral corticosteroids. AIT was associated with a decrease in allergy symptoms in some medication schemes. A difference larger than the MID compared to no treatment was observed for oral steroids. Azelastine-fluticasone was the drug class with the lowest chance of being used in co-medication (adjusted OR = 0.75; 95% CI = 0.71-0.80). Conclusion: Median VAS levels were higher in co-medication than in monotherapy. Patients with more severe symptoms report a higher treatment, which is currently not reflected in guidelines.info:eu-repo/semantics/publishedVersio