The Role of Mobile Health Technologies in Stratifying Patients for AIT and Its Cessation: The ARIA-EAACI Perspective

Hot topics in allergen immunotherapy, 2023: Current status and future perspective

The importance of allergen immunotherapy (AIT) is multifaceted, encompassing both clinical and quality-of-life improvements and cost-effectiveness in the long term. Key mechanisms of allergen tolerance induced by AIT include changes in memory type allergen-specific T- and B-cell responses towards a regulatory phenotype with decreased Type 2 responses, suppression of allergen-specific IgE and increased IgG1 and IgG4, decreased mast cell and eosinophil numbers in allergic tissues and increased activation thresholds. The potential of novel patient enrolment strategies for AIT is taking into account recent advances in biomarkers discoveries, molecular allergy diagnostics and mobile health applications contributing to a personalized approach enhancement that can increase AIT efficacy and compliance. Artificial intelligence can help manage and interpret complex and heterogeneous data, including big data from omics and non-omics research, potentially predict disease subtypes, identify biomarkers and monitor patient responses to AIT. Novel AIT preparations, such as synthetic compounds, innovative carrier systems and adjuvants, are also of great promise. Advances in clinical trial models, including adaptive, complex and hybrid designs as well as real-world evidence, allow more flexibility and cost reduction. The analyses of AIT cost-effectiveness show a clear long-term advantage compared to pharmacotherapy. Important research questions, such as defining clinical endpoints, biomarkers of patient selection and efficacy, mechanisms and the modulation of the placebo effect and alternatives to conventional field trials, including allergen exposure chamber studies are still to be elucidated. This review demonstrates that AIT is still in its growth phase and shows immense development prospects.

Why the role of mHealth in allergy diagnosis and treatment adherence cannot be overlooked

BACKGROUND

Allergic diseases-rhinitis and asthma-are the most common chronic conditions affecting adults. Traditional approaches to allergy diagnosis and treatment do not meet the health needs of all patients. Treatment adherence remains a challenge for physicians. The ubiquity of Internet access paired with limited in-person contact with medical personnel in the course of the COVID-19 pandemic demonstrated the potential of mHealth in communicating health information. BODY: The abundance of new applications dedicated to various medical specialties encourages reflection on the informed use of such tools. The paper takes a closer look at the potential of mHealth and presents conclusions of selected studies focusing on the use of good apps. The strength weakness opportunities threats analysis was used to illustrate the strengths of the mHealth strategy, as well as its advantages, limitations and areas in need of further development.

CONCLUSION

The strength of mHealth depends on the quality and quantity of the collected patient data, its reliable processing, as well as publication of outcomes and conclusions from analyses. Therefore, it is necessary to promote the use of validated applications among patients, physicians and medical staff.

Beyond ARIA: Will e-diaries replace retrospective questionnaires in measuring the severity of allergic rhinitis in clinical research and daily practice?

Retrospective questionnaires are used since decades to assess the severity and/or control of allergic diseases. Applications on smartphones have recently facilitated the use of prospective clinical diaries, based on questionnaires filled every day by the patient. Once limited to clinical trials, these e-diaries, based on validated disease control scores and visual analogue scales, permit a quantitative day-by-day measure free of recall bias. Given the advantages of this procedure, its use could be extended to the daily clinical practice. E-diaries may facilitate (1) a more precise identification of the culprit allergen in the diagnostic work-up of poly-sensitized patients, (2) the stratification of patients for treatment, (3) the follow-up of the patients under treatment for optimized shared decision-making, and (4) a careful assessment of preventive therapies. While a few apps are being used in scientific studies, consensus on their use in daily practice should be reached and guidelines for specialists should be elaborated by scientific associations.

Nonallergic Rhinitis, Allergic Rhinitis, and Immunotherapy: Advances in the Last Decade

Chronic rhinitis encompassing both allergic and nonallergic rhinitis affects a significant portion of the population worldwide, having a great impact on patient quality of life, and associated comorbid conditions, with an important societal economic burden. Allergists are often the first to evaluate and treat allergic and nonallergic rhinitis, addressing the individual triggers of the disease as well as the patient-specific responses to these triggers. This review focuses on the advances that have been made in the diagnosis, management, and treatment of nonallergic and allergic rhinitis over the past 10 years, including specific allergen immunotherapy, care pathways, and digital health.

The Allergic Rhinitis and Its Impact on Asthma (ARIA) Approach of Value-Added Medicines: As-Needed Treatment in Allergic Rhinitis

Drug repurposing is a major field of value-added medicine. It involves investigating and evaluating existing drugs for new therapeutic purposes that address unmet healthcare needs. Several unmet needs in allergic rhinitis could be improved by drug repurposing. This could be game-changing for disease management. Current medications for allergic rhinitis are centered on continuous long-term treatment, and medication registration is based on randomized controlled trials carried out for a minimum of 14 days with adherence of 70% or greater. A new way of treating allergic rhinitis is to propose as-needed treatment depending on symptoms, rather than classical continuous treatment. This rostrum will discuss existing clinical trials on as-needed treatment for allergic rhinitis and real-world data obtained by the mobile health app MASK-air, which focuses on digitally-enabled, patient-centered care pathways.

mHealth and telemedicine utility in the monitoring of allergic diseases

This literature review discusses the use of mHealth technologies and telemedicine for monitoring various allergic diseases both in everyday life and in the context of COVID-19. Telemedicine, whose popularity, and demand has skyrocketed during the pandemic, rely on mHealth technologies, video calls and websites as a resource-saving and safe way of consulting patients. The incorporation of new mHealth technologies into telemedicine practice may not only be relevant in the context of pandemic restrictions but can also be applied in everyday medical practice as an effective method of patient counseling. The mobile healthcare applications include a wide range of mobile apps for patients' education, monitoring, and disease management. However, applications for the people with food allergies lack relevant information about allergies and, like most other applications, are developed without the contribution of healthcare specialists. During the COVID-19 pandemic, low-risk food-allergic patients were able to rely on telemedicine services where they could get the help, they needed without increasing risk of contracting COVID-19 while saving time. Meanwhile, some applications for allergic rhinitis and asthma patients are showing practical benefits in clinical trials by allowing an efficient assessment of treatment regimens and efficacy. The use of digital symptom diaries further facilitates the implementation of real-life studies. However, for respiratory allergic diseases, the often insufficient quality of pollen prediction needs to be taken into account. Even though studies have shown that asthma is better controlled with mHealth technologies, the quality of mobile apps for asthma patients varies widely, as many products provide information that has not been scientifically proven. Inhaler sensors - have been shown to improve the course of asthma and its monitoring, while push notifications prompting people to take their medication double the likelihood of treatment adherence. Teledermatology has a high level of patient satisfaction - as it is perceived as a more time-saving method of consultation. However, the diagnostic accuracy of contact consultations remains higher. mHealth technologies provide a patient's health data from his/her daily life, which enables insights into behavioral patterns. This closer look at the daily routine can have a significant impact on developing individualized treatment and care guidelines.

Allergen immunotherapy in MASK-air users in real-life: Results of a Bayesian mixed-effects model

Background

Evidence regarding the effectiveness of allergen immunotherapy (AIT) on allergic rhinitis has been provided mostly by randomised controlled trials, with little data from real‐life studies.

Objective

To compare the reported control of allergic rhinitis symptoms in three groups of users of the MASK‐air^® app: those receiving sublingual AIT (SLIT), those receiving subcutaneous AIT (SCIT), and those receiving no AIT.

Methods

We assessed the MASK‐air^® data of European users with self‐reported grass pollen allergy, comparing the data reported by patients receiving SLIT, SCIT and no AIT. Outcome variables included the daily impact of allergy symptoms globally and on work (measured by visual analogue scales—VASs), and a combined symptom‐medication score (CSMS). We applied Bayesian mixed‐effects models, with clustering by patient, country and pollen season.

Results

We analysed a total of 42,756 days from 1,093 grass allergy patients, including 18,479 days of users under AIT. Compared to no AIT, SCIT was associated with similar VAS levels and CSMS. Compared to no AIT, SLIT‐tablet was associated with lower values of VAS global allergy symptoms (average difference = 7.5 units out of 100; 95% credible interval [95%CrI] = −12.1;−2.8), lower VAS Work (average difference = 5.0; 95%CrI = −8.5;−1.5), and a lower CSMS (average difference = 3.7; 95%CrI = −9.3;2.2). When compared to SCIT, SLIT‐tablet was associated with lower VAS global allergy symptoms (average difference = 10.2; 95%CrI = −17.2;−2.8), lower VAS Work (average difference = 7.8; 95%CrI = −15.1;0.2), and a lower CSMS (average difference = 9.3; 95%CrI = −18.5;0.2).

Conclusion

In patients with grass pollen allergy, SLIT‐tablet, when compared to no AIT and to SCIT, is associated with lower reported symptom severity. Future longitudinal studies following internationally‐harmonised standards for performing and reporting real‐world data in AIT are needed to better understand its ‘real‐world’ effectiveness.

Heterogeneous validity of daily data on symptoms of seasonal allergic rhinitis recorded by patients using the e-diary AllergyMonitor®

BACKGROUND

Patient-generated symptom and medication scores are essential for diagnostic and therapeutic decisions in seasonal allergic rhinitis (SAR). Previous studies have shown solid consistencies between different scores at population level in real-life data and trials. For clinicians, the evaluation of individual data quality over time is essential to decide whether to rely on these data in clinical decision-making.

OBJECTIVE

To analyze the consistency of different symptom (SS) and symptom medication scores (SMSs) at individual level in two study cohorts with different characteristics and explore individual patient trajectories over time.

METHODS

Within the pilot phase of the @IT.2020 project on diagnostic synergy of mobile health and molecular IgE assessment in patients with SAR, we analyzed data of 101 children and 93 adults with SAR and instructed them to record their symptoms and medication intake daily via the mobile app AllergyMonitor®. We then assessed the correlation between different SMS and a visual analogue scale (VAS) on the impact of allergy symptoms on daily life at population and individual level.

RESULTS

At population level, the Rhinoconjunctivitis total symptom score (RTSS) correlated better with VAS than the combined symptom and medication score (CSMS). At individual level, consistency among RTSS and VAS was highly heterogeneous and unrelated to disease severity or adherence to recording. Similar heterogeneity was observed for CSMS and VAS.

CONCLUSIONS

The correlation of clinical information provided by different disease severity scores based on data collected via electronic diaries (e-diaries), is sufficient at population level, but broadly heterogeneous for individual patients. Consistency of the recorded data must be examined for each patient before remotely collected information is used for clinical decision making.