Publications by authors named "Wienczyslawa Czarlewski"

Background And Research Question: We aimed to assess whether levels of digital biomarkers can reflect monthly patterns of asthma control.

Study Design And Methods: We performed a longitudinal study on patients with asthma and comorbid rhinitis who filled ≥26 days of data in a month in the MASK-air® app and who reported at least 1 day of treatment with an inhaled corticosteroid with or without a long-acting β-agonist (ICS ± LABA). We applied k-means cluster analysis to define clusters of months according to daily asthma control and medication use.

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Background: Adherence to rhinitis treatment has been insufficiently assessed. We aimed to use data from the MASK-air mHealth app to assess adherence to oral antihistamines (OAH), intra-nasal corticosteroids (INCS) or azelastine-fluticasone in patients with allergic rhinitis.

Methods: We included regular European MASK-air users with self-reported allergic rhinitis and reporting at least 1 day of OAH, INCS or azelastine-fluticasone.

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Infertility, defined as the inability to obtain pregnancy after 12 months of regular unprotected sexual intercourse, has increased in prevalence over the past decades, similarly to chronic, allergic, autoimmune, or neurodegenerative diseases. A recent ARIA-MeDALL hypothesis has proposed that all these diseases are linked to dysbiosis and to some cytokines such as interleukin 17 (IL-17) and interleukin 33 (IL-33). Our paper suggests that endometriosis, a leading cause of infertility, is linked to endometrial dysbiosis and two key cytokines, IL-17 and IL-33, which interact with intestinal dysbiosis.

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Article Synopsis
  • - Patient-reported outcome measures (PROMs) are tools that help assess a patient's health at a specific time and are important for personalized healthcare.
  • - The paper reviews the use of visual analog scales (VAS) for measuring asthma and allergic rhinitis control, particularly focusing on the MASK-air app, which includes electronic VAS forms.
  • - A randomized controlled trial was conducted to validate the electronic VAS, and further evaluations confirmed the effectiveness of VAS questions and additional medication scores for allergic asthma symptoms.
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Article Synopsis
  • - The traditional healthcare approach often overlooks patients' personal experiences and strengths, focusing mainly on disease treatment. Person-centered care aims to align medical decisions with individual values and preferences, particularly for those with chronic conditions.
  • - This paper seeks to enhance care for rhinitis and asthma by developing digital care pathways and incorporating real-world evidence to create a more patient-centered approach.
  • - Key components of the review include advancements in mHealth, the integration of artificial intelligence, a novel classification system for airway diseases, and proposals for the ARIA 2024 guidelines, all targeting a sustainable and applicable healthcare model.
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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.

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In rhinitis and asthma, several mHealth apps have been developed but only a few have been validated. However, these apps have a high potential for improving person-centred care (PCC), especially in allergen immunotherapy (AIT). They can provide support in AIT initiation by selecting the appropriate patient and allergen shared decision-making.

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Eight million Ukrainians have taken refuge in the European Union. Many have asthma and/or allergic rhinitis and/or urticaria, and around 100,000 may have a severe disease. Cultural and language barriers are a major obstacle to appropriate management.

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Article Synopsis
  • The EQ-5D-5L is a health-related quality-of-life tool with five domains, and this study investigates how rhinitis and asthma control affect these domains.
  • Data from the MASK-air mHealth app (2015-2021) was used to evaluate the relationship between rhinitis/asthma control and EQ-5D-5L levels through visual analog scales and a symptom-medication score.
  • Findings reveal that poor control of rhinitis and asthma worsens quality of life, particularly in pain/discomfort, activity levels, anxiety/depression, and mobility.
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An increase in the prevalence of allergic rhinitis (AR) worldwide presents a significant burden to the health care system. An initiative was started in Europe designated as Allergic Rhinitis and Its Impact on Asthma (ARIA) to develop internationally applicable guidelines by utilising an evidence-based approach to address this crucial issue. The efforts are directed at empowerment of patients for self-management, the use of digital mobile technology to complement and personalise treatment, and establishment of real-life integrated care pathways (ICPs).

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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.

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Background: Validated questionnaires are used to assess asthma control over the past 1-4 weeks from reporting. However, they do not adequately capture asthma control in patients with fluctuating symptoms. Using the Mobile Airways Sentinel Network for airway diseases (MASK-air) app, we developed and validated an electronic daily asthma control score (e-DASTHMA).

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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.

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Article Synopsis
  • The study aimed to establish cutoff values for visual analog scales (VAS) related to global, nasal, ocular, and asthma symptoms in allergic rhinitis patients using MASK-air data.
  • The researchers compared methods based on percentiles and data-driven clusters, analyzing data from over 23,000 users and assessing the relevance of these cutoffs.
  • Results indicated that the data-driven approach provided more precise cutoff values for classifying patients' control levels, aiding in better management of allergic rhinitis and asthma.
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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.

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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.

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Background: Several studies have suggested an impact of allergic rhinitis on academic productivity. However, large studies with real-world data (RWD) are not available.

Objective: To use RWD to assess the impact of allergic rhinitis on academic performance (measured through a visual analog scale [VAS] education and the Work Productivity and Activity Impairment Questionnaire plus Classroom Impairment Questions: Allergy Specific [WPAI+CIQ:AS] questionnaire), and to identify factors associated with the impact of allergic rhinitis on academic performance.

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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.

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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").

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Vaccination is a highly effective preventive measure against COVID-19. However, complementary treatments are needed to better control the disease. Fermented vegetables and spices, agonists of the antioxidant transcription factor nuclear factor (erythroid-derived 2)-like 2 (Nrf2) and TRPA1/V1 channels (Transient Receptor Potential Ankyrin 1 and Vanillin 1), may help in the control of COVID-19.

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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.

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Background: Only a small number of apps addressing allergic rhinitis (AR) patients have been evaluated. This makes their selection difficult. We aimed to introduce a new approach to market research for AR apps, based on the automatic screening of Apple App and Google Play stores.

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Background: Co-medication is common among patients with allergic rhinitis (AR), but its dimension and patterns are unknown. This is particularly relevant since AR is understood differently across European countries, as reflected by rhinitis-related search patterns in Google Trends. This study aims to assess AR co-medication and its regional patterns in Europe, using real-world data.

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Background: Validated combined symptom-medication scores (CSMSs) are needed to investigate the effects of allergic rhinitis treatments. This study aimed to use real-life data from the MASK-air app to generate and validate hypothesis- and data-driven CSMSs.

Methods: We used MASK-air data to assess the concurrent validity, test-retest reliability and responsiveness of one hypothesis-driven CSMS (modified CSMS: mCSMS), one mixed hypothesis- and data-driven score (mixed score), and several data-driven CSMSs.

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