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- Preis, S, et al.
(author)
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Munich atopy prediction study (MAPS): protocol for a prospective birth cohort addressing clinical and molecular risk factors for atopic dermatitis in early childhood
- 2022
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In: BMJ open. - : BMJ. - 2044-6055. ; 12:9, s. e059256-
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Journal article (peer-reviewed)abstract
- The pathogenesis of atopic diseases is highly complex, and the exact mechanisms leading to atopic dermatitis (AD) onset in infants remain mostly enigmatic. In addition to an interdependent network of components of skin development in young age and skin barrier dysfunction underlying AD development that is only partially understood, a complex interplay between environmental factors and lifestyle habits with skin barrier and immune dysregulation is suspected to contribute to AD onset. This study aims to comprehensively evaluate individual microbiome and immune responses in the context of environmental determinants related the risk of developing AD in the first 4 years of a child’s life.Methods and analysesThe ‘Munich Atopic Prediction Study’ is a comprehensive clinical and biological investigation of a prospective birth cohort from Munich, Germany. Information on pregnancy, child development, environmental factors, parental exposures to potential allergens and acute or chronic diseases of children and parents are collected by questionnaires together with a meticulous clinical examination by trained dermatologists focusing on allergies, skin health, and in particular signs of AD at 2 months after birth and then every 6 months. In addition, skin barrier functions are assessed through cutometry, corneometry and transepidermal water loss at every visit. These measurements are completed with allergy diagnostics and extensive microbiome analyses from stool and skin swabs as well as transcriptome analyses using skin microbiopsies.The aim is to assess the relevance of different known and yet unknown risk factors of AD onset and exacerbations in infants and to identify possible accessible and robust biomarkers.Ethics and disseminationThe study is approved by the Ethical Committee of the Medical Faculty of the Technical University of Munich (reference 334/16S). All relevant study results will be presented at national and international conferences and in peer-reviewed journals.
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- Hilker, C, et al.
(author)
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Leveraging internet search data to assess prevalence, interest, and unmet needs of sarcoidosis in Germany
- 2021
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In: Scientific reports. - : Springer Science and Business Media LLC. - 2045-2322. ; 11:1, s. 20841-
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Journal article (peer-reviewed)abstract
- Sarcoidosis is a multisystemic disease of connective tissue with granuloma formation of unknown etiology and unclear prevalence. Internet search data has been shown to correlate with disease incidences and the population’s interest as well as seasonal variations. Accordingly, aim of this study was to leverage internet search data on sarcoidosis-related keywords to identify unmet needs, geographical and seasonal factors influencing sarcoidosis and estimating its prevalence. In this retrospective longitudinal study, Google Ads Keyword Planner was used to determine the internet search volume of terms related to sarcoidosis across Germany as a whole and in 17 major German cities between July 2015 and June 2019. Identified keywords were qualitatively categorized, converted into number of searches per 100,000 inhabitants and analyzed including regional and seasonal differences. With 3,068,200 queries and 425 different sarcoidosis-related search terms in the studied time period, the search volume was very high for a rare disease. Most searches (67.9%) related to general disease information with “sarcoidosis”, "Löfgren's syndrome", "sarcoidosis lung", "Morbus Boeck" and "neurosarcoidosis" as the top five keywords. Searches per 100,000 inhabitants were comparable in all 17 cities but higher than in Germany as a whole. Overall, the search volume increased from 2015 to 2019 and peaked annually in European springtime with annual lows in European autumn and winter months. The overall high search volume suggests an unmet need for sarcoidosis-related information and a diagnostic gap. Seasonal fluctuations indicate environmental as well as climatic factors that may influence sarcoidosis.
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- Berr, K, et al.
(author)
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Analyzing web searches for axial spondyloarthritis in Germany: a novel approach to exploring interests and unmet needs
- 2023
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In: Rheumatology international. - : Springer Science and Business Media LLC. - 1437-160X. ; 43:6, s. 1111-1119
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Journal article (peer-reviewed)abstract
- Axial spondyloarthritis (axSpA) is an underdiagnosed condition with a high disease burden. Due to delayed diagnosis and limited access to specialist care, conventional health data might not sufficiently capture the perspective of affected individuals. The aim of this study was to assess public interest, unmet needs, and disease burden of axSpA in Germany through the analysis of thematic, geographic, and temporal patterns in national web search data. Google Ads Keyword Planner was used to identify axSpA-related keywords and their monthly search volume in Germany between January 2017 and December 2020. Identified keywords were qualitatively categorized into six categories. Overall, 265 axSpA-related keywords with a search volume of 3,881,490 queries were identified. Nearly 81% of the total search volume was assigned to the category terms and definition, while 19% referred to either outcomes, symptoms, diagnosis, management, or causes. In the category outcomes, prognostic outcomes like “life expectancy” generated more searches than physical manifestations like “pain”. Less populated cities showed significantly more searches per 100,000 inhabitants than larger cities. Searches were seasonally stable with a Germany-wide peak in July 2017. This study provides an overview of public interest in axSpA based on web search data in Germany. The identified search patterns could be used to guide public health campaigns and optimize axSpA management in Germany.
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