Literature DB >> 33717397

Variability of grass pollen allergy symptoms throughout the season: Comparing symptom data profiles from the Patient's Hayfever Diary from 2014 to 2016 in Vienna (Austria).

Maximilian Bastl1, Katharina Bastl1, Lukas Dirr1, Markus Berger1, Uwe Berger1.   

Abstract

BACKGROUND: Grass pollen allergy is the most widespread pollen allergy in the world. It still remains unknown in which aspects and in which extent symptoms from grass pollen allergy differ throughout the grass pollen season, although individual sensitization profiles of persons concerned are known for a long time.
METHODS: The crowd-sourced symptom data of users of the Patient's Hayfever Diary were filtered for significant positive correlated users to grass pollen from Vienna (Austria) during the respective grass pollen seasons from 2014, 2015, and 2016. These symptom data were the foundation for 3 statistical approaches in order to examine different sections of the grass pollen season defined either by grass pollen data, phenology (grass species determination in the field), or symptom data itself.
RESULTS: Results from all 3 approaches are similar and come to the same major conclusion. The symptom peak of most users is observed in the second section of the grass pollen season (70%), followed by the first section (20%), and with the least user numbers (10%) the third section. The profiles from single users entering data for all 3 years under study are robust and show a comparable behavior from year to year.
CONCLUSION: Grass taxa such as Arrhenatherum, Festuca, and Lolium seem to induce the highest symptom severity in most users during the second section of the grass pollen season. Poa and Dactylis are the main triggers for the first section of the grass pollen season. The flower of Phleum und Cynodon is documented for the last section of the grass pollen season. Crowd-sourced symptom data is the prerequisite for personal pollen information to consider the individuality of grass pollen allergy sufferers. Phenological monitoring is needed to provide information on specific grass taxa of importance to allergic persons.
© 2021 The Author(s).

Entities:  

Keywords:  Crowd-sourced symptom data; Ehealth/mhealth; Electronic symptom diary; Grass pollen allergy

Year:  2021        PMID: 33717397      PMCID: PMC7921880          DOI: 10.1016/j.waojou.2021.100518

Source DB:  PubMed          Journal:  World Allergy Organ J        ISSN: 1939-4551            Impact factor:   4.084


  17 in total

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Authors:  G D'Amato; L Cecchi; S Bonini; C Nunes; I Annesi-Maesano; H Behrendt; G Liccardi; T Popov; P van Cauwenberge
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Authors:  O Pfaar; K Bastl; U Berger; J Buters; M A Calderon; B Clot; U Darsow; P Demoly; S R Durham; C Galán; R Gehrig; R Gerth van Wijk; L Jacobsen; L Klimek; M Sofiev; M Thibaudon; K C Bergmann
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4.  Development of personal pollen information-the next generation of pollen information and a step forward for hay fever sufferers.

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8.  Spatiotemporal monitoring of allergic rhinitis symptoms in The Netherlands using citizen science.

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Journal:  Allergy       Date:  2014-06-03       Impact factor: 13.146

9.  The grass pollen season 2014 in Vienna: A pilot study combining phenology, aerobiology and symptom data.

Authors:  Maximilian Kmenta; Katharina Bastl; Matthias F Kramer; Simon J Hewings; Juliet Mwange; Reinhard Zetter; Uwe Berger
Journal:  Sci Total Environ       Date:  2016-06-15       Impact factor: 7.963

10.  The grass pollen season 2015: a proof of concept multi-approach study in three different European cities.

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