Literature DB >> 35112730

Development of the EAACI% season definition a backup for a global application.

Maximilian Bastl1, Markus Berger2, Katharina Bastl1, Lukas Dirr1, Thomas Zwingers3, Karl-Christian Bergmann4,5, Oliver Pfaar6, Nicolas Bruffaerts7, Donát Magyar8, Barbara Majkowska-Wojciechowska9, Mirjana Mitrović Josipović10, Ondřej Rybníček11, Barbara Stjepanovic12, Matthias Werchan13, Uwe Berger1.   

Abstract

Entities:  

Mesh:

Substances:

Year:  2022        PMID: 35112730      PMCID: PMC9305171          DOI: 10.1111/all.15220

Source DB:  PubMed          Journal:  Allergy        ISSN: 0105-4538            Impact factor:   14.710


× No keyword cloud information.

CONFLICT OF INTEREST

All authors declare no conflicts of interest. To the Editor, Pollen seasons progress differently in their timing, course, and intensity in different countries/biogeographical regions depending on regional factors such as vegetation, elevation, urbanization, and others. The variable regional situation often provides obstacles for a standard season definition.  The season definition of the European Academy of Allergy and Clinical Immunology (EAACI) was published as a pollen concentration season definition depending on the selected pollen type reaching a certain threshold after a certain period of consecutive days, , and it was demonstrated that they can be correlated with pollen‐induced symptom loads.  The season definition was developed for studies with a medical framework, particularly to allow a prospective approach. However, pollen concentrations do not reach the same level in Europe or globally and affect persons concerned differently.  Therefore, there is a strong need to expand the scope of application of the EAACI season definition to a retrospective approach if the standard season definition criteria are not met within the site selection or during a clinical trial. Hence, we tried to transfer the EAACI season definition criteria into a percentage definition (EAACI%) for birch and grasses in a first approach herein to include areas where the pollen concentrations do not meet the criteria of the EAACI season definition or small gaps in the data record prevent an EAACI season definition result. For this “backup” season definition, ten pollen monitoring stations across central and eastern Europe were used as the calculation basis for transforming the EAACI season definition. A cumulative relative pollen concentration () was calculated for the start, end and peak days of the standard EAACI season definition applying the following formula: . Summarized, the cumulative pollen concentration () from the first day of the year to day is divided by the yearly total sum of the respective pollen type. For further optimization, these values were calculated for all sites, pollen types, and years to minimize the mean absolute deviation in comparison with the standard EAACI definition. This calculation results in four percentage values () per pollen type, which define the start and the end of the (peak) pollen season. If the relative cumulative pollen concentration exceeds one of the thresholds (), the respective date marks the (peak) pollen season start/end of the EAACI% definition. For the result validation, the difference in the season's duration was compared with each of the definitions applied (Table 1).
TABLE 1

Calculated thresholds of the EAACI% definition for birch () and grasses ( for the start of the main pollen season (), the end of the main pollen season (), the start of the peak pollen season (), and the end of the peak pollen season ()

Main season start

(va,1)

Main season end

(va,2)

Peak season start

(va,3)

Peak season end

(va,4)

Birch

(vb,s)

vb,1= 0.013

2 (1–2 days)

vb,2= 0.968

6.4 (2–10 days)

vb,3= 0.081

1.8 (1–3 days)

vb,4= 0.868

3.1 (1–5 days)

Grass

(vg,s)

vg,1= 0.016

4.7 (2–6 days)

vg,2= 0.962

13.2 (5–21 days)

vg,3= 0.182

3.6 (1–7 days)

vg,4= 0.683

7.4 (2–13 days)

In addition, the mean absolute deviation for all stations and years as a comparison to the standard EAACI season definition is displayed, including the 25% and 75% quantiles in brackets.

Calculated thresholds of the EAACI% definition for birch () and grasses ( for the start of the main pollen season (), the end of the main pollen season (), the start of the peak pollen season (), and the end of the peak pollen season () Main season start () Main season end () Peak season start () Peak season end () Birch () 0.013 2 (1–2 days) 0.968 6.4 (2–10 days) 0.081 1.8 (1–3 days) 0.868 3.1 (1–5 days) Grass ( 0.016 4.7 (2–6 days) 0.962 13.2 (5–21 days) 0.182 3.6 (1–7 days) 0.683 7.4 (2–13 days) In addition, the mean absolute deviation for all stations and years as a comparison to the standard EAACI season definition is displayed, including the 25% and 75% quantiles in brackets. Additional information regarding the methodology and results as well as a calculation example can be found in the Appendix S1. To evaluate the EAACI% season definition, the Austrian pollen monitoring site of Tamsweg (ATTAMS) was selected as an experimental station to compare both season definitions and to test the application to data, where the EAACI season definition fails (Figure 1).
FIGURE 1

Course of the birch pollen season of the station Tamsweg (Austria) for the years 2015 and 2017. (A) Neither the main pollen season, nor the peak pollen season could be derived from the EAACI definition (no matching criteria), but only from EAACI% definition. (B) Both season definitions could be applied. The solid lines display the start and the end of the main pollen season and dashed lines the peak pollen season. The blue lines show the ranges of the EAACI season definition whereas the red lines display the ranges of the EAACI% definition

Course of the birch pollen season of the station Tamsweg (Austria) for the years 2015 and 2017. (A) Neither the main pollen season, nor the peak pollen season could be derived from the EAACI definition (no matching criteria), but only from EAACI% definition. (B) Both season definitions could be applied. The solid lines display the start and the end of the main pollen season and dashed lines the peak pollen season. The blue lines show the ranges of the EAACI season definition whereas the red lines display the ranges of the EAACI% definition This first attempt demonstrates that the EAACI season definition criteria could successfully be converted into a percentage definition. We recommend using the herein described EAACI% season definition for predictive assistance in site selection or retrospective analysis in sites/countries where the EAACI season definition could not be applied during an ongoing trial. This transformed definition allows an accurate assessment of the pollen season using EAACI criteria in terms of start and end of the pollen season where the EAACI season definition would fail. A moving average season definition usually used in trend analysis, could improve the results of this definition in the future approaches.  Taking together this calculation may be helpful in trial regions of interest with low pollen concentrations, an exceptional less intense season, or other possible obstacles for pollen concentration‐based season definitions. However, further validation with clinical data from hayfever patients is needed. App S1 Click here for additional data file.
  5 in total

Review 1.  Defining pollen exposure times for clinical trials of allergen immunotherapy for pollen-induced rhinoconjunctivitis - an EAACI position paper.

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
Journal:  Allergy       Date:  2017-01-27       Impact factor: 13.146

2.  The development of birch pollen seasons over 30 years in Munich, Germany-An EAACI Task Force report.

Authors:  Karl-Christian Bergmann; Jeroen Buters; Kostas Karatzas; Thomas Tasioulis; Barbora Werchan; Matthias Werchan; Oliver Pfaar
Journal:  Allergy       Date:  2020-08-31       Impact factor: 13.146

3.  Pollen season is reflected on symptom load for grass and birch pollen-induced allergic rhinitis in different geographic areas-An EAACI Task Force Report.

Authors:  Oliver Pfaar; Kostas Karatzas; Katharina Bastl; Uwe Berger; Jeroen Buters; Ulf Darsow; Pascal Demoly; Stephen R Durham; Carmen Galán; Regula Gehrig; Roy Gerth van Wijk; Lars Jacobsen; Nikos Katsifarakis; Ludger Klimek; Annika Saarto; Mikhail Sofiev; Michel Thibaudon; Barbora Werchan; Karl-Christian Bergmann
Journal:  Allergy       Date:  2020-03-01       Impact factor: 13.146

4.  50 Years of Pollen Monitoring in Basel (Switzerland) Demonstrate the Influence of Climate Change on Airborne Pollen.

Authors:  Regula Gehrig; Bernard Clot
Journal:  Front Allergy       Date:  2021-05-28

Review 5.  Defining Pollen Seasons: Background and Recommendations.

Authors:  Katharina Bastl; Maximilian Kmenta; Uwe E Berger
Journal:  Curr Allergy Asthma Rep       Date:  2018-10-29       Impact factor: 4.806

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.