Phl p 5 levels more strongly associated than grass pollen counts with allergic respiratory health
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Author(s)
Type
Journal Article
Abstract
Background:
Studies have linked daily pollen counts to respiratory allergic health outcomes but few have considered allergen levels.
Objective:
This study assessed associations of grass pollen counts and allergen levels (Phl p 5) with 1) respiratory allergic health symptoms in a panel of 93 adults with moderate-severe allergic rhinitis and 2) daily asthma hospital admissions in London, UK.
Methods:
Daily symptom and medication scores were collected from adult participants in an allergy clinical trial. Daily counts of asthma hospital admissions in the London general population were obtained from Hospital Episode Statistics data. Daily grass pollen counts were measured using a volumetric air sampler, and novel Phl p 5 levels, using a Chemvol high-volume cascade impactor and ELISA analyses (May-August). Associations between the two pollen variables and daily health scores (dichotomized based on within-person 75th percentiles) were assessed using generalized estimating equation logistic models, and with asthma hospital admissions using Poisson regression models.
Results:
Daily pollen counts and Phl p 5 levels were each positively associated with reporting a high combined symptom and medication health score in separate models. However, in mutually adjusted models including terms for both pollen counts and Phl p 5 levels, associations remained for Phl p 5 levels (odds ratio [95% confidence intervals]: 1.18 [1.12, 1.24]) but were heavily attenuated for pollen counts (1.00 [0.93, 1.07]). Similar trends were not observed for asthma hospital admissions in London.
Conclusion:
Grass allergen (Phl p 5) levels are more consistently associated with allergic respiratory symptoms than grass pollen counts.
Studies have linked daily pollen counts to respiratory allergic health outcomes but few have considered allergen levels.
Objective:
This study assessed associations of grass pollen counts and allergen levels (Phl p 5) with 1) respiratory allergic health symptoms in a panel of 93 adults with moderate-severe allergic rhinitis and 2) daily asthma hospital admissions in London, UK.
Methods:
Daily symptom and medication scores were collected from adult participants in an allergy clinical trial. Daily counts of asthma hospital admissions in the London general population were obtained from Hospital Episode Statistics data. Daily grass pollen counts were measured using a volumetric air sampler, and novel Phl p 5 levels, using a Chemvol high-volume cascade impactor and ELISA analyses (May-August). Associations between the two pollen variables and daily health scores (dichotomized based on within-person 75th percentiles) were assessed using generalized estimating equation logistic models, and with asthma hospital admissions using Poisson regression models.
Results:
Daily pollen counts and Phl p 5 levels were each positively associated with reporting a high combined symptom and medication health score in separate models. However, in mutually adjusted models including terms for both pollen counts and Phl p 5 levels, associations remained for Phl p 5 levels (odds ratio [95% confidence intervals]: 1.18 [1.12, 1.24]) but were heavily attenuated for pollen counts (1.00 [0.93, 1.07]). Similar trends were not observed for asthma hospital admissions in London.
Conclusion:
Grass allergen (Phl p 5) levels are more consistently associated with allergic respiratory symptoms than grass pollen counts.
Date Issued
2024-03
Date Acceptance
2023-11-09
Citation
Journal of Allergy and Clinical Immunology, 2024, 153 (3), pp.844-851
ISSN
0091-6749
Publisher
Elsevier
Start Page
844
End Page
851
Journal / Book Title
Journal of Allergy and Clinical Immunology
Volume
153
Issue
3
Copyright Statement
© 2023 The Authors. Published by Elsevier Inc. on behalf of the American Academy of
Allergy, Asthma & Immunology. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Allergy, Asthma & Immunology. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
License URL
Identifier
https://www.sciencedirect.com/science/article/pii/S0091674923014690
Publication Status
Published
Date Publish Online
2023-11-22