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Asthma and allergy trajectories in children based on combined parental report and register data

Lisik, Daniil ; Wennergren, Göran ; Kankaanranta, Hannu ; Basna, Rani LU orcid ; Shah, Syed Ahmar LU ; Alm, Bernt ; Celind, Frida Strömberg ; Goksör, Emma and Nwaru, Bright I. (2024) In Pediatric Allergy and Immunology 35(10).
Abstract

Background: Trajectories of asthma and allergy in children are heterogeneous and commonly derived from parental report of disease or clinical records. This study combined parental-reported and register-based dispensed medication data to characterize childhood trajectories of co-existing asthma, allergic rhinitis, and eczema. Methods: From a Swedish population-based birth cohort (N = 5654), survey responses collected at the age of 1, 4.5, 8, and 12 years were linked to dispensed medication register data for the period of 2–13 years. Trajectories were identified with latent class analysis. Statistical metrics and clinical interpretability guided the model selection. Results: Nine distinct trajectories were identified: three... (More)

Background: Trajectories of asthma and allergy in children are heterogeneous and commonly derived from parental report of disease or clinical records. This study combined parental-reported and register-based dispensed medication data to characterize childhood trajectories of co-existing asthma, allergic rhinitis, and eczema. Methods: From a Swedish population-based birth cohort (N = 5654), survey responses collected at the age of 1, 4.5, 8, and 12 years were linked to dispensed medication register data for the period of 2–13 years. Trajectories were identified with latent class analysis. Statistical metrics and clinical interpretability guided the model selection. Results: Nine distinct trajectories were identified: three asthma-dominated (early-onset remitting [n = 189, 3.3%], late-onset [n = 117, 2.1%], and persistent [n = 149, 2.6%]), two eczema-dominated (persistent [n = 190, 3.4%] and remitting [n = 432, 7.6%]), one allergic rhinitis-dominated (late-onset [n = 259, 4.6%]), two multimorbidity (mid-childhood asthma and late-onset allergic rhinitis [n = 144, 2.5%], and persistent eczema and late-onset allergic rhinitis [n = 90, 1.6%]), and one low-disease burden trajectory (n = 4084, 72.2%). Differences were seen across the trajectories in the proportion of parental report of disease and dispensed medication as well as by class and quantity of medication dispensed. Conclusion: Combined parental-reported and dispensed medication data enriches characterization of longitudinal trajectories of asthma and allergy in children by merging subjective experience of disease with healthcare utilization. The identified trajectories were characterized by distinct disease development and prescription patterns suggesting clinically differential morbidity burden.

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author
; ; ; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
allergic rhinitis, asthma, atopic dermatitis, machine learning, trajectory analysis
in
Pediatric Allergy and Immunology
volume
35
issue
10
article number
e14254
publisher
Blackwell Munksgaard
external identifiers
  • pmid:39373071
  • scopus:85205772549
ISSN
0905-6157
DOI
10.1111/pai.14254
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2024 The Author(s). Pediatric Allergy and Immunology published by European Academy of Allergy and Clinical Immunology and John Wiley & Sons Ltd.
id
4a607316-220d-483a-9d8c-fa4e0da5b86e
date added to LUP
2024-10-21 12:59:44
date last changed
2025-12-03 00:18:34
@article{4a607316-220d-483a-9d8c-fa4e0da5b86e,
  abstract     = {{<p>Background: Trajectories of asthma and allergy in children are heterogeneous and commonly derived from parental report of disease or clinical records. This study combined parental-reported and register-based dispensed medication data to characterize childhood trajectories of co-existing asthma, allergic rhinitis, and eczema. Methods: From a Swedish population-based birth cohort (N = 5654), survey responses collected at the age of 1, 4.5, 8, and 12 years were linked to dispensed medication register data for the period of 2–13 years. Trajectories were identified with latent class analysis. Statistical metrics and clinical interpretability guided the model selection. Results: Nine distinct trajectories were identified: three asthma-dominated (early-onset remitting [n = 189, 3.3%], late-onset [n = 117, 2.1%], and persistent [n = 149, 2.6%]), two eczema-dominated (persistent [n = 190, 3.4%] and remitting [n = 432, 7.6%]), one allergic rhinitis-dominated (late-onset [n = 259, 4.6%]), two multimorbidity (mid-childhood asthma and late-onset allergic rhinitis [n = 144, 2.5%], and persistent eczema and late-onset allergic rhinitis [n = 90, 1.6%]), and one low-disease burden trajectory (n = 4084, 72.2%). Differences were seen across the trajectories in the proportion of parental report of disease and dispensed medication as well as by class and quantity of medication dispensed. Conclusion: Combined parental-reported and dispensed medication data enriches characterization of longitudinal trajectories of asthma and allergy in children by merging subjective experience of disease with healthcare utilization. The identified trajectories were characterized by distinct disease development and prescription patterns suggesting clinically differential morbidity burden.</p>}},
  author       = {{Lisik, Daniil and Wennergren, Göran and Kankaanranta, Hannu and Basna, Rani and Shah, Syed Ahmar and Alm, Bernt and Celind, Frida Strömberg and Goksör, Emma and Nwaru, Bright I.}},
  issn         = {{0905-6157}},
  keywords     = {{allergic rhinitis; asthma; atopic dermatitis; machine learning; trajectory analysis}},
  language     = {{eng}},
  number       = {{10}},
  publisher    = {{Blackwell Munksgaard}},
  series       = {{Pediatric Allergy and Immunology}},
  title        = {{Asthma and allergy trajectories in children based on combined parental report and register data}},
  url          = {{http://dx.doi.org/10.1111/pai.14254}},
  doi          = {{10.1111/pai.14254}},
  volume       = {{35}},
  year         = {{2024}},
}