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Patterns of respiratory symptoms and asthma diagnosis in school-age children: three birth cohorts

Patterns of respiratory symptoms and asthma diagnosis in school-age children: three birth cohorts
Patterns of respiratory symptoms and asthma diagnosis in school-age children: three birth cohorts

Background: Many studies used information on wheeze presence/absence to determine asthma-related phenotypes. We investigated whether clinically intuitive asthma subtypes can be identified by applying data-driven semi-supervised techniques to information on frequency and triggers of different respiratory symptoms. Methods: Partitioning Around Medoids clustering was applied to data on multiple symptoms and their triggers in school-age children from three birth cohorts: MAAS (n = 947, age 8 years), SEATON (n = 763, age 10) and ASHFORD (n = 584, age 8). ‘Guided’ clustering, incorporating asthma diagnosis, was used to select the optimal number of clusters. Results: Five-cluster solution was optimal. Based on their clinical characteristics, including frequency of asthma diagnosis, we interpreted one cluster as ‘Healthy’. Two clusters were characterised by high asthma prevalence (95.89% and 78.13%). We assigned children with asthma in these two clusters as ‘persistent, multiple-trigger, more severe’ (PMTS) and ‘persistent, triggered by infection, milder’ (PIM). Children with asthma in the remaining two clusters were assigned as ‘mild-remitting wheeze’ (MRW) and ‘post-bronchiolitis resolving asthma’ (PBRA). PBRA was associated with RSV bronchiolitis in infancy. In most children with asthma in this cluster wheezing resolved by age 5–6, and predominant symptoms were shortness of breath and chest tightness. Children in PBRA had the highest hospitalisation rates and wheeze exacerbations in infancy. From age 8 years (cluster derivation) to early adulthood (18–20 years), lung function was significantly lower, and FeNO and airway hyperreactivity significantly higher in PMTS compared to all other clusters. Conclusions: Patterns of coexisting symptoms identified by semi-supervised data-driven methods may reflect pathophysiological mechanisms of distinct subtypes of childhood wheezing disorders.

asthma, birth cohorts, childhood, clustering, RSV bronchiolitis
0105-4538
1923-1934
Cucco, Alex
31cc7a9c-9751-4603-9b20-6b860fabc09f
Simpson, Angela
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Haider, Sadia
ed3296e0-288d-49b1-befb-fe4545a7278e
Murray, Clare
aca69df6-149c-401c-842f-5b2d8042edf1
Turner, Stephen
f901f3b7-f5fd-48ad-8e0f-b870260ce5cd
Cullinan, Paul
b5b2eb0a-9fb9-4d4b-af18-5109de92d742
Filippi, Sarah
3796a978-320b-4151-8b68-b29c0f7d70a2
Fontanella, Sara
6c29b69f-edd6-4414-a8fd-c47241976aa5
Custovic, Adnan
17d8d092-73b8-44fb-bf48-5cea7b29e3fc
Granell, Raquel
06e9e006-3754-4cc9-b3fc-42024bd05123
Roberts, Graham
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Holloway, John W.
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Arshad, Syed Hasan
917e246d-2e60-472f-8d30-94b01ef28958
Woodcock, Ashley
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Devereux, Graham
c3123d52-d2fc-4147-938d-e9cf4ca9f821
STELAR/UNICORN investigators
Cucco, Alex
31cc7a9c-9751-4603-9b20-6b860fabc09f
Simpson, Angela
5591f945-0ead-46a3-a866-b7bea84a2a83
Haider, Sadia
ed3296e0-288d-49b1-befb-fe4545a7278e
Murray, Clare
aca69df6-149c-401c-842f-5b2d8042edf1
Turner, Stephen
f901f3b7-f5fd-48ad-8e0f-b870260ce5cd
Cullinan, Paul
b5b2eb0a-9fb9-4d4b-af18-5109de92d742
Filippi, Sarah
3796a978-320b-4151-8b68-b29c0f7d70a2
Fontanella, Sara
6c29b69f-edd6-4414-a8fd-c47241976aa5
Custovic, Adnan
17d8d092-73b8-44fb-bf48-5cea7b29e3fc
Granell, Raquel
06e9e006-3754-4cc9-b3fc-42024bd05123
Roberts, Graham
ea00db4e-84e7-4b39-8273-9b71dbd7e2f3
Holloway, John W.
4bbd77e6-c095-445d-a36b-a50a72f6fe1a
Arshad, Syed Hasan
917e246d-2e60-472f-8d30-94b01ef28958
Woodcock, Ashley
b13cf094-8318-42ef-b8ed-2f4b8d8770f3
Devereux, Graham
c3123d52-d2fc-4147-938d-e9cf4ca9f821

STELAR/UNICORN investigators (2025) Patterns of respiratory symptoms and asthma diagnosis in school-age children: three birth cohorts. Allergy: European Journal of Allergy and Clinical Immunology, 80 (7), 1923-1934. (doi:10.1111/all.16617).

Record type: Article

Abstract

Background: Many studies used information on wheeze presence/absence to determine asthma-related phenotypes. We investigated whether clinically intuitive asthma subtypes can be identified by applying data-driven semi-supervised techniques to information on frequency and triggers of different respiratory symptoms. Methods: Partitioning Around Medoids clustering was applied to data on multiple symptoms and their triggers in school-age children from three birth cohorts: MAAS (n = 947, age 8 years), SEATON (n = 763, age 10) and ASHFORD (n = 584, age 8). ‘Guided’ clustering, incorporating asthma diagnosis, was used to select the optimal number of clusters. Results: Five-cluster solution was optimal. Based on their clinical characteristics, including frequency of asthma diagnosis, we interpreted one cluster as ‘Healthy’. Two clusters were characterised by high asthma prevalence (95.89% and 78.13%). We assigned children with asthma in these two clusters as ‘persistent, multiple-trigger, more severe’ (PMTS) and ‘persistent, triggered by infection, milder’ (PIM). Children with asthma in the remaining two clusters were assigned as ‘mild-remitting wheeze’ (MRW) and ‘post-bronchiolitis resolving asthma’ (PBRA). PBRA was associated with RSV bronchiolitis in infancy. In most children with asthma in this cluster wheezing resolved by age 5–6, and predominant symptoms were shortness of breath and chest tightness. Children in PBRA had the highest hospitalisation rates and wheeze exacerbations in infancy. From age 8 years (cluster derivation) to early adulthood (18–20 years), lung function was significantly lower, and FeNO and airway hyperreactivity significantly higher in PMTS compared to all other clusters. Conclusions: Patterns of coexisting symptoms identified by semi-supervised data-driven methods may reflect pathophysiological mechanisms of distinct subtypes of childhood wheezing disorders.

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Allergy - 2025 - Cucco - Patterns of Respiratory Symptoms and Asthma Diagnosis in School‐Age Children Three Birth Cohorts - Version of Record
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Accepted/In Press date: 31 March 2025
e-pub ahead of print date: 12 June 2025
Keywords: asthma, birth cohorts, childhood, clustering, RSV bronchiolitis

Identifiers

Local EPrints ID: 505034
URI: http://eprints.soton.ac.uk/id/eprint/505034
ISSN: 0105-4538
PURE UUID: f33946e5-3633-489b-adb1-226d4fac21f3
ORCID for Graham Roberts: ORCID iD orcid.org/0000-0003-2252-1248
ORCID for John W. Holloway: ORCID iD orcid.org/0000-0001-9998-0464

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Date deposited: 24 Sep 2025 16:52
Last modified: 25 Sep 2025 01:40

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Contributors

Author: Alex Cucco
Author: Angela Simpson
Author: Sadia Haider
Author: Clare Murray
Author: Stephen Turner
Author: Paul Cullinan
Author: Sarah Filippi
Author: Sara Fontanella
Author: Adnan Custovic
Author: Raquel Granell
Author: Graham Roberts ORCID iD
Author: Ashley Woodcock
Author: Graham Devereux
Corporate Author: STELAR/UNICORN investigators

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