Publication

Predictive value of serum sST2 in preschool wheezers for development of asthma with high FeNO

Ketelaar, M. E., van de Kant, K. D. G., Dijk, F. N., Klaassen, E. M. M., Grotenboer, N., Nawijn, M. C., Dompeling, E. & Koppelman, G. H., Nov-2017, In : Allergy. 72, 11, p. 1811-1815 5 p.

Research output: Contribution to journalComment/Letter to the editorAcademicpeer-review

APA

Ketelaar, M. E., van de Kant, K. D. G., Dijk, F. N., Klaassen, E. M. M., Grotenboer, N., Nawijn, M. C., Dompeling, E., & Koppelman, G. H. (2017). Predictive value of serum sST2 in preschool wheezers for development of asthma with high FeNO. Allergy, 72(11), 1811-1815. https://doi.org/10.1111/all.13193

Author

Ketelaar, Maria E ; van de Kant, Kim D G ; Dijk, F Nicole ; Klaassen, Ester M M ; Grotenboer, Néomie ; Nawijn, Martijn C ; Dompeling, Edward ; Koppelman, Gerard H. / Predictive value of serum sST2 in preschool wheezers for development of asthma with high FeNO. In: Allergy. 2017 ; Vol. 72, No. 11. pp. 1811-1815.

Harvard

Ketelaar, ME, van de Kant, KDG, Dijk, FN, Klaassen, EMM, Grotenboer, N, Nawijn, MC, Dompeling, E & Koppelman, GH 2017, 'Predictive value of serum sST2 in preschool wheezers for development of asthma with high FeNO', Allergy, vol. 72, no. 11, pp. 1811-1815. https://doi.org/10.1111/all.13193

Standard

Predictive value of serum sST2 in preschool wheezers for development of asthma with high FeNO. / Ketelaar, Maria E; van de Kant, Kim D G; Dijk, F Nicole; Klaassen, Ester M M; Grotenboer, Néomie; Nawijn, Martijn C; Dompeling, Edward; Koppelman, Gerard H.

In: Allergy, Vol. 72, No. 11, 11.2017, p. 1811-1815.

Research output: Contribution to journalComment/Letter to the editorAcademicpeer-review

Vancouver

Ketelaar ME, van de Kant KDG, Dijk FN, Klaassen EMM, Grotenboer N, Nawijn MC et al. Predictive value of serum sST2 in preschool wheezers for development of asthma with high FeNO. Allergy. 2017 Nov;72(11):1811-1815. https://doi.org/10.1111/all.13193


BibTeX

@article{f4ea1fcdc1504f3ca7731f8a35c7e1d4,
title = "Predictive value of serum sST2 in preschool wheezers for development of asthma with high FeNO",
abstract = "Wheezing is common in childhood. However, current prediction models of pediatric asthma have only modest accuracy. Novel biomarkers and definition of subphenotypes may improve asthma prediction. Interleukin-1-receptor-like-1 (IL1RL1 or ST2) is a well-replicated asthma gene and associates with eosinophilia. We investigated whether serum sST2 predicts asthma and asthma with elevated exhaled NO (FeNO), compared to the commonly used Asthma Prediction Index (API). Using logistic regression modeling, we found that serum sST2 levels in 2-3 years-old wheezers do not predict doctors' diagnosed asthma at age 6 years. Instead, sST2 predicts a subphenotype of asthma characterized by increased levels of FeNO, a marker for eosinophilic airway inflammation. Herein, sST2 improved the predictive value of the API (AUC=0.70, 95% CI 0.56-0.84), but had also significant predictive value on its own (AUC=0.65, 95% CI 0.52-0.79). Our study indicates that sST2 in preschool wheezers has predictive value for the development of eosinophilic airway inflammation in asthmatic children at school age.",
keywords = "childhood asthma, fraction of exhaled NO, prediction, preschool wheezers, serum sST2, EXHALED NITRIC-OXIDE, SOLUBLE ST2, ALLERGIC-ASTHMA, CHILDREN, IL-33, INFLAMMATION, BIOMARKERS, CHILDHOOD, IL1RL1, AGE",
author = "Ketelaar, {Maria E} and {van de Kant}, {Kim D G} and Dijk, {F Nicole} and Klaassen, {Ester M M} and N{\'e}omie Grotenboer and Nawijn, {Martijn C} and Edward Dompeling and Koppelman, {Gerard H}",
note = "This article is protected by copyright. All rights reserved.",
year = "2017",
month = nov,
doi = "10.1111/all.13193",
language = "English",
volume = "72",
pages = "1811--1815",
journal = "Allergy",
issn = "0105-4538",
publisher = "Wiley-Blackwell",
number = "11",

}

RIS

TY - JOUR

T1 - Predictive value of serum sST2 in preschool wheezers for development of asthma with high FeNO

AU - Ketelaar, Maria E

AU - van de Kant, Kim D G

AU - Dijk, F Nicole

AU - Klaassen, Ester M M

AU - Grotenboer, Néomie

AU - Nawijn, Martijn C

AU - Dompeling, Edward

AU - Koppelman, Gerard H

N1 - This article is protected by copyright. All rights reserved.

PY - 2017/11

Y1 - 2017/11

N2 - Wheezing is common in childhood. However, current prediction models of pediatric asthma have only modest accuracy. Novel biomarkers and definition of subphenotypes may improve asthma prediction. Interleukin-1-receptor-like-1 (IL1RL1 or ST2) is a well-replicated asthma gene and associates with eosinophilia. We investigated whether serum sST2 predicts asthma and asthma with elevated exhaled NO (FeNO), compared to the commonly used Asthma Prediction Index (API). Using logistic regression modeling, we found that serum sST2 levels in 2-3 years-old wheezers do not predict doctors' diagnosed asthma at age 6 years. Instead, sST2 predicts a subphenotype of asthma characterized by increased levels of FeNO, a marker for eosinophilic airway inflammation. Herein, sST2 improved the predictive value of the API (AUC=0.70, 95% CI 0.56-0.84), but had also significant predictive value on its own (AUC=0.65, 95% CI 0.52-0.79). Our study indicates that sST2 in preschool wheezers has predictive value for the development of eosinophilic airway inflammation in asthmatic children at school age.

AB - Wheezing is common in childhood. However, current prediction models of pediatric asthma have only modest accuracy. Novel biomarkers and definition of subphenotypes may improve asthma prediction. Interleukin-1-receptor-like-1 (IL1RL1 or ST2) is a well-replicated asthma gene and associates with eosinophilia. We investigated whether serum sST2 predicts asthma and asthma with elevated exhaled NO (FeNO), compared to the commonly used Asthma Prediction Index (API). Using logistic regression modeling, we found that serum sST2 levels in 2-3 years-old wheezers do not predict doctors' diagnosed asthma at age 6 years. Instead, sST2 predicts a subphenotype of asthma characterized by increased levels of FeNO, a marker for eosinophilic airway inflammation. Herein, sST2 improved the predictive value of the API (AUC=0.70, 95% CI 0.56-0.84), but had also significant predictive value on its own (AUC=0.65, 95% CI 0.52-0.79). Our study indicates that sST2 in preschool wheezers has predictive value for the development of eosinophilic airway inflammation in asthmatic children at school age.

KW - childhood asthma

KW - fraction of exhaled NO

KW - prediction

KW - preschool wheezers

KW - serum sST2

KW - EXHALED NITRIC-OXIDE

KW - SOLUBLE ST2

KW - ALLERGIC-ASTHMA

KW - CHILDREN

KW - IL-33

KW - INFLAMMATION

KW - BIOMARKERS

KW - CHILDHOOD

KW - IL1RL1

KW - AGE

U2 - 10.1111/all.13193

DO - 10.1111/all.13193

M3 - Comment/Letter to the editor

C2 - 28440062

VL - 72

SP - 1811

EP - 1815

JO - Allergy

JF - Allergy

SN - 0105-4538

IS - 11

ER -

ID: 41953739