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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 journal › Comment/Letter to the editor › Academic › peer-review
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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 journal › Comment/Letter to the editor › Academic › peer-review
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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