Dynamics of respiratory symptoms during infancy and associations with wheezing at school age
Children with frequent respiratory symptoms in infancy have an increased risk for later wheezing, but the association with symptom dynamics is unknown. We developed an observer-independent method to characterise symptom dynamics and tested their association with subsequent respiratory morbidity. In...
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2018-11-01
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doaj-5c5a70e394f3496f8b666a1eb57f19d52020-11-25T00:08:19ZengEuropean Respiratory SocietyERJ Open Research2312-05412018-11-014410.1183/23120541.00037-201800037-2018Dynamics of respiratory symptoms during infancy and associations with wheezing at school ageJakob Usemann0Binbin Xu1Edgar Delgado-Eckert2Insa Korten3Pinelopi Anagnostopoulou4Olga Gorlanova5Claudia Kuehni6Martin Röösli7Philipp Latzin8Urs Frey9The current Basel–Bern Infant Lung Development (BILD) cohort study groupPinelopi AnagnostopoulouUrs FreyOliver FuchsOlga GorlanovaInsa KortenClaudia KuehniPhilipp LatzinElena ProiettiMartin RöösliAnne SchmidtJakob Usemann University Children's Hospital Basel (UKBB), Basel, Switzerland University Children's Hospital Basel (UKBB), Basel, Switzerland University Children's Hospital Basel (UKBB), Basel, Switzerland University Children's Hospital Basel (UKBB), Basel, Switzerland Paediatric Respiratory Medicine, Dept of Paediatrics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland University Children's Hospital Basel (UKBB), Basel, Switzerland Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland Swiss Tropical and Public Health Institute Basel, Basel, Switzerland University Children's Hospital Basel (UKBB), Basel, Switzerland University Children's Hospital Basel (UKBB), Basel, Switzerland Children with frequent respiratory symptoms in infancy have an increased risk for later wheezing, but the association with symptom dynamics is unknown. We developed an observer-independent method to characterise symptom dynamics and tested their association with subsequent respiratory morbidity. In this birth-cohort of healthy neonates, we prospectively assessed weekly respiratory symptoms during infancy, resulting in a time series of 52 symptom scores. For each infant, we calculated the transition probability between two consecutive symptom scores. We used these transition probabilities to construct a Markov matrix, which characterised symptom dynamics quantitatively using an entropy parameter. Using this parameter, we determined phenotypes by hierarchical clustering. We then studied the association between phenotypes and wheezing at 6 years. In 322 children with complete data for symptom scores during infancy (16 864 observations), we identified three dynamic phenotypes. Compared to the low-risk phenotype, the high-risk phenotype, defined by the highest entropy parameter, was associated with an increased risk of wheezing (odds ratio (OR) 3.01, 95% CI 1.15–7.88) at 6 years. In this phenotype, infants were more often male (64%) and had been exposed to environmental tobacco smoke (31%). In addition, more infants had siblings (67%) and attended childcare (38%). We describe a novel method to objectively characterise dynamics of respiratory symptoms in infancy, which helps identify abnormal clinical susceptibility and recovery patterns of infant airways associated with persistent wheezing.http://openres.ersjournals.com/content/4/4/00037-2018.full |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jakob Usemann Binbin Xu Edgar Delgado-Eckert Insa Korten Pinelopi Anagnostopoulou Olga Gorlanova Claudia Kuehni Martin Röösli Philipp Latzin Urs Frey The current Basel–Bern Infant Lung Development (BILD) cohort study group Pinelopi Anagnostopoulou Urs Frey Oliver Fuchs Olga Gorlanova Insa Korten Claudia Kuehni Philipp Latzin Elena Proietti Martin Röösli Anne Schmidt Jakob Usemann |
spellingShingle |
Jakob Usemann Binbin Xu Edgar Delgado-Eckert Insa Korten Pinelopi Anagnostopoulou Olga Gorlanova Claudia Kuehni Martin Röösli Philipp Latzin Urs Frey The current Basel–Bern Infant Lung Development (BILD) cohort study group Pinelopi Anagnostopoulou Urs Frey Oliver Fuchs Olga Gorlanova Insa Korten Claudia Kuehni Philipp Latzin Elena Proietti Martin Röösli Anne Schmidt Jakob Usemann Dynamics of respiratory symptoms during infancy and associations with wheezing at school age ERJ Open Research |
author_facet |
Jakob Usemann Binbin Xu Edgar Delgado-Eckert Insa Korten Pinelopi Anagnostopoulou Olga Gorlanova Claudia Kuehni Martin Röösli Philipp Latzin Urs Frey The current Basel–Bern Infant Lung Development (BILD) cohort study group Pinelopi Anagnostopoulou Urs Frey Oliver Fuchs Olga Gorlanova Insa Korten Claudia Kuehni Philipp Latzin Elena Proietti Martin Röösli Anne Schmidt Jakob Usemann |
author_sort |
Jakob Usemann |
title |
Dynamics of respiratory symptoms during infancy and associations with wheezing at school age |
title_short |
Dynamics of respiratory symptoms during infancy and associations with wheezing at school age |
title_full |
Dynamics of respiratory symptoms during infancy and associations with wheezing at school age |
title_fullStr |
Dynamics of respiratory symptoms during infancy and associations with wheezing at school age |
title_full_unstemmed |
Dynamics of respiratory symptoms during infancy and associations with wheezing at school age |
title_sort |
dynamics of respiratory symptoms during infancy and associations with wheezing at school age |
publisher |
European Respiratory Society |
series |
ERJ Open Research |
issn |
2312-0541 |
publishDate |
2018-11-01 |
description |
Children with frequent respiratory symptoms in infancy have an increased risk for later wheezing, but the association with symptom dynamics is unknown. We developed an observer-independent method to characterise symptom dynamics and tested their association with subsequent respiratory morbidity. In this birth-cohort of healthy neonates, we prospectively assessed weekly respiratory symptoms during infancy, resulting in a time series of 52 symptom scores. For each infant, we calculated the transition probability between two consecutive symptom scores. We used these transition probabilities to construct a Markov matrix, which characterised symptom dynamics quantitatively using an entropy parameter. Using this parameter, we determined phenotypes by hierarchical clustering. We then studied the association between phenotypes and wheezing at 6 years. In 322 children with complete data for symptom scores during infancy (16 864 observations), we identified three dynamic phenotypes. Compared to the low-risk phenotype, the high-risk phenotype, defined by the highest entropy parameter, was associated with an increased risk of wheezing (odds ratio (OR) 3.01, 95% CI 1.15–7.88) at 6 years. In this phenotype, infants were more often male (64%) and had been exposed to environmental tobacco smoke (31%). In addition, more infants had siblings (67%) and attended childcare (38%). We describe a novel method to objectively characterise dynamics of respiratory symptoms in infancy, which helps identify abnormal clinical susceptibility and recovery patterns of infant airways associated with persistent wheezing. |
url |
http://openres.ersjournals.com/content/4/4/00037-2018.full |
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