Literature DB >> 24075230

Comparison of phenotypes of childhood wheeze and cough in 2 independent cohorts.

Ben D Spycher1, Michael Silverman, Anina M Pescatore, Caroline S Beardsmore, Claudia E Kuehni.   

Abstract

BACKGROUND: Among children with wheeze and recurrent cough there is great variation in clinical presentation and time course of the disease. We previously distinguished 5 phenotypes of wheeze and cough in early childhood by applying latent class analysis to longitudinal data from a population-based cohort (original cohort).
OBJECTIVE: To validate previously identified phenotypes of childhood cough and wheeze in an independent cohort.
METHODS: We included 903 children reporting wheeze or recurrent cough from an independent population-based cohort (validation cohort). As in the original cohort, we used latent class analysis to identify phenotypes on the basis of symptoms of wheeze and cough at 2 time points (preschool and school age) and objective measurements of atopy, lung function, and airway responsiveness (school age). Prognostic outcomes (wheeze, bronchodilator use, cough apart from colds) 5 years later were compared across phenotypes.
RESULTS: When using a 5-phenotype model, the analysis distinguished 3 phenotypes of wheeze and 2 of cough as in the original cohort. Two phenotypes were closely similar in both cohorts: Atopic persistent wheeze (persistent multiple trigger wheeze and chronic cough, atopy and reduced lung function, poor prognosis) and transient viral wheeze (early-onset transient wheeze with viral triggers, favorable prognosis). The other phenotypes differed more between cohorts. These differences might be explained by differences in age at measurements.
CONCLUSIONS: Applying the same method to 2 different cohorts, we consistently identified 2 phenotypes of wheeze (atopic persistent wheeze, transient viral wheeze), suggesting that these represent distinct disease processes. Differences found in other phenotypes suggest that the age when features are assessed is critical and should be considered carefully when defining phenotypes.
Copyright © 2013 American Academy of Allergy, Asthma & Immunology. Published by Mosby, Inc. All rights reserved.

Entities:  

Keywords:  ALSPAC; Avon Longitudinal Study of Parents and Children; BHR; BIC; BLRT; Bayesian Information Criterion; Bootstrap likelihood ratio test; Bronchial hyper-responsiveness; LCA; Latent class analysis; Wheeze; allergy; asthma; bronchial responsiveness; children; cluster analysis; cohort study; cough; latent class analysis; phenotypes

Mesh:

Year:  2013        PMID: 24075230     DOI: 10.1016/j.jaci.2013.08.002

Source DB:  PubMed          Journal:  J Allergy Clin Immunol        ISSN: 0091-6749            Impact factor:   10.793


  15 in total

1.  Preschool Wheeze is Not Asthma: A Clinical Dilemma - Authors' Reply.

Authors:  Siba Prosad Paul; Jayesh M Bhatt
Journal:  Indian J Pediatr       Date:  2015-05-22       Impact factor: 1.967

2.  Phenotypes of Recurrent Wheezing in Preschool Children: Identification by Latent Class Analysis and Utility in Prediction of Future Exacerbation.

Authors:  Anne M Fitzpatrick; Leonard B Bacharier; Theresa W Guilbert; Daniel J Jackson; Stanley J Szefler; Avraham Beigelman; Michael D Cabana; Ronina Covar; Fernando Holguin; Robert F Lemanske; Fernando D Martinez; Wayne Morgan; Wanda Phipatanakul; Jacqueline A Pongracic; Robert S Zeiger; David T Mauger
Journal:  J Allergy Clin Immunol Pract       Date:  2018-09-26

Review 3.  Distinguishing Asthma Phenotypes Using Machine Learning Approaches.

Authors:  Rebecca Howard; Magnus Rattray; Mattia Prosperi; Adnan Custovic
Journal:  Curr Allergy Asthma Rep       Date:  2015-07       Impact factor: 4.806

Review 4.  Asthma heterogeneity and severity.

Authors:  Tara F Carr; Eugene Bleecker
Journal:  World Allergy Organ J       Date:  2016-11-29       Impact factor: 4.084

Review 5.  Relationship of Allergy with Asthma: There Are More Than the Allergy "Eggs" in the Asthma "Basket".

Authors:  George V Guibas; Alexander G Mathioudakis; Marina Tsoumani; Sophia Tsabouri
Journal:  Front Pediatr       Date:  2017-04-28       Impact factor: 3.418

6.  Wheezing phenotypes and risk factors in early life: The ELFE cohort.

Authors:  Souheil Hallit; Benedicte Leynaert; Marie Christine Delmas; Steffi Rocchi; Jacques De Blic; Christophe Marguet; Emeline Scherer; Marie Noelle Dufourg; Corinne Bois; Gabriel Reboux; Laurence Millon; Marie Aline Charles; Chantal Raherison
Journal:  PLoS One       Date:  2018-04-27       Impact factor: 3.240

7.  The Swiss Paediatric Airway Cohort (SPAC).

Authors:  Eva S L Pedersen; Carmen C M de Jong; Cristina Ardura-Garcia; Juerg Barben; Carmen Casaulta; Urs Frey; Anja Jochmann; Philipp Latzin; Alexander Moeller; Nicolas Regamey; Florian Singer; Ben Spycher; Oliver Sutter; Myrofora Goutaki; Claudia E Kuehni
Journal:  ERJ Open Res       Date:  2018-11-20

8.  Dynamics of respiratory symptoms during infancy and associations with wheezing at school age.

Authors:  Jakob Usemann; Binbin Xu; Edgar Delgado-Eckert; Insa Korten; Pinelopi Anagnostopoulou; Olga Gorlanova; Claudia Kuehni; Martin Röösli; Philipp Latzin; Urs Frey
Journal:  ERJ Open Res       Date:  2018-11-20

Review 9.  The puzzle of immune phenotypes of childhood asthma.

Authors:  Katja Landgraf-Rauf; Bettina Anselm; Bianca Schaub
Journal:  Mol Cell Pediatr       Date:  2016-07-28

Review 10.  Identification of Asthma Subtypes Using Clustering Methodologies.

Authors:  Matea Deliu; Matthew Sperrin; Danielle Belgrave; Adnan Custovic
Journal:  Pulm Ther       Date:  2016-06-22
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.