Cargando…

Predicting asthma in preschool children with asthma symptoms: study rationale and design

BACKGROUND: In well-child care it is difficult to determine whether preschool children with asthma symptoms actually have or will develop asthma at school age. The PIAMA (Prevention and Incidence of Asthma and Mite Allergy) Risk Score has been proposed as an instrument that predicts asthma at school...

Descripción completa

Detalles Bibliográficos
Autores principales: Hafkamp-de Groen, Esther, Lingsma, Hester F, Caudri, Daan, Wijga, Alet, Jaddoe, Vincent WV, Steyerberg, Ewout W, de Jongste, Johan C, Raat, Hein
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3515509/
https://www.ncbi.nlm.nih.gov/pubmed/23067313
http://dx.doi.org/10.1186/1471-2466-12-65
_version_ 1782252196741513216
author Hafkamp-de Groen, Esther
Lingsma, Hester F
Caudri, Daan
Wijga, Alet
Jaddoe, Vincent WV
Steyerberg, Ewout W
de Jongste, Johan C
Raat, Hein
author_facet Hafkamp-de Groen, Esther
Lingsma, Hester F
Caudri, Daan
Wijga, Alet
Jaddoe, Vincent WV
Steyerberg, Ewout W
de Jongste, Johan C
Raat, Hein
author_sort Hafkamp-de Groen, Esther
collection PubMed
description BACKGROUND: In well-child care it is difficult to determine whether preschool children with asthma symptoms actually have or will develop asthma at school age. The PIAMA (Prevention and Incidence of Asthma and Mite Allergy) Risk Score has been proposed as an instrument that predicts asthma at school age, using eight easy obtainable parameters, assessed at the time of first asthma symptoms at preschool age. The aim of this study is to present the rationale and design of a study 1) to externally validate and update the PIAMA Risk Score, 2) to develop an Asthma Risk Appraisal Tool to predict asthma at school age in (specific subgroups of) preschool children with asthma symptoms and 3) to test implementation of the Asthma Risk Appraisal Tool in well-child care. METHODS AND DESIGN: The study will be performed within the framework of Generation R, a prospective multi-ethnic cohort study. In total, consent for postnatal follow-up was obtained from 7893 children, born between 2002 and 2006. At preschool age the PIAMA Risk Score will be assessed and used to predict asthma at school age. Discrimination (C-index) and calibration will be assessed for the external validation. We will study whether the predictive ability of the PIAMA Risk Score can be improved by removing or adding predictors (e.g. preterm birth). The (updated) PIAMA Risk Score will be converted to the Asthma Risk Appraisal Tool- to predict asthma at school age in preschool children with asthma symptoms. Additionally, we will conduct a pilot study to test implementation of the Asthma Risk Appraisal Tool in well-child care. DISCUSSION: Application of the Asthma Risk Appraisal Tool in well-child care will help to distinguish preschool children at high- and low-risk of developing asthma at school age when asthma symptoms appear. This study will increase knowledge about the validity of the PIAMA risk score and might improve risk assessment of developing asthma at school age in (specific subgroups of) preschool children, who present with asthma symptoms at well-child care.
format Online
Article
Text
id pubmed-3515509
institution National Center for Biotechnology Information
language English
publishDate 2012
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-35155092012-12-06 Predicting asthma in preschool children with asthma symptoms: study rationale and design Hafkamp-de Groen, Esther Lingsma, Hester F Caudri, Daan Wijga, Alet Jaddoe, Vincent WV Steyerberg, Ewout W de Jongste, Johan C Raat, Hein BMC Pulm Med Study Protocol BACKGROUND: In well-child care it is difficult to determine whether preschool children with asthma symptoms actually have or will develop asthma at school age. The PIAMA (Prevention and Incidence of Asthma and Mite Allergy) Risk Score has been proposed as an instrument that predicts asthma at school age, using eight easy obtainable parameters, assessed at the time of first asthma symptoms at preschool age. The aim of this study is to present the rationale and design of a study 1) to externally validate and update the PIAMA Risk Score, 2) to develop an Asthma Risk Appraisal Tool to predict asthma at school age in (specific subgroups of) preschool children with asthma symptoms and 3) to test implementation of the Asthma Risk Appraisal Tool in well-child care. METHODS AND DESIGN: The study will be performed within the framework of Generation R, a prospective multi-ethnic cohort study. In total, consent for postnatal follow-up was obtained from 7893 children, born between 2002 and 2006. At preschool age the PIAMA Risk Score will be assessed and used to predict asthma at school age. Discrimination (C-index) and calibration will be assessed for the external validation. We will study whether the predictive ability of the PIAMA Risk Score can be improved by removing or adding predictors (e.g. preterm birth). The (updated) PIAMA Risk Score will be converted to the Asthma Risk Appraisal Tool- to predict asthma at school age in preschool children with asthma symptoms. Additionally, we will conduct a pilot study to test implementation of the Asthma Risk Appraisal Tool in well-child care. DISCUSSION: Application of the Asthma Risk Appraisal Tool in well-child care will help to distinguish preschool children at high- and low-risk of developing asthma at school age when asthma symptoms appear. This study will increase knowledge about the validity of the PIAMA risk score and might improve risk assessment of developing asthma at school age in (specific subgroups of) preschool children, who present with asthma symptoms at well-child care. BioMed Central 2012-10-16 /pmc/articles/PMC3515509/ /pubmed/23067313 http://dx.doi.org/10.1186/1471-2466-12-65 Text en Copyright ©2012 Hafkamp-de Groen et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Study Protocol
Hafkamp-de Groen, Esther
Lingsma, Hester F
Caudri, Daan
Wijga, Alet
Jaddoe, Vincent WV
Steyerberg, Ewout W
de Jongste, Johan C
Raat, Hein
Predicting asthma in preschool children with asthma symptoms: study rationale and design
title Predicting asthma in preschool children with asthma symptoms: study rationale and design
title_full Predicting asthma in preschool children with asthma symptoms: study rationale and design
title_fullStr Predicting asthma in preschool children with asthma symptoms: study rationale and design
title_full_unstemmed Predicting asthma in preschool children with asthma symptoms: study rationale and design
title_short Predicting asthma in preschool children with asthma symptoms: study rationale and design
title_sort predicting asthma in preschool children with asthma symptoms: study rationale and design
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3515509/
https://www.ncbi.nlm.nih.gov/pubmed/23067313
http://dx.doi.org/10.1186/1471-2466-12-65
work_keys_str_mv AT hafkampdegroenesther predictingasthmainpreschoolchildrenwithasthmasymptomsstudyrationaleanddesign
AT lingsmahesterf predictingasthmainpreschoolchildrenwithasthmasymptomsstudyrationaleanddesign
AT caudridaan predictingasthmainpreschoolchildrenwithasthmasymptomsstudyrationaleanddesign
AT wijgaalet predictingasthmainpreschoolchildrenwithasthmasymptomsstudyrationaleanddesign
AT jaddoevincentwv predictingasthmainpreschoolchildrenwithasthmasymptomsstudyrationaleanddesign
AT steyerbergewoutw predictingasthmainpreschoolchildrenwithasthmasymptomsstudyrationaleanddesign
AT dejongstejohanc predictingasthmainpreschoolchildrenwithasthmasymptomsstudyrationaleanddesign
AT raathein predictingasthmainpreschoolchildrenwithasthmasymptomsstudyrationaleanddesign