Title |
Predicting asthma in preschool children with asthma symptoms: study rationale and design
|
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Published in |
BMC Pulmonary Medicine, October 2012
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DOI | 10.1186/1471-2466-12-65 |
Pubmed ID | |
Authors |
Esther Hafkamp-de Groen, Hester F Lingsma, Daan Caudri, Alet Wijga, Vincent WV Jaddoe, Ewout W Steyerberg, Johan C de Jongste, Hein Raat |
Abstract |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Spain | 1 | 10% |
Argentina | 1 | 10% |
Unknown | 8 | 80% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 8 | 80% |
Scientists | 1 | 10% |
Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Netherlands | 1 | 3% |
India | 1 | 3% |
Unknown | 30 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 8 | 25% |
Student > Doctoral Student | 4 | 13% |
Student > Master | 3 | 9% |
Researcher | 3 | 9% |
Professor | 2 | 6% |
Other | 4 | 13% |
Unknown | 8 | 25% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 12 | 38% |
Nursing and Health Professions | 2 | 6% |
Computer Science | 2 | 6% |
Agricultural and Biological Sciences | 2 | 6% |
Social Sciences | 1 | 3% |
Other | 1 | 3% |
Unknown | 12 | 38% |