Literature DB >> 22022892

A simple tool to identify infants at high risk of mild to severe childhood asthma: the persistent asthma predictive score.

Amandine Vial Dupuy1, Flore Amat, Bruno Pereira, André Labbe, Jocelyne Just.   

Abstract

BACKGROUND: Recurrent wheezing in infants is a recognized risk factor for the development of childhood asthma. We sought to develop an easy-to-use persistent asthma predictive score (PAPS) in a population of young recurrent wheezers.
METHODS: We retrospectively studied clinical and biological data of infants under 2 years of age presenting recurrent wheezing and evaluated current asthma at 6 years of age using the International Study of Asthma and Allergies in Childhood (ISAAC) questionnaire. Multivariate analysis was performed to select predictive variables to generate a PAPS. The score was then tested on another cohort for independent validation.
RESULTS: Two hundred infants were included in the cohort used to create the PAPS, and 227 in the validation cohort. In the first population, 47% of the children had developed asthma at 6 years of age, including 33% with mild to severe persistent asthma. Three parameters independently predicted persistent asthma: family history of asthma, personal atopic dermatitis, and multiple allergen sensitizations. Based on these variables, the PAPS showed 42% sensitivity, 90% specificity, 67% positive predictive value, and 76% negative predictive value for the prediction of persistent asthma. It was able to discriminate future persistent asthmatic from nonfuture persistent asthmatic children, with an accuracy of 74% in the initial population and 67% in the validation population.
CONCLUSIONS: The PAPS, based on three easy-to-obtain variables, could help the physician in clinical practice to identify infants at high risk for persistent childhood asthma, and thus better evaluate the need for secondary preventive measures.

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Year:  2011        PMID: 22022892     DOI: 10.3109/02770903.2011.626481

Source DB:  PubMed          Journal:  J Asthma        ISSN: 0277-0903            Impact factor:   2.515


  8 in total

1.  Development of Sensitization to Multiple Allergen Molecules from Preschool to School Age Is Related to Asthma.

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Journal:  Int Arch Allergy Immunol       Date:  2022-01-18       Impact factor: 3.767

2.  Evaluation of coughing and nasal discharge as early indicators for an increased risk to develop equine recurrent airway obstruction (RAO).

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Journal:  J Vet Intern Med       Date:  2014-01-13       Impact factor: 3.333

Review 3.  The Role of Sensitization to Allergen in Asthma Prediction and Prevention.

Authors:  Maria Moustaki; Ioanna Loukou; Sophia Tsabouri; Konstantinos Douros
Journal:  Front Pediatr       Date:  2017-07-31       Impact factor: 3.418

4.  Factors predicting persistence of early wheezing through childhood and adolescence: a systematic review of the literature.

Authors:  Carlos E Rodríguez-Martínez; Monica P Sossa-Briceño; Jose A Castro-Rodriguez
Journal:  J Asthma Allergy       Date:  2017-03-27

Review 5.  Preschool Wheezing: Trajectories and Long-Term Treatment.

Authors:  Valentina Fainardi; Angelica Santoro; Carlo Caffarelli
Journal:  Front Pediatr       Date:  2020-05-12       Impact factor: 3.418

Review 6.  A systematic review of predictive models for asthma development in children.

Authors:  Gang Luo; Flory L Nkoy; Bryan L Stone; Darell Schmick; Michael D Johnson
Journal:  BMC Med Inform Decis Mak       Date:  2015-11-28       Impact factor: 2.796

7.  Predicting phenotypes of asthma and eczema with machine learning.

Authors:  Mattia Cf Prosperi; Susana Marinho; Angela Simpson; Adnan Custovic; Iain E Buchan
Journal:  BMC Med Genomics       Date:  2014-05-08       Impact factor: 3.063

Review 8.  Risk Factors in Preschool Children for Predicting Asthma During the Preschool Age and the Early School Age: a Systematic Review and Meta-Analysis.

Authors:  Yixia Bao; Zhimin Chen; Enmei Liu; Li Xiang; Deyu Zhao; Jianguo Hong
Journal:  Curr Allergy Asthma Rep       Date:  2017-11-18       Impact factor: 4.806

  8 in total

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