Literature DB >> 30691705

Practical and Conceptual Considerations for the Primary Prevention of Asthma.

Steven M Brunwasser1, Tina V Hartert2.   

Abstract

Asthma is among the most common chronic diseases worldwide and is a significant contributor to the global health burden, highlighting the urgent need for primary prevention. This article outlines several practical and conceptual challenges that accompany primary prevention efforts. It advocates for improved predictive modeling to identify those at high-risk of developing asthma using automated algorithms within electronic medical records systems and explanatory modeling to refine understanding of causal pathways. Understanding the many issues that are likely to affect the success of primary prevention efforts helps the community of individuals invested in asthma prevention organize efforts and maximize their impact.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Asthma; Explanatory models; Implementation; Prediction models; Primary prevention

Mesh:

Year:  2018        PMID: 30691705      PMCID: PMC6355160          DOI: 10.1016/j.ccm.2018.10.002

Source DB:  PubMed          Journal:  Clin Chest Med        ISSN: 0272-5231            Impact factor:   2.878


  59 in total

1.  A clinical index to define risk of asthma in young children with recurrent wheezing.

Authors:  J A Castro-Rodríguez; C J Holberg; A L Wright; F D Martinez
Journal:  Am J Respir Crit Care Med       Date:  2000-10       Impact factor: 21.405

Review 2.  Obesity: insight into the origins of asthma.

Authors:  Scott T Weiss
Journal:  Nat Immunol       Date:  2005-06       Impact factor: 25.606

Review 3.  Asthma endotypes: a new approach to classification of disease entities within the asthma syndrome.

Authors:  Jan Lötvall; Cezmi A Akdis; Leonard B Bacharier; Leif Bjermer; Thomas B Casale; Adnan Custovic; Robert F Lemanske; Andrew J Wardlaw; Sally E Wenzel; Paul A Greenberger
Journal:  J Allergy Clin Immunol       Date:  2011-02       Impact factor: 10.793

4.  Global burden of asthma among children.

Authors:  I Asher; N Pearce
Journal:  Int J Tuberc Lung Dis       Date:  2014-11       Impact factor: 2.373

5.  Genome-wide interaction study of dust mite allergen on lung function in children with asthma.

Authors:  Erick Forno; Joanne Sordillo; John Brehm; Wei Chen; Takis Benos; Qi Yan; Lydiana Avila; Manuel Soto-Quirós; Michelle M Cloutier; Angel Colón-Semidey; Maria Alvarez; Edna Acosta-Pérez; Scott T Weiss; Augusto A Litonjua; Glorisa Canino; Juan C Celedón
Journal:  J Allergy Clin Immunol       Date:  2017-02-04       Impact factor: 10.793

Review 6.  The infant gut bacterial microbiota and risk of pediatric asthma and allergic diseases.

Authors:  Christine C Johnson; Dennis R Ownby
Journal:  Transl Res       Date:  2016-07-09       Impact factor: 7.012

Review 7.  Smoke exposure, wheezing, and asthma development: a systematic review and meta-analysis in unselected birth cohorts.

Authors:  Michela Silvestri; Sara Franchi; Angela Pistorio; Loredana Petecchia; Franca Rusconi
Journal:  Pediatr Pulmonol       Date:  2014-03-20

8.  Respiratory syncytial virus immunoprophylaxis in high-risk infants and development of childhood asthma.

Authors:  Kecia N Carroll; Tebeb Gebretsadik; Gabriel J Escobar; Pingsheng Wu; Sherian Xu Li; Eileen M Walsh; Ed Mitchel; Chantel D Sloan; William D Dupont; Tina V Hartert
Journal:  J Allergy Clin Immunol       Date:  2016-04-21       Impact factor: 10.793

9.  Data-driven asthma endotypes defined from blood biomarker and gene expression data.

Authors:  Barbara Jane George; David M Reif; Jane E Gallagher; ClarLynda R Williams-DeVane; Brooke L Heidenfelder; Edward E Hudgens; Wendell Jones; Lucas Neas; Elaine A Cohen Hubal; Stephen W Edwards
Journal:  PLoS One       Date:  2015-02-02       Impact factor: 3.240

10.  Common pitfalls in statistical analysis: Intention-to-treat versus per-protocol analysis.

Authors:  Priya Ranganathan; C S Pramesh; Rakesh Aggarwal
Journal:  Perspect Clin Res       Date:  2016 Jul-Sep
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