Literature DB >> 21749459

Limited agreement between current and long-term asthma control in children: the PACMAN cohort study.

Ellen S Koster1, Jan A M Raaijmakers, Susanne J H Vijverberg, Leo Koenderman, Dirkje S Postma, Gerard H Koppelman, Cornelis K van der Ent, Anke-Hilse Maitland-van der Zee.   

Abstract

BACKGROUND: Several studies have shown that predictors of asthma treatment outcomes differ depending on the definition of the outcome chosen. This provides evidence that different outcomes studied may reflect distinct aspects of asthma control. To assess predictors of asthma control, we need firm outcome phenotypes. The aim of this study was to investigate the association between measurements of current and long-term asthma control.
METHODS: We included 527 children using inhaled corticosteroids participating in the Pharmacogenetics of Asthma medication in Children: Medication with ANti-inflammatory effects cohort. Current asthma control (previous week) was defined using the Asthma Control Questionnaire. Long-term asthma control was based on Global Initiative for Asthma guidelines. Not well-controlled asthma in a season was defined as ≥ 3 of the following items present in a season: (i) day-time or (ii) night-time symptoms, (iii) limitations in activities, and (iv) rescue medication use. Asthma control during (i) the previous season and (ii) the year preceding the pharmacy visit was used as long-term asthma control definitions. Current and long-term asthma control were compared to investigate agreement.
RESULTS: Long-term uncontrolled asthma rates were highest in autumn and winter (50%) and lowest in summer (32%) (p < 0.05). Overall agreement between current and long-term asthma control was limited (66% for previous season and 68% for previous year).
CONCLUSION: Congruence between current and long-term asthma control was limited. Furthermore, we showed significant seasonal differences. It is therefore important to calculate asthma control over a longer period of time, instead of using current asthma control as indicator.
© 2011 John Wiley & Sons A/S.

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Year:  2011        PMID: 21749459     DOI: 10.1111/j.1399-3038.2011.01188.x

Source DB:  PubMed          Journal:  Pediatr Allergy Immunol        ISSN: 0905-6157            Impact factor:   6.377


  8 in total

1.  Determinants of longitudinal health-related quality-of-life change in children with asthma from low-income families: a report from the PROMIS® Pediatric Asthma Study.

Authors:  Z Li; W L Leite; L A Thompson; H E Gross; E A Shenkman; B B Reeve; D A DeWalt; I-C Huang
Journal:  Clin Exp Allergy       Date:  2016-10-21       Impact factor: 5.018

2.  The relationships between asthma control, daytime sleepiness, and quality of life among children with asthma: a path analysis.

Authors:  Zheng Li; I-Chan Huang; Lindsay Thompson; Sanjeev Tuli; Shih-Wen Huang; Darren DeWalt; Dennis Revicki; Elizabeth Shenkman
Journal:  Sleep Med       Date:  2013-05-16       Impact factor: 3.492

3.  An item-level response shift study on the change of health state with the rating of asthma-specific quality of life: a report from the PROMIS(®) Pediatric Asthma Study.

Authors:  Pranav K Gandhi; Carolyn E Schwartz; Bryce B Reeve; Darren A DeWalt; Heather E Gross; I-Chan Huang
Journal:  Qual Life Res       Date:  2016-04-09       Impact factor: 4.147

4.  ST13 polymorphisms and their effect on exacerbations in steroid-treated asthmatic children and young adults.

Authors:  S J H Vijverberg; E S Koster; R Tavendale; M Leusink; L Koenderman; J A M Raaijmakers; D S Postma; G H Koppelman; S W Turner; S Mukhopadhyay; S M Tse; K G Tantisira; D B Hawcutt; B Francis; M Pirmohamed; M Pino-Yanes; C Eng; E G Burchard; C N A Palmer; A H Maitland-van der Zee
Journal:  Clin Exp Allergy       Date:  2015-06       Impact factor: 5.018

5.  Exploring factors influencing asthma control and asthma-specific health-related quality of life among children.

Authors:  Pranav K Gandhi; Kelly M Kenzik; Lindsay A Thompson; Darren A DeWalt; Dennis A Revicki; Elizabeth A Shenkman; I-Chan Huang
Journal:  Respir Res       Date:  2013-02-23

6.  The course of asthma in young adults: a population-based nine-year follow-up on asthma remission and control.

Authors:  Lucia Cazzoletti; Angelo Guido Corsico; Federica Albicini; Eti Maria Giulia Di Vincenzo; Erica Gini; Amelia Grosso; Vanessa Ronzoni; Massimiliano Bugiani; Pietro Pirina; Isa Cerveri
Journal:  PLoS One       Date:  2014-01-29       Impact factor: 3.240

7.  e-Monitoring of Asthma Therapy to Improve Compliance in children using a real-time medication monitoring system (RTMM): the e-MATIC study protocol.

Authors:  Erwin C Vasbinder; Hettie M Janssens; Maureen P M H Rutten-van Mölken; Liset van Dijk; Brenda C M de Winter; Ruben C A de Groot; Arnold G Vulto; Patricia M L A van den Bemt
Journal:  BMC Med Inform Decis Mak       Date:  2013-03-21       Impact factor: 2.796

8.  Inflammatory phenotypes underlying uncontrolled childhood asthma despite inhaled corticosteroid treatment: rationale and design of the PACMAN2 study.

Authors:  Susanne J H Vijverberg; Leo Koenderman; Francine C van Erp; Cornelis K van der Ent; Dirkje S Postma; Paul Brinkman; Peter J Sterk; Jan A M Raaijmakers; Anke-Hilse Maitland-van der Zee
Journal:  BMC Pediatr       Date:  2013-06-15       Impact factor: 2.125

  8 in total

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