2012
DOI: 10.1097/mcp.0b013e32834db288
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Predicting asthma exacerbations in children

Abstract: Purpose of the review To critically assess recently published literature on predicting asthma exacerbations in children, while also providing general recommendations for future research in this field. Recent findings Current evidence suggests that every effort should be made to provide optimal treatment to achieve adequate asthma control, as this will significantly reduce the risk of severe disease exacerbations. Children who have had at least one asthma exacerbation in the previous year are at highest risk … Show more

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Cited by 84 publications
(78 citation statements)
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References 42 publications
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“…Serum 25(OH)D level is a novel and modifiable potential risk marker for severe asthma exacerbations [55]. Taken together existing mechanistic and observational data support a role for vitamin D as an important factor in asthma and infection.…”
Section: Future Recommendationsmentioning
confidence: 83%
“…Serum 25(OH)D level is a novel and modifiable potential risk marker for severe asthma exacerbations [55]. Taken together existing mechanistic and observational data support a role for vitamin D as an important factor in asthma and infection.…”
Section: Future Recommendationsmentioning
confidence: 83%
“…It is clear that better studies about adherence to treatments are needed, and that more homogeneous outcomes and study design would be useful in order to reach conclusions. For clinicians, it seems evident that efforts directed at improving, evaluating and measuring adherence should be a routine component of asthma care [63]. The recognition of nonadherence is an important first step towards optimal asthma control.…”
Section: Discussionmentioning
confidence: 99%
“…In childhood asthma, acute exacerbations are one of the main causes for emergency department visits [1,2,3,4,5]. Whereas the use of anti-inflammatory therapy in moderate to severe asthmatics is well established, strategies to prevent asthma exacerbations (AEs) in young children with intermittent asthma are unclear.…”
Section: Introductionmentioning
confidence: 99%
“…Predictive models use clinical variables, healthcare data, pulmonary function testing (PFT), and biomarkers [4]. Data from young children are rare, because most studies only enroll children of the age of 6 years and older, and the outcome parameters are usually severe and not moderate AEs.…”
Section: Introductionmentioning
confidence: 99%