Article ; Online: Composite predictive models for asthma exacerbations or asthma deterioration in pediatric asthmatic patients: A systematic review of the literature.
2023 Volume 58, Issue 10, Page(s) 2703–2718
Abstract: A variety of factors have shown to be useful in predicting which children are at high risk for future asthma exacerbations, some of them combined into composite predictive models. The objective of the present review was to systematically identify all the ...
| Abstract | A variety of factors have shown to be useful in predicting which children are at high risk for future asthma exacerbations, some of them combined into composite predictive models. The objective of the present review was to systematically identify all the available published composite predictive models developed for predicting which children are at high risk for future asthma exacerbations or asthma deterioration. A systematic search of the literature was performed to identify studies in which a composite predictive model developed for predicting which children are at high risk for future asthma exacerbations or asthma deterioration was described. Methodological quality assessment was performed using accepted criteria for prediction rules and prognostic models. A total of 18 articles, describing a total of 17 composite predictive models were identified and included in the review. The number of predictors included in the models ranged from 2-149. Upon analyzing the content of the models, use of healthcare services for asthma and prescribed or dispensed asthma medications were the most frequently used items (in 8/17, 47.0% of the models). Seven (41.2%) models fulfilled all the quality criteria considered in our evaluation. The identified models may help clinicians dealing with asthmatic children to identify which children are at a higher risk for future asthma exacerbations or asthma deterioration, therefore targeting and/or reinforcing specific interventions for these children in an attempt to prevent exacerbations or deterioration of the disease. |
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| MeSH term(s) | Child ; Humans ; Anti-Asthmatic Agents/therapeutic use ; Disease Progression ; Asthma/drug therapy ; Asthma/epidemiology |
| Chemical Substances | Anti-Asthmatic Agents |
| Language | English |
| Publishing date | 2023-07-05 |
| Publishing country | United States |
| Document type | Systematic Review ; Journal Article ; Review |
| ZDB-ID | 632784-9 |
| ISSN | 1099-0496 ; 8755-6863 |
| ISSN (online) | 1099-0496 |
| ISSN | 8755-6863 |
| DOI | 10.1002/ppul.26584 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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