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Development of a Symptom-Based Tool for Screening of Children at High Risk of Preschool Asthma
Myrtha E Reyna1, Ruixue Dai1, Maxwell M Tran1
1Department of Pediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada.
Insights
A new screening tool, the CHILDhood Asthma Risk Tool (CHART), effectively identifies preschool children at high risk for asthma and persistent wheeze. This tool can be used in primary care to guide early intervention and management strategies.
Area of Science:
- Pediatric Pulmonology
- Diagnostic Accuracy Studies
- Epidemiology
Background:
- Asthma remains a significant health burden in preschool children, necessitating early identification of high-risk individuals.
- Current asthma prediction tools often require invasive methods, limiting their use in primary care and resource-limited settings.
Purpose of the Study:
- To develop and validate a symptom-based screening tool, the CHILDhood Asthma Risk Tool (CHART), for identifying children at high risk of developing asthma, experiencing persistent wheeze, and requiring significant healthcare utilization.
Main Methods:
- The CHART tool was developed using data from the CHILD Study, identifying key factors associated with asthma at age 3.
- CHART's predictive accuracy was evaluated against specialist diagnosis and the modified Asthma Predictive Index (mAPI) within the CHILD Study cohort.
- External validation of CHART was performed in two independent cohorts: the Raine Study (general population) and the Canadian Asthma Primary Prevention Study (CAPPS) (high-risk).
Main Results:
- In the CHILD Study, CHART demonstrated superior predictive performance compared to physician assessment and mAPI for persistent wheeze (AUROC, 0.94), asthma diagnosis (AUROC, 0.73), and healthcare use (AUROC, 0.70).
- External validation confirmed CHART's robust predictive accuracy for persistent wheeze in the Raine Study (AUROC, 0.82) and CAPPS (AUROC, 0.87).
Conclusions:
- The CHART tool effectively identifies children at high risk for asthma as early as age 3.
- CHART's ease of use and strong predictive performance make it suitable for routine primary care screening, enabling timely monitoring and intervention for at-risk children.
Importance:
Despite advances in asthma therapeutics, the burden remains highest in preschool children; therefore, it is critical to identify primary care tools that distinguish preschool children at high risk for burdensome disease for further evaluation. Current asthma prediction tools, such as the modified Asthma Predictive Index (mAPI), require invasive tests, limiting their applicability in primary care and low-resource settings.
Objective:
To develop and evaluate the use of a symptom-based screening tool to detect children at high risk of asthma, persistent wheeze symptoms, and health care burden.
Design, Setting, And Participants:
The cohort for this diagnostic study included participants from the CHILD Study (n = 2511) from January 1, 2008, to December 31, 2012, the Raine Study from January 1, 1989, to December 31, 2012 (n = 2185), and the Canadian Asthma Primary Prevention Study (CAPPS) from January 1, 1989, to December 31, 1995 (n = 349), with active follow-up to date. Data analysis was performed from November 1, 2019, to May 31, 2022.
Exposures:
The CHILDhood Asthma Risk Tool (CHART) identified factors associated with asthma in patients at 3 years of age (timing and number of wheeze or cough episodes, use of asthma medications, and emergency department visits or hospitalizations for asthma or wheeze) to identify children with asthma or persistent symptoms at 5 years of age.
Main Outcomes And Measures:
Within the CHILD Study cohort, CHART was evaluated against specialist clinician diagnosis and the mAPI. External validation was performed in both a general population cohort (Raine Study [Australia]) and a high-risk cohort (CAPPS [Canada]). Predictive accuracy was measured by sensitivity, specificity, area under the receiver operating characteristic curve (AUROC), and positive and negative predicted values.
Results:
Among 2511 children (mean [SD] age at 3-year clinic visit, 3.08 [0.17] years; 1324 [52.7%] male; 1608 of 2476 [64.9%] White) with sufficient questionnaire data to apply CHART at 3 years of age, 2354 (93.7%) had available outcome data at 5 years of age. CHART applied in the CHILD Study at 3 years of age outperformed physician assessments and the mAPI in predicting persistent wheeze (AUROC, 0.94; 95% CI, 0.90-0.97), asthma diagnosis (AUROC, 0.73; 95% CI, 0.69-0.77), and health care use (emergency department visits or hospitalization for wheeze or asthma) (AUROC, 0.70; 95% CI, 0.61-0.78). CHART had a similar predictive performance for persistent wheeze in the Raine Study (N = 2185) in children at 5 years of age (AUROC, 0.82; 95% CI, 0.79-0.86) and CAPPS (N = 349) at 7 years of age (AUROC, 0.87; 95% CI, 0.80-0.94).
Conclusions And Relevance:
In this diagnostic study, CHART was able to identify children at high risk of asthma at as early as 3 years of age. CHART could be easily incorporated as a routine screening tool in primary care to identify children who need monitoring, timely symptom control, and introduction of preventive therapies.
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