Development of a Symptom-Based Tool for Screening of Children at High Risk of Preschool Asthma

Author:

Reyna Myrtha E.1,Dai Ruixue1,Tran Maxwell M.1,Breton Vanessa1,Medeleanu Maria1,Lou Wendy Y. W.2,Foong Rachel E.34,Emmerson Melanie5,Dharma Christoffer2,Miliku Kozeta16,Lefebvre Diana L.6,Simons Elinor7,Azad Meghan B.7,Chan-Yeung Moira8,Becker Allan B.7,Mandhane Piush J.9,Turvey Stuart E.10,Hall Graham L.34,Moraes Theo J.1,Sears Malcolm R.6,Subbarao Padmaja12

Affiliation:

1. Department of Pediatrics, The Hospital for Sick Children, Toronto, Ontario, Canada

2. Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada

3. Wal-yan Respiratory Centre, Children's Lung Health, Telethon Kids Institute, Perth, Western Australia, Australia

4. School of Allied Health, Curtin University, Perth, Western Australia, Australia

5. Department of Precision Genomics, Intermountain Healthcare, Salt Lake City, Utah

6. Department of Medicine, McMaster University, Hamilton, Ontario, Canada

7. Department of Pediatrics and Child Health, University of Manitoba, Manitoba, Winnipeg, Canada

8. Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada

9. Department of Pediatrics, University of Alberta, Edmonton, Alberta, Canada

10. Department of Pediatrics, BC Children’s Hospital, The University of British Columbia, Vancouver, British Columbia, Canada

Abstract

ImportanceDespite 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.ObjectiveTo 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 ParticipantsThe 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.ExposuresThe 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 MeasuresWithin 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.ResultsAmong 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 RelevanceIn 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.

Publisher

American Medical Association (AMA)

Subject

General Medicine

Reference30 articles.

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