Development and validation of asthma diagnostic scale for children

Area of Science:

• Pediatric Pulmonology
• Allergy and Immunology
• Diagnostic Scale Development

Background:

• Asthma diagnosis in children under 6 presents challenges due to overlapping symptoms with other respiratory conditions.
• Lack of standardized diagnostic criteria for early childhood asthma leads to potential misdiagnosis and delayed treatment.

Purpose of the Study:

• To construct and validate a reliable asthma diagnostic scale specifically for children under 6 years old.
• To address the unmet need for accurate asthma diagnosis in the pediatric population.

Main Methods:

• Development involved an electronic medical record database, literature review, and expert consensus (Delphi method).
• Statistical analyses included t-tests, factor analysis, reliability, and validity testing.
• Logistic regression and ROC curve analysis were used to assess predictive accuracy, with validation in a separate cohort.

Main Results:

• The scale comprises five dimensions assessing respiratory symptoms, allergy indicators, and airflow reversibility.
• The developed scale demonstrated an Area Under the ROC Curve (AUC) of 0.737 with 59.1% sensitivity and 81.2% specificity in the initial cohort.
• Validation in a separate database yielded an AUC of 0.614, with 76.2% sensitivity and 46.7% specificity.

Conclusions:

• The asthma diagnostic scale shows significant potential for aiding asthma diagnosis in young children.
• The scale can help reduce missed and incorrect diagnoses, thereby improving health outcomes.
• Further validation and clinical implementation are recommended to optimize its utility in pediatric asthma management.