Can childhood asthma be predicted at birth?

Area of Science:

• Pediatric Allergy and Immunology
• Respiratory Medicine
• Epidemiology

Background:

• Early life interventions are crucial for asthma prevention, but identifying at-risk infants at birth remains a significant challenge.
• Lack of a clearly defined high-risk population at birth hinders effective asthma prevention strategies.

Purpose of the Study:

• To evaluate the predictive accuracy of factors available at birth for identifying asthma and rhinitis at 10 years of age.
• To assess the capacity of birth-related data to predict allergic respiratory diseases in childhood.

Main Methods:

• A cohort of 614 healthy term infants had lung function measured at birth.
• Follow-up at 10 years included structured interviews and allergy skin prick tests (SPT).
• Logistic regression models analyzed birth questionnaire data, lung function, cord blood IgE, and soluble CD14 to predict asthma and rhinitis history.

Main Results:

• Models demonstrated moderate predictability for a history of asthma (AUC 0.74) and current asthma (AUC 0.72) at 10 years.
• The best model predicted a history of asthma correctly in 75% of affected children but had low positive predictive values overall (19-61%).
• Predicting a 'healthy' outcome (no asthma, no rhinitis, negative SPT) showed the highest positive predictive value.

Conclusions:

• While some predictive capacity exists at birth for asthma history, it's insufficient for precise targeting of early interventions.
• Interventions based on current predictive models would likely be initiated in a majority of children who do not develop the disease.
• Parental history of allergic disease alone is inadequate for identifying high-risk populations for future asthma and allergy studies.