Effect of enterovirus infections on asthma in young children: A national cohort study

Eur J Clin Invest. 2017 Dec;47(12). doi: 10.1111/eci.12844. Epub 2017 Nov 7.

Abstract

Background: We conducted a cohort study to determine the relationship between enterovirus (EV) infection and asthma.

Materials and methods: From the National Health Insurance Research Database of Taiwan, we identified patients who received a new diagnosis of asthma and concurrent treatment between January 2000 and December 2011 (EV cohort: n = 208 213; non-EV cohort: n = 208 213). Cox proportional hazards regression analysis was performed to determine and compare the adjusted hazard ratios (aHRs) of asthma between these 2 cohorts. Kaplan-Meier analysis was conducted to assess the differences in the cumulative incidence curves of asthma between the 2 cohorts.

Results: The overall aHR of asthma was 1.48-fold higher in the EV cohort than in the non-EV cohort (95% confidence interval = 1.45-1.50). The aHR of asthma was higher in the EV cohort than in the non-EV cohort, comprising children aged ≤5 years, regardless of sex, sociodemographic factors (urbanization level and parental occupation) or comorbidities. The risk of asthma was higher in 1-3, 4-6, 7-9 and 10-12 months (all P < .001), particularly in those with a higher frequency of admission (>5 per year).

Conclusion: The incidence of asthma was higher in the EV cohort than in the non-EV cohort, comprising children aged ≤5 years, regardless of sex, urbanization level, parental occupation or season. In particular, the risk of asthma was higher in children with a higher frequency of admission, even in the absence of atopy or other respiratory infections.

Keywords: asthma; cohort study; enterovirus.

MeSH terms

  • Asthma / epidemiology*
  • Child, Preschool
  • Cohort Studies
  • Databases, Factual
  • Enterovirus Infections / epidemiology*
  • Female
  • Humans
  • Incidence
  • Infant
  • Infant, Newborn
  • Kaplan-Meier Estimate
  • Male
  • Multivariate Analysis
  • Proportional Hazards Models
  • Retrospective Studies
  • Risk Factors
  • Taiwan / epidemiology