Association of influenza outbreaks with advanced pediatric medical support

Epidemiol Infect. 2018 Aug;146(11):1366-1371. doi: 10.1017/S0950268818001383. Epub 2018 May 30.

Abstract

Retrospective data evaluated increases in advanced medical support for children with medically attended acute respiratory illness (MAARI) during influenza outbreak periods (IOP). Advanced support included hospitalisation, intensive care unit admission, or mechanical ventilation, for children aged 0-17 years hospitalised in Maryland's 50 acute-care hospitals over 12 influenza seasons. Weekly numbers of positive influenza tests in the Maryland area defined IOP for each season as the fewest consecutive weeks, including the peak week containing at least 85% of positive tests with a 2-week buffer on either side of the IOP. Peak IOP (PIOP) was defined as four consecutive weeks containing the peak week with the most number of positive influenza tests. Off-PIOP was defined as the 'shoulder' weeks during each IOP. Non-influenza season (NIS) was the remaining weeks of that study season. Rate ratios of mean daily MAARI-related admissions resulting in advanced medical support outcomes during PIOP or Off-PIOP were compared with the NIS and were significantly elevated for all 12 study seasons combined. The results suggest that influenza outbreaks are associated with increased advanced medical support utilisation by children with MAARI. We feel that this data may help preparedness for severe influenza epidemics or pandemic.

Keywords: Advanced medical support; hospitalisation; influenza; intensive care unit; mechanical ventilation.

MeSH terms

  • Acute Disease
  • Adolescent
  • Child
  • Child, Preschool
  • Disease Outbreaks / statistics & numerical data*
  • Female
  • Hospitalization / statistics & numerical data
  • Humans
  • Infant
  • Influenza, Human / epidemiology*
  • Influenza, Human / therapy
  • Intensive Care Units, Pediatric / statistics & numerical data
  • Male
  • Maryland / epidemiology
  • Poisson Distribution
  • Respiration, Artificial / statistics & numerical data
  • Respiratory Tract Diseases / epidemiology
  • Respiratory Tract Diseases / therapy
  • Retrospective Studies