Published in:
Open Access 01-12-2016 | Research article
Relationship of influenza virus infection to associated infections in children who present with influenza-like symptoms
Published in: BMC Infectious Diseases | Issue 1/2016
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Background
Influenza virus is a major health care burden and is associated with significant morbidity and mortality. Data on morbidity and complications (pneumonia, otitis media) related to influenza virus infection in primary care settings are limited with reports mainly obtained from hospital settings. We assessed the prevalence of complications from viral/bacterial infections in influenza- positive compared with influenza- negative children presenting with influenza-like illness (ILI) in a primary care setting.
Methods
This retrospective, practice-based chart review studied complications from viral/bacterial infections in 255 children and adolescents (females/males, 1-21 years) who presented with ILI. We also compared the prevalence of complications by influenza vaccination status between influenza positive (N = 32/121) and influenza negative (N = 50/134) cases (2013-2015). Comparisons for categorical variables were made using chi-squared tests.
Results
The prevalence of complications was similar in influenza positive (18/121) and influenza negative (22/134) patients (P = NS). Patients presenting with ILI, who were vaccinated, were less likely to test positive for influenza compared with patients who were not vaccinated (P = 0.064). However, prevalence of infections was similar in both groups based on vaccination status. We did not find any effect of type of health insurance on influenza status (P > 0.05)
Conclusion
Common respiratory complications of seasonal influenza did not differ in influenza positive compared with influenza negative patients. Vaccination with influenza vaccine may result in decreased duration or severity of symptoms, and remains an important public health intervention. In primary care settings, determination of influenza status may be an important tool for clinicians to predict the likelihood of complications.