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Risk factors associated with the development of chronic suppurative otitis media in children: Systematic review and
Elliot Heward1,2, Haroon Saeed1,2, Sebastian Bate2,3
1Division of Infection, Immunity and Respiratory Medicine, Faculty of Biology, Medicine and Health, School of Biological Sciences, University of Manchester, Manchester, UK.
Objectives:
Chronic suppurative otitis media (CSOM) is defined as persistent discharge through a tympanic membrane perforation for greater than 2 weeks. It is associated with a significant disease burden, including hearing loss, and reducing its incidence could significantly improve short- and long-term health. We aimed to identify risk factors associated with the development of CSOM in children.
Design And Setting:
Systematic review and meta-analysis of studies set in community, primary and secondary care settings, identified from Medline, Embase and Cochrane databases from 2000 to 2022.
Participants:
Children 16 years old and below.
Main Outcome Measures:
Clinical diagnosis of CSOM.
Results:
In total, 739 papers were screened, with 12 deemed eligible for inclusion in the systematic review, of which, 10 were included in the meta-analysis. Risk factors examined included perinatal, patient, dietary, environmental and parental factors. Meta-analysis results indicate that atopy (RR = 1.18, 95% CI [1.01-1.37], p = .04, 2 studies); and birth weight <2500 g (RR = 1.79 [1.27-2.50], p < .01, 2 studies) are associated with an increased risk of CSOM development. Factors not associated were male sex (RR = 0.96 [0.82-1.13], p = .62, 8 studies); exposure to passive smoking (RR = 1.27 [0.81-2.01], p = .30, 3 studies); and parental history of otitis media (RR = 1.14 [0.59-2.20], p = .69, 2 studies).
Conclusion:
Optimal management of risk factors associated with CSOM development will help reduce the burden of disease and prevent disease progression or recurrence. The current quality of evidence in the literature is variable and heterogeneous. Future studies should aim to use standardised classification systems to define risk factors to allow meta-analysis.
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