Author links open overlay panel, , , , , AbstractBackgroundDuring the coronavirus disease 2019 (Covid-19) pandemic, rigorous infection control measures led to a decrease in the incidence of various infectious diseases. In this study, we investigated the clinical characteristics of acute otitis media (AOM) children during the post-Covid-19 period at a primary emergency medical center.
MethodsWe retrospectively reviewed children with AOM who visited Kobe Children's Primary Emergency Medical Center between April 2017 and March 2024. Patients with AOM or suppurative otitis media were included. We defined each fiscal year (FY) as the period from April to the following March. We defined the “pre-Covid-19 period” as FY2017–2019, the “Covid-19 period” as FY2020–2022, and “post-Covid-19 period” as FY2023.
ResultsA total of 2078 AOM cases were included. The mean age at presentation was 3.5 years. A significant difference in age was present across the three FY time periods. The age during the post-Covid-19 period was significantly higher than that during the pre-Covid-19 period using the pairwise comparisons (p < 0.05). In a multivariate analysis between the pre-Covid-19 and post-Covid-19 periods, age at onset (95 % confidence intervals: 1.02–1.11) was the only independent factor associated with the post-Covid-19 period. Between the Covid-19 and post-Covid-19 periods, age at onset (95 % confidence intervals: 1.02–1.15) and body temperature (95 % confidence intervals: 1.05–1.40) were significantly associated with the post-Covid-19 period.
ConclusionsA multifactorial effect may have contributed to the increase in age at the onset of AOM during the post-Covid-19 period compared with the other study periods.
KeywordsAcute otitis media
Hemophilus influenza vaccine
Pneumococcal vaccine
Post Covid-19
View Abstract© 2025 Japanese Society of Chemotherapy, Japanese Association for Infectious Diseases, and Japanese Society for Infection Prevention and Control. Published by Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
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