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- HyunSeo Park, Hogyeong Kang, Siyeong Yoon, Simho Jeong, and Soonchul Lee.
- CHA University School of Medicine, 120 Hyeryong-ro, Pocheon-si 11160, Gyeonggi-do, Republic of Korea.
- Medicina (Kaunas). 2023 Sep 15; 59 (9).
AbstractBackground and Objectives: Restrictions on daily activities to slow down the propagation of COVID-19 have changed the epidemiological pattern of pediatric fractures in many countries. However, the effect of the pandemic on pediatric fractures has not been fully studied. In this study, we investigated the impact of COVID-19 on early adolescent fractures in Korea. Materials and methods: We conducted a retrospective follow-up on a nationwide cohort of Korean early adolescents born between 2006 and 2009. The prevalence and incidence of pediatric fractures and the frequency of surgical treatment were compared between two different eras. Results: The prevalence and incidence of fractures during the pandemic have both shown a significant decrease: prevalence reduced from 34,626 to 24,789 (p < 0.001), while incidence decreased from 29,804 to 18,898 (p < 0.001). Considering sex, the shift in fracture prevalence was statistically significant (p = 0.020), whereas the incidence was not (p = 0.862). The decline in both fracture prevalence and incidence exhibited significant variation across birth year groups (prevalence, p < 0.001; incidence, p < 0.001), with a more pronounced reduction observed in the older age groups. While the proportion of patients who required surgeries has increased, the mean frequency of surgical treatment per patient remained at a similar level (by prevalence, p = 0.181; by incidence, p = 0.735). The decline in both fracture prevalence and incidence has shown significant variation in relation to fracture sites (prevalence, p < 0.001; incidence, p < 0.001), with a decrease in distal limb fractures and an increase in forearm and axial body fractures. Conclusions: The pediatric fracture pattern in Korea has been notably influenced by the COVID-19 pandemic, warranting further investigation into causal factors. Our findings should help predict epidemiology in the post-pandemic period and thus aid policymaking and patient management.
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