Long-COVID in children and their parents: A prospective cohort study

儿童及其父母的长期新冠症状:一项前瞻性队列研究

阅读:1

Abstract

BACKGROUND: Long-COVID is a significant global health concern, regardless of age. However, few reports have longitudinally evaluated the characteristics, prevalence, and risk factors of long-COVID in children. METHODS: Participants were Japanese children younger than 18 years hospitalized for COVID-19 between November 2021 and October 2022, along with their COVID-19 affected parents. During hospitalization and at 1-, 3-, and 6-month follow-ups, participants completed age-appropriate questionnaires on long-COVID symptoms. The quality of life (QOL) score was assessed in children older than 2 years. The prevalence of long-COVID symptoms by age group was compared. Multivariable logistic regression analysis was conducted to investigate risk factors affecting long-COVID. Analysis of covariance adjusted for potential confounders was conducted to determine which symptoms affect QOL score. RESULTS: Of 108 children enrolled, the prevalence of long-COVID was 44.9%, 37.8%, and 22.8% at 1, 3, and 6 months, respectively, after SARS-CoV-2 infection. There were no specific risk factors for long-COVID. Cough, fatigue, and sleep disturbance were the most common long-COVID symptoms, with sleep disturbance associated with a change in lower QOL score from admission at all three follow-ups (mean difference 9.25, 20.15, and 19.81; 95% CI, 1.58-16.91, 3.38-36.92, and 5.51-34.11). The prevalence of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) symptoms among 0-6 years was significantly lower than among 7-17 years and parents; there was no significant difference between 7 and 17 years and parents. CONCLUSION: Even 6 months after SARS-CoV-2 infection, 22.8% of pediatric patients still had long-COVID symptoms. Some of these symptoms were similar to those of ME/CFS, potentially affecting children's QOL.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。