Exploring the prevalence and chest CT predictors of Long COVID in children: a comprehensive study from Shanghai and Linyi

被引：0

作者：

Yin, Yong ^{[1
,2
,3
,4
,5
,6
]}

Yang, Guijun ^{[2
]}

Wang, Na ^{[1
]}

Zeng, Mei ^{[2
]}

Jiang, Hejun ^{[2
]}

Yuan, Shuhua ^{[2
]}

Wu, Jinhong ^{[2
]}

Zhang, Jing ^{[2
]}

Cui, Juan ^{[1
]}

Zhou, Guifang ^{[1
]}

Yang, Xin ^{[1
]}

Zhang, Yunqin ^{[1
]}

Sun, Zhichao ^{[1
]}

Yuan, Jiajun ^{[4
,5
,7
]}

Lin, Jilei ^{[2
,4
,5
,6
]}

Chen, Jiande ^{[2
]}

Tang, Mingyu ^{[2
]}

Chen, Jing ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Linyi Maternal & Child Hlth Care Hosp, Dept Resp Med, Linyi Branch,Shanghai Childrens Med Ctr,Sch Med, Linyi, Shandong, Peoples R China

[2] Shanghai Jiao Tong Univ, Shanghai Childrens Med Ctr, Sch Med, Dept Resp Med, Shanghai, Peoples R China

[3] Shanghai Childrens Med Ctr, Pediat Med Complex Pudong, Shanghai, Peoples R China

[4] Shanghai Childrens Med Ctr, Pediat AI Clin Applicat & Res Ctr, Shanghai, Peoples R China

[5] Shanghai Engn Res Ctr Intelligence Pediat SERCIP, Shanghai, Peoples R China

[6] Shanghai Jiao Tong Univ, China Hosp Dev Inst, Child Hlth Advocacy Inst, Shanghai, Peoples R China

[7] Shanghai Jiao Tong Univ, Shanghai Childrens Med Ctr, Sch Med, Med Dept, Shanghai, Peoples R China

来源：

FRONTIERS IN PEDIATRICS | 2024年 / 12卷

关键词：

long COVID; respiratory tract infections; children; CT abnormalities; predictive factors; DISEASE; 2019; COVID-19; INFECTION;

D O I：

10.3389/fped.2024.1420196

中图分类号：

R72 [儿科学];

学科分类号：

100202 ;

摘要：

Introduction COVID-19 constitutes a pandemic of significant detriment to human health. This study aimed to investigate the prevalence of Long COVID following SARS-CoV-2 infection, analyze the potential predictors of chest CT for the development of Long COVID in children.Methods A cohort of children who visited the respiratory outpatient clinics at Shanghai Children's Medical Center or Linyi Maternal and Child Health Care Hospital from December 2022 to February 2023 and underwent chest CT scans within 1 week was followed up. Data on clinical characteristics, Long COVID symptoms, and chest CT manifestations were collected and analyzed. Multivariate logistic regression models and decision tree models were employed to identify factors associated with Long COVID.Results A total of 416 children were included in the study. Among 277 children who completed the follow-up, the prevalence of Long COVID was 23.1%. Chronic cough, fatigue, brain fog, and post-exertional malaise were the most commonly reported symptoms. In the decision tree model for Long COVID, the presence of increased vascular markings, the absence of normal CT findings, and younger age were identified as predictors associated with a higher likelihood of developing Long COVID in children. However, no significant correlation was found between chest CT abnormality and the occurrence of Long COVID.Discussion Long COVID in children presents a complex challenge with a significant prevalence rate of 23.1%. Chest CT scans of children post-SARS-CoV-2 infection, identified as abnormal with increased vascular markings, indicate a higher risk of developing Long COVID.

引用

页数：13

共 40 条

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