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Clinical, laboratory, and imaging features of pediatric COVID-19: A systematic review and meta-analysis.
Qi, Kai; Zeng, Weibiao; Ye, Miao; Zheng, Li; Song, Chao; Hu, Sheng; Duan, Chuanhui; Wei, Yiping; Peng, Jinhua; Zhang, Wenxiong; Xu, Jianjun.
  • Qi K; Department of Cardiothoracic Surgery, The Second Affiliated Hospital of Nanchang University.
  • Zeng W; Department of Cardiothoracic Surgery, The Second Affiliated Hospital of Nanchang University.
  • Ye M; Medical College of Nanchang University.
  • Zheng L; Department of Gastroenterology Medicine, The Third Affiliated Hospital of Nanchang University, Nanchang, China.
  • Song C; Department of Cardiothoracic Surgery, The Second Affiliated Hospital of Nanchang University.
  • Hu S; Department of Cardiothoracic Surgery, The Second Affiliated Hospital of Nanchang University.
  • Duan C; Department of Cardiothoracic Surgery, The Second Affiliated Hospital of Nanchang University.
  • Wei Y; Department of Cardiothoracic Surgery, The Second Affiliated Hospital of Nanchang University.
  • Peng J; Department of Cardiothoracic Surgery, The Second Affiliated Hospital of Nanchang University.
  • Zhang W; Department of Cardiothoracic Surgery, The Second Affiliated Hospital of Nanchang University.
  • Xu J; Department of Cardiothoracic Surgery, The Second Affiliated Hospital of Nanchang University.
Medicine (Baltimore) ; 100(15): e25230, 2021 Apr 16.
Article in English | MEDLINE | ID: covidwho-1180669
ABSTRACT
ABSTRACT Pediatric cases of coronavirus disease 2019 (COVID-19) have been reported. This meta-analysis was aimed at describing the clinical, laboratory, and imaging characteristics of children with COVID-19 based on published data of pediatric COVID-19 cases.Search of PubMed, Embase, Web of Sciences, Science Direct, and Google Scholar for articles published until December 14, 2020, that described the clinical, laboratory, and imaging features of children with COVID-19. Data were extracted independently by 2 authors. Random-effects meta-analysis models were used to report pooled results.Clinical data from 2874 children with COVID-19 from 37 articles were finally included for quantitative analyses. Fever (48.5%, 95% CI 41.4%-55.6%) and cough (40.6%, 95% CI 33.9%-47.5%) were the most common symptoms; asymptomatic infection and severe cases, respectively, accounted for 27.7% (95% CI 19.7%-36.4%) patients and 1.1% of the 1933 patients included. Laboratory tests showed 5.5% (95% CI 2.8%-8.9%) of the patients had lymphopenia. The pooled prevalence of leukopenia was 7.3% (95% CI 3.4%-12.2%), and the C-reactive protein level was high in 14.0% (95% CI 6.8%-22.8%). Chest computed tomography showed unilateral and bilateral lesions, and ground-glass opacity in 29.4% (95% CI 24.8%-34.3%) and 24.7% (95% CI 18.2%-31.6%), and 32.9% (95% CI 25.3%-40.9%), respectively, and normal in approximately 36.0% (95% CI 27.7%-44.7%).We found that children with COVID-19 had relatively mild disease, with quite a lot of asymptomatic infections and low rate of severe illness. Data from more regions are needed to determine the prevention and treatment strategies for children with COVID-19.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Diagnostic Imaging / Symptom Assessment / COVID-19 Testing / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Limits: Child / Humans Language: English Journal: Medicine (Baltimore) Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Diagnostic Imaging / Symptom Assessment / COVID-19 Testing / COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Limits: Child / Humans Language: English Journal: Medicine (Baltimore) Year: 2021 Document Type: Article