Dataset Information

Clinical Characteristics of Children With COVID-19: A Meta-Analysis.

ABSTRACT: Background: With the global spread of novel coronavirus disease 2019 (COVID-19), health care systems are facing formidable challenges. Scientists are conducting studies to explore this new disease, and numerous studies have been shared. However, the number of studies on children with COVID-19 is limited, and no meta-analysis of this group has been performed. Methods: A random-effect meta-analysis was conducted to determine the characteristics of children with COVID-19, including their demographic, epidemiological, clinical, laboratory, imaging features, and outcomes. Four databases and reference lists were screened. Percentages were calculated, and pooled prevalence with 95% confidence intervals (CIs) were reported. Results: Of 195 studies, 33 were selected, and 14 (371 patients) of them were included in the meta-analysis. Then, 19 case reports (25 patients) were summarized separately. Our meta-analysis revealed that 17.4% (95% CI = 9.1-27.3) of children had asymptomatic infection. Fever (51.2%, 95% CI = 40.2-62.2) and cough (37.0%, 95% CI = 25.9-48.8) were the most frequent symptoms. The prevalence of severe or critical illness was almost 0% (95% CI = 0-1.0). The most frequent abnormal laboratory findings, in pediatric patients, were leukopenia/lymphopenia (28.9%, 95% CI = 19.5-39.2) and increased creatine kinase (20.1%, 95% CI = 1.3-49.9). Ground-glass opacity was observed in the CT scan of 53.9% (95% CI = 38.4-68.7) of children diagnosed with pneumonia. Conclusions: Children are at a lower risk of developing COVID-19 and have a milder disease than adults. However, the evidence presented in this study is not satisfactory. Further investigations are urgently needed, and our data will be continuously updated.

SUBMITTER: Ding Y

PROVIDER: S-EPMC7350605 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Clinical Characteristics of Children With COVID-19: A Meta-Analysis.

Ding Yudan Y Yan Haohao H Guo Wenbin W

Frontiers in pediatrics 20200703

<b>Background:</b> With the global spread of novel coronavirus disease 2019 (COVID-19), health care systems are facing formidable challenges. Scientists are conducting studies to explore this new disease, and numerous studies have been shared. However, the number of studies on children with COVID-19 is limited, and no meta-analysis of this group has been performed. <b>Methods:</b> A random-effect meta-analysis was conducted to determine the characteristics of children with COVID-19, including th ...[more]

PMID: 32719759

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Project description:BackgroundSeveral individual studies from specific countries have reported rising numbers of pediatric COVID-19 cases with inconsistent reports on the clinical symptoms including respiratory and gastrointestinal symptoms as well as diverse reports on the mean age and household exposure in children. The epidemiological characteristics of COVID-19 in children are not fully understood, hence, comprehensive meta-analyses are needed to provide a better understanding of these characteristics.MethodsThis review was conducted in Medline, Scopus, Cochrane library, Embase, Web of Science, and published reports on COVID-19 in children. Data were extracted by two independent researchers and a third researcher resolved disputes. STATA software and the random-effect model were used in the synthesis of our data. For each model, the heterogeneity between studies was estimated using the Q Cochrane test. Heterogeneity and publication bias were calculated using the I2 statistic and Egger's/Begg's tests.ResultsThe qualitative systematic review was performed on 32 articles. Furthermore, the meta-analysis estimated an overall rate of involvement at 12% (95% CI: 9-15%) among children, with an I2 of 98.36%. The proportion of household exposure was calculated to be 50.99% (95% CI: 20.80%-80.80%) and the proportion of admitted cases was calculated to be 45% (95% CI: 24%-67%). Additionally, the prevalence of cough, fatigue, fever and dyspnea was calculated to be 25% (95% CI: 0.16-0.36), 9% (95% CI: 0.03-0.18), 33% (95% CI: 0.21-0.47) and 9% (95% CI: 0.04-0.15), respectively. It is estimated that 4% (95% CI: 1-8%) of cases required intensive care unit admission.ConclusionsThe pediatric clinical picture of COVID-19 is not simply a classic respiratory infection, but unusual presentations have been reported. Given the high incidence of household transmission and atypical clinical presentation in children, we strongly recommend their inclusion in research and population-based preventive measures like vaccination as well as clinical trials to ensure efficacy, safety, and tolerability in this age group.

Project description:(1) Background: The global threat of Coronavirus disease 2019 (COVID-19) continues. The diversity of clinical characteristics and progress are reported in many countries as the duration of the pandemic is prolonged. We aimed to perform a novel systematic review and meta-analysis focusing on findings about correlations between clinical characteristics and laboratory features of patients with COVID-19. (2) Methods: We analyzed cases of COVID-19 in different countries by searching PubMed, Embase, Web of Science databases and Google Scholar, from the early stage of the outbreak to late March. Clinical characteristics, laboratory findings, and treatment strategies were retrospectively reviewed for the analysis. (3) Results: Thirty-seven (n = 5196 participants) COVID-19-related studies were eligible for this systematic review and meta-analysis. Fever, cough and fatigue/myalgia were the most common symptoms of COVID-19, followed by some gastrointestinal symptoms which are also reported frequently. Laboratory markers of inflammation and infection including C-reactive protein (CRP) (65% (95% confidence interval (CI) 56-81%)) were elevated, while lymphocyte counts were decreased (63% (95% CI 47-78%)). Meta-analysis of treatment approaches indicated that three modalities of treatment were predominantly used in the majority of patients with a similar prevalence, including antiviral agents (79%), antibiotics (78%), and oxygen therapy (77%). Age was negatively correlated with number of lymphocytes, but positively correlated with dyspnea, number of white blood cells, neutrophils, and D-dimer. Chills had been proved to be positively correlated with chest tightness, lung abnormalities on computed tomography (CT) scans, neutrophil/lymphocyte/platelets count, D-dimer and CRP, cough was positively correlated with sputum production, and pulmonary abnormalities were positively correlated with CRP. White blood cell (WBC) count was also positively correlated with platelet counts, dyspnea, and neutrophil counts with the respective correlations of 0.668, 0.728, and 0.696. (4) Conclusions: This paper is the first systematic review and meta-analysis to reveal the relationship between various variables of clinical characteristics, symptoms and laboratory results with the largest number of papers and patients until now. In elderly patients, laboratory and clinical characteristics indicate a more severe disease course. Moreover, treatments such as antiviral agents, antibiotics, and oxygen therapy which are used in over three quarters of patients are also analyzed. The results will provide "evidence-based hope" on how to manage this unanticipated and overwhelming pandemic.

Project description:IntroductionThe novel coronavirus pandemic is an ongoing challenge faced by the public and health care systems around the globe. Majority of information and evidence gathered so far regarding COVID-19 has been derived from data and studies in adult populations. Crucial information regarding the characterization, clinical symptomatology, sequelae, and overall outcomes in the pediatric population is lacking. As such, we aimed to conduct a comprehensive meta-analysis and systematic review to collect and analyze current evidence about COVID-19 in the pediatric population.MethodA systematic search and review of scientific literatures was conducted following the PRISMA guidelines using PubMed, Embase, Scopus, Medline, and Google Scholar databases. All relevant studies until June 16, 2020 were included. Studies were reviewed for methodological quality, and random-effects model was used to conduct the primary meta-analysis. I2 value and Egger's test was used to estimate heterogeneity and publication bias respectively.ResultsWe reviewed 20 eligible studies that included 1810 pediatric patient population (<21 yo) with PCR tested COVID-19 positivity. In pooled data, majority (25 % [CI 18-32], I2 59 %) of overall COVID-19 positive patients fell in the 6-10 yr age group. 13 % ([CI 11-14], I2 78 %) of the patients were asymptomatic, with headache (67 % [CI 60-74], I2 46 %), fever (55 % [CI 52-58], I2 61 %), and cough (45 % [CI 42-49], I2 79 %) accounting for the most prevalent physical signs seen in symptomatic patients. Leukopenia (12 % [CI 9-15], I250 %) and lymphopenia (15 % [CI 13-19], I2 85 %) was common. Elevated Ferritin (26 % [CI 16-40], I2 73 %), Procal (25 % [CI 21-29 %], I2 83 %), and CRP (19 % [CI 16-22 %], I2 74 %) were other laboratory abnormalities commonly observed. Common radiological features were ground-glass opacities (36 % [CI 32-39 %], I2 92 %), normal finding (33 % [CI 30-36 %], I2 81 %), and consolidation. 29 % ([CI 26-33], I2 85 %) of the patient cases was non-severe, whereas only 5 % ([CI 1-8], I2 87 %) was severe. Mortality was observed in 0.3 % ([CI 0.1-0.4], I2 0%) of the overall cases.ConclusionCOVID-19 is prevalent across all pediatric age-groups and presents with varying degree of symptomology. However, children have a milder course of the disease with extremely favorable prognosis. Laboratory and radiological features are inconsistent and require further investigations. Additional studies are needed on this topic to corroborate findings and establish evidence-based and consistent characterization of COVID-19 in the pediatric population.

Dataset Information

Clinical Characteristics of Children With COVID-19: A Meta-Analysis.

Publications

Clinical Characteristics of Children With COVID-19: A Meta-Analysis.

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