SynthesisPediatric research2021
Risk profiles of severe illness in children with COVID-19: a meta-analysis of individual patients.
Synthesis in Pediatric research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.
- Prediction model developed on the basis of meta-analysis in the field of medicine: a systematic survey and methodological summaries.BMC medical research methodology · 2025Pooled it
- Clinical, biochemical, and genetic study of TACE/TNF-α/ACE signaling pathway in pediatric COVID-19 infection.Clinical and experimental pediatrics · 2024Article
- Predictive factors for COVID-19 severity and mortality in hospitalized children.BMC infectious diseases · 2024Article
- Diagnosis, treatment and prevention of severe acute respiratory syndrome coronavirus 2 infection in children: experts' consensus statement updated for the Omicron variant.World journal of pediatrics : WJP · 2024Article
- Hematocrit and Albumin Levels at Admission Predict in-Hospital Mortality in Pediatric COVID-19 Omicron Variant Patients.Infection and drug resistance · 2024Article
- Characteristics and Risk Factors Associated with SARS-CoV-2 Pneumonias in Hospitalized Pediatric Patients: A Pilot Study.Children (Basel, Switzerland) · 2023Article
- Risk factors for disease severity among children with Covid-19: a clinical prediction model.BMC infectious diseases · 2023Article
- SARS-CoV-2 Infection and COVID-19 in Children.Clinics in chest medicine · 2023Review
- Clinical and epidemiological features of pediatric population hospitalized with COVID-19: a multicenter longitudinal study (March 2020-December 2021) from Pakistan.The Lancet regional health. Southeast Asia · 2023Article
- Circulating sTREM-1 as a predictive biomarker of pediatric multisystemic inflammatory syndrome (MIS-C).Cytokine · 2023Article
- The prevalence and outcomes of hyponatremia in children with COVID-19 and multisystem inflammatory syndrome in children (MIS-C).Frontiers in pediatrics · 2023Article
- Article
- Persistence of infectious SARS-CoV-2 particles for up to 37 days in patients with mild COVID-19.Allergy · 2022Article
- Clinical Factors Associated with COVID-19 Severity in Chronic Hospitalized Infants and Toddlers: Data from a Center in the West Part of Romania.Healthcare (Basel, Switzerland) · 2022Article
- Characteristics of COVID-19 patients up to 6 months of age admitted to a paediatric emergency department.Acta paediatrica (Oslo, Norway : 1992) · 2022Article
- Development and validation of the predictive score for pediatric COVID-19 pneumonia: A nationwide, multicenter study.PloS one · 2022Article
- Children and the American Rescue Plan: countering COVID-19 vaccine hesitancy during a global pandemic.Pediatric research · 2021Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWe prepared a meta-analysis on case reports in children with COVID-19, aiming to identify potential risk factors for severe illness and to develop a prediction model for risk assessment.
methodsLiterature retrieval, case report selection, and data extraction were independently completed by two authors. STATA software (version 14.1) and R programming environment (v4.0.2) were used for data handling.
resultsThis meta-analysis was conducted based on 52 case reports, including 203 children (96 boys) with COVID-19. By severity, 26 (12.94%), 160 (79.60%), and 15 (7.46%) children were diagnosed as asymptomatic, mild/moderate, and severe cases, respectively. After adjusting for age and sex, 11 factors were found to be significantly associated with the risk of severe illness relative to asymptomatic or mild/moderate illness, especially for dyspnea/tachypnea (odds ratio, 95% confidence interval, P: 6.61, 4.12-9.09, <0.001) and abnormal chest X-ray (3.33, 1.84-4.82, <0.001). A nomogram modeling age, comorbidity, cough, dyspnea or tachypnea, CRP, and LDH was developed, and prediction performance was good as reflected by the C-index.
conclusionsOur findings provide systematic evidence for the contribution of comorbidity, cough, dyspnea or tachypnea, CRP, and LDH, both individually and jointly, to develop severe symptoms in children with asymptomatic or mild/moderate COVID-19. IMPACT: We have identified potential risk factors for severe illness in children with COVID-19. We have developed a prediction model to facilitate risk assessment in children with COVID-19. We found the contribution of five risk factors to develop severe symptoms in children with asymptomatic or mild/moderate COVID-19.
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