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. 2020 Jul 30;109(9):1899–1900. doi: 10.1111/apa.15412

Spectrum of COVID‐19 in children

Saritha Ranabothu 1,2,, Sanjeeva Onteddu 2, Krishna Nalleballe 2, Vasuki Dandu 2, Karthika Veerapaneni 2, Aravindhan Veerapandiyan 1,2
PMCID: PMC7323213  PMID: 32538518

The prevalence of coronavirus disease 2019 (COVID‐19) is lower in children compared with adults. Children contribute to 1%‐5% of all COVID‐19 cases. 1 A recent study from China reported that 171 (12.3%) of 1391 children with suspected disease had confirmed COVID‐19 infection. 2 As of May 15, 2020, there are 33,241 children with COVID‐19 in the United States. 3 The most common symptoms in children with confirmed and suspected COVID‐19 include fever and cough followed by diarrhoea and abdominal pain. A very few children developed critical illness coagulopathy, respiratory failure, shock and renal injury. 4 Severe manifestations of COVID‐19 are reported in children younger than 1 year of age and children with comorbid conditions. 4 The majority of children with COVID‐19 in the United States that required hospitalisation had one or more underlying medical conditions such as chronic lung disease, cardiovascular disease and immunosuppression. 5 Despite the available limited information, COVID‐19 in children poses a significant challenge due to the atypical/asymptomatic presentations and role in community transmission. Knowledge regarding the clinical characteristics and disease burden in children is critical at this stage of the pandemic for better treatment, control of transmission and appropriate allocation of healthcare resources. Data regarding organ system‐specific involvement of COVID‐19 are lacking.

We used TriNetX, a global health collaborative clinical research platform that collects real‐time electronic medical record data from various healthcare organisations. Our search criteria included children from 0 to 18 years of age with a confirmed laboratory diagnosis of COVID‐19 from January 20, 2020, to June 10, 2020. We used laboratory codes to identify children with confirmed COVID‐19 and to gather information on symptoms and organ system involvement. We used a time constraint of 1 month in the search criteria for any new diagnoses reported on or after the diagnosis of COVID‐19. We analysed the data based on age, demographic distribution, symptoms and organ system involvement. There were a total of 1353 children in the database that met the aforementioned criteria. Demographics and clinical characteristics of these patients are described in Table 1. The most common symptoms include fever and cough. Interestingly, loss of smell/taste sensation was reported only in a minority of children and they were 11 years or older. This might be related to the inability of younger children to express this peculiar symptom. About organ system involvement, the majority of the children had respiratory system involvement with acute upper respiratory infection being the most common diagnosis. Cardiac involvement was reported in 6.4% of the children with acute myocardial infarction and myocarditis in ≤10 children each. Kawasaki disease was reported in only 16 of the 1353 children. We were unable to obtain data on the multisystem inflammatory syndrome in children (MIS‐C) reported with COVID‐19 as there is no International Classification of Diseases (ICD)‐10 diagnosis code for it.

Table 1.

Presentations of children in COVID‐19

Characteristics N = 1353 (100%)
Age distribution‐ no. (%)
<1 y 155 (11.4%)
1‐5 y 284 (21%)
6‐10 y 205 (15.2%)
11‐18 y 709 (52.4%)
Sex ‐ no. (%)
Female 659 (49%)
Male 694 (51%)
Race‐ no. (%)
White 455 (34%)
Black or African American 223 (16%)
Asian 29 (2%)
Unknown Race 646 (48%)
Ethnicity‐ no. (%)
Not Hispanic or Latino 297 (22%)
Unknown 789 (58%)
Hispanic or Latino 267 (20%)
Hospital admission‐ no. (%)
Inpatient/Observation 260 (19.2%)
Intensive Care Unit (ICU) 26 (1.9%)
Symptoms ‐ no. (%)
Fever 293 (21.7%)
Cough 209 (15.4%)
Abnormal breathing 109 (8.1%)
Sore throat 58 (4.3%)
Abdominal/pelvic pain 56 (4.1%)
Headache 54 (4.0%)
Nausea/Vomiting 45 (3.3%)
Diarrhea 42 (3.1%)
Concerning food/fluid intake 36 (2.7%)
Rash and other skin eruptions 36 (2.7%)
Malaise/Fatigue 33 (2.4%)
Loss of smell/taste 28 (2.1%)
Myalgias 22 (1.6%)
Emotional disturbances 19 (1.4%)
Nasal congestion 15 (1.1%)
Convulsions ≤10 (≤0.7%)
Dizziness ≤10 (≤0.7%)
Non‐specific symptoms of Infancy ≤10 (≤6.5% of Infants)
Organ system involvement‐ no. (%)
Respiratory system 400 (29.6%)
Acute upper respiratory infection 150 (11.1%)
Intubation ≤10 (≤0.7%)
Endocrine/Nutritional/Metabolic 116 (8.6%)
Disorders of blood & immune system 103 (7.6%)
Circulatory system 87 (6.4%)
Acute MI ≤10 (≤0.7%)
Myocarditis ≤10 (≤0.7%)
Digestive system 83 (6.1%)
Musculo‐skeletal/Connective Tissue 82 (6.1%)
Kawasaki Disease 16 (1.2%)
Toxic shock syndrome 0 (0%)
Mental/Behavioral disorders 65 (4.8%)
Anxiety disorders 19 (1.4%)
Mood disorders 22 (1.6%)
Nervous system 62 (4.6%)
Sleep disorders 16 (1.2%)
Stroke ≤10 (≤0.7%)
GBS 0 (0%)
Skin and subcutaneous tissue 49 (3.6%)
Vasculitis limited to skin 0 (0%)
Genito‐urinary system 47 (3.5%)
Acute kidney Injury 12 (0.9%)
Dialysis ≤10 (≤0.7%)
Mortality ≤10 (≤0.7%)

We describe the clinical characteristics of children with confirmed COVID‐19 based on the data available in the largest database to date. The available information confirms multiple organ system involvement in children with COVID‐19 and only minority of children require hospitalisation and/or critical care. As this report is based on ICD‐10 codes entered from the electronic medical record, one should be cautious about establishing causation. Individual patient‐level data including outcomes could not be ascertained due to the nature of this study. Further systematic studies are needed to better understand the organ system‐specific manifestations of COVID‐19 in children, management and clinical outcomes.

CONFLICT OF INTEREST

All authors have no conflicts of interest to disclose.

ACKNOWLEDGEMENTS

Thank you to Naveen Nallaballe for his help with analysis. Data for the study were provided by the Arkansas Clinical Data Repository (AR‐CDR) maintained by the Department of Biomedical Informatics in the College of Medicine at the University of Arkansas for Medical Sciences (UAMS). The AR‐CDR is approved to operate as an enterprise data resource to support research across UAMS. Data in the AR‐CDR come from UAMS Electronic Medical Record (EMR), tumour registry, billing and cancer genomic data and comprise encounters since 05/01/2014.

REFERENCES


Articles from Acta Paediatrica (Oslo, Norway : 1992) are provided here courtesy of Wiley

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