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A Systematic Review and Meta-analysis of the Initial Literature Regarding COVID-19 Symptoms in Children in the United States

      Introduction

      COVID-19 symptom presentation among adults is mostly understood. However, understanding COVID-19 symptom presentation in children lags.

      Method

      A literature search was conducted in three electronic databases. Twenty-three initial publications addressing COVID-19 symptom presentation among hospitalized children in the United States met the criteria for review and meta-analysis.

      Results

      Fever, the most common symptom, was present in nearly all cases. Gastrointestinal, respiratory, oral symptoms, and rash occurred in over half of the cases. Disease severity assessment showed that comorbidities were present in one-third of patients; intensive care was needed for half of the patients, and supplemental oxygen and mechanical ventilation were needed by 13.3% and 7.1%, respectively.

      Discussion

      The magnitude and significance of COVID-19 symptoms in children compared with those in adults and three common childhood viral illnesses: influenza, respiratory syncytial virus, and gastroenteritis, are discussed. Important clinical differences were found that may help clinicians distinguish COVID-19 from other illnesses.

      KEY WORDS

      INTRODUCTION

      Much can still be learned from the COVID-19 pandemic. COVID-19 is a viral illness caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2;
      • Yuki K.
      • Fujiogi M.
      • Koutsogiannaki S.
      COVID-19 pathophysiology: A review.
      ). Although SARS-CoV-2 symptom presentation (COVID-19) in adults is fairly well understood, less remains known about symptom presentation in children. The objective of this manuscript is twofold: (1) to determine the most common COVID-19 symptoms in hospitalized children seen early in the pandemic and (2) to assess the frequency of COVID-related treatments and outcomes. Results from the meta-analysis are used to distinguish the magnitude and significance of COVID-19 symptom presentation in children compared with the symptoms seen in adults, as well as comparing COVID-19 to three other common childhood viral illnesses (influenza, respiratory syncytial virus [RSV], and gastroenteritis) in the United States. Such a distinction will aid in delivering appropriate care to children and result in more positive health outcomes.
      COVID-19 is a contagious disease caused by SARS-CoV-2 (
      • Yuki K.
      • Fujiogi M.
      • Koutsogiannaki S.
      COVID-19 pathophysiology: A review.
      ). The first known case was reported in December 2019 in Wuhan, China. The disease has since spread worldwide, leading to an ongoing pandemic (). Scientists believe COVID-19 is transmitted when people breathe in air contaminated by droplets and small airborne particles (
      • Jayaweera M.
      • Perera H.
      • Gunawardana B.
      • Manatunge J.
      Transmission of COVID-19 virus by droplets and aerosols: A critical review on the unresolved dichotomy.
      ). The risk of breathing these particles is highest when people are close (i.e., less than 3 ft apart). SARS-CoV-2 particles can also be inhaled over longer distances, particularly in confined spaces, such as indoors (
      • Bazant M.Z.
      • Bush J.W.M.
      A guideline to limit indoor airborne transmission of COVID-19.
      ). Transmission can further occur if particles are splashed or sprayed via contaminated fluids during coughing or (more rarely) by contacting contaminated surfaces (
      • Jayaweera M.
      • Perera H.
      • Gunawardana B.
      • Manatunge J.
      Transmission of COVID-19 virus by droplets and aerosols: A critical review on the unresolved dichotomy.
      ). People who are infected can transmit the virus to another person up to 2 days before they show symptoms, as can people who do not experience symptoms. People remain infectious for up to 10 days after the onset of symptoms in moderate cases and up to 20 days in severe cases ().
      Much of our knowledge regarding COVID-19 symptom presentation pertains to those seen in adults. Symptoms in adults may include fever, cough, headache, fatigue, breathing difficulties, and loss of smell and taste (). At least one-third of people who are infected do not develop noticeable symptoms (
      • Sah P.
      • Fitzpatrick M.C.
      • Zimmer C.F.
      • Abdollahi E.
      • Juden-Kelly L.
      • Moghadas S.M.
      • Singer B.H.
      • Galvani A.P.
      ). Of those who develop symptoms noticeable enough to be considered ill, most (81%) develop mild to moderate symptoms, including mild pneumonia, whereas 14% develop severe symptoms (dyspnea, hypoxia, or > 50% lung involvement on imaging). Five percent suffer critical symptoms (respiratory failure, shock, or multiorgan dysfunction), with older individuals being at a higher risk (
      • Yi Y.
      • Lagniton P.N.P.
      • Ye S.
      • Li E.
      • Xu R.H.
      COVID-19: What has been learned and to be learned about the novel coronavirus disease.
      ). Others may continue to experience a range of effects for months after recovery, known as long COVID, and suffer damage to organs ().
      Although COVID-19 outcomes in adults are fairly well understood, this knowledge may not be transferrable to children. For example, adults with comorbid conditions such as cardiovascular disease, diabetes, hypertension, and cancer are at increased risk for contracting and experiencing complications from COVID-19. However, these conditions are much less common in children. Moreover, adults from African American and Hispanic/Latinx populations are disproportionately impacted by COVID-19 (
      • Alcendor D.J.
      Racial disparities-associated COVID-19 mortality among minority populations in the us.
      ). The effect of COVID-19 on children in these populations is unclear. To address this gap in knowledge, the purpose of this systematic review and meta-analysis is to summarize the initial literature regarding COVID-19 symptom presentation and outcomes among children in the United States.

      METHODS

      A literature search was conducted in consultation with a health science librarian in August 2020 in three electronic databases: PubMed, CINAHL, and Web of Science. Terms used in these searches included: “coronavirus” or “corona virus” or “nCoV” or “2019 nCoV” or “novel coronavirus” or “novel corona virus” or “COVID-19” or “SARS-CoV-2” or “severe acute respiratory syndrome coronavirus 2” or “coronavirus disease 2019” or “corona virus disease 2019” or “new coronavirus” or “new corona virus” or “new coronaviruses” or “novel coronaviruses” or “severe acute respiratory syndrome coronavirus 2” or “2019 nCoV” or “nCoV 2019” or “SARS coronavirus 2”; “English”; “USA”; “youth” or “child” or “adolescent”; “all years”; “English”; “United States”; “pediatrics.” No filters or limitations were applied. Searches generated 342 publications: 85 articles from PubMed, 193 from CINAHL, and 64 from the Web of Science. Articles were included in the meta-analysis if they addressed COVID-19 cases among children in the United States, were published in peer-reviewed journals and were written in English. After the first and third authors simultaneously reviewed the publications, 241 were eliminated, including 21 duplicates, 187 ineligible, 30 outside the United States, and three unrelated topics (e.g., SARS, influenza, and bronchiolitis). One hundred and one publications were selected for further review. The same two authors reviewed the 101 publications and further excluded 25 publications (narrative discussions regarding COVID [n = 3]; systematic reviews [n = 5]; presented laboratory, genetic, or radiological findings [n = 17]); and two reports (Morbidity and Mortality Weekly reports; Figure). After an independent review of symptoms and disease severity by the second author, the final meta-analysis consisted of 23 publications.
      FIGURE
      FIGUREPreferred Reporting Items for Systematic Reviews and Meta-Analyses diagram of study selection.
      This figure appears in color online at www.jpedhc.org.

      Analysis

      Study characteristics, including sample size, description of the patient sample, research location, enrollment dates, age, and race of patients were assessed and summarized in Table 1. A dataset was created of the symptom characteristics and disease severity statistics of patients reported for each study (Tables 2 and 3). A wide range of symptoms was reported across studies, and the symptoms reported by each study differed. Fever, respiratory, or gastrointestinal symptoms could be determined for most studies. Other symptoms, such as cough, nausea, or fatigue, could only be determined in some studies. For disease severity measures, the number of patients with comorbid conditions could be determined for all studies. Other measures, such as supplemental oxygen use and intensive care, could only be determined for some of the studies. Symptom and disease severity measures were only included in the analysis if reported on by at least three studies. Summary statistics included the number of studies that reported on the symptom/measure and the total sample size for those studies. The proportion and percentages of patients with the symptom or other traits were also summarized across studies. Continuous outcomes were summarized by calculating the overall mean and standard deviation.
      TABLE 1Description of included studies
      StudynSample descriptionHospitalRegionEnroll datesAge rangeAge medianMale sexWhiteBlackHispanicAsianOtherUnknown
      Bhumbra et al.19Hospitalized children with COVIDRiley Hospital for Children at Indiana University HealthIndianapolisFebruary 26 to May 4, 2020< 2–18 years514477100
      Blumfield & Levin19Case series, hospitalized children with COVIDMontefiore Medical CenterBronx, NYFebruary 25 to May 1, 20202 months to 18 years81019
      Cheung et al.17Children/adolescents with MISColumbia University Irving Medical CenterNew York CityApril 18 to May 5, 20201.8–16 years88244160
      Craver et al.1Case report/autopsyChildren's Hospital of New OrleansNew OrleansMarch 2020171010000
      Danley & Kent1Case report: 4-month-old male with muscular ventricular septal defect and

      atopic dermatitis and COVID
      Rush University Medical CenterChicagoMarch 26, 20200.3311
      Del Greco et al.4Four cases of MISNew York-Presbyterian QueensQueens, NYMay 8, 20204–16 years11.514
      Feld et al.3Case series three infants < 2 months with COVIDCohen Children's Medical CenterNew Hyde Park, NYMarch 202028-43 days0.1223
      Feldstein et al.186Children and adolescents with MIS53 Pediatric Health CentersUnited StatesMarch 15 to May 20, 2020< 1–20 years8.31153546570941
      Gefen et al.1Case report: 16-year-old boy with autismCohen Children's Medical Center of New YorkNew Hyde Park, NYBefore May 20201611
      Heinz et al.1Case report: 6-month-old liver transplant patientNew York-Presbyterian HospitalNew York, NYMarch 17, 20200.501
      Kainth et al.65Hospitalized COVID patients < 22 yearsSteven and Alexandra Cohen Children's

      Medical Center at Northwell Health
      New Hyde Park, NYJanuary 23 to April 18, 2020< 60 days to 22 years10.3331417158242
      Kaushik et al.33Children with MIS-C in intensive care unitsThree tertiary care children's hospitalsNew York CityApril 23 to May 23, 2020IQR: 6-13102031315110
      Kest et al.3Three critically ill children with MIS-CSt. Joseph's Children's HospitalNew JerseyApril 4 to May 10, 20206–10 years91012000
      Lara et al.1Case study: Pediatric patient with COVID and acute fulminant myocarditisOchsner Hospital for ChildrenNew Orleans, LAApril 202012 years120000100
      McLaren et al.7Case series: seven febrile infants aged

      ≤ 60 days with SARS-CoV-2
      Vagelos College of Physicians and Surgeons, Columbia UniversityNew York CityMarch 1 to April 15, 2020≤ 60 days0.1167
      Mithal et al.18Case Series: 18 infants aged < 90 days tested positive for SARS-CoV-2 in ED (n = 15) and outpatient (n = 3)Ann and Robert H. Lurie Children's HospitalChicago, ILApril 11 to May 12, 202010-88 days55.570014004
      Needleman & Hanson1Case study: 3-week-old male with mild hypoxic-ischemic encephalopathy and COVID-19 hospitalized twiceIndiana University School of MedicineIndianapolis, INBefore June 202025 day0.0711
      Patel et al.1Case study: Severe pediatric COVID-19 patient presenting with respiratory failure and severe thrombocytopeniaChildren's Healthcare of Atlanta and the School of MedicineAtlanta, GABefore April 20201201
      Perez et al.2Case series: two healthy adolescents with SARS-CoV-2 and cholestatic jaundice, and hepatitisCohen Children's Medical Center of New YorkBronx, NYBefore June 202016–17 years16.512
      Shekerdemian et al.48Children with COVID admitted to the ICU14 U.S. hospitalsUSAMarch 14 to April 3, 2020< 1 to 21 years132548
      Spencer et al.2Case series: two children with COVID and clinical features suggestive of Kawasaki diseaseNew York-Presbyterian Morgan Stanley Children's HospitalNew York, NYBefore May 20207–11 years912
      Tsao et al.1Pediatric COVID patients with immune thrombocytopeniaWarren Alpert Medical School, Brown UniversityProvidence, RIBefore May 202010 years1001
      Zachariah et al.50Patients with COVID-19 hospitalized at a children's hospitalNew York-Presbyterian Morgan Stanley Children's HospitalNew York, NYMarch 1 to April 15, 2020<1–21 years92727025000
      Total484n/mean10.527585891391240138
      %/SD11.156.817.618.428.72.58.329.7
      Note. ED, emergency department; ICU, intensive care unit; IQR, interquartile range; MIS, multisystem inflammatory syndrome; MIS-C, multisystem inflammatory syndrome in children; SARS-CoV-2, severe acute respiratory syndrome coronavirus 2. Some participants are listed in multiple racial groups.
      TABLE 2Symptoms reported by the study
      StudynSymptom durationFeverFever durationRespiratoryCoughSore throatNasal mucusChest

      pain
      Gastro

      intestinal
      DiarrheaVomit/

      nausea
      AnorexiaAbdominal painNeurologicHeadacheMood/

      mental
      RashSmell/

      taste
      Conjunc

      tivitis
      OralMyalgia/

      fatigue
      Lymphad

      enopathy
      Bhumbra et al.1931212524223
      Blumfield & Levin191713139
      Cheung et al.17517571581211966
      Craver et al.11111
      Danley & Kent1160111111
      Del Greco et al.4442142314334241
      Feld et al.31311013322
      Feldstein et al.1862518661311711101037818
      Gefen et al.151110000001
      Heinz et al.11111111
      Kainth et al.655713932517407222611211175322
      Kaushik et al.334.5311172316232141412
      Kest et al.343423322111221
      Lara et al.1312111111
      McLaren et al.7712110113
      Mithal et al.181418545112
      Needleman & Hanson130110
      Patel et al.15151111
      Perez et al.22.5140211111
      Shekerdemian et al.483512
      Spencer et al.2515012121212122221
      Tsao et al.110000000110
      Zachariah et al.502401723697
      No. of studies231521102212512323101298856937684
      Total sample size484321435281483187911867048411913910211117375923298526321299208
      N/mean5.73973.428087124213292325938414217141516134953725
      %/SD1.291.30.757.918.02.58.72.760.36.612.27.98.58.73.52.931.21.227.719.67.65.2
      Note. Symptom and fever duration were reported as the median number of days.
      TABLE 3Disease severity by study
      StudynComorbid conditionsHospital

      admission
      Hospital admission was only assessed for studies that included nonhospitalized patients.
      Hospital length of staySupplemental oxygenIntubation/

      mechanical ventilation
      Intensive careIntensive care length of stayDeath
      Bhumbra et al.1983471
      Blumfield & Levin191248142
      Cheung et al.1707.190150
      Craver et al.101
      Danley & Kent114.01010
      Del Greco et al.415.00020
      Feld et al.311.10000
      Feldstein et al.186517.08371484
      Gefen et al.1112.00000
      Heinz et al.1122.010
      Kainth et al.65213.2175235.41
      Kaushik et al.33167.85334.71
      Kest et al.306.01116.00
      Lara et al.1010.0110
      McLaren et al.7262.0000
      Mithal et al.18090000
      Needleman & Hanson101.00000
      Patel et al.1024.01110
      Perez et al.2110000
      Shekerdemian et al.48407.02118485.02
      Spencer et al.2110
      Tsao et al.101.00000
      Zachariah et al.50333.016991
      No. of studies2323317182021423
      Total sample size48448427423441480481149482
      N/mean190167.282893045.313
      %/SD39.33.36.716.918.462.80.62.7
      Note. Hospital and intensive care length of stay was reported as the median number of days.
      a Hospital admission was only assessed for studies that included nonhospitalized patients.
      Random-effects meta-analyses of symptom and disease severity statistics across studies were conducted with Stata software (version 17;
      StataCorp LLC.
      Stata statistical software: Release 17 [computer program].
      ), and results are displayed in Table 4. The Metaprop Stata package was used to analyze proportional measures, and the meta-command was used to analyze continuous outcomes. Case studies with no effect size variation were excluded from continuous outcome models. Overall pooled effect sizes and 95% confidence intervals (CIs) are reported for each outcome. Heterogeneity statistics are also reported for each outcome, including the χ2 test of Q for whether study effects varied, Tau2 (the variance of true effect sizes), and I2 (percent of variance which reflects true differences in effect size vs. random error). Egger's tests of publication bias were run, though none were statistically significant. Metaregression analyses were conducted for each outcome to assess factors related to heterogeneity in the effect sizes of studies. Factors included study sample size, whether a study was a case report (≤ 10 patients), the median age of study patients, whether the study reported race, the percentage of patients with comorbidities, and percent of male patients. Postestimation publication bias and metaregression analyses were conducted with maximum likelihood estimation. No sensitivity analyses were done.
      TABLE 4Symptom and disease severity meta-analyses
      Heterogeneity statisticsMetaregression
      VariablesNo. of studiesTotal sample size% (95% Confidence interval)
      Different from zero.
      χ2 (df)I2T2Predictor: b (SE)
      Symptoms
       Symptom duration73106.1 (−0.1 to 12.4)740.6 (6)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      99.570.8Sample size: 0.1 (0.01)
       Fever2143595.0 (82–100)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      89.5 (20)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      77.60.2
       Fever duration42712.9 (−0.03 to 5.8)369.5 (3)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      98.97.2Sample size: 0.03 (0.006)
       Respiratory distress/dyspnea2248352.0 (36.0–67.8)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      86 (21)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      75.60.2
       Cough1218744.4 (31.4–57.7)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      15.1 (11)26.90.2
       Sore throat59128.8 (1.1–67.6)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      16.6 (4)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      75.90.3
       Rhinorrhea/congestion1218616.1 (6.7–27.5)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      14.2 (11)22.30
       Chest pain37011 (2.2–23.3)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      0.2 (2)00
       Gastrointestinal2348461.5 (33.4–86.9)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      327.8 (22)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      93.30.8% Comorbidities: −0.6 (0.3)
       Diarrhea1011939.0 (9.6–72.2)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      36.6 (9)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      75.40.3
       Vomiting/nausea1213949.6 (24.1–75.2)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      33.3 (11)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      670.2
       Poor feeding/anorexia910233.3 (15.1–53.5)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      10.9 (8)26.40
       Abdominal pain811156.1 (18.9–90.6)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      34.3 (7)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      79.60.4Sample size: −0.01 (0.004)
       Neurological817332.3 (10.3–58.0)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      37.7 (7)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      81.40.2% Comorbidities: −0.6 (0.3)
       Headache57541.1 (5.8–81.1)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      9.6 (4)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      58.40.3
       Emotional/mental change69230.1 (2.7–66.0)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      17.6 (5)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      71.60.3
       Rash932952.0 (23.2–80.3)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      97 (8)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      91.70.4
       Dysgeusia/anosmia3850.4 (0.0–8.8)2.5 (2)18.60
       Conjunctivitis726347.1 (28.1–66.5)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      21.2 (6)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      71.70.1
       Oral/saliva changes621266.0 (37.6–90.4)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      11.7 (5)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      57.10.1
       Myalgia/fatigue89933.9 (21.8–46.8)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      4.8 (7)00
       Lymphadenopathy420812.5 (0.0–38.0)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      7.7 (3)60.80.1
      Disease severity
       Comorbid conditions2348431.8 (14.9–50.7)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      129.6 (22)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      83.00.3No race reported: 0.3 (0.1)
       Hospital admission32762.8 (35.4–87.1)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      2.6 (2)23.10
       Hospital length of stay104164.8 (3.0–6.6)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      309.5 (9)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      96.26.4Case report: −3.9 (1.2)

      Age: 0.4 (0.1)
       Supplemental oxygen1844113.3 (2.3–28.7)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      90.0 (18)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      80.00.2Study size: −0.001 (0.001)
       Intubation/mechanical ventilation204807.1 (1.1–16.1)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      47.3 (19)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      59.80.1
       Intensive care2148149.9 (23.2–76.6)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      289.7 (20)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      93.10.7
       Intensive care length of stay41494.9 (4.3–5.6)
      Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.
      0.8 (3)0.00.0
       Death234820.0 (0.0–0.0)13.3 (22)00
      Notes. Hospital admission was only assessed for studies that included nonhospitalized patients. Case studies with no effect size variation were excluded from continuous outcome models.
      a Different from zero.
      b Effect is different from zero or heterogeneity χ2 test is significant. Only significant predictors for metaregression are shown.

      RESULTS

      Twenty-three studies with 484 patients were included in the final analysis (Table 1). Nine publications provided aggregate data (
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      Clinical features of critical coronavirus disease 2019 in children.
      ;
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      Covid-19 in pediatric patients: A case series from the Bronx, NY.
      ;
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      • Gillen J
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      CDC COVID-19 Response Team
      Multisystem Inflammatory Syndrome in U.S. Children and Adolescents.
      ;
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      Northwell Health COVID-19 Research Consortium
      Early experience of COVID-19 in a US Children's Hospital.
      ;
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      • Medar S.S
      Multisystem inflammatory syndrome in children associated with severe acute respiratory syndrome coronavirus 2 infection (mis-c): A multi-institutional study from New York City.
      ;
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      • Kociolek L.K.
      SARS-CoV-2 infection in infants less than 90 days old.
      ;
      • Shekerdemian L.S.
      • Mahmood N.R.
      • Wolfe K.K.
      • Riggs B.J.
      • Ross C.E.
      • McKiernan C.A.
      • Heidemann S.M.
      • Kleinman L.C.
      • Sen A.I.
      • Hall M.W.
      • Priestley M.A.
      • McGuire J.K.
      • Boukas K.
      • Sharron M.P.
      • Burns J.P.
      International COVID-19 PICU Collaborative
      Characteristics and outcomes of children with coronavirus disease 2019 (COVID-19) infection admitted to US and Canadian pediatric intensive care units.
      ;
      • Zachariah P.
      • Johnson C.L.
      • Halabi K.C.
      • Ahn D.
      • Sen A.I.
      • Fischer A.
      • Banker S.L.
      • Giordano M.
      • Manice C.S.
      • Diamond R.
      • Sewell T.B.
      • Schweickert A.J.
      • Babineau J.R.
      • Carter R.C.
      • Fenster D.B.
      • Orange J.S.
      • McCann T.A.
      • Kernie S.G.
      • Saiman L.
      Columbia Pediatric COVID-19 Management Group
      Epidemiology, clinical features, and disease severity in patients with coronavirus disease 2019 (COVID-19) in a Children's Hospital in New York City, New York.
      ); 14 studies were classified as case reports/case series because of having 10 or fewer patients (
      • Craver R.
      • Huber S.
      • Sandomirsky M.
      • McKenna D.
      • Schieffelin J.
      • Finger L.
      Fatal eosinophilic myocarditis in a healthy 17-year-old male with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2c).
      ;
      • Danley K.
      • Kent P.
      4-month-old boy coinfected with COVID-19 and adenovirus.
      ;
      • Del Greco G.
      • Brady K.
      • Clark B.
      • Park H.
      A novel pediatric multisystem inflammatory syndrome during the COVID-19 pandemic.
      ;
      • Feld L.
      • Belfer J.
      • Kabra R.
      • Goenka P.
      • Rai S.
      • Moriarty S.
      • Barone S.
      A case series of the 2019 novel coronavirus (SARS-CoV-2) in 3 febrile infants in New York.
      ;
      • Gefen A.M.
      • Palumbo N.
      • Nathan S.K.
      • Singer P.S.
      • Castellanos-Reyes L.J.
      • Sethna C.B.
      Pediatric COVID-19-associated rhabdomyolysis: A case report.
      ;
      • Heinz N.
      • Griesemer A.
      • Kinney J.
      • Vittorio J.
      • Lagana S.M.
      • Goldner D.
      • Velasco M.
      • Kato T.
      • Lobritto S.
      • Martinez M.
      A case of an infant with SARS-CoV-2 hepatitis early after liver transplantation.
      ;
      • Kest H.
      • Kaushik A.
      • DeBruin W.
      • Colletti M.
      • Goldberg D.
      Multisystem inflammatory syndrome in children (mis-c) associated with 2019 novel coronavirus (sars-cov-2) infection.
      ;
      • Lara D.
      • Young T.
      • Del Toro K.
      • Chan V.
      • Ianiro C.
      • Hunt K.
      • Kleinmahon J.
      Acute fulminant myocarditis in a pediatric patient with COVID-19 infection.
      ;
      • McLaren S.H.
      • Dayan P.S.
      • Fenster D.B.
      • Ochs J.B.
      • Vindas M.T.
      • Bugaighis M.N.
      • Gonzalez A.E.
      • Lubell T.R.
      Novel coronavirus infection in febrile infants aged 60 days and younger.
      ;
      • Needleman J.S.
      • Hanson A.E.
      COVID-19-associated apnea and circumoral cyanosis in a 3-week-old.
      ;
      • Patel P.A.
      • Chandrakasan S.
      • Mickells G.E.
      • Yildirim I.
      • Kao C.M.
      • Bennett C.M.
      Severe pediatric COVID-19 presenting with respiratory failure and severe thrombocytopenia.
      ;
      • Perez A.
      • Kogan-Liberman D.
      • Sheflin-Findling S.
      • Raizner A.
      • Ahuja K.L.
      • Ovchinsky N.
      Presentation of severe acute respiratory syndrome-coronavirus 2 infection as cholestatic jaundice in two healthy adolescents.
      ;
      • Spencer R.
      • Closson R.C.
      • Gorelik M.
      • Boneparth A.D.
      • Hough R.F.
      • Acker K.P.
      • Krishnan U.
      COVID-19 inflammatory syndrome with clinical features resembling Kawasaki disease.
      ;
      • Tsao H.S.
      • Chason H.M.
      • Fearon D.M.
      Immune thrombocytopenia (itp) in a pediatric patient positive for SARS-CoV-2.
      ). Patient enrollment in all studies occurred in the early stages of the pandemic between February and June 2020. Studies primarily included hospitalized children and adolescents with COVID-19, though three included patients not admitted for hospitalization but seeking care at hospital facilities. Studies were conducted in Georgia (n = 1), Illinois (n = 2), Indiana (n = 2), Louisiana (n = 2), New Jersey (n = 1), New York (n = 12), Rhode Island (n = 1), and at multiple sites (n = 2). The age range was from < 1 to 21 years, and the average median age across studies was 10.5 years old. Over half of the patients (56.8%; n = 275) were male children. Race of patients was reported in 10 studies (
      • Bhumbra S.
      • Malin S.
      • Kirkpatrick L.
      • Khaitan A.
      • John C.C.
      • Rowan C.M.
      • Enane L.A.
      Clinical features of critical coronavirus disease 2019 in children.
      ;
      • Cheung E.W.
      • Zachariah P.
      • Gorelik M.
      • Boneparth A.
      • Kernie S.G.
      • Orange J.S.
      • Milner J.D.
      Multisystem inflammatory syndrome related to COVID-19 in previously healthy children and adolescents in New York City.
      ;
      • Craver R.
      • Huber S.
      • Sandomirsky M.
      • McKenna D.
      • Schieffelin J.
      • Finger L.
      Fatal eosinophilic myocarditis in a healthy 17-year-old male with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2c).
      ;
      • Feldstein L.R.
      • Rose E.B.
      • Horwitz S.M.
      • Collins J.P.
      • Newhams M.M.
      • Son M.B.F.
      • Newburger JW
      • Kleinman LC
      • Heidemann SM
      • Martin AA
      • Singh AR
      • Li S
      • Tarquinio KM
      • Jaggi P
      • Oster ME
      • Zackai SP
      • Gillen J
      • Ratner AJ
      • Walsh RF
      CDC COVID-19 Response Team
      Multisystem Inflammatory Syndrome in U.S. Children and Adolescents.
      ;
      • Kainth M.K.
      • Goenka P.K.
      • Williamson K.A.
      • Fishbein J.S.
      • Subramony A.
      • Barone S.
      • Belfer J.A.
      • Feld L.M.
      • Krief W.I.
      • Palumbo N.
      • Rajan S.
      • Rocker J.
      • Scotto T.
      • Sharma S.
      • Sokoloff W.C.
      • Schleien C.
      • Rubin L.G.
      Northwell Health COVID-19 Research Consortium
      Early experience of COVID-19 in a US Children's Hospital.
      ;
      • Kaushik S.
      • Aydin S.I.
      • Derespina K.R.
      • Bansal P.B.
      • Kowalsky S.
      • Trachtman R.
      • Gillen J.K.
      • Perez M.M.
      • Soshnick S.H.
      • Conway Jr, E.E.
      • Bercow A.
      • Seiden H.S.
      • Pass R.H.
      • Ushay H.M.
      • Ofori-Amanfo G.
      • Medar S.S
      Multisystem inflammatory syndrome in children associated with severe acute respiratory syndrome coronavirus 2 infection (mis-c): A multi-institutional study from New York City.
      ;
      • Kest H.
      • Kaushik A.
      • DeBruin W.
      • Colletti M.
      • Goldberg D.
      Multisystem inflammatory syndrome in children (mis-c) associated with 2019 novel coronavirus (sars-cov-2) infection.
      ;
      • Lara D.
      • Young T.
      • Del Toro K.
      • Chan V.
      • Ianiro C.
      • Hunt K.
      • Kleinmahon J.
      Acute fulminant myocarditis in a pediatric patient with COVID-19 infection.
      ;
      • Mithal L.B.
      • Machut K.Z.
      • Muller W.J.
      • Kociolek L.K.
      SARS-CoV-2 infection in infants less than 90 days old.
      ;
      • Zachariah P.
      • Johnson C.L.
      • Halabi K.C.
      • Ahn D.
      • Sen A.I.
      • Fischer A.
      • Banker S.L.
      • Giordano M.
      • Manice C.S.
      • Diamond R.
      • Sewell T.B.
      • Schweickert A.J.
      • Babineau J.R.
      • Carter R.C.
      • Fenster D.B.
      • Orange J.S.
      • McCann T.A.
      • Kernie S.G.
      • Saiman L.
      Columbia Pediatric COVID-19 Management Group
      Epidemiology, clinical features, and disease severity in patients with coronavirus disease 2019 (COVID-19) in a Children's Hospital in New York City, New York.
      ). The race of children across studies was 17.6% White, 18.4% Black, 28.7% Hispanic, 2.5% Asian, 8.3% other, and 29.7% unknown. Some participants were listed in multiple racial groups.
      Meta-analysis revealed fever to be the most common symptom, estimated to occur in 95% of children seeking medical care (Table 4). Fever was also the symptom that could be the most reliably estimated, as evidenced by the comparatively small CIs. Respiratory and gastrointestinal symptoms were also relatively common, occurring in 52.0% and 61.5% of children. Other symptoms estimated to occur in 50% or more of children were oral/mucosal changes (66.0%), abdominal pain (56.1%), rash (52.0%), and nausea/vomiting (49.6%). Dysgeusia and anosmia (loss of taste and smell), commonly reported in adults, were reported in only three studies in this meta-analysis. Almost no children experienced these symptoms. The symptom duration was about six days, and the fever was three days.
      Comorbid conditions were estimated to be present in 33% of children seeking medical care. Of patients presenting to a hospital seeking medical care, 62.8% were admitted (assessed in three studies). The average length of hospital stay was about 5 days. Intensive care was needed in about half of the cases, and the average length was about 5 days. In 13.3% of cases, supplemental oxygen was needed, and intubation or mechanical ventilation was needed in 7.1%. Thirteen deaths (2.68%) in total were reported across studies.
      Symptom and disease severity estimates were generally heterogeneous across studies; therefore, factors related to differences in the estimates were assessed with metaregression. A larger sample size was associated with longer symptom and fever duration and a lower frequency of reporting abdominal pain or supplemental oxygen use. Case studies were associated with a greater length of hospital stay, and patients had a higher median age. A higher percentage of patients with comorbidities were associated with less gastrointestinal or neurological symptoms reporting. Studies that did not report race had a higher percentage of patients with comorbid conditions. No publication bias was found.

      DISCUSSION

      This meta-analysis aimed to summarize the initial literature regarding COVID-19 symptom presentation and outcomes among children receiving hospital care in the United States. As reported by pediatric health care providers, common symptoms included fever and gastrointestinal and respiratory distress. Less than 3% of the 484 children included in the review and meta-analysis died of COVID-19.

      Comparison to Adult Cases

      Symptomatology associated with COVID-19 is reported to increase with age (). Loss of smell and taste are often highlighted as important symptoms indicating that an individual has contracted SARS-CoV-2 (). However, our results do not support this notion. The lack of support may be due to the frequency with which children report these symptoms or the lack of documentation in the medical record (
      • Kumar L.
      • Kahlon N.
      • Jain A.
      • Kaur J.
      • Singh M.
      • Pandey A.K.
      Loss of smell and taste in COVID-19 infection in adolescents.
      ;
      • Ranabothu S.
      • Onteddu S.
      • Nalleballe K.
      • Dandu V.
      • Veerapaneni K.
      • Veerapandiyan A.
      Spectrum of COVID-19 in children.
      ). More specifically, because children may lack the vocabulary to express sensory experiences, we speculate that the loss of smell and taste may be exhibited in behavior and not verbalized to clinicians. As such, the loss of smell and taste may contribute to poor feeding and/or anorexia.
      Age has also been shown to be the strongest indicator for severe COVID-19 outcomes (). Individuals aged > 65 years accounted for 81% of the deaths related to COVID-19 (). However, younger children are clinically more likely to be affected by fluid loss and seem to be those who would be at the most risk for morbidity and mortality. Our study found that children who died were aged > 5 years. Studies also showed that risk severity increases as preconditions increase (). Comorbidities in children, such as HIV, disabilities, neurological disorders, sickle cell disease, and being overweight and obese, are shown to be linked to more severe symptoms and slower recovery, specifically from COVID-19 (
      • Tsankov B.K.
      • Allaire J.M.
      • Irvine M.A.
      • Lopez A.A.
      • Sauvé L.J.
      • Vallance B.A.
      • Jacobson K.
      Severe COVID-19 infection and pediatric comorbidities: A systematic review and meta-analysis.
      ). The associations between comorbid states and specific outcomes (e.g., death) were not described in detail within the 23 articles. However, our study did find that children with comorbidities presented with neurological symptoms.
      Studies have also shown that populations are not affected equally by COVID-19. Based on the Centers for Disease Control and Prevention's National Vital Statistics System mortality data, an estimated 700,000 excess deaths occurred in the United States from February 1, 2020 to September 30, 2021 (

      Centers for Disease Control and Prevention. (2022). National vital statistics system. https://www.cdc.gov/nchs/nvss/.

      ). The largest percentage increases in mortality occurred among adults aged 25–44 years and among Hispanic or Latinx people (
      • Blanton L.
      • Dugan V.G.
      • Abd Elal A.I.
      • Alabi N.
      • Barnes J.
      • Brammer L.
      • Budd A.P.
      • Burns E.
      • Cummings C.N.
      • Garg S.
      • Garten R.
      • Gubareva L.
      • Kniss K.
      • Kramer N.
      • O'Halloran A.
      • Reed C.
      • Rolfes M.
      • Sessions W.
      • Taylor C.
      • Jernigan D
      Update: Influenza activity – United States, September 30, 2018–February 2, 2019.
      ). The mortality rate among children in our analysis was < 3% (n = 13; N = 484). The race and ethnicity of these children could not be determined because of variations in the reporting of that data among the 23 publications.

      Compared with Three Common Childhood Viral Illnesses

      Compared with three other common childhood viral illnesses seen in the United States, COVID-19 symptom presentation appears like those seen with influenza, RSV, and gastroenteritis, as well as other viral illnesses caused by adenovirus and rhinovirus.
      Symptoms associated with influenza are cough and fever lasting 5 days. In the 2018–2019 season, between 54,381 (10%;

      Centers for Disease Control and Prevention. (2022). National vital statistics system. https://www.cdc.gov/nchs/nvss/.

      ) and 177,039 (15%;
      • Xu X.
      • Blanton L.
      • Elal A.I.A.
      • Alabi N.
      • Barnes J.
      • Biggerstaff M.
      • Brammer L.
      • Budd A.P.
      • Burns E.
      • Cummings C.N.
      • Garg S.
      • Kondor R.
      • Gubareva L.
      • Kniss K.
      • Nyanseor S.
      • O'Halloran A.
      • Rolfes M.
      • Sessions W.
      • Dugan V.G.
      • Jernigan D.
      Update: Influenza activity in the united states during the 2018–19 season and composition of the 2019–20 influenza vaccine.
      ) specimens tested positive for influenza. Moreover, 88.2% of the data (n = 10,766) included age information, further showing that the prevalence of influenza among children aged 0–4 years was (1,627 [15.7%] to 4,844 [12.6%]) as compared with children aged 5–24 years (3,493 [32.4%] to 12,508 [32.4%]). The cumulative hospitalization rate per 100,000 was 72 for children aged 0–4 years and 20.4 for children and adolescents aged 5–15 years (
      • Xu X.
      • Blanton L.
      • Elal A.I.A.
      • Alabi N.
      • Barnes J.
      • Biggerstaff M.
      • Brammer L.
      • Budd A.P.
      • Burns E.
      • Cummings C.N.
      • Garg S.
      • Kondor R.
      • Gubareva L.
      • Kniss K.
      • Nyanseor S.
      • O'Halloran A.
      • Rolfes M.
      • Sessions W.
      • Dugan V.G.
      • Jernigan D.
      Update: Influenza activity in the united states during the 2018–19 season and composition of the 2019–20 influenza vaccine.
      ). Twenty-eight (
      • Blanton L.
      • Dugan V.G.
      • Abd Elal A.I.
      • Alabi N.
      • Barnes J.
      • Brammer L.
      • Budd A.P.
      • Burns E.
      • Cummings C.N.
      • Garg S.
      • Garten R.
      • Gubareva L.
      • Kniss K.
      • Kramer N.
      • O'Halloran A.
      • Reed C.
      • Rolfes M.
      • Sessions W.
      • Taylor C.
      • Jernigan D
      Update: Influenza activity – United States, September 30, 2018–February 2, 2019.
      ) to 116 (
      • Xu X.
      • Blanton L.
      • Elal A.I.A.
      • Alabi N.
      • Barnes J.
      • Biggerstaff M.
      • Brammer L.
      • Budd A.P.
      • Burns E.
      • Cummings C.N.
      • Garg S.
      • Kondor R.
      • Gubareva L.
      • Kniss K.
      • Nyanseor S.
      • O'Halloran A.
      • Rolfes M.
      • Sessions W.
      • Dugan V.G.
      • Jernigan D.
      Update: Influenza activity in the united states during the 2018–19 season and composition of the 2019–20 influenza vaccine.
      ) children died of influenza during the 2018–19 season. The average age of children who died was 6.1–6.5 years (range = 2 months to 17 years;
      • Blanton L.
      • Dugan V.G.
      • Abd Elal A.I.
      • Alabi N.
      • Barnes J.
      • Brammer L.
      • Budd A.P.
      • Burns E.
      • Cummings C.N.
      • Garg S.
      • Garten R.
      • Gubareva L.
      • Kniss K.
      • Kramer N.
      • O'Halloran A.
      • Reed C.
      • Rolfes M.
      • Sessions W.
      • Taylor C.
      • Jernigan D
      Update: Influenza activity – United States, September 30, 2018–February 2, 2019.
      ;
      • Xu X.
      • Blanton L.
      • Elal A.I.A.
      • Alabi N.
      • Barnes J.
      • Biggerstaff M.
      • Brammer L.
      • Budd A.P.
      • Burns E.
      • Cummings C.N.
      • Garg S.
      • Kondor R.
      • Gubareva L.
      • Kniss K.
      • Nyanseor S.
      • O'Halloran A.
      • Rolfes M.
      • Sessions W.
      • Dugan V.G.
      • Jernigan D.
      Update: Influenza activity in the united states during the 2018–19 season and composition of the 2019–20 influenza vaccine.
      ). Results from a retrospective cohort study from the Programme de Médicalisation des Systèmes d'Information database found that influenza affected more children (n = 8,942; 19.2%) than did COVID-19 (n = 1,227; 1.4%); however, significantly more children aged < 5 years with COVID-19 (2.3%) required treatment in the intensive care unit than those with influenza (0.9%;
      • Piroth L.
      • Cottenet J.
      • Mariet A.S.
      • Bonniaud P.
      • Blot M.
      • Tubert-Bitter P.
      • Quantin C.
      Comparison of the characteristics, morbidity, and mortality of COVID-19 and seasonal influenza: A nationwide, population-based retrospective cohort study.
      ). No significant difference was found in children with COVID-19 and influenza mortality rates. Children aged 11–17 years with COVID-19 were 10 times more likely to die in the hospital than those with influenza (
      • Piroth L.
      • Cottenet J.
      • Mariet A.S.
      • Bonniaud P.
      • Blot M.
      • Tubert-Bitter P.
      • Quantin C.
      Comparison of the characteristics, morbidity, and mortality of COVID-19 and seasonal influenza: A nationwide, population-based retrospective cohort study.
      ).
      In contrast, RSV primarily affects children aged < 5 years; however, adults may also contract the virus. The most common symptoms include cough (98%), fever (75%), and labored respirations (73%). RSV accounts for > 58,000 hospitalizations in children aged < 5 years (

      Centers for Disease Control and Prevention. Trends and surveillance. https://www.cdc.gov/surveillance/nrevss/rsv/index.html.

      ). In a prospective, population-based surveillance study between 2000 and 2004, 18% of 5,067 specimens from children tested positive and were associated with 20% of annual hospitalizations. RSV-associated hospitalization was three per 1,000 children aged < 5 years and 17 per 1,000 children aged < 6 months. Significantly more inpatients were non-Hispanic white children under the age of 6 months and had private insurance (
      • Hall C.B.
      • Weinberg G.A.
      • Iwane M.K.
      • Blumkin A.K.
      • Edwards K.M.
      • Staat M.A.
      • Auinger P.
      • Griffin M.R.
      • Poehling K.A.
      • Erdman D.
      • Grijalva C.G.
      • Zhu Y.
      • Szilagyi P.
      The burden of respiratory syncytial virus infection in young children.
      ). In another prospective population-based surveillance conducted in seven U.S. pediatric hospitals from November 2015 to June 2016, 35% of hospitalized children (n = 1,043) tested positive, 87% were aged < 2 years, and 50% were aged < 6 months. The hospitalization rate was higher among males (3.3 [95% CI, 3.0–3.6]) than females (2.6 [95% CI, 2.3–2.9];
      • Rha B.
      • Curns A.T.
      • Lively J.Y.
      • Campbell A.P.
      • Englund J.A.
      • Boom J.A.
      • Azimi P.H.
      • Weinberg G.A.
      • Staat M.A.
      • Selvarangan R.
      • Halasa N.B.
      • McNeal M.M.
      • Klein E.J.
      • Harrison C.J.
      • Williams J.V.
      • Szilagyi P.G.
      • Singer M.N.
      • Sahni L.C.
      • Gerber S.I.
      Respiratory syncytial virus-associated hospitalizations among young children: 2015–2016.
      ). Of the approximately 58,000 children hospitalized (
      • Hall C.B.
      • Weinberg G.A.
      • Iwane M.K.
      • Blumkin A.K.
      • Edwards K.M.
      • Staat M.A.
      • Auinger P.
      • Griffin M.R.
      • Poehling K.A.
      • Erdman D.
      • Grijalva C.G.
      • Zhu Y.
      • Szilagyi P.
      The burden of respiratory syncytial virus infection in young children.
      ), between 100 and 500 (0.86%) died of RSV (
      • Thompson W.W.
      • Shay D.K.
      • Weintraub E.
      • Brammer L.
      • Cox N.
      • Anderson L.J.
      • Fukuda K.
      Mortality associated with influenza and respiratory syncytial virus in the United States.
      ). Reporting death from RSV is not required, which creates uncertainty regarding fatal outcomes associated with the disease (
      • Byington C.L.
      • Wilkes J.
      • Korgenski K.
      • Sheng X.
      Respiratory syncytial virus-associated mortality in hospitalized infants and young children.
      ).
      Comparing gastrointestinal symptoms associated with SARS-CoV-2 to gastroenteritis (vomiting, diarrhea) in children in the United States, gastroenteritis in the United States accounts for 200,000 hospitalizations and 300 deaths each year (
      • Hartman S.
      • Brown E.
      • Loomis E.
      • Russell H.A.
      Gastroenteritis in children.
      ). More specifically, 6.1% to 29.4% of children with gastroenteritis test positive for rotavirus, whereas Norovirus accounts for 11.9% of positive tests (
      • Muhsen K.
      • Kassem E.
      • Rubenstein U.
      • Goren S.
      • Ephros M.
      • Shulman L.M.
      • Cohen D.
      No evidence of an increase in the incidence of Norovirus gastroenteritis hospitalizations in young children after the introduction of universal rotavirus immunization in Israel.
      ). Together, rotavirus and Norovirus account for more than 58% of all cases of gastroenteritis and 10% of pediatric deaths (
      • Rivera-Dominguez G.
      • Ward R.
      Pediatric gastroenteritis.
      ).
      Comparing these three illnesses, COVID-19 symptom presentation may begin 1–14 days after exposure. The frequency of positive laboratory tests is 3.9% in children aged 0–4 years and 6.3% in children aged 5–17 years. These rates are compared with an overall positivity rate of 14.4% (
      • Dhochak N.
      • Singhal T.
      • Kabra S.K.
      • Lodha R.
      Pathophysiology of COVID-19: Why children fare better than adults?.
      ). As such, the incidence of COVID-19 in children is less than the rate of COVID-19 in adults (
      • Lu X.
      • Xiang Y.
      • Du H.
      • Wing-Kin Wong G.
      Sars-CoV-2 infection in children – Understanding the immune responses and controlling the pandemic.
      ) and less than the rate of influenza and RSV in children. The rate of hospitalization among children with COVID-19 has been calculated at 5.4% (
      • Kim T.Y.
      • Kim E.C.
      • Agudelo A.Z.
      • Friedman L.
      COVID-19 hospitalization rate in children across a private hospital network in the United States: Covid-19 hospitalization rate in children.
      ). Only two studies in this meta-analysis reported admission rates ranging from 4.7% (
      • Bhumbra S.
      • Malin S.
      • Kirkpatrick L.
      • Khaitan A.
      • John C.C.
      • Rowan C.M.
      • Enane L.A.
      Clinical features of critical coronavirus disease 2019 in children.
      ) to 74% (
      • Zachariah P.
      • Johnson C.L.
      • Halabi K.C.
      • Ahn D.
      • Sen A.I.
      • Fischer A.
      • Banker S.L.
      • Giordano M.
      • Manice C.S.
      • Diamond R.
      • Sewell T.B.
      • Schweickert A.J.
      • Babineau J.R.
      • Carter R.C.
      • Fenster D.B.
      • Orange J.S.
      • McCann T.A.
      • Kernie S.G.
      • Saiman L.
      Columbia Pediatric COVID-19 Management Group
      Epidemiology, clinical features, and disease severity in patients with coronavirus disease 2019 (COVID-19) in a Children's Hospital in New York City, New York.
      ). Higher hospitalization rates among children with COVID-19 may be attributed to an overabundance of caution when caring for patients with a novel illness. Furthermore, a comparison of mortality among children with COVID-19, influenza, RSV, and gastroenteritis shows that children with gastroenteritis are more likely to die than those with other viral illnesses. More specifically, of the 73 million children diagnosed with COVID-19, < 700 (0.001%) have died of the virus ().
      In light of the current uptick in RSV and influenza, the presentation of COVID-19 symptoms is not to be taken lightly but put into perspective in relation to these common childhood viral illnesses. Because of the similarity among symptoms of SARS-CoV-2 and other common childhood viral illnesses, diagnosing COVID-19 empirically is challenging. Therefore, testing is warranted to identify the causative agent of the illness. Regardless of test results, treatment for most viral illnesses is supportive unless a bacterial origin is identified.

      Strengths

      Our article provides a systematic review and meta-analysis of initial publications identifying key clinical symptom presentations that help clinicians recognize this disease process and intervene early to reduce poor outcomes rather than relying solely on laboratory results. Strengths of our work include the assessment of factors related to heterogeneity in reporting COVID-19 symptoms and disease severity for hospitalized children, as well as the lack of publication bias. Our meta-analysis also identifies inconsistencies in demographics reporting, disease prevalence, symptoms, hospitalizations, morbidity, and mortality. These inconsistencies create challenges for the clinician when making clinical decisions about significant symptoms that distinguish one disease from another. Therefore, reporting demographic information along with symptomology, hospitalization, morbidity, and mortality is warranted to advance health equity.

      Limitations

      Comparison of COVID-19 symptom presentation from evidence in the literature was challenging. Symptom presentation, ethnicity, race, and age group were inconsistently reported across publications, limiting the depth of detailed analysis. Comparison of the incidence of COVID-19 and the three common childhood illnesses was also challenging because COVID-19 data are reported cumulatively, whereas symptoms of common viral illnesses are reported seasonally. Comparison of the outcomes from these diseases was also challenging because reporting the incidence of RSV and death resulting from RSV is not required. Finally, all publications did not include ethnicity and/or race data. As a result, we could not determine whether symptom presentation in children differed between ethnic and/or racial groups.

      Conclusions

      SARS-CoV-2 is a viral vector with variable symptom presentation. As we continue to study COVID-19 symptom presentation in children and compare it to other viral illnesses and their outcomes, we hope to better understand the clustering of symptoms and the relationship between symptom clusters and health outcomes. This knowledge will allow for the early identification of those at greatest risk for rapid clinical decline and possible death.
      The authors would like to recognize Annie Nickum, BSN, MLIS, AHIP, Assistant Professor Information Services and Liaison Librarian, for her assistance with the literature search. The authors acknowledge Kevin Grandfield, publications manager, Department of Biobehavioral Health Science, College of Nursing, University of Illinois Chicago.

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      Biography

      Celeste M. Schultz, Clinical Assistant Professor, Department of Human Development Nursing Science, College of Nursing, University of Illinois Chicago, Chicago, IL.
      Larisa A. Burke, Visiting Research Specialist, Office of Research Facilitation, College of Nursing, University of Illinois Chicago, Chicago, IL.
      Denise A. Kent, Clinical Assistant Professor, Department of Biobehavioral Nursing Science, College of Nursing, University of Illinois Chicago, Chicago, IL.