SYSTEMATIC REVIEW article

Front. Pediatr., 03 June 2022

Sec. Pediatric Critical Care

Volume 10 - 2022 | https://doi.org/10.3389/fped.2022.874045

Consequences of Social Distancing Measures During the COVID-19 Pandemic First Wave on the Epidemiology of Children Admitted to Pediatric Emergency Departments and Pediatric Intensive Care Units: A Systematic Review

  • 1. Department of Pediatrics, Centre Hospitalier Universitaire Sainte-Justine, Pediatric Critical Care, University of Montreal, Montréal, QC, Canada

  • 2. Pediatric Intensive Care Unit, Centre Hospitalier Universitaire Robert-Debré, Assistance Publique Hôpitaux de Paris, Université de Paris, Paris, France

  • 3. School of Medicine, University of Paris Saclay, Paris, France

  • 4. Department of Intensive Care Medicine, Pediatric Critical Care Medicine, Tokyo Women's Medical University, Tokyo, Japan

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Abstract

Objectives:

To synthesize knowledge describing the impact of social distancing measures (SDM) during the first wave of the COVID-19 pandemic on acute illness in children by focusing on the admission to pediatric emergency departments (PED) and pediatric intensive care units (PICU).

Methods:

We searched Cochrane Database of Systematic Reviews, Cochrane Controlled Trials Register, EPOC Register, MEDLINE, Evidence-Based Medicine Reviews, EMBASE, WHO database on COVID-19, Cochrane Resources on COVID-19, Oxford COVID-19 Evidence Service, Google Scholar for literature on COVID-19 including pre-print engines such as medRxiv, bioRxiv, Litcovid and SSRN for unpublished studies on COVID-19 in December 2020. We did not apply study design filtering. The primary outcomes of interest were the global incidence of admission to PICU and PED, disease etiologies, and elective/emergency surgeries, compared to the historical cohort in each studied region, country, or hospital.

Results:

We identified 6,660 records and eighty-seven articles met our inclusion criteria. All the studies were with before and after study design compared with the historical data, with an overall high risk of bias. The median daily PED admissions decreased to 65% in 39 included studies and a 54% reduction in PICU admission in eight studies. A significant decline was reported in acute respiratory illness and LRTI in five studies with a median decrease of 63%. We did not find a consistent trend in the incidence of poisoning, but there was an increasing trend in burns, DKA, and a downward trend in trauma and unplanned surgeries.

Conclusions:

SDMs in the first wave of the COVID-19 pandemic reduced the global incidence of pediatric acute illnesses. However, some disease groups, such as burns and DKA, showed a tendency to increase and its severity of illness at hospital presentation. Continual effort and research into the subject should be essential for us to better understand the effects of this new phenomenon of SDMs to protect the well-being of children.

Systematic Review Registration:

Clinicaltrials.gov, identifier: CRD42020221215.

Introduction

Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-Cov-2) and its pandemic have severely affected the healthcare system worldwide as well as our social lives. Studies have demonstrated that children with COVID-19 are responding differently from the elderly population with less severity of illness requiring less emergency and critical care resources (14). Preventing transmission particularly to the elderly population and slowing the rate of infections in the community to maintain the healthcare system resulted mainly in social distancing measures (SDMs) including school closures (SCs), which came from the experience of the influenza epidemic and other previous pandemics, particularly during the first wave of this pandemic (57). Hospitals have also taken specific measures to decrease their activity in the prevision of an increase in COVID-19 admissions and workforce shortage (8). Both SDMs and hospital measures have come with many trade-offs that have impacted acute illness of children requiring Pediatric Emergency Department (PED) or Pediatric Intensive Care Unit (PICU) admission. After the first wave, various countries and regions have reported their results and insights into the consequences of their respective SDMs. This review aims to synthesize knowledge describing the impact of the SDMs together with other various measures of the first wave of the pandemic, defined in each country by the pandemic outbreak until the specific peak and secondary decline, on acute illness requiring hospital admission in children by focusing on PED and PICU admissions as well as on the main type of acute illness or injury in children.

Methods

In this review, we followed the methodology for data collection and analysis in the Cochrane Handbook for Systematic Reviews of Interventions (9). The study protocol was registered in the PROSPERO database (registration number: CRD42020221215).

Eligibility Criteria

Participants

We included pediatric patients including neonates, infants and children/adolescents regardless of gender, countries, regions, and ethnic groups.

Intervention

The impacts of the “pandemic” itself, and other medical and social measures such as social distancing measures (e.g., school closure or mandatory mask-wearing) and hospital-based clinical measures such as postponing planned surgery or restricting the planned surgery related to the COVID-19 pandemic first wave in 2020.

Comparators

The historical cohort in each studied region, country, or hospital.

Outcomes

The global incidence of admission to PED and PICU.

  • Incidence of PED admission of children with i) acute respiratory illness including respiratory illness, bronchiolitis and asthma, ii) viral infections, iii) injuries including trauma, burns and poisoning, iii) diabetic ketoacidosis (DKA), and iiii) unplanned surgery.

  • Incidence of elective/emergency surgeries like neurosurgery and cardiac surgery.

  • These categories of illness were chosen according to the usual epidemiology of children admitted to PED and to PICU and included diseases that had consensual definitions.

Search Sources

Studies were identified from journal literature and conference proceedings via systematic searches of bibliographic databases including the Cochrane Library (Cochrane Database of Systematic Reviews, Cochrane Controlled Trials Register and the EPOC Register), MEDLINE, Evidence-Based Medicine Reviews (OVID) and Embase. On top of those databases, WHO database on COVID-19, Cochrane Resources on COVID-19, Oxford COVID-19 Evidence Service, Google Scholar for literature on COVID-19 including pre-print engines such as medRxiv, bioRxiv, Litcovid and SSRN for unpublished studies on COVID-19 were searched. Electronic databases were explored for all studies published articles before December 8, 2020, using the search terms addressed in Appendix 1.

Study Selection

To be included in the review, studies needed to compare the number of admissions for the main selected diseases within two time periods: during the COVID-19 pandemic first wave period of SDM, as compared to the previous year(s), or to the period just before. Only articles in the English language were included.

Following the removal of duplicate studies, two authors (AK and ML) independently assessed the eligibility of the studies using Rayyan (https://rayyan.qcri.org/welcome). Studies were selected as being potentially relevant by screening the titles and abstracts. A third reviewer (VL) assessed all the titles and abstracts that remained in disagreement between the two investigators. We obtained the full text of the article for review when a decision cannot be made by screening the title and the abstract. The two review authors retrieved the full texts of all potentially relevant articles and independently assessed their eligibility by filling out eligibility forms designed by the specified inclusion criteria.

Data Extraction and Quality Assessment

Data from the eligible studies were extracted by two investigators using a prespecified data extraction form to record demographic data (including age, country/region), study details (aims/study question, country of origin, methods/study designs), and study outcomes.

Study quality and risk of bias was undertaken according to the Johanna Briggs Institute appraisal tool for analytical cross-sectionals studies (10). However, we did not include the assessment results of the study quality and risk of bias for each included study because all the corresponding studies were with before and after the design of the study with historical cohorts, indicating a high risk of bias without exceptions.

Data Syntheses and Analyses

Data regarding incidence in all the included studies were expressed in mean daily admissions during each study period (Period of social distancing measures = SDM period versus control period). The comparison was made using the percentage of change between the SDM period and the control periods. Median differences and interquartile ranges [IQR] were calculated for each outcome. For all the variables expressed in absolute numbers and percentages (i.e., hospital admission following PED attendance, very urgent triage codes (including patients that either required immediate resuscitation or had life-threatening conditions that required prompt evaluation by the emergency team) and PICU admissions), effects of the study period on these outcomes were reported using odds ratios (OR) and 95% confidence interval (CI) estimates.

Results

We identified 6,660 records through a systematic database search (Figure 1). We removed 52 duplicates, and the titles and abstracts of the remaining 6,608 records were screened for eligibility. We identified 139 potentially eligible articles for the full-text review. After independent assessment by the two investigators, 87 articles met our inclusion criteria and presented actionable data. All the studies were included in this review and were with before and after design with historical cohorts as expected, indicating a high risk of bias without exceptions.

Figure 1

Figure 1

Study Flow Diagram.

Countries and Regions

Of the 87 included studies (Table 1), three were international studies. Reports from 26 different countries were identified. To be specific, 15 (17%) were, respectively from the USA and Italy, 13 (15%) from the UK, 4 (5%) from Australia, 3 (3%), respectively from China, France, Ireland, and Spain, 2 (2%), respectively from Brazil, Finland, Germany, India, Japan, New-Zealand, and Turkey. The remaining studies were from Argentina, Cameroon, Canada, Indonesia, Iran, Israel, Malta, Morocco, Scotland, Slovenia, and South Africa (n = 1 in each country).

Table 1

ReferencesCountries (level of income)*Multicenter studyNumber of patients includedAge of cohortSettingsType of admissionMethod usedSDM periodComparison period
Akuaake et al. (11)South Africa (MIC)No9,982Children <13 yrs.EDEDBefore-afterMarch 27 to April 30, 2020February 21 to March 26, 2020
March 27 to April 30, 2019
March 27 to April 30, 2018
Angoulvant et al. (12)France (HIC)Yes871,543ChildrenED n = 6EDTime-series analysisMarch 17 to April 19, 2020February 15 to March 16, 2020
Araujo et al. (13)Brazil (MIC)Yes8,654ChildrenPICU n = 15PICU, bronchiolitis, asthmaInterrupted time-series methodMarch 1 to May 31, 2020
March 1 to May 31, 2020
March 1 to May 31, 2017-19
Bastemur EUK (HIC)No136Childrentransportation teamDKABefore afterMarch 1 to July 31, 2020March 1 to July 31, 2015-19
Baxter et al. (14)UK (HIC)No329ChildrenEDTraumaBefore afterMarch 24 to May 10, 2020March 24, 2020, to May 10, 2019
Bram et al. (15)USA (HIC)No1,745ChildrenED + Clinic + virtualTraumaBefore afterMarch 15 to April 15, 2020March 15 to April 15, 2018-19
Bressan et al. (16)Italy (HIC)No3,713Children > 1 yr.EDTrauma, Burn, PoisoningBefore afterMarch 8 to April 20, 2020March 8 to April 20, 2019
Britton et al. (17)Australia (HIC)NoNAChildrenEDBronchiolitis, RSVTime-series analysisApril 1 to June 30, 2020Jan 1, 2015, to March 30, 2020
Chavasse et al. (17)UK (HIC)NoNAChildren 1–17 yrs.EDAsthmaBefore afterWeek 12 to 19, 2020Week 12 to 19 2017-19
Week 8 to 11, 2020
Chelo et al. (18)Cameroon (MIC)No33,363ChildrenHAEDTime-series analysisMarch 1 to May 31, 2020March 1 to May 31, 2016–19
Christey et al. (19)New Zealand (HIC)No83Children <14 yrs. + adultsEDTraumaBefore afterMarch 26 to April 8, 2020March 5 to March 18, 2020
Ciofi degli Atti et al. (20)Italy (HIC)No18,825ChildrenEDED, TraumaBefore afterMarch 11 to April 20, 2020January 1 to February 19, 2020
February 20 to March 10, 2020
Claudet e tal. (21)France (HIC)No3,137ChildrenEDED, TraumaBefore afterMarch 17 to April 19, 2020March 17 to April 19, 2017-19
Clavenna et al. (22)Italy (HIC)No7,092ChildrenEDEDBefore afterJanuary 1 to March 31, 2020 Feb 23 to March 31, 2020January 1 to March 31, 2019 January to Feb 23, 2020
February 24 to March 31, 2020January 1 to Feb 23, 2020
D'asta FUK (HIC)No10,063ChildrenEDED, BurnBefore afterMarch 23 to April 30, 2020March 23 to April 30, 2019
Dann et al. (23)Ireland (HIC)No21,766ChildrenEDED, injury and poisoning, surgical, respiratory illnessesBefore afterMarch 1 to April 30, 2020March 1 to April 30, 2019
Davico et al.Italy (HIC)Yes15,523Children <14ED n = 2ED, seizuresBefore afterJanuary 6 to April 19, 2020January 7 to April 21, 2019
(24)yrs.January 6 to February 23, 2020January 7 to February 24, 2019
February 24 to April 19, 2020February 25 to April 21 2019
Dean et al. (25)USA (HIC)No210,358ChildrenEDEDTime series analysisDecember 31, 2019, to May 14, 2020December 31, to May 14, 2015-19
Degiorgio et al. (26)Malta (HIC)No995Children <15 yrs.EDMedical ED, respiratory illnessesBefore afterMarch 1 to May 9, 2020March 1 to May 9, 2019
Dhillon et al. (27)India (MIC)No74Children 0-12 yrs.EDTraumaBefore afterMarch 25 to May 3, 2020March 25 to May 3, 2019
May 4 to May 31, 2020May 4 to May 31, 2019
Dopfer et al. (28)Germany (HIC)No5,424ChildrenEDEDBefore afterJanuary 1 to April 19, 2020January 1 to April 19, 2019
Dyson et al. (29)UK (HIC)No146ChildrenNeurosurgery admissionNeurosurgery admissionBefore afterMarch 23 to May 3, 2020March 25 to May 5, 2019
Ferrero et al. (30)Argentina (MIC)NoChildren 0–18 yrs.EDEDBefore afterJanuary 1 to May 31, 2020January 1 to May 31, 2019
Fisher et al. (31)USA (HIC)Yes1,346ChildrenED n=3AppendicitisBefore afterMarch 1 to May 7, 2020January 1, 2014, to June 1, 2019
Friedrich et al. (32)Brazil (MIC)Yes167,870Children 0–1 yr.ED / National database n = NABronchiolitisTimes series analysisMarch 1 to June 30, 2020March 1 to June 30, 2016-2019
Gerall et al. (33)USA (HIC)No89ChildrenSurgeryAppendicitisBefore afterMarch 1 to May 31, 2020March 1, 2019, to May 31, 2019
Giamberti et al. (34)Italy (HIC)YesChildrenCardiac surgery n = 14Cardiac surgeryBefore afterMarch 9 to May 4, 2020March 9 to May 4, 2019
Goldman et al. (35)Canada (HIC)Yes88,368Children 0–16 yrs.ED n = 18EDBefore afterMarch 17 to April 30, 2020March 17 to April 30, 2019
December 1, 2019, to January 27, 2020
January 28, 2020, to March 16, 2020
Graciano et al. (24)USA (HIC)No1,487ChildrenPICUPICU, bronchiolitis, asthmaBefore afterMarch 1 to May 31, 2020March 1 to May 31, 2015-2019
Gunadi et al. (36)Indonesia (MIC)No152ChildrenSurgeryPediatric surgeryBefore afterMarch 1 to May 31 2020March 1, 2019 – February 29, 2020
Hampton et al. (37)UK (HIC)No5,165Children + adultsEDED, traumaBefore afterMarch 24 to April 7, 2020March 24 to April 7, 2019
March 10 to March 23, 2020
Hartnett et al. (38)USA (HIC)Yes>1,600,000Children 0–14 yrs. + adultsED n = 3552EDBefore afterMarch 29 to April 25, 2020March 31 to April 27, 2019
Hughes et al. (39)UK (HIC)Yes8,915Children 0-14 yrs. + adultsED n = 109EDBefore afterMarch 12 to April 26, 2020March 14 to April 28, 2019
Iozzi et al. (40)Italy (HIC)No2,956ChildrenEDED, traumaBefore afterMarch 10 to May 3, 2020March 10 to May 3, 2019
Izba et al. (24)UK/USA (HIC)YesNAChildren 0–16 yrs.ED n = 2EDBefore afterJanuary 1 to May 20, 2020January 1 to May, 2019
Weeks 1–12, 2020Weeks 1–12, 2019
Weeks 13–20, 2020Weeks 13–20, 2019
Kamrath et al. (31)Germany (HIC)Yes1,491ChildrenED n = 217DKABefore afterMarch 13 to May 13, 2020March 13 to May 13, 2018–19
Rose et al. (41)UK (HIC)No4,690Children 0–16 yrs.EDED, head traumaBefore afterMarch 21 to April 26, 2020March 21 to April 26, 2019
Kishimoto et al. (14)Japan (HIC)Yes75,053Children 0-15 yrs.HA n = 210Appendicitis, influenzaInterrupted time series analysisMarch 1 to June 30, 2020July 1, 2018, to February 29, 2020
Korun et al. (42)Turkey (MIC)No696ChildrenCardiac surgeryCardiac surgeryBefore afterMarch 11 to May 11, 2020March 11, 2019, to March 10, 2020
Krivec et al. (43)Slovenia (HIC)No27ChildrenHAAsthmaBefore afterMarch 16 to April 20, 2020March 16 to April 20, 2017–19
Kruchevsky et al. (44)Israel (HIC)No8,291Children + adultsEDED, Burn, TraumaBefore afterMarch 14 to April 20, 2020March 14 to April 20, 2017–19
Kuitunen et al. (24)Finland (HIC)Yes1,174ChildrenED n=2EDBefore afterMarch 16 to April 12, 2020February 17 to March 15, 2020
Kvasnovsky et al. (45)USA (HIC)No205ChildrenSurgeryAppendicitisBefore afterMarch 31 to May 3, 2020March 31 to May 3, 2017–2019
Lalarukh et al. (46)UK (HIC)NoNAChildren <18 yrs.EDEDBefore afterMarch 1 to May 31, 2020March 1 to May 31, 2019
Lawrence et al. (47)Australia (HIC)No43Children <18 yrs.EDED, DKABefore afterMarch 1 to May 31, 2020March 1 to May 31, 2015-19
Lee et al. (48)USA/Singapore/
Australia/France (HIC)
YesNAChildrenED n = 5ED, PICUTime series analysisDecember 1, 2017, to August 10, 2020
Lee-Archer et al. (49)Australia (HIC)No105ChildrenSurgeryAppendicitisBefore afterMarch 16 to May 5, 2020March 16 to May 5, 2019
Lv et al. (24)China (MIC)Yes194Children + adultsED n = 11FracturesBefore afterJanuary 20, to February 19, 2020January 31 to March 2, 2019
Mann et al. (50)UK (HIC)No147ChildrenEDBurnsBefore afterMarch 23 to May 31, 2020March 23 to May 31, 2019
Manzoni et al. (48)Italy (HIC)Yes1,654ChildrenED n = 2ED, Trauma, Urgent surgeryBefore afterMarch 1 to April 30, 2020March 1 to April 30, 2019
Matthay et al. (51)USA (HIC)No20,129 C+AChildren <15 yrs. + adultsEDTraumaInterrupted time-series analysisMarch 17 to June 30, 2020January 1, 2015, to March 17, 2020
McDonnell et al. (52)Ireland (HIC)Yes61,317ChildrenED n = 5EDBefore afterFebruary 29 to March 12, 2020February 29 to March 12, 2018–19
March 13 to March 27, 2020March 13 to March 27, 2018–19
March 28 to May 17, 2020March 28 to May 17, 2018–19
Mekaoui et al. (53)Morocco (MIC)No5,342Children <16 yrs.EDEDBefore afterMarch 16 to April 15, 2020March 16 to April 15, 2019
Memeo et al. (54)Italy (HIC)Yes1,380Children 0-17 yrs.Trauma ED n = 2TraumaBefore afterFebruary 23 to April 15, 2020February 23 to April 15, 2019
Molina Gutiérrez et al. (55)Spain (HIC)No6,493Children <18 yrs.EDED, trauma, poisoningBefore afterMarch 14 to April 17, 2020March 14 to April 17, 2019
Montalva et al. (49)France (HIC)No108ChildrenSurgeryAppendicitisBefore afterJanuary 20 to March 16, 2020March 17 to May 11, 2020
Nabian et al. (56)Iran (MIC)No877Children <18 yrs.Trauma EDTraumaBefore afterMarch 1 to April 15, 2020March 1 to April 15, 2018-19
Nelson et al. (57)USA (HIC)No94ChildrenSurgeryTesticular torsionBefore afterMarch 1 to May 31, 2020January 1, 2018, to February 29, 2020
Nolen et al. (58)USA (HIC)NoNAChildren <3 yrs.EDRSV, ARITime series analysisJanuary 1 to May 31, 2020January 1 to May 31, 2009-19
Nourazari et al. (59)USA (HIC)Yes501,369Children + adultsED n = 12EDBefore afterJanuary 1 to August 9, 2020January 1 to September 9, 2019
Okonkwo et al. (60)UK (HIC)No3,826ChildrenSurgeryemergency surgeryBefore afterMarch 23 to May 25, 2020March 23 to May 25, 2019
Palladino et al. (61)Italy (HIC)No57Children 4–14 yearsEDED, seizuresBefore afterMarch 9 to May 4, 2020March 9 to May 4, 2019
Park et al. (62)UK (HIC)No39Children + adultsEDTraumaBefore afterMarch 17 to April 15, 2020March 17 to April 15, 2019
Peiro-Garcia et al. (63)Spain (HIC)NoNAChildrenOrthopedic surgeryOrthopedic surgery & TraumaBefore afterMarch 14 to April 14, 2020March 14 to April 14, 2018–19
Pines et al. (64)USA (HIC)Yes383,033Children + adultsED n = 144ED, asthma, influenzae, viral infection, DKA, Appendicitis, Intussepstion, testicular torsionBefore afterMarch 13 to June 30, 2020March 13 to June 30, 2019
Place (65)USA (HIC)No160Children <18 yrs.EDAppendicitisBefore afterMarch 16 to June 7, 2020March 16 to June 7, 2019
Qasim et al. (66)USA (HIC)Yes336Children + adultsED n = 2TraumaBefore afterMarch 9 to April 19, 2020March 9 to April 19, 2019
Raitio et al. (67)Finland (HIC)Yes1,755ChildrenSurgery n = 5TraumaBefore afterMarch 1 to May 31, 2020March 1 to May 31, 2017–19
Raman et al. (68)India (MIC)No1,070ChildrenEDED, PICUBefore afterApril 1 to July 31, 2020April 1 to July 31, 2019
Pediatric Surgery Trainee Research NetworkUK (HIC)Yes87ChildrenSurgery n = 10Pyloric stenosisBefore afterMarch 23 to May 31, 2020March 23 to May 31, 2019
Scaramuzza AItaly (HIC)Yes3,912Children <15 yrs.ED n = 2EDBefore afterFebruary 20 to March 30, 2020February 20 to March 30, 2019
Bun et al. (43)Japan (HIC)Yes10,481Children <15 yrs.ED n = 67AsthmaInterrupted time-series analysisJuly 1, 2019, to June 30, 2020July 1, 2018, to June 30, 2019
Sheridan et al. (69)Ireland (HIC)No423ChildrenEDTraumaBefore afterMarch 13 to April 13, 2020March 13 to April 13, 2009–19
Sherman et al. (70)USA (HIC)No224Children + adultsEDTraumaBefore afterMarch 20 to May 14, 2020March 20 to May 14, 2017–19
Shi et al. (42)China (MIC)Yes4,877ChildrenCardiac surgery n = 13Cardiac surgeryBefore afterJanuary 23 to April 8, 2020January 23 to April 8, 2018–19
Smarrazzo AItaly (HIC)NoChildrenEDEDBefore afterMarch 1 to May 31, 2020March 1 to May 31, 2019
Sperotto et al. (71)Italy (HIC)Yes1,001ChildrenPICU n = 4PICU, Seizures, Surgical, Trauma, Respiratory lower tractBefore afterFebruary 24 to April 20, 2020December 30, 2019, to February 24, 2020
February 24 to April 20, 2019
Williams et al. (72)Scotland (HIC)YesED 462,437Children 0–14 yrs.ED n=NA, PICU n = 2ED, PICU, Surgical ED, Bronchiolitis, Asthma, SeizuresBefore afterMarch 23 to August 9, 2020March 23 to August 9, 2016–19
PICU 413February 2 to August 9, 2020February 2 to August 9, 2016–19
March 23 to June 30, 2020March 23 to June 30, 2016–19
Trenholme et al. (17)New Zealand (HIC)No5,248Children <2 yrs.HospitalLRTI, RSV, Influenza A, B, Rhinovirus/enterovirus, adenovirusInterrupted time-series analysisMarch 1 to August 31, 2020March 1 to August 31, 2015–019
Turgut et al. (73)Turkey (MIC)No2,216Children <16 yrs.HospitalOrthopedic surgery & TraumaBefore-afterMarch 16 to May 22, 2020March 16 to May 22, 2018 & 2019
Valitutti et al. (74)Italy (HIC)Yes38,501ChildrenED n = 2ED, trauma, burn, seizureBefore-afterMarch 1 to May 31, 2020March 1 to May 31, 2019
Vásquez-Hoyos (58)Colombia, Bolivia, Chile, Uruguay (MIC)Yes3,041Children <18 yrs.PICUPICU, LRTI, bronchiolitis, RSV, influenzaBefore-afterJanuary 1 to August 31, 2020January 1 to August 31, 2018-19
Velayos et al. (75)Spain (HIC)No66Children <18 yrs.SurgeryAppendicitisBefore-afterJanuary 1 to March 14, 2020March 15 to April 30, 2020
Vierucci et al. (76)Italy (HIC)No1,418ChildrenEDED, LRTI, Trauma, Febrile Seizure, AppendicitisBefore-afterMarch 9 to May 31, 2020January 1 to March 8, 2020
March 1 to May 31, 2020January 1 to February 29, 2019
Wei et al. (3)China (MIC)No4,527ChildrenSurgeryUrgent surgeryBefore afterJanuary 23 to May 21, 2020January 23 to May 21, 2019
Wong et al. (67)Australia (HIC)No621ChildrenOrthopedics EDTraumaBefore afterMarch 16 to April 26, 2020March 18 to April 28, 2019
Zampieri et al. (77)Italy (HIC)No95ChildrenSurgeryAppendicitisBefore-afterMarch 1 to April 30, 2020March 1 to April 30, 2011-19

Included studies.

*LIC, low-income country; MIC, middle-income country; HIC, High-income country.

Study Settings and Data Sources

Among all the included studies, 59 were studies performed in PEDs, five in PICUs, 17 used institutional surgical databases (including three studies on congenital heart disease and one on neurosurgery), and three used a hospital-based administrative database.

Impact on Pediatric Emergency and Intensive Care Unit Admission

Admissions to Pediatric Emergency Department

We included 39 studies from 19 countries including 15 multicenter studies (11, 12, 16, 18, 2026, 28, 30, 35, 3741, 44, 4648, 52, 53, 55, 59, 61, 64, 65, 68, 72, 74, 76, 7882) (Supplementary Table 1). All the included studies found a decrease in daily PED admissions during the SDM period with a median reduction of 65% [IQR: 52–72%] compared to historical cohorts. When focusing on studies including the largest number of patients (i.e., more than 200 mean daily admissions in the control period) (12, 20, 24, 35, 64, 65, 74), the reduction in PED attendance ranged from 38 to 77%.

Of these studies, 15 presented data on hospital admission following PED attendance (22, 23, 28, 35, 41, 52, 53, 55, 65, 68, 72, 74, 76, 79, 80) (Supplementary Table 2). Overall, during the SDM period, we observed a significant increase in the proportion of patients admitted to the hospital after PED visits with median ORs ranging from 1.12 to 3.51 (n = 13/15).

Ten studies looked at the proportions of very-urgent triage code on the presentation at PEDs (11, 22, 23, 25, 35, 41, 53, 59, 72, 74) but results were not consistent (Supplementary Table 3). In particular, compared with the same period in previous years, four studies found a significant increase in the proportion of very-urgent triage code (35, 41, 59, 74) whereas others found no difference (11, 22, 23, 53, 72) or even a decrease (25). However, when comparing to the period just before the SDM period, three studies found a significant increase in these urgent PED admissions (11, 22, 35).

Pediatric Intensive Care Unit Admissions

We included eight studies with data regarding PICU admission (13, 26, 48, 58, 71, 8183) with two international studies and six studies, respectively from Brazil, India, Italy, Malta, Scotland, and the USA including data from a total of 51 PICUs. All the studies found a reduction in daily PICU attendances with a median reduction of 54% [IQR: 48–65%] compared with controlled periods (Table 2). Two large multicenter studies from South America including 15 and 22 PICUs found, respectively a decrease of 53% of all the PICU admissions (13) and 83% of respiratory PICU admissions (58). Only one out of all the 51 study sites included in these studies from France found an increase of 2% in the mean number of daily admissions (48). Of note, one study from India found an overall decrease of PICU admissions of 26% in the SDM period but a significantly higher proportion of patients admitted to PICU after PED attendance (20%) compared with the control period (9, 6%) (OR: 2.35, 95%CI: 1.61–3.42) (81).

Table 2

StudyStudy periodsComparison (absolute reduction or OR (IQR)
SDM periodControl periodMean daily admission
ReferencesCountry & regionSettingPeriodNumber of patientsAge of cohortPeriodNumber of patientsAge of cohortSDM periodControl period
Araujo et al. (13)BrazilPICU n = 15March 1 to May 31, 202011814.3 (+/-6.9)March 1 to May 31, 2017–20197,473NA12.9827.37−53%
March 1 to May 31, 20192,5642.5 (+/-3.7) 201928.18−54%
March 1 to May 31, 20182,5992.6 (+/-6.7) 201828.56−55%
March 1 to May 31, 20172,3102.8 (+/-3.8) 201725.38−49%
DegiorgioMaltaPICU n = 1March 1 to May 9, 20203NAMarch 1–May 9, 20198NA0.040.12−63%
Graciano ALUSAPICU n = 1March 1 to 31 May, 2020101NAMarch 1 to 31 May, 2019195NA1.112.14−48%
March 1 to 31 May, 20182753.02−63%
March 1 to 31 May, 20173093.40−67%
March 1 to 31 May, 20162993.29−66%
March 1 to 31 May, 20153083.38−67%
Lee LUSA/Singapore/
Australia/France
ED n = 5Singapore, May 4, 2020NANASingapore, March 15, 2020NANANANA−38 %
Paris, May 4, 2020Paris, March 15, 2020NANANA+2%
Boston, May 4, 2020Boston, March 15, 2020NANANA−12 %
Seattle, May 4, 2020Seattle, March 15, 2020NANANA−36 %
Melbourne, May 4, 2020Melbourne, March 15, 2020NANANA−34 %
Raman et al. (68)IndiaED n = 1April 1 to July 31, 2020280NAApril 1 to July 31, 2019790NA0.460.63−26%
56/280 (20%)76/790 (9.6%)2.35 (1.61, 3.42), p <0.001
Sperotto et al. (71)ItalyPICU n = 4February 24 to April 20, 2020166NADecember 30, 2019, to February 24, 2020277NA2.964.95−40%
February 24 to April 20, 20192594.71−36%
Williams e tal. (72)ScotlandPICU n = 2March 23 to June 30, 2020413 totalNAMarch 23 to June 30, 2016-2019413 totalNA413 totalNA0.52 (0.37–0.70),
p <0.001
Vásquez-Hoyos PColombia, Bolivia, Chile, UruguayPICU 22January 1 to August 31, 2020234NAJanuary 1 to August 31, 2018–20192,807NA0.965.80−83%

PICU Admissions.

OR, Odds Ratio.

Impacts on Each Etiology of Illness

Respiratory Illness

Acute Respiratory Illness

Seven studies presented data regarding acute respiratory illnesses including 5 focusing on lower respiratory tract infections (LRTI) (17, 23, 26, 58, 76, 83, 84) reported from Malta, Ireland, Italy, New Zealand and four South American countries (Colombia, Bolivia, Chile, and Uruguay) (Supplementary Table 4). There was a significant decline reported in acute respiratory illness and LRTI in the five studies, all of which examined data in the PED (17, 23, 26, 76, 84) during the SDM period compared with the control periods (median decrease of 63% [50–80%]). A study from the US found that the proportion of admissions related to respiratory illness was 3.6% of all the PED admissions during the SDM period compared with 22.8% during the same period during the 10 previous years (p < 0.001) (84). The two studies performed in PICU also found a marked reduction in PICU admissions due to LRTI during the SDM period (52 and 83%) (58, 83).

Bronchiolitis

Seven studies presented data regarding acute bronchiolitis admissions (13, 23, 32, 58, 71, 82, 85) from Brazil, Australia, Ireland, USA, Scotland and four South American countries (Colombia, Bolivia, Chile, and Uruguay) (Supplementary Table 5). Three studies were performed in PEDs and found a significant reduction in hospital admissions during the SDM period ranging from 34 to 85% (23, 32, 85). The other studies looked at the data in PICU and found a similar significant reduction in children requiring critical care admission for acute bronchiolitis with a median decrease of 73% [69–78%] (13, 58, 71, 82).

Asthma

Seven studies presented data regarding pediatric asthma admissions (13, 43, 65, 71, 86, 87) in Brazil, the USA, the UK, Slovenia, Japan, and Scotland. Four studies performed in PED found a decrease in admissions due to asthma from 32 to 90% (43, 65, 86, 87) and two studies performed in PICUs found similar findings with a decrease of 58 to 100% (13, 82) (Supplementary Table 6).

Viral Infections

Seven studies (14, 17, 23, 32, 58, 65, 84) showed data regarding viral infections in Australia, Ireland, Japan, USA, New Zealand, and four South American countries (Colombia, Bolivia, Chile, and Uruguay) (Supplementary Table 7), found a significant decrease in the number of admissions due to viral infection (23, 65).

Four studies (17, 32, 58, 84) included data on RSV infections requiring PED or PICU admission during the SDM period, all of which presented a significant reduction in the incidence of presentation with RSV infections in PED (17, 32, 84) as well as in PICU (58). Similarly, PED and PICU presentations for Influenza infection reduced dramatically during the SDM period in three studies (17, 58, 65) and more mildly in a Japanese study (14). On the contrary, a study performed in New Zealand found that hospitalizations for Adenovirus or Rhinovirus/Enterovirus infections during the SDM period stayed at a similar level to the previous years (17).

Injuries (Trauma, Burns and Poisoning)

Trauma

We included 32 studies with data regarding trauma admissions to PED (n = 29) (15, 16, 1921, 23, 27, 29, 37, 40, 41, 44, 51, 52, 54, 56, 59, 62, 63, 6567, 69, 70, 73, 74, 76, 88, 89), PICU (n = 2) (82, 83), and a study specifically looking at neurosurgery for head trauma in children (n = 1) (50) (Supplementary Table 8). Of the studies in the PED, 93% of the studies (27/29) found a significant decline in admissions linked to trauma with SDMs (median reduction of 48% [35–63%]). On the contrary, 7% (2/29) reported an increase in trauma admission (16, 40, 50).

The two studies including data from patients admitted to PICU found a decrease of trauma admissions from 17 to 61% (82, 83) during the SDM period.

Burns

We included five studies with data regarding burns (16, 44, 74, 78, 90) respectively from the UK, Italy, and Israel (Supplementary Table 9). Four studies (44, 74, 78, 90) reported a decrease in the number of burns presenting to the PED (from 22 to 66%); while one found a slight increase in the number of burns (16) during the SDM period. However, the severity of burns at the time of hospital presentation was higher for the SDM cohorts compared to the historical (44, 78, 90). A study from the UK (78) reported that more patients presented with burns with greater total body surface area (TBSA); 50% of the patients with >5% TBSA burns in the COVID-19 pandemic compared with 5% in the control period. The study in Israel reported that the majority of burns were scalded during the SDM period; while, during previous years, causes of burns were more diverse, including scald, contact, fire, sun, and chemical injuries (44).

Poisoning

We included three studies with data regarding poisoning (16, 23, 59) respectively from Italy, Ireland, and Spain (Supplementary Table 10). Two of them (16, 23) did not find a significant change in the number of PED presentations for poisoning; while one found a 76% decrease in the number of hospital admissions (59). One study differentiated accidental from deliberate poisoning (23) with no differences found in both series. An Italian study found an increased incidence ratio for hospitalization in intoxicated children during the SDM period (9.0 (0.5 to 167.2), p = 0.14).

Diabetic Ketoacidosis

We found 4 studies with data regarding diabetic ketoacidosis (DKA) (31, 47, 65, 91) each from the UK, Germany, Australia, and the USA (Supplementary Table 11). Three of them found an overall increase in the referral of DKA to ED compared with previous years (93 to 264% increase). These studies also found an increase in admission of severe DKA; and the initial pH, bicarbonate and glucose levels at hospital presentations were significantly worse in the SDM group compared to the historical cohort (31, 47).

Surgery

Unplanned Surgery

A total of 20 studies met the inclusion criteria looking at unplanned surgeries, in Australia, China, France, Indonesia, Ireland, Italy, Japan, Scotland, the UK, and the USA (14, 23, 33, 36, 45, 49, 52, 57, 60, 65, 66, 68, 7577, 82, 83, 9295) (Supplementary Table 12). These examined data on PED/PICU admissions for acute surgical conditions, appendicitis, intussusception, testicular torsion, and pyloric stenosis as well as data on emergency surgeries performed.

Regarding studies including data on acute surgical disease, two studies found a decrease in the number of admission for acute surgical disease to PED and PICU from 9 to 40% although non-significant in the PICU (23, 83). Regarding the number of emergency surgeries performed for acute conditions, most studies found a decrease from 25 to 70% in the SDM period (77, 92, 93).

Four studies found an increase in the number of admissions with acute appendicitis during the SDM period ranging from 18 to 64% (33, 36, 45, 68). Two studies also addressed the significant increase in the proportion of perforated appendicitis (33, 68). On the contrary, three studies found a decrease in the number of admissions for appendicitis from 16 to 71% (49, 65, 76).

In addition, two studies found an increase in the number of testicular torsions (60, 65), one study found an increase in the number of pyloric stenosis (94) and one study found a decrease in the number of intussusception (65) during the SDM period compared with control periods.

Neurosurgery and Cardiac Surgery

Three studies reported the data of incidence of cardiac surgery for congenital heart disease during the SDM period in China, Italy, and Turkey (34, 42, 96). All three found a decrease in mean daily cases of cardiac surgery performed during the SDM period with a reduction of 52 to 88%.

Regarding studies on pediatric neurosurgery, only one study was included (50). The study reported an increase in the number of hospital admission in a pediatric neurosurgical unit during the SDM period by 14.7%.

Discussions

Since the beginning of the COVID-19 pandemic, especially during the first wave, several modes of SDMs have been issued in most countries and regions, including school closures and restrictions on children's social activities (97). The COVID-19 pandemic was the first global pandemic in modern society with such a great impact on contemporary medical infrastructures. Therefore, facing the threat to healthcare systems capacities, SDMs were widely imposed worldwide as emergency measures and their consequences on other diseases than COVID-19 had never been described. Since then, the effects of SDM on the epidemiological dynamics of patients have been examined in various countries and regions. This systematic review summarized these studies and integrated the knowledge on the effect of SDM on acute illness in children to prepare for potential future pandemic threats during which the question of implementing SDM might arise again.

We found that SDMs in both developed and developing countries brought down the incidence of PED visits while the severity of illness at the time of the visit increased. Regarding the number of PED visits, this phenomenon might have occurred due to the decrease of morbidity or due to the avoidance of hospital visits associated with the current pandemic. The increased severity of patients might have resulted from the fact that parents tended to wait to present to the PED when their children got sick instead of immediate visits. Public communication and outreach are warranted to encourage parents/guardians to seek appropriate medical attention for emergencies of their children (28).

Likewise, a decrease in PICU admissions was also observed in almost all the reports. These results suggested that the reduction of the incidence of seasonal viral infections, and the resulting decline in the number of patients with respiratory diseases, one of the most common causes of admission to PICU, were the possible major factors behind. There was nearly a 50% decrease in general in the number of PICU admissions, and this can be important preliminary information for securing hospital beds in the event of a future pandemic or disaster, for instance, as a consequence of SDMs. These results have been confirmed by other studies published more recently (98100).

In this study, we also compiled information on poisoning, trauma, and burns. Despite the isolation of children at home and its associated consequences both on mental health and on the access to potential accidental poisons, none of the included studies found a significant increase in accidental or deliberate poisoning. However, with the repetition of SDMs and the duration of the pandemic, the mental health of children and teenagers was strongly impacted and many studies were published since then reporting an increased incidence of mental health disorder during the COVID-19 pandemic (101, 102) but this does not seem to result in intentional poisoning increase (103).

As for burns, the number of cases decreased, but the severity at the time of consultation increased. It was encouraging that pandemic with SDMs did not translate into an increase of pediatric burn; however, parents might have chosen to seek advice from other services such as local pharmacies to avoid visits to the PED, which might explain the severity of burn at a hospital visit. The causes were more likely to be scald which might be explained by the increase in time spent at home. As for traumatic injuries, there was a general downward trend, and we believe that this was largely due to the eviction from school and the drop-in outdoor activities of kids.

DKA tended to increase, as well as the severity of the disease at the time of the hospital visit. We could assume that anxiety about presenting to the hospital led to a delay in diagnosis or receiving treatment before getting a critical condition. There has also been speculation that COVID-19 infection itself could trigger the development of DKA via direct damage to pancreatic beta cells, which might increase its actual incidence (104).

Lastly, regarding surgeries, the incidence of acute appendicitis requiring surgical intervention also increased during the SDM period, and the rate of perforated cases was reported to have risen. This might also be a result of the fact that the patients refrained from seeking medical attention until the last minute of the condition. On the contrary, the number of planned surgeries decreased significantly due to the organizational changes in the SDMs. Since a large proportion of pediatric surgical conditions, including congenital heart disease, cannot be performed on a standby basis, this might have had a significant impact on subsequent patient outcomes.

This study had limitations. First, different policies and timings of implementation must have been taken by the countries or regions in SDMs (105) although the measures were overall more strict (including national lockdowns) and similar during the first wave than during subsequent ones. For example, during the first wave, regulations and their compelling force differed from province to province and country to country. For example, in Canada, regulations for wearing masks in schools and indoors were established relatively quickly, but outdoor measures were delayed in some provinces. In some countries, such as Japan, there were no governmental regulations with strong compelling force issued as Canada, but only regulations based on a request basis to the public. Second, the magnitude of the wave of the pandemic varied from country to country, and the size of the effect of SDM itself may have been affected by this. Furthermore, since the seasons are different in the northern and southern hemispheres during the first wave, the impact of SDM on infection, respiratory diseases, and social activities may have been different in each country. Lastly, the historical cohorts to be compared in each study could be heterogeneous, and we believe that we should be cautious in evaluating them.

In conclusion, this review found that acute pediatric hospital care was significantly affected by the first wave of the COVID-19 pandemic and related SDMs in a wide range of ways. Overall admissions to PED and PICU significantly decreased. Some diseases, such as infectious diseases, decreased, while others increased in incidence and severity such as DKA. The continual effort and research in the field should be essential for us to better comprehend the effects of this new phenomenon of SDMs, to aim at minimizing possible collateral damage caused by such delays in emergency healthcare utilization, which eventually leads to protecting the well-being of children. These lessons we learned here should count for options for structuring SDMs if needed in response to future local outbreaks or pandemics in our modern society, especially given the potential harm of SDM on children's well-being (106).

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Statements

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.

Author contributions

AK and ML conceptualized, designed the review and carried out a systematic review and subsequent analysis, drafted the initial manuscript (method and result part), revised the initial manuscript, and approved the final manuscript as submitted. AK also constructed a search formula and searched. VL assessed all the titles and abstracts that remained in disagreement between the two investigators AK and ML. CS performed the statistical analyses. VL, CS, and PJ reviewed and revised the manuscript, and approved the final version as submitted. All authors contributed to the article and approved the submitted version.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fped.2022.874045/full#supplementary-material

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Appendix 1

Each digital database was searched with the following search terms.

  • i) Population: “pediatrics”, “infant, newborn”, “child”, “adolescent”, “infant” and “newborn”.

  • ii) Exposures: “social distancing”, “measure”, “policy”, “regulation”, “quarantine”, “isolation”, “non-pharmacological interventions” combined with “COVID-19”, “Novel Coronavirus” or “SARS-COV2”.

  • iii) Outcomes: “Hospitalization”, “admission”, “incidence”, “occurrence”.

The search strategy used MeSH terms unless indicated otherwise.

Summary

Keywords

social distancing measures, school closure, lockdown, pediatrics, emergency care, pediatric intensive care unit (PICU), SARS-CoV-2, pandemic (COVID-19)

Citation

Levy M, Lestrade V, Said C, Jouvet P and Kawaguchi A (2022) Consequences of Social Distancing Measures During the COVID-19 Pandemic First Wave on the Epidemiology of Children Admitted to Pediatric Emergency Departments and Pediatric Intensive Care Units: A Systematic Review. Front. Pediatr. 10:874045. doi: 10.3389/fped.2022.874045

Received

11 February 2022

Accepted

28 April 2022

Published

03 June 2022

Volume

10 - 2022

Edited by

Brenda M. Morrow, University of Cape Town, South Africa

Reviewed by

Madhusudan Samprathi, All India Institute of Medical Sciences, India; Tanil Kendirli, Ankara University, Turkey; Shu-Ling Chong, KK Women's and Children's Hospital, Singapore

Updates

Copyright

*Correspondence: Atsushi Kawaguchi

This article was submitted to Autism, a section of the journal Frontiers in Pediatrics

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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