BackgroundThe majority of childhood deaths occur in low- and middle-income countries (LMICs). Many of these deaths are avoidable with basic critical care interventions. Quantifying the burden of pediatric critical illness in LMICs is essential for targeting interventions to reduce childhood mortality.ObjectiveTo determine the burden of hospitalization and mortality associated with acute pediatric critical illness in LMICs through a systematic review and meta-analysis of the literature.Data Sources and Search StrategyWe will identify eligible studies by searching MEDLINE, EMBASE, CINAHL, and LILACS using MeSH terms and keywords. Results will be limited to infants or children (ages >28 days to 12 years) hospitalized in LMICs and publications in English, Spanish, or French. Publications with non-original data (e.g., comments, editorials, letters, notes, conference materials) will be excluded.Study SelectionWe will include observational studies published since January 1, 2005, that meet all eligibility criteria and for which a full text can be located.Data ExtractionData extraction will include information related to study characteristics, hospital characteristics, underlying population characteristics, patient population characteristics, and outcomes.Data SynthesisWe will extract and report data on study, hospital, and patient characteristics; outcomes; and risk of bias. We will report the causes of admission and mortality by region, country income level, and age. We will report or calculate the case fatality rate (CFR) for each diagnosis when data allow.ConclusionsBy understanding the burden of pediatric critical illness in LMICs, we can advocate for resources and inform resource allocation and investment decisions to improve the management and outcomes of children with acute pediatric critical illness in LMICs.

The COVID-19 pandemic reached the United States in early 2020 and spread rapidly across the country. This retrospective study describes the demographic and clinical characteristics of 308 children presenting to an Arkansas Children’s emergency department (ED) or admitted to an Arkansas Children’s hospital with COVID-19 in the first 10 months of the COVID-19 pandemic, prior to the emergence of clinically significant variants and available vaccinations. Adolescents aged 13 and older represented the largest proportion of this population. The most common presenting symptoms were fever, gastrointestinal symptoms, and upper respiratory symptoms. Patients with multisystem inflammatory syndrome in children (MIS-C) had a longer length of stay (LOS) than patients with acute COVID-19. Children from urban zip codes had lower odds of admission but were more likely to be readmitted after discharge. Nearly twenty percent of the study population incidentally tested positive for COVID-19. Despite lower mortality in children with COVID than in adults, morbidity and resource utilization are significant. With many Arkansas children living in rural areas and therefore far from pediatric hospitals, community hospitals should be prepared to evaluate children presenting with COVID-19 and to determine which children warrant transport to pediatric-specific facilities.

Purpose: To identify characteristics of SARS CoV2 infection that are associated with hospitalization in children initially evaluated in a Pediatric Emergency Department (ED). Methods: We identified cases of SARS CoV2 positive patients seen in the Arkansas Childrens Hospital (ACH) ED or hospitalized between May 27, 2020, and April 28, 2022 using ICD10 codes within the Pediatric Hospital Information System (PHIS) Database. We compared infection waves for differences in patient characteristics, and used logistic regressions to examine which characteristics led to a higher chance of hospitalization. Findings: We included 681 preDelta cases, 673 Delta cases, and 970 Omicron cases. Almost 17% of patients were admitted to the hospital. Compared to Omicron infected children, preDelta and Delta infected children were twice as likely to be hospitalized (OR=2.2 and 2.0, respectively; p<0.0001). Infants less than 1 year of age were >3 times as likely to be hospitalized than children ages 5 to 14 years regardless of wave (OR=3.42; 95%CI=2.36 to 4.94). Rural children were almost 3 times as likely than urban children to be hospitalized across all waves (OR=2.73; 95%CI=1.97 to 3.78). Finally, those with a complex condition had nearly a 15 fold increase in odds of admission (OR=14.6; 95%CI=10.6 to 20.0). Conclusions: Children diagnosed during the preDelta or Delta waves were more likely to be hospitalized than those diagnosed during the Omicron wave. Younger and rural patients were more likely to be hospitalized regardless of wave. We suspect lower vaccination rates and larger distances from medical care influenced higher hospitalization rates.

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