Evidence map›Paper›PMID 34572184›Full record

ArticleChildren (Basel, Switzerland)2021

Results of COVID-19 Surveillance in a Large United States Pediatric Healthcare System over One Year.

Sarah E Messiah, Luyu Xie, Matthew S Mathew, George L Delclos, Harold W Kohl, Jeffrey S Kahn

Abstract read
In one paragraph

Article in Children (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
  4. Review
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Sarah E MessiahUniversity of Texas Health Science Center at Houston, School of Public Health, Dallas Campus, Dallas, TX 75390, USA.ORCID 0000-0001-6685-2175
Luyu XieUniversity of Texas Health Science Center at Houston, School of Public Health, Dallas Campus, Dallas, TX 75390, USA.ORCID 0000-0003-4499-0555
Matthew S MathewUniversity of Texas Health Science Center at Houston, School of Public Health, Dallas Campus, Dallas, TX 75390, USA.ORCID 0000-0002-7529-2832
George L DelclosUniversity of Texas Health Science Center at Houston, School of Public Health, Houston Campus, Houston, TX 77225, USA.ORCID 0000-0003-0201-8135
Harold W KohlUniversity of Texas Health Science Center at Houston, School of Public Health, Austin Campus, Austin, TX, USA.
Jeffrey S KahnDepartment of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe lack of SARS-CoV-2 antigen surveillance testing in the pediatric population has inhibited accurate infection and hospitalization prevalence estimates. We aim to report the estimated prevalence of and risk factors for COVID-19 infection, hospitalization, and intensive care unit (ICU) admission across the three United States (US) waves in one of the largest pediatric healthcare systems in the nation.

methodsRetrospective electronic health record (EHR) review of all COVID-19 surveillance data among children aged 0-19 years seeking healthcare at one pediatric healthcare system that serves predominantly Medicaid-dependent families from 1 March 2020 to 31 March 2021. COVID-19 infection status (Y/N), hospital admission (Y/N), and ICU admission (Y/N) are the main outcomes.

resultsOf 22,377 children aged ≤ 19 years tested for SARS-CoV-2 infection from March 2020-March 2021, 3126 were positive (14.0%), and out of those positive, 53.7% were hospitalized and 2.9% were admitted to the ICU. Compared to Wave 1 (1 March 2020-31 May 2020), the risk of a positive test increased from 16% (RR 1.16, 95% CI, 1.07-1.26) in Wave 2 (1 June 2020-31 October 2020) to 33% (RR 1.33, 95% CI, 1.23-1.44) in Wave 3 (1 November 2020-31 March 2021). Similarly, compared to Wave 1, the risk for hospitalization increased 86% (RR 1.86, 95% CI, 1.86-2.06) in Wave 2 and 89% in Wave 3 (RR 1.89, 95% CI, 1.70-2.08), and the risk for ICU admission increased from 10% in Wave 2 (RR 1.10, 95% CI, 0.39-3.01) to 310% in Wave 3 (RR 3.10, 95% CI, 1.21-7.80). Children with asthma, depressive disorders, type 1 or 2 diabetes, and anemia were more likely to be hospitalized while children with diabetes, obesity, cardiac malformations, and hypertension were more likely to be admitted to the ICU versus children without these conditions.

conclusionsChildren were cumulatively impacted by the COVID-19 pandemic through the three US waves with more than a third hospitalized in Wave 3. Children with underlying health conditions were particularly at risk for severe illness and should be monitored for any long-term impacts.

Indexed as

COVID-19health disparitiesrisk factorsSARS-CoV-2surveillance

Identifiers

PMID34572184
PMCPMC8468442

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.