Evidence map›Paper›PMID 38365873›Full record

ArticlePediatric research2024

Congenital anomalies and predisposition to severe COVID-19 among pediatric patients in the United States.

Laura F Goodman, Peter T Yu, Yigit Guner, Saeed Awan, Akhil Mohan, Kevin Ge, Mathew Chandy, Mario Sánchez, Louis Ehwerhemuepha

Open access · hybridAbstract read
In one paragraph

Article in Pediatric research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.3field-weighted citation impact, top 13% of its field
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, 4 citations in OpenAlex.

  1. Review
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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

9 authors at 5 institutions in 1 country.

Laura F GoodmanChildren's Hospital of Orange County, Orange, CA, USA. lgoodman@choc.org.
Peter T YuChildren's Hospital of Orange County, Orange, CA, USA.
Yigit GunerChildren's Hospital of Orange County, Orange, CA, USA.
Saeed AwanChildren's Hospital of Orange County, Orange, CA, USA.
Akhil MohanUniversity of Arizona, Tucson, AZ, USA.
Kevin GeEmory University, 201 Dowman Dr, Atlanta, GA, USA.
Mathew ChandyUniversity of Connecticut, Storrs, CT, USA.
Mario SánchezEmory University, 201 Dowman Dr, Atlanta, GA, USA.
Louis EhwerhemuephaChildren's Hospital of Orange County, Orange, CA, USA.
Children's Hospital of Orange County · USEmory University · USChapman University · USUniversity of Arizona · USUniversity of Connecticut · US

Funding

Irvine Summer Institute in Biostatistics and Data ScienceR25AI170491 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI Mine Dogucu, Daniel L Gillen · 2022 to 2026
$1.2M
NIAID NIH HHS R25 AI170491
6 · The paper itself

Abstract

BACKGROUND AND

objectiveCongenital heart defects are known to be associated with increased odds of severe COVID-19. Congenital anomalies affecting other body systems may also be associated with poor outcomes. This study is an exhaustive assessment of congenital anomalies and odds of severe COVID-19 in pediatric patients.

methodsData were retrieved from the COVID-19 dataset of Cerner® Real-World Data for encounters from March 2020 to February 2022. Prior to matching, the data consisted of 664,523 patients less than 18 years old and 927,805 corresponding encounters with COVID-19 from 117 health systems across the United States. One-to-one propensity score matching was performed, and a cumulative link mixed-effects model with random intercepts for health system and patients was built to assess corresponding associations.

resultsAll congenital anomalies were associated with worse COVID-19 outcomes, with the strongest association observed for cardiovascular anomalies (odds ratio [OR], 3.84; 95% CI, 3.63-4.06) and the weakest association observed for anomalies affecting the eye/ear/face/neck (OR, 1.16; 95% CI, 1.03-1.31). CONCLUSIONS AND RELEVANCE: Congenital anomalies are associated with greater odds of experiencing severe symptoms of COVID-19. In addition to congenital heart defects, all other birth defects may increase the odds for more severe COVID-19. IMPACT: All congenital anomalies are associated with increased odds of severe COVID-19. This study is the largest and among the first to investigate birth defects across all body systems. The multicenter large data and analysis demonstrate the increased odds of severe COVID19 in pediatric patients with congenital anomalies affecting any body system. These data demonstrate that all children with birth defects are at increased odds of more severe COVID-19, not only those with heart defects. This should be taken into consideration when optimizing prevention and intervention resources within a hospital.

Indexed as

Congenital AbnormalitiesCOVID-19SARS-CoV-2AdolescentChildChild, PreschoolFemaleHeart Defects, CongenitalHumansInfantInfant, NewbornMaleOdds RatioPropensity ScoreRisk FactorsSeverity of Illness Index

Identifiers

PMID38365873
PMCPMC11499254
OpenAlexW4391885096

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.