Evidence map›Paper›PMID 41810184›Full record

ArticleTranslational pediatrics2026

Diagnostic yield of exome and genome sequencing for critically ill pediatric cardiac patients.

Angela C Onorato, Rachel Gosselin, Bimal P Chaudhari, Chance Alvarado, Peter White, Vidu Garg, Amee M Bigelow

Abstract read
In one paragraph

Article in Translational pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Angela C OnoratoThe Heart Center, Nationwide Children's Hospital, Columbus, OH, USA.ORCID https://orcid.org/0009-0008-1057-2228
Rachel GosselinDivision of Genetic and Genomic Medicine, Nationwide Children's Hospital, Columbus OH, USA.ORCID https://orcid.org/0000-0002-4811-7916
Bimal P ChaudhariDepartment of Pediatrics, The Ohio State University, Columbus, OH, USA.ORCID https://orcid.org/0000-0002-0115-949X
Chance AlvaradoThe Heart Center, Nationwide Children's Hospital, Columbus, OH, USA.ORCID https://orcid.org/0000-0001-7266-6344
Peter WhiteThe Steve and Cindy Rasmussen Institute for Genomic Medicine, The Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, OH, USA.ORCID https://orcid.org/0000-0002-5218-5903
Vidu GargThe Heart Center, Nationwide Children's Hospital, Columbus, OH, USA.ORCID https://orcid.org/0000-0002-3778-5927
Amee M BigelowThe Heart Center, Nationwide Children's Hospital, Columbus, OH, USA.ORCID https://orcid.org/0000-0003-1606-9144

Funding

The OSU Center for Clinical and Translational Science: Advancing Today's Discoveries to Improve HealthUM1TR004548 · NCATS · OHIO STATE UNIVERSITY · PI CYNTHIA A GERHARDT, JULIE A. JOHNSON · 2023 to 2026
$22.0M
A Multi-omic approach towards improving candidate gene identification and variant prioritization in patients with congenital heart diseaseR21HL161823 · NHLBI · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · PI GARG, VIDU, WHITE, PETER · 2022 to 2023
$231k
NCATS NIH HHS UM1 TR004548NHLBI NIH HHS R21 HL161823
6 · The paper itself

Abstract

Background: Genetic testing guidelines for children in cardiac intensive care units (CICUs) remain limited despite a high prevalence of genetic diseases among this population. Advances in next-generation sequencing technologies, especially exome sequencing (ES) and genome sequencing (GS), enable more comprehensive genetic evaluations than traditional testing modalities such as chromosomal microarray (CMA). While testing recommendations exist for cardiomyopathies and arrhythmias, broad application of next-generation sequencing, especially ES/GS, across indications for admission to CICU has not been recommended amongst cardiology societies. We aimed to evaluate the diagnostic efficacy of ES/GS in critically ill pediatric patients with cardiac disease. Methods: Retrospective chart review of patients who underwent clinical ES/GS in a quaternary hospital's pediatric CICU between January 2020 and August 2023. Patient demographics and clinical characteristics were collected and analyzed. Results were compared by test type, cardiac phenotype, and extracardiac anomalies status. Results: Forty-five patients underwent clinical ES/GS, with median age at testing of 33 [7-905] days. Primary cardiac phenotypes included congenital heart disease (CHD), ventricular dysfunction, and arrhythmia. Diagnostic results were found in 20 patients (44.4%) with 18/20 (90%) linked to cardiac phenotypes. Diagnostic yield was not different among cardiac phenotype groups but was higher in patients with extracardiac anomalies. Notably, gene panels would have failed to make 36% of diagnoses made by ES/GS. Conclusions: ES and GS provided high diagnostic yield in critically ill cardiac patients across various phenotypes. As next-generation sequencing technologies and interpretation capabilities mature, diagnostic abilities in pediatric cardiac disease will continue to advance.

Indexed as

cardiac intensive care unit (CICU)Congenital heart defectsexome sequencing (ES)genome sequencing (GS)

Identifiers

PMID41810184
PMCPMC12969235

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Registered trials

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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.