Implementation of First‐Line Rapid Genome Sequencing for Children in Pediatric and Cardiac Intensive Care Units
Year: 2026
Type: article
Study design: Observational Study
Abstract: Substantial data supports the use of rapid exome and genome sequencing (rES/rGS) in Neonatal Intensive Care Units (NICU), but fewer studies have examined the impact of rES/rGS in other pediatric critical care units. We evaluated the impact on diagnostic yield and time to diagnosis following a single-center hospital policy change allowing broader, first-line rES/rGS for children in Cardiac and Pediatric Intensive Care Units (CICU, PICU). We conducted retrospective chart review from 1/1/2021-9/15/2024 for children in the CICU and PICU for whom genetic consultation was requested prior to (n = 64) and after (n = 211) the policy change. Exome and genome sequencing (ES/GS), both rapid and non-rapid, was completed in 174 patients, with 146 completing rES/rGS. Overall ES/GS diagnostic yield was 36.5% in the CICU and 31.2% in the PICU. Post-policy change, there were more requested genetics consults, an increase in rES/rGS completed (CICU: 4.8% vs. 56.0%; PICU: 13.6% vs. 88.5%), an increase in diagnoses/year (CICU: 6.0 vs. 14.3; PICU: 6.0 vs. 7.6), and decreased time to diagnosis (CICU: 23 vs. 12 days; PICU: 33 vs. 16 days). We show that changing hospital policy to allow for first-line rES/rGS in the CICU/PICU led to more consults, a higher percentage of patients receiving rES/rGS, a 2.4-fold increase in genetic diagnoses in the CICU, and decreased time to diagnosis in both units.
DOI: 10.1002/ajmg.a.70088
Authors: Alexandra C. Keefe, Abbey A. Scott, Lukas Kruidenier, Jessie Conta, Darci L. Sternen, Sarah V. Clowes Candadai, Shannon M. Stasi, Julia Parish‐Morris, Megan Sikes, Margaret P. Adam, Anita E. Beck, Jennifer C. Hayek, Ian Glass, James T. Bennett, Ghayda Mirzaa, Paul Kruszka, Britt Johnson, Kirsty McWalter, Deborah Copenheaver, Bethany Friedman, Michael Bamshad, Katrina M. Dipple, Tara L. Wenger
Language: English
Topic: Genomics and Rare Diseases
Subfield: Genetics
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $4,710
OpenAlex ID: W7129015605
