• Australian Genomics Health Alliance Acute Care Flagship, Sebastian Lunke, Stefanie Eggers, Meredith Wilson, Chirag Patel, Christopher P Barnett, Jason Pinner, Sarah A Sandaradura, Michael F Buckley, Emma I Krzesinski, Michelle G de Silva, Gemma R Brett, Kirsten Boggs, David Mowat, Edwin P Kirk, Lesley C Adès, Lauren S Akesson, David J Amor, Samantha Ayres, Anne Baxendale, Sarah Borrie, Alessandra Bray, Natasha J Brown, Cheng Yee Chan, Belinda Chong, Corrina Cliffe, Martin B Delatycki, Matthew Edwards, George Elakis, Michael C Fahey, Andrew Fennell, Lindsay Fowles, Lyndon Gallacher, Megan Higgins, Katherine B Howell, Lauren Hunt, Matthew F Hunter, Kristi J Jones, Sarah King, Smitha Kumble, Sarah Lang, Maelle Le Moing, Alan Ma, Dean Phelan, Michael C J Quinn, Anna Richards, Christopher M Richmond, Jessica Riseley, Jonathan Rodgers, Rani Sachdev, Simon Sadedin, Luregn J Schlapbach, Janine Smith, Amanda Springer, Natalie B Tan, Tiong Y Tan, Suzanna L Temple, Christiane Theda, Anand Vasudevan, Susan M White, Alison Yeung, Ying Zhu, Melissa Martyn, Stephanie Best, Tony Roscioli, John Christodoulou, and Zornitza Stark.
• Australian Genomics Health Alliance, Parkville, Australia.
• JAMA. 2020 Jun 23; 323 (24): 250325112503-2511.

ImportanceWidespread adoption of rapid genomic testing in pediatric critical care requires robust clinical and laboratory pathways that provide equitable and consistent service across health care systems.ObjectiveTo prospectively evaluate the performance of a multicenter network for ultra-rapid genomic diagnosis in a public health care system.Design, Setting, And ParticipantsDescriptive feasibility study of critically ill pediatric patients with suspected monogenic conditions treated at 12 Australian hospitals between March 2018 and February 2019, with data collected to May 2019. A formal implementation strategy emphasizing communication and feedback, standardized processes, coordination, distributed leadership, and collective learning was used to facilitate adoption.ExposuresUltra-rapid exome sequencing.Main Outcomes And MeasuresThe primary outcome was time from sample receipt to ultra-rapid exome sequencing report. The secondary outcomes were the molecular diagnostic yield, the change in clinical management after the ultra-rapid exome sequencing report, the time from hospital admission to the laboratory report, and the proportion of laboratory reports returned prior to death or hospital discharge.ResultsThe study population included 108 patients with a median age of 28 days (range, 0 days to 17 years); 34% were female; and 57% were from neonatal intensive care units, 33% were from pediatric intensive care units, and 9% were from other hospital wards. The mean time from sample receipt to ultra-rapid exome sequencing report was 3.3 days (95% CI, 3.2-3.5 days) and the median time was 3 days (range, 2-7 days). The mean time from hospital admission to ultra-rapid exome sequencing report was 17.5 days (95% CI, 14.6-21.1 days) and 93 reports (86%) were issued prior to death or hospital discharge. A molecular diagnosis was established in 55 patients (51%). Eleven diagnoses (20%) resulted from using the following approaches to augment standard exome sequencing analysis: mitochondrial genome sequencing analysis, exome sequencing-based copy number analysis, use of international databases to identify novel gene-disease associations, and additional phenotyping and RNA analysis. In 42 of 55 patients (76%) with a molecular diagnosis and 6 of 53 patients (11%) without a molecular diagnosis, the ultra-rapid exome sequencing result was considered as having influenced clinical management. Targeted treatments were initiated in 12 patients (11%), treatment was redirected toward palliative care in 14 patients (13%), and surveillance for specific complications was initiated in 19 patients (18%).Conclusions And RelevanceThis study suggests feasibility of ultra-rapid genomic testing in critically ill pediatric patients with suspected monogenic conditions in the Australian public health care system. However, further research is needed to understand the clinical value of such testing, and the generalizability of the findings to other health care settings.

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