| Issue |
J Extra Corpor Technol
Volume 58, Number 2, June 2026
|
|
|---|---|---|
| Page(s) | 139 - 145 | |
| DOI | https://doi.org/10.1051/ject/2025056 | |
| Published online | 19 June 2026 | |
Original Article
Comparative decision-making analysis of extracorporeal membrane oxygenation candidacy based on a survey of pediatric critical care fellow and attending physicians☆
1
Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
2
Division of Pediatric Critical Care and Hospital Medicine, Department of Pediatrics, Columbia University Irving Medical Center and Morgan Stanley Children’s Hospital, New York, NY, USA
3
Division of Critical Care Medicine, Department of Anesthesiology and Critical Care Medicine, Perelman School of Medicine at the University of Pennsylvania, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
4
Department of Pediatrics, The Justin Michael Ingerman Center for Pediatric Palliative Care, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
5
ECMO Center, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
29
July
2025
Accepted:
12
October
2025
Abstract
Background: Extracorporeal membrane oxygenation (ECMO) candidacy decisions for children with respiratory failure can be variable among pediatric critical care attending physicians, and prior studies showed that baseline functional status and underlying neurological conditions influence this decision. However, there are limited data regarding factors influencing pediatric critical care fellows’ ECMO candidacy decisions and their alignment with attending physicians. This study aimed to identify patient characteristics influencing fellows’ ECMO candidacy decisions and measure concordance with attending decisions. Methods: This study was a planned secondary analysis of a prospective, single-center, cross-sectional study at a quaternary pediatric ECMO referral center. Pediatric critical care fellows and attending physicians caring for children admitted with acute respiratory failure were surveyed within 72 h of initiation or escalation of respiratory support. The primary exposure was patient functional status at admission, measured by the functional status score (FSS), and was categorized as Normal/Mild Dysfunction (FSS 6–9) or Moderate/Severe Dysfunction (FSS >10). Multivariate logistic regression clustered by fellow evaluated factors influencing ECMO candidacy assessments. Cohen’s kappa measured concordance between fellow and attending decisions. Results: Eighty surveys were completed by 21 pediatric critical care fellows. Fellows identified 19% of patients as ECMO non-candidates. After adjustment for age, moderate/severe admission dysfunction significantly reduced the odds of ECMO candidacy (aOR 0.11, 95% CI 0.03–0.51, p = 0.005). Overall, concordance between fellows and attendings was moderate (κ = 0.56), with junior fellows having minimal agreement (κ = −0.12). Fellows focused primarily on baseline functional status and comorbidities, while attendings considered additional factors, including long-term prognosis, organ failure irreversibility, and ECMO-related risks in candidacy assessments. Conclusion: Admission functional status influences pediatric critical care fellows’ ECMO candidacy decisions, with moderate concordance observed between fellows and attending physicians. The identified discrepancies emphasize the importance of structured education and targeted mentorship programs to enhance consistency in ECMO candidacy assessments, especially among junior trainees.
Key words: Extracorporeal membrane oxygenation / Critical care / Decision making / Pediatric intensive care units / Education, medical, graduate
This work was presented at the Society of Critical Care Medicine’s 2025 Critical Care Congress, February 23-25, 2025, in Orlando, Florida.
© The Author(s), published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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