Incidence and pathophysiology of gastrointestinal bleeding during mechanical circulatory support: A retrospective analysis using machine learning algorithms
Insulin-dependent diabetes was associated with increased risk for GI bleeding during MCS, and these patients more often required major transfusions. Further evaluation of continuous anticoagulation therapy is warranted. Knowledge derived from this analytical study may guide the development of institutional protocols to improve care in this patient population.
Authors
- Shaun Yockelson (ORCID: https://orcid.org/0000-0002-4828-6437)
- Cezary Rudnicki (ORCID: https://orcid.org/0000-0003-2835-847X)
- Bobby D. Nossaman (ORCID: https://orcid.org/0000-0002-6676-5351)
- Juan C. Duque (ORCID: https://orcid.org/0000-0001-7419-7342)
- Dean Linder
- Kristie L. Gore
- Junxi Wang (ORCID: https://orcid.org/0000-0003-4964-4440)
Institutions
- Ochsner Health System (US)
- The University of Queensland (AU)
- Cole Engineering Services (United States) (US)
- Perfusion Solution (United States) (US)
Publication Details
- Journal
- Journal of ExtraCorporeal Technology
- Published
- 2025-10-15
- DOI
- https://doi.org/10.1051/ject/2025061
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00