Machine learning−derived multivariable predictors of postcardiotomy cardiogenic shock in high-risk cardiac surgery patients
In patients with severe LV dysfunction undergoing cardiac surgery, risk of PCCS is elevated by preoperative failure of other organ systems and complexity of the planned operation that prolongs myocardial ischemia and cardiopulmonary bypass. This risk calculator could serve as an important tool to preoperatively identify patients in need of advanced levels of support.
Authors
- Elise Jortberg (ORCID: https://orcid.org/0000-0002-5348-6812)
- Edward G. Soltesz
- Randi J. Parks (ORCID: https://orcid.org/0000-0002-6829-4231)
- Eugene H. Blackstone
Institutions
- Cleveland Clinic (US)
Publication Details
- Journal
- JTCVS Open
- Published
- 2024-10-09
- DOI
- https://doi.org/10.1016/j.xjon.2024.10.002
- Citations
- 5
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.60
Funders
- Abiomed