Predicting operative mortality in patients who undergo elective open thoracoabdominal aortic aneurysm repair
Using institutional data, we evaluated several models to predict operative mortality in elective TAAA repair, using information available to surgeons preoperatively. We then converted the best predictive model, the MLR model, into an intuitive nomogram to aid patient counseling.
Authors
- Scott A. LeMaire (ORCID: https://orcid.org/0000-0002-8736-4266)
- Kyle W Blackburn (ORCID: https://orcid.org/0000-0002-1384-884X)
- Joseph Stapleton Coselli (ORCID: https://orcid.org/0000-0003-2176-5988)
- Brittany Rhoades (ORCID: https://orcid.org/0000-0001-9298-274X)
- Adel M. Hassan (ORCID: https://orcid.org/0000-0001-6643-2461)
- Susan Y. Green
- Marc R. Moon (ORCID: https://orcid.org/0000-0002-4473-6867)
- Subhasis Chatterjee (ORCID: https://orcid.org/0000-0002-0803-8826)
- Scott A. Weldon (ORCID: https://orcid.org/0009-0000-7745-2695)
- Allen Kuncheria (ORCID: https://orcid.org/0000-0001-9423-6695)
- Meng Li (ORCID: https://orcid.org/0000-0002-7423-0090)
Institutions
- Baylor College of Medicine (US)
- Cardiovascular Institute Hospital (JP)
- St. Luke's Hospital (US)
- Geisinger Neuroscience Institute (US)
- Rice University (US)
Publication Details
- Journal
- JTCVS Open
- Published
- 2024-09-10
- DOI
- https://doi.org/10.1016/j.xjon.2024.09.002
- Citations
- 5
- Primary Topic
- Cardiac, Anesthesia and Surgical Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 2.01
Funders
- Texas Heart Institute