Utilizing Machine Learning to Identify Predictors of Corticosteroid Discontinuation 1‐Year After Adult Heart Transplant
In a large national database, utilizing novel ML modeling techniques, we identified annual transplant center volume, donor ischemia time, and LVAD use at the time of HT as the best predictors of CS discontinuation 1 year after HT.
Authors
- Abhishek Jaiswal (ORCID: https://orcid.org/0000-0001-9104-1980)
- David A. Baran (ORCID: https://orcid.org/0000-0002-7754-9953)
- Zeina Jedeon
- Caroline Chen (ORCID: https://orcid.org/0009-0002-9471-0822)
- Katrina Etts
- William L. Baker (ORCID: https://orcid.org/0000-0003-2172-0931)
Institutions
- Hartford Hospital (US)
- University of Connecticut (US)
- Cleveland Clinic Florida (US)
- Quinnipiac University (US)
Publication Details
- Journal
- Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy
- Published
- 2025-11-11
- DOI
- https://doi.org/10.1002/phar.70073
- Citations
- 1
- Primary Topic
- Transplantation: Methods and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 2.01