Prediction for Perioperative Stroke Using Intraoperative Parameters
We suggest that incorporating intraoperative factors into perioperative stroke prediction models can improve their accuracy.
Authors
- Hyung‐Chul Lee (ORCID: https://orcid.org/0000-0003-0048-7958)
- Young Mi Jung (ORCID: https://orcid.org/0000-0001-7877-4450)
- Seung Mi Lee (ORCID: https://orcid.org/0000-0002-2543-0408)
- Wonpyo Kim (ORCID: https://orcid.org/0000-0002-3688-3824)
- Mi‐Young Oh (ORCID: https://orcid.org/0000-0001-6246-6736)
- Sang‐Bae Ko (ORCID: https://orcid.org/0000-0002-9429-9597)
- Tae Kyong Kim (ORCID: https://orcid.org/0000-0002-0335-2971)
- Jaehyun Lim (ORCID: https://orcid.org/0009-0000-3767-1973)
Institutions
- Seoul National University (KR)
- Korea University Medical Center (KR)
- Seoul Metropolitan Government (KR)
- Seoul National University Hospital (KR)
- SNUH SMG-SNU Boramae Medical Center (KR)
- Sejong General Hospital (KR)
Publication Details
- Journal
- Journal of the American Heart Association
- Published
- 2024-08-09
- DOI
- https://doi.org/10.1161/jaha.123.032216
- Citations
- 2
- Primary Topic
- Cardiac, Anesthesia and Surgical Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.80