A model for predicting AKI after cardiopulmonary bypass surgery in Chinese patients with normal preoperative renal function
The predictive model, which was established in Chinese patients with normal preoperative renal function, has high accuracy, calibration, and clinical utility. Clinicians can utilize this model to predict and potentially reduce the incidence of AKI after CPB surgery in the Chinese population.
Authors
- Dahui Wang (ORCID: https://orcid.org/0000-0001-6435-5132)
- Liting Kuang
- Li Xiao (ORCID: https://orcid.org/0000-0002-2844-1292)
- Xuan Lin (ORCID: https://orcid.org/0000-0002-4352-4416)
- Weibin Lin
- Kang-Qing Xu (ORCID: https://orcid.org/0000-0001-7649-8819)
Institutions
- Sun Yat-sen University (CN)
- The First Affiliated Hospital, Sun Yat-sen University (CN)
Publication Details
- Journal
- BMC Surgery
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1186/s12893-024-02683-x
- Citations
- 3
- Primary Topic
- Cardiac, Anesthesia and Surgical Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 1.21
Funders
- National Science Foundation
- National Natural Science Foundation of China