Development and validation of a predictive model for acute kidney injury in patients with ureterolithiasis
The predictive model developed in this study provides clinicians with a valuable tool for early identification and management of patients at high risk for AKI, thereby potentially enhancing patient outcomes.
Authors
- Jingcheng Zhang (ORCID: https://orcid.org/0000-0001-5865-5761)
- Yufeng Jiang (ORCID: https://orcid.org/0000-0003-4553-4834)
- Ailiyaer Ainiwaer
- Liuliu Zhou
- Yan Yang (ORCID: https://orcid.org/0000-0001-7167-0261)
- Yuchao Liu (ORCID: https://orcid.org/0000-0003-1809-0668)
- Haimin Zhang
- Jing Li (ORCID: https://orcid.org/0000-0001-8375-7890)
Institutions
- Tongji University (CN)
- Shanghai Tenth People's Hospital (CN)
Publication Details
- Journal
- Renal Failure
- Published
- 2024-08-23
- DOI
- https://doi.org/10.1080/0886022x.2024.2394634
- Citations
- 4
- Primary Topic
- Kidney Stones and Urolithiasis Treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.68
Funders
- Science and Technology Commission of Shanghai Municipality