Cargando…
A Prediction Model for Acute Kidney Injury in Adult Patients With Minimal Change Disease
BACKGROUND: Early prediction of acute kidney injury (AKI) can allow for timely interventions, but there are still few methods that are easy and convenient to apply in predicting AKI, specially targeted at patients with minimal change disease (MCD). Motivated by this, we aimed to develop a predicting...
Autores principales: | Yang, Chen, Lin, Shu-Peng, Chen, Pu, Wu, Jie, Meng, Jin-Ling, Liang, Shuang, Zhu, Feng-Ge, Wang, Yong, Feng, Zhe, Chen, Xiang-Mei, Cai, Guang-Yan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9170996/ https://www.ncbi.nlm.nih.gov/pubmed/35685412 http://dx.doi.org/10.3389/fmed.2022.862160 |
Ejemplares similares
-
Clinical features of acute kidney injury in patients with nephrotic syndrome and minimal change disease: a retrospective, cross-sectional study
por: Lin, Shu-Peng, et al.
Publicado: (2021) -
Chinese observational prospective study of ageing population with chronic kidney disease (C-OPTION): a study protocol
por: Liang, Shuang, et al.
Publicado: (2018) -
Impact of acute kidney injury on coagulation in adult minimal change nephropathy
por: Huang, Meng-Jie, et al.
Publicado: (2016) -
Machine learning for acute kidney injury: Changing the traditional disease prediction mode
por: Yu, Xiang, et al.
Publicado: (2023) -
The characteristics and risk factors for cisplatin-induced acute kidney injury in the elderly
por: Liu, Jie-qiong, et al.
Publicado: (2018)