Exploring factors and models to predict post-dialysis volume overload status in maintenance hemodialysis patients based on pre-dialysis parameters
Pre-dialysis parameters, including prescribed UFV/weight ratio, OH, and dialysis US-B lines, were predictive factors for post-dialysis volume overload status. The Random Forest model based on these parameters could predict the post-dialysis volume overload status with relative accuracy and may provide a helpful guide to optimal prescribed UFV.
Authors
- Zheng Xiao-Yan
- Lan-Ting Huang
- Fu-yuan Hong
- Bao-chun Lai
- Zhi-hong Zhang
- Bing Xu
- Qi Yang
Publication Details
- Journal
- Clinical Nephrology
- Published
- 2025-12-22
- DOI
- https://doi.org/10.5414/cn111762
- Primary Topic
- Dialysis and Renal Disease Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00