Construction and validation of risk prediction models for renal replacement therapy in patients with acute pancreatitis

Developed via the LASSO regression cross-validation method, the Lasso-LR model significantly excels in predicting the requirement for RRT in patients with AP, demonstrating its potential for clinical application.

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Publication Details

Journal
European journal of medical research
Published
2025-02-04
DOI
https://doi.org/10.1186/s40001-025-02345-5
Citations
4
Primary Topic
Pancreatitis Pathology and Treatment
Type
article
Field-Weighted Citation Impact
8.03
Controls
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article

Construction and validation of risk prediction models for renal replacement therapy in patients with acute pancreatitis

Longping Yao, Fei Zuo, Jinyu Zhang, Jie Min et al.
4 citations
European journal of medical research
Pancreatitis Pathology and Treatment
8.03
article

Construction and validation of risk prediction models for renal replacement therapy in patients with acute pancreatitis

Longping Yao, Fei Zuo, Jinyu Zhang, Jie Min, Lei Zhong
article en
4 citations

Abstract

Developed via the LASSO regression cross-validation method, the Lasso-LR model significantly excels in predicting the requirement for RRT in patients with AP, demonstrating its potential for clinical application.

European journal of medical researchVol. 30(1)
Zhejiang Chinese Medical University (CN), Huzhou Normal University (CN), Huzhou Central Hospital (CN)
Good health and well-being
Openalex Percentile: Top 3%
Pancreatitis Pathology and Treatment
8.03
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