Development of a predictive model for severe hyperlipidemic acute pancreatitis based on LASSO regression: a retrospective study

The risk factors of severe HLAP include D-dimer elevation, calcium depletion and cholesterol elevation. The predictive model established by logistic regression has good performance, which is helpful for early identification and intervention by clinicians.

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Publication Details

Journal
PeerJ
Published
2025-12-05
DOI
https://doi.org/10.7717/peerj.20471
Primary Topic
Pancreatitis Pathology and Treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

Development of a predictive model for severe hyperlipidemic acute pancreatitis based on LASSO regression: a retrospective study

Zhenxing Li, Xiaorong Dai, Rong Han, Qingyu Zhang et al.
PeerJ
Pancreatitis Pathology and Treatment
article

Development of a predictive model for severe hyperlipidemic acute pancreatitis based on LASSO regression: a retrospective study

Zhenxing Li, Xiaorong Dai, Rong Han, Qingyu Zhang, Gao Yu, Kunfeng Yan
article en

Abstract

The risk factors of severe HLAP include D-dimer elevation, calcium depletion and cholesterol elevation. The predictive model established by logistic regression has good performance, which is helpful for early identification and intervention by clinicians.

PeerJVol. 13
Nantong University (CN), Jiangsu Vocational College of Medicine (CN), Taixing People's Hospital (CN), The Affiliated Taizhou People's Hospital of Nanjing Medical University (CN)
Nanjing Medical University
Openalex Percentile: Top 41%
Pancreatitis Pathology and Treatment
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