Development of a nomogram to predict in-ICU mortality of elderly patients with sepsis-associated liver injury: an analysis of the MIMIC-IV database

A prediction model of in-ICU mortality in SALI elderly patients was established by screening variables through lasso regression. Nomgram was the best predictor of in-ICU mortality in SALI patients, which has a high reference value and clinical application.

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Publication Details

Journal
Frontiers in Medicine
Published
2025-03-26
DOI
https://doi.org/10.3389/fmed.2025.1516853
Citations
4
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
5.42

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article

Development of a nomogram to predict in-ICU mortality of elderly patients with sepsis-associated liver injury: an analysis of the MIMIC-IV database

Xiaocong Jiang, Susu Cao, Xuemei Hu, Ai Xia et al.
4 citations
Frontiers in Medicine
Sepsis Diagnosis and Treatment
5.42
article

Development of a nomogram to predict in-ICU mortality of elderly patients with sepsis-associated liver injury: an analysis of the MIMIC-IV database

Xiaocong Jiang, Susu Cao, Xuemei Hu, Ai Xia, Min Yang, Jianbao Wang, Tianfeng Hua
article en
4 citations

Abstract

A prediction model of in-ICU mortality in SALI elderly patients was established by screening variables through lasso regression. Nomgram was the best predictor of in-ICU mortality in SALI patients, which has a high reference value and clinical application.

Frontiers in MedicineVol. 12
Anhui Medical University (CN), Second Affiliated Hospital of Anhui Medical University (CN)
Natural Science Foundation of Anhui Province
Peace, Justice and strong institutions
Openalex Percentile: Top 5%
Sepsis Diagnosis and Treatment
5.42
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