Establishment and Validation of a Risk Prediction Model for Sepsis-Associated Liver Injury in ICU Patients: A Retrospective Cohort Study

This novel nomogram effectively predicts SALI risk in sepsis patients by integrating readily available clinical parameters. While external validation is needed, the model shows promise as a practical tool for early risk stratification, potentially enabling timely interventions in high-risk patients.

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Publication Details

Journal
Infection and Drug Resistance
Published
2024-12-31
DOI
https://doi.org/10.2147/idr.s489196
Citations
2
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.77

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article

Establishment and Validation of a Risk Prediction Model for Sepsis-Associated Liver Injury in ICU Patients: A Retrospective Cohort Study

Shiyang Pan, Yuzhang Jiang, Jinling Ji, Chang Li et al.
2 citations
Infection and Drug Resistance
Sepsis Diagnosis and Treatment
0.77
article

Establishment and Validation of a Risk Prediction Model for Sepsis-Associated Liver Injury in ICU Patients: A Retrospective Cohort Study

Shiyang Pan, Yuzhang Jiang, Jinling Ji, Chang Li, Kai Wang, Kun Jiang, Ting Shi
article en
2 citations

Abstract

This novel nomogram effectively predicts SALI risk in sepsis patients by integrating readily available clinical parameters. While external validation is needed, the model shows promise as a practical tool for early risk stratification, potentially enabling timely interventions in high-risk patients.

Infection and Drug ResistanceVol. Volume 18
Huaian First People’s Hospital (CN), Nanjing Medical University (CN)
Nanjing Medical University
Good health and well-being
Openalex Percentile: Top 23%
Sepsis Diagnosis and Treatment
0.77
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