Development and validation of a prediction model for in-hospital mortality in patients with intra-abdominal sepsis: a dual-database study using MIMIC-IV and eICU databases

A robust predictive model was developed to estimate the risk of in-hospital mortality in patients with IAS. This tool may assist clinicians in enhancing patient management and decision-making.

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Publication Details

Journal
BMJ Open
Published
2025-10-01
DOI
https://doi.org/10.1136/bmjopen-2025-102971
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

Development and validation of a prediction model for in-hospital mortality in patients with intra-abdominal sepsis: a dual-database study using MIMIC-IV and eICU databases

JinRong Wang, Yuhong Chen, Congcong Zhao, Zhenjie Hu et al.
BMJ Open
Sepsis Diagnosis and Treatment
article

Development and validation of a prediction model for in-hospital mortality in patients with intra-abdominal sepsis: a dual-database study using MIMIC-IV and eICU databases

JinRong Wang, Yuhong Chen, Congcong Zhao, Zhenjie Hu, Jianjun Zhang
article en

Abstract

A robust predictive model was developed to estimate the risk of in-hospital mortality in patients with IAS. This tool may assist clinicians in enhancing patient management and decision-making.

BMJ OpenVol. 15(10)
Hebei Medical University (CN), Hengshui University (CN), Fourth Hospital of Hebei Medical University (CN)
Hebei Medical University
Openalex Percentile: Top 59%
Sepsis Diagnosis and Treatment
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