Analysis of the correlation between the group-based trajectory modeling of serum osmolality and prognosis in patients with sepsis-associated encephalopathy at 72 h after admission

Identifying distinct serum osmolality trajectories may help recognize SAE patient subgroups with varying risks of adverse outcomes, providing clinically meaningful stratification.

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Publication Details

Journal
BMC Infectious Diseases
Published
2025-01-23
DOI
https://doi.org/10.1186/s12879-025-10482-9
Citations
6
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
8.13
Controls
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article

Analysis of the correlation between the group-based trajectory modeling of serum osmolality and prognosis in patients with sepsis-associated encephalopathy at 72 h after admission

Yongpeng Xie, Wentao Wu, Chen Wang, Xiaomin Li et al.
6 citations
BMC Infectious Diseases
Sepsis Diagnosis and Treatment
8.13
article

Analysis of the correlation between the group-based trajectory modeling of serum osmolality and prognosis in patients with sepsis-associated encephalopathy at 72 h after admission

Yongpeng Xie, Wentao Wu, Chen Wang, Xiaomin Li, Yuhua Zhang
article en
6 citations

Abstract

Identifying distinct serum osmolality trajectories may help recognize SAE patient subgroups with varying risks of adverse outcomes, providing clinically meaningful stratification.

BMC Infectious DiseasesVol. 25(1)
Lianyungang Oriental Hospital (CN), The First People’s Hospital of Lianyungang (CN), Nanjing Medical University (CN)
Good health and well-being
Openalex Percentile: Top 3%
Sepsis Diagnosis and Treatment
8.13
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