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Published in: BMC Infectious Diseases 1/2024

Open Access 01-12-2024 | Encephalitis | Research

Predictors of mortality and poor outcome for patients with severe infectious encephalitis in the intensive care unit: a cross-sectional study

Authors: WenYan Zhao, YuLiang Zhou, YingYing Hu, WenJing Luo, Jing Wang, Hong Zhu, ZhiPeng Xu

Published in: BMC Infectious Diseases | Issue 1/2024

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Abstract

Background

There are few thorough studies assessing predictors of severe encephalitis, despite the poor prognosis and high mortality associated with severe encephalitis. The study aims to evaluate the clinical predictors of mortality and poor outcomes at hospital discharge in patients with severe infectious encephalitis in intensive care units.

Method

In two Chinese hospitals, a retrospective cohort study comprising 209 patients in intensive care units suffering from severe infectious encephalitis was carried out. Univariate and multivariate logistic regression analyses were used to identify the factors predicting mortality in all patients and poor outcomes in all survivors with severe infectious encephalitis.

Results

In our cohort of 209 patients with severe encephalitis, 22 patients died, yielding a mortality rate of 10.5%. Cerebrospinal fluid pressure ≥ 400mmH2O (OR = 7.43), abnormal imaging (OR = 3.51), abnormal electroencephalogram (OR = 7.14), and number of rescues (OR = 1.12) were significantly associated with an increased risk of mortality in severe infectious encephalitis patients. Among the 187 survivors, 122 (65.2%) had favorable outcomes, defined as the modified Rankine Scale (mRS) score (0 ~ 3), and 65(34.8%) had poor outcomes (mRS scores 4 ~ 5). Age (OR = 1.02), number of rescues (OR = 1.43), and tubercular infection (OR = 10.77) were independent factors associated with poor outcomes at discharge in all survivors with severe infectious encephalitis.

Conclusions

Multiple clinical, radiologic, and electrophysiological variables are independent predictive indicators for mortality and poor outcomes in patients with severe encephalitis in intensive care units. Identifying these outcome predictors early in patients with severe encephalitis may enable the implementation of appropriate medical treatment and help reduce mortality rates.
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Metadata
Title
Predictors of mortality and poor outcome for patients with severe infectious encephalitis in the intensive care unit: a cross-sectional study
Authors
WenYan Zhao
YuLiang Zhou
YingYing Hu
WenJing Luo
Jing Wang
Hong Zhu
ZhiPeng Xu
Publication date
01-12-2024
Publisher
BioMed Central
Published in
BMC Infectious Diseases / Issue 1/2024
Electronic ISSN: 1471-2334
DOI
https://doi.org/10.1186/s12879-024-09312-1

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