Article

Identification of Sepsis-Associated Encephalopathy Biomarkers Through Machine Learning and Bioinformatics Approaches

2024-05-09

Abstract excerpt

<title>Abstract</title> <p><bold>Background</bold> Sepsis-associated encephalopathy (SAE) is prevalent in septic patients and presents as a combination of extracranial infection and clinical manifestations of neurological dysfunction. Typical symptoms of the disease include acute cognitive impairment and long-term cognitive decline. It is associated with increased mortality in sepsis. The aim of this study was to...

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Literature Corpus work: 6f6c7260-4a28-53f9-b84b-63c225048e2d
DOI: 10.21203/rs.3.rs-4319354/v1

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