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Sepsis-Associated Encephalopathy

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Identification of sepsis-associated encephalopathy biomarkers through machine learning and bioinformatics approaches.

Scientific reports 39738412
Sepsis-associated encephalopathy (SAE) is common in septic patients, characterized by acute and long-term cognitive impairment, and is associated with higher mortality. This study aimed to identify SAE-related biomarkers and evaluate their diagnostic...
Biomarkers Computational Biology Gene Regulatory Networks Humans Machine Learning Sepsis Sepsis-Associated Encephalopathy
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Early prediction of sepsis associated encephalopathy in elderly ICU patients using machine learning models: a retrospective study based on the MIMIC-IV database.

Frontiers in cellular and infection microbiology 40313459
BACKGROUND: Sepsis associated encephalopathy (SAE) is prevalent among elderly patients in the ICU and significantly affects patient prognosis. Due to the symptom similarity with other neurological disorders and the absence of specific biomarkers, ear...
Aged Aged, 80 and over Algorithms Databases, Factual Early Diagnosis Female Humans Intensive Care Units Machine Learning Male Prognosis Retrospective Studies Sepsis Sepsis-Associated Encephalopathy
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