Article

Predictive performance of mortality risk models in sepsis-associated encephalopathy: a systematic review and meta-analysis

2025-10-20

Abstract excerpt

<title>Abstract</title> <p>Background Sepsis-associated encephalopathy (SAE) is a common central nervous system complication in patients with sepsis and is associated with a significant increase in in-hospital and long-term mortality. In recent years, a variety of mortality risk prediction models based on traditional statistics and machine learning have been proposed to identify high-risk patients. However, the p...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: e7605cdd-5490-51f0-a73e-d04fcb8b9815
DOI: 10.21203/rs.3.rs-7856538/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Predictive performance of mortality risk models in sepsis-associated encephalopathy: a systematic review and meta-analysisDOI 10.21203/rs.3.rs-7856538/v1Read

Identification of Sepsis-Associated Encephalopathy Biomarkers Through Machine Learning and Bioinformatics ApproachesSemantic proximity Read

Revolutionizing Sepsis Diagnosis Using Machine Learning and Deep Learning Models: A Systematic Literature ReviewSemantic proximity Read

Prognostic Nutritional Index as a novel biomarker for predicting prognosis in sepsis-associated encephalopathy: A multicenter retrospective cohort studySemantic proximity Read

Comparison of the Prognostic Accuracy of Sepsis Scoring Systems: A Prospective Study in Patients with Suspected Infection in the Emergency DepartmentSemantic proximity Read

A study of risk analysis and prognosis models for the mortality of sepsis based on real-world data in ChinaSemantic proximity Read

Predicting the Unpredictable: Machine Learning's Role in Sepsis Cardiac Arrest MortalitySemantic proximity Read

Prognostic Assessment of Sepsis-Induced Acute Respiratory Distress Syndrome Using an Early Warning ModelSemantic proximity Read

Prognostic accuracy of qSOFA score, SIRS criteria, and EWSs for in-hospital mortality among adult patients presenting with suspected infection to the emergency department (PASSEM): protocol for an international multicentre prospective external validation cohort studySemantic proximity Read

The Sepsis ImmunoScore Predicts Sepsis, Mortality, and Deterioration Better than Clinical Scores and Widely Available BiomarkersSemantic proximity Read

CLINICAL PHENOTYPES OF SEPSIS-ASSOCIATED ENCEPHALOPATHY: A RETROSPECTIVE COHORT STUDY.Semantic proximity Read

Time-Series Deep Learning and Conformal Prediction for Improved Sepsis Diagnosis in Non-ICU Hospitalized PatientsSemantic proximity Read

Development and validation of a nomogram for predicting sepsis-induced coagulopathy in septic patients: mixed retrospective and prospective cohort studySemantic proximity Read