AIMC Topic: Sepsis

Clear Filters Showing 41 to 50 of 347 articles

Developing a rapid screening tool for high-risk ICU patients of sepsis: integrating electronic medical records with machine learning methods for mortality prediction in hospitalized patients-model establishment, internal and external validation, and visualization.

Journal of translational medicine Jan 21, 2025
OBJECTIVES: To develop a machine learning-based prediction model using clinical data from the first 24 h of ICU admission to enable rapid screening and early intervention for sepsis patients.
Sepsis ROC Curve Electronic Health Records Female Reproducibility of Results Risk Factors Hospitalization Aged Male Middle Aged Humans Machine Learning Retrospective Studies Intensive Care Units
View on PubMed DOI

Clinical evaluation of a multiplex droplet digital PCR for diagnosing suspected bloodstream infections: a prospective study.

Frontiers in cellular and infection microbiology Jan 16, 2025
BACKGROUND: Though droplet digital PCR (ddPCR) has emerged as a promising tool for early pathogen detection in bloodstream infections (BSIs), more studies are needed to support its clinical application widely due to different ddPCR platforms with dis...
Male Middle Aged Sepsis Multiplex Polymerase Chain Reaction Aged, 80 and over Humans Adult Molecular Diagnostic Techniques Prospective Studies DNA, Bacterial Sensitivity and Specificity Female ROC Curve Aged Bacteria Bacteremia Blood Culture
View on PubMed DOI

Combining machine learning and single-cell sequencing to identify key immune genes in sepsis.

Scientific reports Jan 10, 2025
This research aimed to identify novel indicators for sepsis by analyzing RNA sequencing data from peripheral blood samples obtained from sepsis patients (n = 23) and healthy controls (n = 10). 5148 differentially expressed genes were identified using...
Male Middle Aged Gene Expression Profiling Case-Control Studies Sepsis Single-Cell Analysis Sequence Analysis, RNA Machine Learning Algorithms Female Aged Humans
View on PubMed DOI

Machine Learning Approach for Sepsis Risk Assessment in Ischemic Stroke Patients.

Journal of intensive care medicine Jan 9, 2025
BackgroundIschemic stroke is a critical neurological condition, with infection representing a significant aspect of its clinical management. Sepsis, a life-threatening organ dysfunction resulting from infection, is among the most dangerous complicati...
Humans Machine Learning Intensive Care Units Risk Assessment Sepsis Logistic Models Ischemic Stroke Female Aged Male Middle Aged
View on PubMed DOI

Interpretable machine learning-based prediction of 28-day mortality in ICU patients with sepsis: a multicenter retrospective study.

Frontiers in cellular and infection microbiology Jan 8, 2025
BACKGROUND: Sepsis is a major cause of mortality in intensive care units (ICUs) and continues to pose a significant global health challenge, with sepsis-related deaths contributing substantially to the overall burden on healthcare systems worldwide. ...
Male Middle Aged Sepsis Logistic Models Support Vector Machine Intensive Care Units Humans Female Machine Learning Risk Factors Aged Algorithms Prognosis Retrospective Studies
View on PubMed DOI

Interpretable machine learning for predicting sepsis risk in emergency triage patients.

Scientific reports Jan 6, 2025
The study aimed to develop and validate a sepsis prediction model using structured electronic medical records (sEMR) and machine learning (ML) methods in emergency triage. The goal was to enhance early sepsis screening by integrating comprehensive tr...
Electronic Health Records Female Aged Adult Machine Learning Algorithms Retrospective Studies Triage Emergency Service, Hospital Vital Signs Male Middle Aged Risk Assessment Sepsis Humans
View on PubMed DOI

Utilizing integrated bioinformatics and machine learning approaches to elucidate biomarkers linking sepsis to purine metabolism-associated genes.

Scientific reports Jan 2, 2025
Sepsis, characterized as a systemic inflammatory response triggered by pathogen invasion, represents a continuum that may progress from mild systemic infection to severe sepsis, potentially culminating in septic shock and multiple organ dysfunction s...
Humans Sepsis Computational Biology Support Vector Machine Purines Machine Learning Biomarkers Gene Expression Profiling
View on PubMed DOI

Prediction of sepsis among patients with major trauma using artificial intelligence: a multicenter validated cohort study.

International journal of surgery (London, England) Jan 1, 2025
BACKGROUND: Sepsis remains a significant challenge in patients with major trauma in the ICU. Early detection and treatment are crucial for improving outcomes and reducing mortality rates. Nonetheless, clinical tools for predicting sepsis among patien...
Wounds and Injuries Male Middle Aged Risk Assessment Humans Sepsis Artificial Intelligence Machine Learning Prospective Studies Retrospective Studies Female Aged Adult
View on PubMed DOI

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

Scientific reports Dec 30, 2024
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...
Humans Machine Learning Biomarkers Sepsis Gene Regulatory Networks Computational Biology Sepsis-Associated Encephalopathy
View on PubMed DOI

Hope for the best prepare for the worst: acute kidney disease and catastrophic comorbidities (a case report).

The Pan African medical journal Dec 27, 2024
It is evident that Acute Kidney Injury (AKI) is an independent risk factor for both the survival of patients and their kidneys. Here, we present a case of oliguric AKI secondary to blunt trauma-induced crush syndrome complicated with severe sepsis in...
Renal Dialysis Crush Injuries Humans Acute Kidney Injury Accidents, Occupational Anti-Bacterial Agents Adult Accidental Falls Wounds, Nonpenetrating Male Sepsis
View on PubMed DOI
Popular Topics
Recent Journals