AIMC Topic: Sepsis
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Markers of endothelial damage and coagulation impairment in patients with severe sepsis resuscitated with hydroxyethyl starch 130/0.42 vs Ringer acetate.
Journal of critical care
Dec 8, 2015
PURPOSE: The Scandinavian Starch for Severe Sepsis/Septic Shock (6S) trial showed increased mortality in patients resuscitated with hydroxyethyl starch 130/0.42 (HES) vs Ringer acetate. Different effects of the fluids on the endothelium may have cont...
Learning a Severity Score for Sepsis: A Novel Approach based on Clinical Comparisons.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Nov 5, 2015
Sepsis is one of the leading causes of death in the United States. Early administration of treatment has been shown to decrease sepsis-related mortality and morbidity. Existing scoring systems such as the Acute Physiology and Chronic Health Evaluatio...
Time-series deep learning and conformal prediction for improved sepsis diagnosis in primarily Non-ICU hospitalized patients.
Computers in biology and medicine
Jul 1, 2025
PURPOSE: Sepsis, a life-threatening condition from an uncontrolled immune response to infection, is a leading cause of in-hospital mortality. Early detection is crucial, yet traditional diagnostic methods, like SIRS and SOFA, often fail to identify s...
A systematic methodological evaluation of sepsis guidelines: Protocol for quality assessment and consistency of recommendations.
Acta anaesthesiologica Scandinavica
Jul 1, 2025
BACKGROUND: Sepsis is a leading cause of mortality worldwide, characterized by a dysregulated host response to infection. Despite the development of multiple clinical practice guidelines (CPGs) to standardize sepsis management, substantial variabilit...
Sepsis Important Genes Identification Through Biologically Informed Deep Learning and Transcriptomic Analysis.
Clinical and experimental pharmacology & physiology
Jul 1, 2025
Sepsis is a life-threatening disease caused by the dysregulation of the immune response. It is important to identify influential genes modulating the immune response in sepsis. In this study, we used P-NET, a biologically informed explainable artific...
GLOBAL TRENDS IN ARTIFICIAL INTELLIGENCE AND SEPSIS-RELATED RESEARCH: A BIBLIOMETRIC ANALYSIS.
Shock (Augusta, Ga.)
Jul 1, 2025
Background: In the field of bibliometrics, although some studies have conducted literature reviews and analyses on sepsis, these studies mainly focus on specific areas or technologies, such as the relationship between the gut microbiome and sepsis, o...
MACHINE LEARNING AND BIOINFORMATICS TO IDENTIFY COAGULATION BIOMARKERS IN SEPSIS-RELATED KIDNEY INJURY.
Shock (Augusta, Ga.)
Jul 1, 2025
Background: Sepsis-associated acute kidney injury (SA-AKI) is a life-threatening complication with mortality rates exceeding 50%, yet its molecular drivers remain poorly defined. Dysregulated coagulation is increasingly implicated in SA-AKI pathogene...
EVALUATION OF PROGNOSTIC RISK MODELS BASED ON AGE AND COMORBIDITY IN SEPTIC PATIENTS: INSIGHTS FROM MACHINE LEARNING AND TRADITIONAL METHODS IN A LARGE-SCALE, MULTICENTER, RETROSPECTIVE STUDY.
Shock (Augusta, Ga.)
Jul 1, 2025
Background: Age and comorbidity significantly impact the prognosis of septic patients and inform treatment decisions. To provide clinicians with effective tools for identifying high-risk patients, this study assesses the predictive value of the age-a...
Quantifying Healthcare Provider Perceptions of a Novel Deep Learning Algorithm to Predict Sepsis: Electronic Survey.
Critical care explorations
Jun 1, 2025
IMPORTANCE: Sepsis is a major cause of morbidity and mortality, with early intervention shown to improve outcomes. Predictive modeling and artificial intelligence (AI) can aid in early sepsis recognition, but there remains a gap between algorithm dev...
Prognostic value of the Glucose-to-Albumin ratio in sepsis-related mortality: A retrospective ICU study.
Diabetes research and clinical practice
Jun 1, 2025
AIMS: To investigate the prognostic value of the glucose-to-albumin ratio (GAR) in predicting 30-day and 90-day mortality in septic ICU patients.
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