AIMC Topic: Organ Dysfunction Scores

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Stress hyperglycemia ratio modulates the impact of organ dysfunction on mortality risk in critically ill patients with atrial fibrillation: insights from the MIMIC-IV database.

Cardiovascular diabetology Nov 5, 2025
BACKGROUND: Atrial fibrillation (AF) is a major cardiovascular issue in critically ill patients, linked to elevated mortality rates. The Stress Hyperglycemia Ratio (SHR), a novel metric of glucose control, has shown promise in predicting adverse outc...
Aged Male Middle Aged Risk Assessment Blood Glucose Retrospective Studies Critical Illness Female Risk Factors Predictive Value of Tests Atrial Fibrillation Stress, Physiological Organ Dysfunction Scores Bicarbonates Time Factors Humans Hospital Mortality Hyperglycemia Multiple Organ Failure Databases, Factual Biomarkers Prognosis
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Hospital Outcome of Host Heterogeneity, Organ dysfunction and Trajectory in sepsis (HOHHOT): A cohort study in the critical care unit.

BMJ open Oct 15, 2025
INTRODUCTION: Prognosis estimation is the basis for establishing the personal interventions in sepsis patients. Serum biomarkers are potential tools for predicting the outcomes of sepsis patients admitted to the intensive care unit (ICU). Here, we pl...
Humans Sepsis Hospital Mortality Female Adult Prospective Studies ROC Curve Male Multiple Organ Failure Organ Dysfunction Scores Biomarkers Middle Aged Prognosis China Intensive Care Units
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Effectiveness of predictive scoring systems in predicting mortality in relation to baseline kidney function in adult intensive care unit patients: a systematic review protocol.

BMJ open Jul 17, 2025
INTRODUCTION: Predictive scoring systems support clinicians in decision-making by estimating the prognosis of patients in intensive care units (ICUs). However, there is limited evidence on the accuracy of these systems in predicting mortality and org...
Humans Research Design Hospital Mortality Kidney Systematic Reviews as Topic Organ Dysfunction Scores Prognosis Intensive Care Units Adult Risk Assessment
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Development and validation of a modified SOFA score for mortality prediction in candidemia patients.

Scientific reports Jul 1, 2025
Candidemia is a life-threatening bloodstream infection associated with high mortality rates, particularly in critically ill patients. Accurate risk stratification is crucial for timely intervention and could improve patient outcomes. This study aimed...
Organ Dysfunction Scores Kaplan-Meier Estimate Candidemia Aged Male Middle Aged Risk Assessment Humans Machine Learning Prognosis Critical Illness Intensive Care Units Female
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Interpretable machine learning model for predicting delirium in patients with sepsis: a study based on the MIMIC data.

BMC infectious diseases Apr 23, 2025
OBJECTIVE: The aim of this study was to construct interpretable machine learning models to predict the risk of developing delirium in patients with sepsis and to explore the impact of delirium on the 28-day survival rate of patients.
ROC Curve Delirium Organ Dysfunction Scores Aged, 80 and over Male Middle Aged Sepsis Machine Learning Female Risk Factors Aged Humans
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Unraveling the impact of therapeutic drug monitoring via machine learning for patients with sepsis.

Cell reports. Medicine Aug 9, 2024
Clinical studies investigating the benefits of beta-lactam therapeutic drug monitoring (TDM) among critically ill patients are hindered by small patient groups, variability between studies, patient heterogeneity, and inadequate use of TDM. Accordingl...
Female Humans Aged Machine Learning Male Algorithms Middle Aged Sepsis Anti-Bacterial Agents Drug Monitoring Critical Illness Organ Dysfunction Scores beta-Lactams
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Explainable Deep Learning Model for Predicting Serious Adverse Events in Hospitalized Geriatric Patients Within 72 Hours.

Clinical interventions in aging Jun 12, 2024
BACKGROUND: The global aging population presents a significant challenge, with older adults experiencing declining physical and cognitive abilities and increased vulnerability to chronic diseases and adverse health outcomes. This study aims to develo...
Area Under Curve Emergency Service, Hospital Humans Geriatric Assessment Prognosis Organ Dysfunction Scores Retrospective Studies Intensive Care Units Male Female Risk Assessment Hospitalization Deep Learning Aged ROC Curve Aged, 80 and over Taiwan
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Upper gastrointestinal haemorrhage patients' survival: A causal inference and prediction study.

European journal of clinical investigation Feb 20, 2024
BACKGROUND: Upper gastrointestinal (GI) bleeding is a common medical emergency. This study aimed to develop models to predict critically ill patients with upper GI bleeding in-hospital and 30-day survival, identify the correlation factor and infer th...
Critical Illness Intensive Care Units Female Aged Male Middle Aged Length of Stay Hospital Mortality Causality Humans Machine Learning Algorithms Prognosis Bilirubin Gastrointestinal Hemorrhage Organ Dysfunction Scores Glasgow Coma Scale
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Biological signatures and prediction of an immunosuppressive status-persistent critical illness-among orthopedic trauma patients using machine learning techniques.

Frontiers in immunology Oct 17, 2022
BACKGROUND: Persistent critical illness (PerCI) is an immunosuppressive status. The underlying pathophysiology driving PerCI remains incompletely understood. The objectives of the study were to identify the biological signature of PerCI development, ...
Organ Dysfunction Scores Machine Learning Critical Illness Risk Factors ROC Curve Humans
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Assessment of Machine Learning to Estimate the Individual Treatment Effect of Corticosteroids in Septic Shock.

JAMA network open Dec 1, 2020
IMPORTANCE: The survival benefit of corticosteroids in septic shock remains uncertain.
Glucocorticoids Clinical Decision-Making Shock, Septic Humans Critical Care Female Machine Learning Randomized Controlled Trials as Topic Risk Adjustment Aged Prognosis Hydrocortisone Organ Dysfunction Scores Male Intensive Care Units Fludrocortisone
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