AIMC Topic: Organ Dysfunction Scores

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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...
Humans Machine Learning Prognosis Critical Illness Middle Aged Risk Assessment Organ Dysfunction Scores Kaplan-Meier Estimate Candidemia Intensive Care Units Female Aged Male
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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.
Humans Organ Dysfunction Scores Machine Learning Aged Aged, 80 and over Middle Aged Female Male Sepsis Risk Factors ROC Curve Delirium
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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...
Humans Machine Learning Algorithms Organ Dysfunction Scores beta-Lactams Male Anti-Bacterial Agents Middle Aged Critical Illness Sepsis Female Drug Monitoring Aged
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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...
ROC Curve Taiwan Area Under Curve Emergency Service, Hospital Aged, 80 and over Intensive Care Units Geriatric Assessment Humans Male Female Organ Dysfunction Scores Prognosis Risk Assessment Hospitalization Retrospective Studies Deep Learning Aged
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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...
Aged Male Middle Aged Length of Stay Prognosis Critical Illness Intensive Care Units Female Organ Dysfunction Scores Glasgow Coma Scale Hospital Mortality Causality Bilirubin Gastrointestinal Hemorrhage Humans Machine Learning Algorithms
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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, ...
Humans Machine Learning Critical Illness Risk Factors ROC Curve Organ Dysfunction Scores
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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.
Humans Machine Learning Clinical Decision-Making Female Aged Prognosis Intensive Care Units Hydrocortisone Critical Care Male Risk Adjustment Glucocorticoids Organ Dysfunction Scores Fludrocortisone Shock, Septic Randomized Controlled Trials as Topic
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A deep learning approach for sepsis monitoring via severity score estimation.

Computer methods and programs in biomedicine Oct 28, 2020
BACKGROUND AND OBJECTIVE: Sepsis occurs in response to an infection in the body and can progress to a fatal stage. Detection and monitoring of sepsis require multi-step analysis, which is time-consuming, costly and requires medically trained personne...
ROC Curve Organ Dysfunction Scores Retrospective Studies Intensive Care Units Deep Learning Sepsis Humans Prognosis
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Supervised classification techniques for prediction of mortality in adult patients with sepsis.

The American journal of emergency medicine Sep 12, 2020
BACKGROUND: Sepsis mortality is still unacceptably high and an appropriate prognostic tool may increase the accuracy for clinical decisions.
Artificial Intelligence Prospective Studies Hospital Mortality Colombia Prognosis Humans Decision Making Female Organ Dysfunction Scores Aged Predictive Value of Tests Male Emergency Service, Hospital Middle Aged Hospitals, University Sepsis
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Automated quantification and architectural pattern detection of hepatic fibrosis in NAFLD.

Annals of diagnostic pathology Apr 12, 2020
Accurate detection and quantification of hepatic fibrosis remain essential for assessing the severity of non-alcoholic fatty liver disease (NAFLD) and its response to therapy in clinical practice and research studies. Our aim was to develop an integr...
Supervised Machine Learning Liver Cirrhosis Organ Dysfunction Scores Non-alcoholic Fatty Liver Disease Liver Portal Vein Collagen Eosine Yellowish-(YS) Fibrosis Biopsy Practice Patterns, Physicians' Methyl Green Automation Azo Compounds Pathologists Clinical Trials as Topic Humans Artificial Intelligence Severity of Illness Index Image Processing, Computer-Assisted
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