AIMC Topic: Organ Dysfunction Scores

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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...
Kaplan-Meier Estimate Candidemia Male Middle Aged Risk Assessment Organ Dysfunction Scores Humans Machine Learning Prognosis Critical Illness Intensive Care Units Female Aged
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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 Machine Learning Female Organ Dysfunction Scores Middle Aged Risk Factors Sepsis Aged ROC Curve Aged, 80 and over Delirium Male
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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...
Critical Illness Female Aged Male Humans Machine Learning Algorithms Anti-Bacterial Agents beta-Lactams Middle Aged Sepsis Drug Monitoring Organ Dysfunction Scores
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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...
Humans Prognosis Deep Learning Aged ROC Curve Retrospective Studies Emergency Service, Hospital Aged, 80 and over Taiwan Intensive Care Units Male Geriatric Assessment Area Under Curve Risk Assessment Organ Dysfunction Scores Female Hospitalization
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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...
Middle Aged Length of Stay Hospital Mortality Causality Bilirubin Gastrointestinal Hemorrhage Intensive Care Units Organ Dysfunction Scores Female Glasgow Coma Scale Aged Humans Male Machine Learning Algorithms Prognosis Critical Illness
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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.
Critical Care Risk Adjustment Organ Dysfunction Scores Fludrocortisone Clinical Decision-Making Glucocorticoids Humans Female Shock, Septic Machine Learning Aged Randomized Controlled Trials as Topic Prognosis Male Hydrocortisone Intensive Care Units
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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...
Deep Learning Sepsis ROC Curve Organ Dysfunction Scores Humans Prognosis Retrospective Studies Intensive Care Units
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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.
Sepsis Hospital Mortality Decision Making Predictive Value of Tests Female Humans Emergency Service, Hospital Aged Artificial Intelligence Male Hospitals, University Prospective Studies Middle Aged Colombia Prognosis Organ Dysfunction Scores
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