AIMC Topic: Organ Dysfunction Scores

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Relationship between medication regimen complexity and pharmacist engagement in fluid stewardship.

American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists May 23, 2025
PURPOSE: The medication regimen complexity intensive care unit (MRC-ICU) score has previously been associated with pharmacist workload and fluid overload. The purpose of this study was to determine the relationship of MRC-ICU score with pharmacist-dr...
Retrospective Studies Critical Illness Intensive Care Units Female Aged Humans Adult Male Middle Aged Fluid Therapy Length of Stay Organ Dysfunction Scores Cohort Studies Pharmacists Pharmacy Service, Hospital Professional Role
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Optimal Vasopressin Initiation in Septic Shock: The OVISS Reinforcement Learning Study.

JAMA May 20, 2025
IMPORTANCE: Norepinephrine is the first-line vasopressor for patients with septic shock. When and whether a second agent, such as vasopressin, should be added is unknown.
Female Aged Male Middle Aged Hospital Mortality Humans Critical Illness Electronic Health Records Clinical Decision-Making Datasets as Topic Practice Guidelines as Topic Organ Dysfunction Scores Vasopressins Reinforcement Machine Learning Shock, Septic Observational Studies as Topic Norepinephrine Vasoconstrictor Agents
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Multicenter target trial emulation to evaluate corticosteroids for sepsis stratified by predicted organ dysfunction trajectory.

Nature communications May 13, 2025
Corticosteroids decrease the duration of organ dysfunction in sepsis and a range of overlapping and complementary infectious critical illnesses, including septic shock, pneumonia and the acute respiratory distress syndrome (ARDS). The risk and benefi...
Humans Machine Learning Retrospective Studies Female Male Aged Pneumonia Middle Aged Multiple Organ Failure Sepsis Organ Dysfunction Scores Shock, Septic Adrenal Cortex Hormones Respiratory Distress Syndrome
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[Establishing of mortality predictive model for elderly critically ill patients using simple bedside indicators and interpretable machine learning algorithms].

Zhonghua wei zhong bing ji jiu yi xue Feb 1, 2025
OBJECTIVE: To explore the feasibility of incorporating simple bedside indicators into death predictive model for elderly critically ill patients based on interpretability machine learning algorithms, providing a new scheme for clinical disease assess...
Female Aged Male Hospital Mortality APACHE Prognosis Retrospective Studies Critical Illness Intensive Care Units Organ Dysfunction Scores Humans Machine Learning Algorithms
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Individualized multi-treatment response curves estimation using RBF-net with shared neurons.

Biometrics Jan 7, 2025
Heterogeneous treatment effect estimation is an important problem in precision medicine. Specific interests lie in identifying the differential effect of different treatments based on some external covariates. We propose a novel non-parametric treatm...
Models, Statistical Bayes Theorem Markov Chains Organ Dysfunction Scores Monte Carlo Method Biometry Statistics, Nonparametric Precision Medicine Intensive Care Units Length of Stay Sepsis Treatment Outcome Humans Neural Networks, Computer Algorithms Computer Simulation
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Machine learning for the prediction of acute kidney injury in critical care patients with acute cerebrovascular disease.

Renal failure Dec 1, 2022
PURPOSE: Acute kidney injury (AKI) is a common complication and associated with a poor clinical outcome. In this study, we developed and validated a model for predicting the risk of AKI through machine learning methods in critical care patients with ...
Female Aged Male Middle Aged China ROC Curve Humans Logistic Models Machine Learning Cerebrovascular Disorders Databases, Factual Critical Care Retrospective Studies Organ Dysfunction Scores Acute Kidney Injury
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A Simulated Prospective Evaluation of a Deep Learning Model for Real-Time Prediction of Clinical Deterioration Among Ward Patients.

Critical care medicine Aug 1, 2021
OBJECTIVES: The National Early Warning Score, Modified Early Warning Score, and quick Sepsis-related Organ Failure Assessment can predict clinical deterioration. These scores exhibit only moderate performance and are often evaluated using aggregated ...
Humans Retrospective Studies Adult Male Middle Aged Risk Assessment Deep Learning Sepsis Critical Care Organ Dysfunction Scores Pennsylvania Clinical Deterioration
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A statistically rigorous deep neural network approach to predict mortality in trauma patients admitted to the intensive care unit.

The journal of trauma and acute care surgery Oct 1, 2020
BACKGROUND: Trauma patients admitted to critical care are at high risk of mortality because of their injuries. Our aim was to develop a machine learning-based model to predict mortality using Fahad-Liaqat-Ahmad Intensive Machine (FLAIM) framework. We...
Organ Dysfunction Scores Wounds and Injuries Sodium Critical Care Humans Proportional Hazards Models Multivariate Analysis Injury Severity Score Intensive Care Units Male Female Middle Aged Hospitalization Sepsis Young Adult ROC Curve Adult Neural Networks, Computer Machine Learning Prognosis Retrospective Studies Critical Illness
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On classifying sepsis heterogeneity in the ICU: insight using machine learning.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2020
OBJECTIVES: Current machine learning models aiming to predict sepsis from electronic health records (EHR) do not account 20 for the heterogeneity of the condition despite its emerging importance in prognosis and treatment. This work demonstrates the ...
Sensitivity and Specificity Sepsis Diagnosis, Differential Organ Dysfunction Scores Humans Machine Learning Intensive Care Units Electronic Health Records
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Heart rate variability based machine learning models for risk prediction of suspected sepsis patients in the emergency department.

Medicine Feb 1, 2019
Early identification of high-risk septic patients in the emergency department (ED) may guide appropriate management and disposition, thereby improving outcomes. We compared the performance of machine learning models against conventional risk stratifi...
Sepsis Hospital Mortality Systemic Inflammatory Response Syndrome Aged Triage ROC Curve Aged, 80 and over Emergency Service, Hospital Socioeconomic Factors Male Singapore Middle Aged Humans Heart Rate Severity of Illness Index Machine Learning Organ Dysfunction Scores Female Reproducibility of Results
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