AIMC Topic: Organ Dysfunction Scores

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Machine learning algorithm to predict mortality in patients undergoing continuous renal replacement therapy.

Critical care (London, England) Feb 6, 2020
BACKGROUND: Previous scoring models such as the Acute Physiologic Assessment and Chronic Health Evaluation II (APACHE II) and the Sequential Organ Failure Assessment (SOFA) scoring systems do not adequately predict mortality of patients undergoing co...
APACHE Organ Dysfunction Scores Mortality Acute Kidney Injury Republic of Korea Female Risk Factors Aged Aged, 80 and over Male Middle Aged Severity of Illness Index ROC Curve Area Under Curve Humans Machine Learning Algorithms Continuous Renal Replacement Therapy
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ICU staffing feature phenotypes and their relationship with patients' outcomes: an unsupervised machine learning analysis.

Intensive care medicine Oct 8, 2019
PURPOSE: To study whether ICU staffing features are associated with improved hospital mortality, ICU length of stay (LOS) and duration of mechanical ventilation (MV) using cluster analysis directed by machine learning.
Hospital Bed Capacity Unsupervised Machine Learning Odds Ratio Organ Dysfunction Scores Personnel Staffing and Scheduling Physical Therapists Humans Length of Stay Physicians Nurses Retrospective Studies Time Factors Intensive Care Units Hospital Mortality Brazil Logistic Models Cluster Analysis
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DeepSOFA: A Continuous Acuity Score for Critically Ill Patients using Clinically Interpretable Deep Learning.

Scientific reports Feb 12, 2019
Traditional methods for assessing illness severity and predicting in-hospital mortality among critically ill patients require time-consuming, error-prone calculations using static variable thresholds. These methods do not capitalize on the emerging a...
Decision Making Databases, Factual Area Under Curve Retrospective Studies Probability Critical Illness Humans Critical Care Intensive Care Units Organ Dysfunction Scores Female Aged Deep Learning Young Adult Length of Stay Adult Adolescent Male Hospital Mortality Middle Aged Longitudinal Studies Severity of Illness Index
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Development and Evaluation of a Machine Learning Model for the Early Identification of Patients at Risk for Sepsis.

Annals of emergency medicine Jan 17, 2019
STUDY OBJECTIVE: The Third International Consensus Definitions (Sepsis-3) Task Force recommended the use of the quick Sequential [Sepsis-related] Organ Failure Assessment (qSOFA) score to screen patients for sepsis outside of the ICU. However, subseq...
Early Diagnosis Lactic Acid Organ Dysfunction Scores Hospitals, Urban Sensitivity and Specificity Male Middle Aged Severity of Illness Index Sepsis Humans Machine Learning Retrospective Studies Female Aged
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Low vitamin D at ICU admission is associated with cancer, infections, acute respiratory insufficiency, and liver failure.

Nutrition (Burbank, Los Angeles County, Calif.) Oct 24, 2018
OBJECTIVES: Vitamin D deficiency may be associated with comorbidities and poor prognosis. However, this association in patients in the intensive care unit (ICU) has not been fully elucidated. The aim of this study was to investigate whether the serum...
Neoplasms APACHE Aged Respiration, Artificial Infections Hospital Mortality Humans Adult Comorbidity Liver Failure Vitamin D Cross-Sectional Studies Severity of Illness Index Prognosis Organ Dysfunction Scores Vitamin D Deficiency Male Time Factors Critical Illness Patient Admission C-Reactive Protein Intensive Care Units Middle Aged Acute Disease Female Respiratory Insufficiency
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Predictive modelling of survival and length of stay in critically ill patients using sequential organ failure scores.

Artificial intelligence in medicine Dec 30, 2014
INTRODUCTION: The length of stay of critically ill patients in the intensive care unit (ICU) is an indication of patient ICU resource usage and varies considerably. Planning of postoperative ICU admissions is important as ICUs often have no nonoccupi...
Humans Critical Illness Intensive Care Units Female Male Belgium Length of Stay Support Vector Machine Survival Analysis Datasets as Topic Organ Dysfunction Scores
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A machine learning and centrifugal microfluidics platform for bedside prediction of sepsis.

Nature communications May 27, 2025
Sepsis is a life-threatening organ dysfunction due to a dysfunctional response to infection. Delays in diagnosis have substantial impact on survival. Herein, blood samples from 586 in-house patients with suspected sepsis are used in conjunction with ...
Microfluidics Organ Dysfunction Scores Sensitivity and Specificity Male Point-of-Care Systems Middle Aged Sepsis Humans Machine Learning Intensive Care Units Female Aged
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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...
Humans Retrospective Studies Critical Illness Intensive Care Units Female Cohort Studies Fluid Therapy Organ Dysfunction Scores Pharmacists Pharmacy Service, Hospital Professional Role Aged Adult Male Middle Aged Length of Stay
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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.
Electronic Health Records Clinical Decision-Making Female Aged Male Humans Critical Illness Vasoconstrictor Agents Datasets as Topic Practice Guidelines as Topic Organ Dysfunction Scores Vasopressins Reinforcement Machine Learning Middle Aged Hospital Mortality Shock, Septic Observational Studies as Topic Norepinephrine
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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...
Respiratory Distress Syndrome Pneumonia Multiple Organ Failure Organ Dysfunction Scores Adrenal Cortex Hormones Female Aged Male Middle Aged Sepsis Humans Shock, Septic Machine Learning Retrospective Studies
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