AIMC Topic: Hospital Mortality

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Artificial Intelligence ECG Diastolic Dysfunction and Survival in Cardiac Intensive Care Unit Patients.

Journal of the American Heart Association Feb 19, 2025
BACKGROUND: Left ventricular diastolic dysfunction (LVDD) predicts mortality in patients in cardiac intensive care units. An artificial intelligence enhanced ECG (AIECG) algorithm can predict LVDD and mortality in general populations but has not been...
Ventricular Dysfunction, Left Coronary Care Units Diastole Artificial Intelligence Retrospective Studies Female Aged Male Ventricular Function, Left Echocardiography Middle Aged Hospital Mortality Electrocardiography Humans
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Impact of Sepsis Onset Timing on All-Cause Mortality in Acute Pancreatitis: A Multicenter Retrospective Cohort Study.

Journal of intensive care medicine Feb 18, 2025
BackgroundSepsis complicates acute pancreatitis (AP), increasing mortality risk. Few studies have examined how sepsis and its onset timing affect mortality in AP. This study evaluates the association between sepsis occurrence and all-cause mortality ...
Retrospective Studies Intensive Care Units Female Risk Factors Aged Hospital Mortality Humans Acute Disease Propensity Score Adult Kaplan-Meier Estimate Male Pancreatitis Middle Aged Sepsis Time Factors
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Developing practical machine learning survival models to identify high-risk patients for in-hospital mortality following traumatic brain injury.

Scientific reports Feb 18, 2025
Machine learning (ML) offers precise predictions and could improve patient care, potentially replacing traditional scoring systems. A retrospective study at Emtiaz Hospital analyzed 3,180 traumatic brain injury (TBI) patients. Nineteen variables were...
Risk Factors Aged Adult Male Middle Aged Risk Assessment Hospital Mortality Brain Injuries, Traumatic Survival Analysis Kaplan-Meier Estimate Machine Learning Algorithms Prognosis Retrospective Studies Female Humans
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An effective multi-step feature selection framework for clinical outcome prediction using electronic medical records.

BMC medical informatics and decision making Feb 17, 2025
BACKGROUND: Identifying key variables is essential for developing clinical outcome prediction models based on high-dimensional electronic medical records (EMR). However, despite the abundance of feature selection (FS) methods available, challenges re...
Female Aged Male Middle Aged Hospital Mortality Humans Machine Learning Acute Kidney Injury Intensive Care Units Electronic Health Records Emergency Service, Hospital Outcome Assessment, Health Care
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Stress hyperglycemia ratio and machine learning model for prediction of all-cause mortality in patients undergoing cardiac surgery.

Cardiovascular diabetology Feb 15, 2025
BACKGROUND: The stress hyperglycemia ratio (SHR) was developed to reduce the effects of long-term chronic glycemic factors on stress hyperglycemia levels, which was associated with adverse clinical outcomes. This study aims to evaluate the relationsh...
Databases, Factual Biomarkers Retrospective Studies Female Risk Factors Humans Machine Learning Decision Support Techniques Predictive Value of Tests Cause of Death Cardiac Surgical Procedures Stress, Physiological Blood Glucose Aged Time Factors Male Hospital Mortality Middle Aged Hyperglycemia Risk Assessment Treatment Outcome
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A machine learning based death risk analysis and prediction of ST-segment elevation myocardial infarction (STEMI) patients.

Computers in biology and medicine Feb 14, 2025
Acute myocardial infarction is a condition in which a part of the heart muscle cannot receive enough blood due to the narrowing and blockage of the vessels feeding the heart over time. Noticing this situation lately and failing to intervene immediate...
Middle Aged Risk Assessment Humans Hospital Mortality Machine Learning ST Elevation Myocardial Infarction Algorithms Female Aged Male
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Machine Learning-Based Pediatric Early Warning Score: Patient Outcomes in a Pre- Versus Post-Implementation Study, 2019-2023.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Feb 6, 2025
OBJECTIVES: To describe the deployment of pediatric Calculated Assessment of Risk and Triage (pCART), a machine learning (ML) model to predict the risk of the direct ward to the ICU transfer within 12 hours, and the associated improved outcomes among...
Humans Machine Learning Female Infant, Newborn Male Risk Assessment Infant Intensive Care Units, Pediatric Respiration, Artificial Triage Adolescent Patient Transfer Child, Preschool Early Warning Score Child Hospital Mortality
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Plasma IL-17A is increased in patients with critical MIS-C and associated to in-hospital mortality.

Frontiers in immunology Jan 27, 2025
BACKGROUND: Multisystem inflammatory syndrome in children (MIS-C) is a rare and severe post-COVID-19 complication with multiple phenotypes.
Adolescent Child, Preschool Child Interleukin-17 Hospital Mortality Female Humans Systemic Inflammatory Response Syndrome COVID-19 Infant, Newborn Intensive Care Units, Pediatric Prospective Studies SARS-CoV-2 Oxidative Stress Biomarkers Male ROC Curve Infant
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Multimodal deep learning for predicting in-hospital mortality in heart failure patients using longitudinal chest X-rays and electronic health records.

The international journal of cardiovascular imaging Jan 9, 2025
Amid an aging global population, heart failure has become a leading cause of hospitalization among older people. Its high prevalence and mortality rates underscore the importance of accurate mortality prediction for swift disease progression assessme...
Reproducibility of Results Risk Factors Aged Aged, 80 and over Male Decision Support Techniques Prognosis Predictive Value of Tests Electronic Health Records Middle Aged Humans Feasibility Studies Risk Assessment Female Heart Failure Deep Learning Radiography, Thoracic Time Factors Hospital Mortality
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Prediction of mortality in intensive care unit with short-term heart rate variability: Machine learning-based analysis of the MIMIC-III database.

Computers in biology and medicine Jan 7, 2025
BACKGROUND: Prognosis prediction in the intensive care unit (ICU) traditionally relied on physiological scoring systems based on clinical indicators at admission. Electrocardiogram (ECG) provides easily accessible information, with heart rate variabi...
Hospital Mortality Electrocardiography Heart Rate Intensive Care Units Female Aged Male Middle Aged Machine Learning Databases, Factual Prognosis Humans Retrospective Studies
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