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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 39931580
BACKGROUND: Multisystem inflammatory syndrome in children (MIS-C) is a rare and severe post-COVID-19 complication with multiple phenotypes.
Adolescent Biomarkers Child Child, Preschool COVID-19 Female Hospital Mortality Humans Infant Infant, Newborn Intensive Care Units, Pediatric Interleukin-17 Male Oxidative Stress Prospective Studies ROC Curve SARS-CoV-2 Systemic Inflammatory Response Syndrome
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Early prediction of 30-day mortality in patients with surgical wound infections following cardiothoracic surgery: Development and validation of the SWICS-30 score utilizing conventional logistic regression and artificial neural network.

The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases 39985931
INTRODUCTION: We aimed to create and validate the 30-day prognostic score for mortality in patients with surgical wound infection (SWICS-30) after cardiothoracic surgery.
Adolescent Adult Aged Aged, 80 and over Cardiac Surgical Procedures Female Hospital Mortality Humans Logistic Models Male Middle Aged Neural Networks, Computer Prognosis Retrospective Studies Risk Assessment Risk Factors Surgical Wound Infection Young Adult
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Machine learning based on nutritional assessment to predict adverse events in older inpatients with possible sarcopenia.

Aging clinical and experimental research 39985661
BACKGROUND: The accuracy of current tools for predicting adverse events in older inpatients with possible sarcopenia is still insufficient to develop individualized nutrition-related management strategies. The objectives were to develop a machine lea...
Aged Aged, 80 and over China Female Geriatric Assessment Hospital Mortality Humans Inpatients Machine Learning Male Nutrition Assessment Retrospective Studies ROC Curve Sarcopenia
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New machine-learning models outperform conventional risk assessment tools in Gastrointestinal bleeding.

Scientific reports 39984590
Rapid and accurate identification of high-risk acute gastrointestinal bleeding (GIB) patients is essential. We developed two machine-learning (ML) models to calculate the risk of in-hospital mortality in patients admitted due to overt GIB. We analyze...
Aged Aged, 80 and over Area Under Curve Female Gastrointestinal Hemorrhage Hospital Mortality Humans Hungary Machine Learning Male Middle Aged Prospective Studies Registries Risk Assessment ROC Curve
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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 39982152
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...
Adolescent Child Child, Preschool Early Warning Score Female Hospital Mortality Humans Infant Infant, Newborn Intensive Care Units, Pediatric Machine Learning Male Patient Transfer Respiration, Artificial Risk Assessment Triage
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Artificial Intelligence ECG Diastolic Dysfunction and Survival in Cardiac Intensive Care Unit Patients.

Journal of the American Heart Association 39968804
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...
Aged Artificial Intelligence Coronary Care Units Diastole Echocardiography Electrocardiography Female Hospital Mortality Humans Male Middle Aged Retrospective Studies Ventricular Dysfunction, Left Ventricular Function, Left
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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 39966448
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...
Adult Aged Algorithms Brain Injuries, Traumatic Female Hospital Mortality Humans Kaplan-Meier Estimate Machine Learning Male Middle Aged Prognosis Retrospective Studies Risk Assessment Risk Factors Survival Analysis
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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 39962480
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...
Acute Kidney Injury Aged Electronic Health Records Emergency Service, Hospital Female Hospital Mortality Humans Intensive Care Units Machine Learning Male Middle Aged 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 39955587
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...
Aged Biomarkers Blood Glucose Cardiac Surgical Procedures Cause of Death Databases, Factual Decision Support Techniques Female Hospital Mortality Humans Hyperglycemia Machine Learning Male Middle Aged Predictive Value of Tests Retrospective Studies Risk Assessment Risk Factors Stress, Physiological Time Factors 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 39954398
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...
Aged Algorithms Female Hospital Mortality Humans Machine Learning Male Middle Aged Risk Assessment ST Elevation Myocardial Infarction
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