AIMC Topic: Intensive Care Units, Pediatric

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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...
Infant, Newborn Male Risk Assessment Infant Respiration, Artificial Humans Machine Learning Female Adolescent Child, Preschool Child Hospital Mortality Intensive Care Units, Pediatric Triage Patient Transfer Early Warning Score
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Interoperable Models for Identifying Critically Ill Children at Risk of Neurologic Morbidity.

JAMA network open Feb 3, 2025
IMPORTANCE: Decreasing mortality in the field of pediatric critical care medicine has shifted practicing clinicians' attention to preserving patients' neurodevelopmental potential as a main objective. Earlier identification of critically ill children...
Child, Preschool Humans Machine Learning Female Child Biomarkers Male Intensive Care Units, Pediatric Prognosis Risk Assessment Nervous System Diseases Critical Illness Infant Adolescent
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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 Humans Female Interleukin-17 COVID-19 Hospital Mortality Prospective Studies Systemic Inflammatory Response Syndrome Biomarkers Intensive Care Units, Pediatric Infant, Newborn Oxidative Stress SARS-CoV-2 ROC Curve Male Infant
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Acute Effects of Aminophylline Effects on Hemodynamic Parameters and Fluid Balance in Pediatric Cardiac Intensive Care Patients: Machine Learning Insights Using High Fidelity Data.

Pediatric cardiology Nov 27, 2024
Fluid overload is associated with increased morbidity and mortality after pediatric cardiac surgery. Management of fluid overload can be difficult and conventional tools may increase the risk of acute kidney injury. This study aimed to study the effe...
Humans Machine Learning Retrospective Studies Female Male Creatinine Infant Hemodynamics Child, Preschool Cardiac Surgical Procedures Child Blood Urea Nitrogen Intensive Care Units, Pediatric Water-Electrolyte Balance Aminophylline
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Exploring Heterogeneity in the Cost-Effectiveness of High-Flow Nasal Cannula Therapy in Acutely Ill Children-Insights From the Step-Up First-line Support for Assistance in Breathing in Children Trial Using a Machine Learning Method.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research Sep 28, 2024
OBJECTIVES: To investigate heterogeneity in the cost-effectiveness of high-flow nasal cannula (HFNC) therapy compared with continuous positive airway pressure (CPAP) for acutely ill children requiring noninvasive respiratory support.
Continuous Positive Airway Pressure Equivalence Trials as Topic Cannula Child Intensive Care Units, Pediatric Multicenter Studies as Topic Randomized Controlled Trials as Topic Acute Disease Cost-Benefit Analysis Quality-Adjusted Life Years United Kingdom Oxygen Inhalation Therapy Infant, Newborn Male Infant Adolescent Child, Preschool Humans Machine Learning Female
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From bytes to bedside: a systematic review on the use and readiness of artificial intelligence in the neonatal and pediatric intensive care unit.

Intensive care medicine Sep 12, 2024
PURPOSE: Despite its promise to enhance patient outcomes and support clinical decision making, clinical use of artificial intelligence (AI) models at the bedside remains limited. Translation of advancements in AI research into tangible clinical benef...
Artificial Intelligence Critical Illness Infant, Newborn Child Intensive Care Units, Pediatric Humans Intensive Care Units, Neonatal
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Exploring Heterogeneity in Cost-Effectiveness Using Machine Learning Methods: A Case Study Using the FIRST-ABC Trial.

Medical care Jun 7, 2024
OBJECTIVE: The aim of this study was to explore heterogeneity in the cost-effectiveness of high-flow nasal cannula (HFNC) therapy compared with continuous positive airway pressure (CPAP) in children following extubation.
Male Cannula Infant Humans Child, Preschool Cost-Benefit Analysis Machine Learning Child Quality-Adjusted Life Years Female Intensive Care Units, Pediatric United Kingdom Oxygen Inhalation Therapy Continuous Positive Airway Pressure
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Improved pediatric ICU mortality prediction for respiratory diseases: machine learning and data subdivision insights.

Respiratory research May 23, 2024
The growing concern of pediatric mortality demands heightened preparedness in clinical settings, especially within intensive care units (ICUs). As respiratory-related admissions account for a substantial portion of pediatric illnesses, there is a pre...
Respiratory Tract Diseases Child, Preschool Child Hospital Mortality Intensive Care Units, Pediatric Predictive Value of Tests Infant, Newborn Male Humans Infant Adolescent Machine Learning Databases, Factual Female
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Establishment and Verification of an Artificial Intelligence Prediction Model for Children With Sepsis.

The Pediatric infectious disease journal May 8, 2024
BACKGROUND: Early identification of high-risk groups of children with sepsis is beneficial to reduce sepsis mortality. This article used artificial intelligence (AI) technology to predict the risk of death effectively and quickly in children with sep...
Humans Neural Networks, Computer Artificial Intelligence Intensive Care Units, Pediatric Retrospective Studies Sepsis Support Vector Machine Female Adolescent Infant, Newborn Child, Preschool Male Child Infant
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A machine learning model for the early diagnosis of bloodstream infection in patients admitted to the pediatric intensive care unit.

PloS one May 1, 2024
Bloodstream infection (BSI) is associated with increased morbidity and mortality in the pediatric intensive care unit (PICU) and high healthcare costs. Early detection and appropriate treatment of BSI may improve patient's outcome. Data on machine-le...
Infant, Newborn Male Early Diagnosis Humans Infant Machine Learning Sepsis Retrospective Studies Child, Preschool Adolescent Female Child Intensive Care Units, Pediatric Bacteremia
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