AIMC Topic: Sepsis

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Optimal intensive care outcome prediction over time using machine learning.

PloS one Nov 14, 2018
BACKGROUND: Prognostication is an essential tool for risk adjustment and decision making in the intensive care unit (ICU). Research into prognostication in ICU has so far been limited to data from admission or the first 24 hours. Most ICU admissions ...
Patient Admission Humans Logistic Models Machine Learning Feasibility Studies Prognosis Middle Aged Critical Care Retrospective Studies Risk Assessment Intensive Care Units Datasets as Topic Sepsis Clinical Decision-Making APACHE Female Aged Male Hospital Mortality ROC Curve Decision Support Systems, Clinical
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Applying machine learning to continuously monitored physiological data.

Journal of clinical monitoring and computing Nov 11, 2018
The use of machine learning (ML) in healthcare has enormous potential for improving disease detection, clinical decision support, and workflow efficiencies. In this commentary, we review published and potential applications for the use of ML for moni...
Databases, Factual Intensive Care Units Electronic Health Records Adult Respiration, Artificial Humans Machine Learning Software Sepsis Arrhythmias, Cardiac Algorithms Decision Support Systems, Clinical Atrial Fibrillation Monitoring, Physiologic Critical Care Expert Systems Randomized Controlled Trials as Topic Wavelet Analysis Delirium Clinical Alarms
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The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care.

Nature medicine Oct 22, 2018
Sepsis is the third leading cause of death worldwide and the main cause of mortality in hospitals, but the best treatment strategy remains uncertain. In particular, evidence suggests that current practices in the administration of intravenous fluids ...
Administration, Intravenous Humans Artificial Intelligence Cohort Studies Software Female Vasoconstrictor Agents Clinical Decision-Making Male Critical Care Learning Sepsis
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A machine learning-based model for 1-year mortality prediction in patients admitted to an Intensive Care Unit with a diagnosis of sepsis.

Medicina intensiva Sep 20, 2018
INTRODUCTION: Sepsis is associated to a high mortality rate, and its severity must be evaluated quickly. The severity of illness scores used are intended to be applicable to all patient populations, and generally evaluate in-hospital mortality. Howev...
Algorithms Forecasting Retrospective Studies Critical Illness Intensive Care Units Female Humans Machine Learning Time Factors ROC Curve Models, Statistical Area Under Curve Registries Aged Male Middle Aged Severity of Illness Index Sepsis
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Comparison of the Abbott Architect BRAHMS and the Biomérieux Vidas BRAHMS Procalcitonin Assays.

The journal of applied laboratory medicine Sep 19, 2018
BACKGROUND: Procalcitonin (PCT) is a well-established marker for bacterial infection. Recently the US Food and Drug Administration approved the expanded use of this biomarker to guide clinical decisions for antibiotic treatment in patients with lower...
Respiratory Tract Infections Antimicrobial Stewardship Humans Procalcitonin Anti-Bacterial Agents Bacterial Infections Biomarkers Limit of Detection Clinical Decision-Making Luminescent Measurements Sepsis Immunoassay
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[Expert systems-urgently needed for early diagnosis of sepsis : Results of retrospective clinical validation of the expert system FLORIDA].

Medizinische Klinik, Intensivmedizin und Notfallmedizin Jul 5, 2018
The expert system FLORIDA (Fuzzy Logic Orientated Rule Interpreter for Diagnostic Applications) is equipped with a knowledge base applying linguistic rules of clinical experts according to the pathophysiologic conception of the sepsis-3 definition an...
Humans Prospective Studies Retrospective Studies Sepsis Expert Systems Early Diagnosis Florida
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Heparan Sulfate Induces Necroptosis in Murine Cardiomyocytes: A Medical- Approach Combining Experiments and Machine Learning.

Frontiers in immunology Mar 20, 2018
Life-threatening cardiomyopathy is a severe, but common, complication associated with severe trauma or sepsis. Several signaling pathways involved in apoptosis and necroptosis are linked to trauma- or sepsis-associated cardiomyopathy. However, the un...
Animals Sepsis Mice Signal Transduction Apoptosis Humans Wounds and Injuries Caspase 3 Machine Learning Cell Culture Techniques Cytochromes c Heparitin Sulfate Algorithms Necrosis Myocytes, Cardiac Receptor-Interacting Protein Serine-Threonine Kinases Cells, Cultured Cardiomyopathies
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Development and validation of a diagnostic model for early differentiation of sepsis and non-infectious SIRS in critically ill children - a data-driven approach using machine-learning algorithms.

BMC pediatrics Mar 15, 2018
BACKGROUND: Since early antimicrobial therapy is mandatory in septic patients, immediate diagnosis and distinction from non-infectious SIRS is essential but hampered by the similarity of symptoms between both entities. We aimed to develop a diagnosti...
Early Diagnosis Child, Preschool Child Systemic Inflammatory Response Syndrome Follow-Up Studies Diagnosis, Differential Algorithms Decision Support Techniques Prospective Studies Critical Illness Female Infant Sepsis Adolescent Infant, Newborn Reproducibility of Results Male Humans Machine Learning
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Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU.

BMJ open Jan 26, 2018
OBJECTIVES: We validate a machine learning-based sepsis-prediction algorithm () for the detection and prediction of three sepsis-related gold standards, using only six vital signs. We evaluate robustness to missing data, customisation to site-specifi...
San Francisco Female Boston Aged Patients' Rooms ROC Curve Young Adult Shock, Septic Adult Algorithms Area Under Curve Male Databases, Factual Emergency Service, Hospital Middle Aged Prognosis Humans Vital Signs Severity of Illness Index Retrospective Studies Machine Learning Sepsis Length of Stay Intensive Care Units Adolescent Hospital Mortality
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R-100 improves pulmonary function and systemic fluid balance in sheep with combined smoke-inhalation injury and Pseudomonas aeruginosa sepsis.

Journal of translational medicine Dec 28, 2017
BACKGROUND: Septic shock is a major cause of death in intensive care units around the world . The aim of the study was to investigate whether the novel drug R-100 (a superoxide degradation catalyst and nitric oxide donor) improves pulmonary function ...
Pulmonary Gas Exchange Female Sheep Animals Respiratory Function Tests Lung Superoxides Hemodynamics Smoke Inhalation Injury Sepsis Nitric Oxide Donors Blood Proteins Body Fluids Pseudomonas aeruginosa
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