Shock, Septic

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[Constructing a predictive model for the death risk of patients with septic shock based on supervised machine learning algorithms].

Zhonghua wei zhong bing ji jiu yi xue Apr 1, 2024
OBJECTIVE: To construct and validate the best predictive model for 28-day death risk in patients with septic shock based on different supervised machine learning algorithms.
Prognosis Intensive Care Units Female Humans Machine Learning Algorithms Support Vector Machine Decision Trees Supervised Machine Learning Male Middle Aged Shock, Septic
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A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock: Development, Implementation, and Impact on Clinical Practice.

Critical care medicine Nov 1, 2019
OBJECTIVES: Develop and implement a machine learning algorithm to predict severe sepsis and septic shock and evaluate the impact on clinical practice and patient outcomes.
Cohort Studies Decision Support Systems, Clinical Shock, Septic Sensitivity and Specificity Diagnosis, Computer-Assisted Sepsis Text Messaging Hospitals, Teaching Humans Machine Learning Algorithms Retrospective Studies Electronic Health Records
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Clinician Perception of a Machine Learning-Based Early Warning System Designed to Predict Severe Sepsis and Septic Shock.

Critical care medicine Nov 1, 2019
OBJECTIVE: To assess clinician perceptions of a machine learning-based early warning system to predict severe sepsis and septic shock (Early Warning System 2.0).
Machine Learning Algorithms Prospective Studies Humans Practice Patterns, Physicians' Sepsis Electronic Health Records Medical Staff, Hospital Text Messaging Decision Support Systems, Clinical Diagnosis, Computer-Assisted Nursing Staff, Hospital Practice Patterns, Nurses' Attitude of Health Personnel Shock, Septic Hospitals, Teaching
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[Improvement effect of early goal-directed therapy on the prognosis in patients with septic shock].

Zhonghua wei zhong bing ji jiu yi xue Nov 1, 2015
OBJECTIVE: To evaluate the effect of the early goal-directed therapy (EGDT) on mortality in patients with septic shock, and to analyze the risk factors of mortality.
(1)
Resuscitation Risk Factors Blood Gas Analysis Shock, Septic Central Venous Pressure Retrospective Studies Humans Respiratory Distress Syndrome Oximetry Acute Kidney Injury Prognosis Fluid Therapy Intensive Care Units Arterial Pressure Lactic Acid
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[Effect of esmolol on fluid responsiveness and hemodynamic parameters in patients with septic shock].

Zhonghua wei zhong bing ji jiu yi xue Nov 1, 2015
OBJECTIVE: To study the effects of esmolol on fluid responsiveness and hemodynamic parameters in patients with septic shock.
(2)
Cardiac Output Extravascular Lung Water Central Venous Pressure Propanolamines Humans Fluid Therapy Heart Rate Male Respiration, Artificial Prospective Studies Female Arterial Pressure Stroke Volume Hemodynamics Middle Aged Aged Shock, Septic Aged, 80 and over
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[Esmolol improves clinical outcome and tissue oxygen metabolism in patients with septic shock through controlling heart rate].

Zhonghua wei zhong bing ji jiu yi xue Sep 1, 2015
OBJECTIVE: To investigate whether esmolol could improve clinical outcome and tissue oxygen metabolism by controlling heart rate (HR) in patients with septic shock.
Humans Prospective Studies Norepinephrine Heart Rate Arterial Pressure Central Venous Pressure Oximetry Length of Stay Propanolamines Shock, Septic Intensive Care Units Oxygen Stroke Volume Hemodynamics
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Vasopressin and its copilot copeptin in sepsis and septic shock.

Critical care medicine Feb 1, 2009
(3)
Vasopressins Arginine Vasopressin Glycopeptides Clinical Trials as Topic Humans Sepsis Shock, Septic
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