AIMC Topic: Shock, Cardiogenic

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Renal Dysfunction Across the Spectrum of Cardiogenic Shock: Mechanisms, Clinical Implications, and Therapeutic Strategies.

Current heart failure reports Jun 25, 2025
PURPOSE OF REVIEW: This review aims to elucidate the complex interplay between cardiogenic shock (CS) and renal function, detailing the mechanisms of kidney injury, identifying risk factors, and providing a framework for the diagnosis and management ...
Renal Replacement Therapy Acute Kidney Injury Risk Factors Shock, Cardiogenic Humans Prognosis
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Comparison of machine learning and nomogram to predict 30-day in-hospital mortality in patients with acute myocardial infarction combined with cardiogenic shock: a retrospective study based on the eICU-CRD and MIMIC-IV databases.

BMC cardiovascular disorders Mar 19, 2025
BACKGROUND: To evaluate the predictive utility of machine learning and nomogram in predicting in-hospital mortality in patients with acute myocardial infarction complicated by cardiogenic shock (AMI-CS), and to visualize the model results in order to...
Hospital Mortality Nomograms Predictive Value of Tests Myocardial Infarction Middle Aged Risk Assessment Time Factors Shock, Cardiogenic Prognosis Retrospective Studies Female Reproducibility of Results Risk Factors Aged Male Humans Machine Learning Decision Support Techniques Databases, Factual
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Cardiogenic Shock Update: New Trials, Evolving Management Paradigms, and Artificial Intelligence.

Journal of cardiothoracic and vascular anesthesia Jun 12, 2024
Shock, Cardiogenic Humans Artificial Intelligence Disease Management Clinical Trials as Topic
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Identification of distinct clinical phenotypes of cardiogenic shock using machine learning consensus clustering approach.

BMC cardiovascular disorders Aug 29, 2023
BACKGROUND: Cardiogenic shock (CS) is a complex state with many underlying causes and associated outcomes. It is still difficult to differentiate between various CS phenotypes. We investigated if the CS phenotypes with distinctive clinical profiles a...
Cluster Analysis Unsupervised Machine Learning Shock, Cardiogenic Humans Machine Learning Consensus
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Lactate levels as a prognostic predict in cardiogenic shock under venoarterial extracorporeal membrane oxygenation support.

Revista espanola de cardiologia (English ed.) Nov 19, 2021
INTRODUCTION AND OBJECTIVES: Lactate and its evolution are associated with the prognosis of patients in shock, although there is little evidence in those assisted with an extracorporeal venoarterial oxygenation membrane (VA-ECMO). Our objective was t...
Extracorporeal Membrane Oxygenation Lactic Acid Shock, Cardiogenic Humans Prognosis Retrospective Studies
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Predicting Survival After Extracorporeal Membrane Oxygenation by Using Machine Learning.

The Annals of thoracic surgery May 23, 2020
BACKGROUND: Venoarterial (VA) extracorporeal membrane oxygenation (ECMO) undoubtedly saves many lives, but it is associated with a high degree of patient morbidity, mortality, and resource use. This study aimed to develop a machine learning algorithm...
Female Aged Survival Rate Male Middle Aged Hospital Mortality ROC Curve Humans Machine Learning Prognosis Retrospective Studies Shock, Cardiogenic Follow-Up Studies Extracorporeal Membrane Oxygenation New York
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Predicting Hemodynamic Shock from Thermal Images using Machine Learning.

Scientific reports Jan 14, 2019
Proactive detection of hemodynamic shock can prevent organ failure and save lives. Thermal imaging is a non-invasive, non-contact modality to capture body surface temperature with the potential to reveal underlying perfusion disturbance in shock. In ...
Optical Imaging Shock, Cardiogenic Thermometry Humans Machine Learning Male Infant Adolescent Child, Preschool Child Longitudinal Studies Models, Statistical Blood Pressure Heart Rate
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Comparison of different AI systems for diagnosing sepsis, septic shock, and cardiogenic shock: a retrospective study.

Scientific reports May 6, 2025
Sepsis, septic shock, and cardiogenic shock are life-threatening conditions associated with high mortality rates, but differentiating them is complex because they share certain symptoms. Using the Medical Information Mart for Intensive Care (MIMIC)-I...
Aged Adult Male Middle Aged Artificial Intelligence Retrospective Studies Female Shock, Cardiogenic Sepsis Shock, Septic Bayes Theorem Humans Neural Networks, Computer
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Development and external validation of a dynamic risk score for early prediction of cardiogenic shock in cardiac intensive care units using machine learning.

European heart journal. Acute cardiovascular care Jun 30, 2024
AIMS: Myocardial infarction and heart failure are major cardiovascular diseases that affect millions of people in the USA with morbidity and mortality being highest among patients who develop cardiogenic shock. Early recognition of cardiogenic shock ...
Retrospective Studies Intensive Care Units Female Risk Factors Humans Machine Learning Risk Assessment Hospital Mortality ROC Curve Myocardial Infarction Aged Male Middle Aged Early Diagnosis Coronary Care Units Shock, Cardiogenic
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[Effects and risks of hypothermia during blood purification in the treatment of postoperative cardiogenic shock in valvular heart diseases].

Zhonghua wei zhong bing ji jiu yi xue Dec 1, 2015
OBJECTIVE: To implement hypothermia during blood purification to investigate its effect and risk in the treatment of postoperative cardiogenic shock in valvular heart disease.
APACHE Postoperative Period Hypothermia, Induced Hemofiltration Shock, Cardiogenic Intensive Care Units Respiration, Artificial Length of Stay Heart Valve Diseases Humans Prospective Studies Prognosis
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