AIMC Topic: Shock

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CLEAR-Shock: Contrastive LEARning for Shock.

IEEE journal of biomedical and health informatics May 6, 2025
Shock is a life-threatening condition characterized by generalized circulatory failure, which can have devastating consequences if not promptly treated. Thus, early prediction and continuous monitoring of physiological signs are essential for timely ...
Shock Machine Learning Prognosis Monitoring, Physiologic Humans Signal Processing, Computer-Assisted
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Low-soluble TREM-like transcript-1 levels early after severe burn reflect increased coagulation disorders and predict 30-day mortality.

Burns : journal of the International Society for Burn Injuries Dec 15, 2020
BACKGROUND: Patients with severe burns often show systemic coagulation changes in the early stage and even develop extensive coagulopathy. Previous studies have confirmed that soluble TREM-like transcript-1 (sTLT-1) mediates a novel mechanism of haem...
Burns Humans Blood Coagulation Disorders Prospective Studies Receptors, Immunologic Biomarkers Shock Anticoagulants
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Development of a Deep Learning Network to Classify Inferior Vena Cava Collapse to Predict Fluid Responsiveness.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Oct 10, 2020
OBJECTIVES: To create a deep learning algorithm capable of video classification, using a long short-term memory (LSTM) network, to analyze collapsibility of the inferior vena cava (IVC) to predict fluid responsiveness in critically ill patients.
Humans Prospective Studies Deep Learning Fluid Therapy Shock Vena Cava, Inferior
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Early prediction of circulatory failure in the intensive care unit using machine learning.

Nature medicine Mar 9, 2020
Intensive-care clinicians are presented with large quantities of measurements from multiple monitoring systems. The limited ability of humans to process complex information hinders early recognition of patient deterioration, and high numbers of monit...
Humans Shock Databases as Topic Risk Factors Cohort Studies Time Factors ROC Curve Models, Theoretical Machine Learning Prognosis Intensive Care Units Reproducibility of Results
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Refractory collapse and severe burn: Think about acute adrenal insufficiency.

The American journal of emergency medicine Dec 29, 2017
INTRODUCTION: Adrenal insufficiency (AI) is a rare endocrine disorder, which can in its acute form be life-threatening in case of late diagnosis or treatment. The stress during a thermal burn can easily decompensate the AI. We report the case of an a...
Humans Female Burns Norepinephrine Hydrocortisone Middle Aged Vasoconstrictor Agents Hemodynamics Shock Adrenal Insufficiency Emergency Service, Hospital
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Impairment of Thyroid Function in Critically Ill Patients in the Intensive Care Units.

The American journal of the medical sciences Jul 1, 2017
Unexplained hypotension in the intensive care unit is commonly attributed to volume depletion, cardiorespiratory failure, sepsis, or relative adrenal insufficiency. In these acute conditions, thyroid hormone levels measured in blood, serum or plasma ...
Vasoconstrictor Agents Respiratory Insufficiency Shock Thyrotropin Thyroid Function Tests Thyroxine Hypotension Humans Critical Illness Intensive Care Units Aged Female Male Middle Aged Respiration, Artificial Hypothyroidism
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A novel mathematical model to predict prognosis of burnt patients based on logistic regression and support vector machine.

Burns : journal of the International Society for Burn Injuries Jan 13, 2016
OBJECTIVE: To develop a mathematical model of predicting mortality based on the admission characteristics of 6220 burn cases.
Child, Preschool Child ROC Curve Logistic Models Models, Theoretical Adult Middle Aged Infant Adolescent Multivariate Analysis Body Surface Area Smoke Inhalation Injury Trauma Severity Indices Support Vector Machine Principal Component Analysis Burns Shock Humans Prognosis Infant, Newborn Aged Young Adult
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The impact of paracentesis flow rate in patients with liver cirrhosis on the development of paracentesis induced circulatory dysfunction.

Clinical and molecular hepatology Dec 24, 2015
BACKGROUND/AIMS: Ascites is a dreadful complication of liver cirrhosis associated with short survival. Large volume paracentesis (LVP) is used to treat tense or refractory ascites. Paracentesis induced circulatory dysfunction (PICD) develops if no pl...
Blood Pressure International Normalized Ratio Renin Creatinine Sex Factors Shock Paracentesis Arteries Male Middle Aged Logistic Models Enzyme-Linked Immunosorbent Assay Liver Cirrhosis Humans Female Aged Adult
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Prediction of in-hospital mortality after ruptured abdominal aortic aneurysm repair using an artificial neural network.

Journal of vascular surgery May 5, 2015
OBJECTIVE: Ruptured abdominal aortic aneurysm (rAAA) carries a high mortality rate, even with prompt transfer to a medical center. An artificial neural network (ANN) is a computational model that improves predictive ability through pattern recognitio...
Tennessee Heart Arrest Unconsciousness Aortic Rupture Humans Multivariate Analysis Odds Ratio Blood Vessel Prosthesis Implantation Endovascular Procedures Predictive Value of Tests Male Aortic Aneurysm, Abdominal Middle Aged Retrospective Studies Area Under Curve Risk Assessment Neural Networks, Computer Female Shock Time Factors Algorithms Hospital Mortality Risk Factors Decision Support Techniques ROC Curve Aged Databases, Factual Logistic Models Aged, 80 and over Treatment Outcome Age Factors
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MACHINE LEARNING AND SHOCK INDICES-DERIVED SCORE FOR PREDICTING CONTRAST-INDUCED NEPHROPATHY IN ACUTE CORONARY SYNDROME PATIENTS.

Shock (Augusta, Ga.) Jul 1, 2025
Background: Contrast-induced nephropathy (CIN) is a serious complication following acute coronary syndrome (ACS), leading to increased morbidity and mortality. Machine learning (ML), combined with parameters such as shock indices, can potentially imp...
Humans Machine Learning Retrospective Studies Female Contrast Media Kidney Diseases Percutaneous Coronary Intervention Shock Acute Coronary Syndrome Aged Male Middle Aged Case-Control Studies
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