AIMC Topic: Water-Electrolyte Imbalance

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Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload prediction.

Pharmacotherapy Jan 3, 2025
BACKGROUND: Fluid overload (FO) in the intensive care unit (ICU) is common, serious, and may be preventable. Intravenous medications (including administered volume) are a primary cause for FO but are challenging to evaluate as a FO predictor given th...
Retrospective Studies Intensive Care Units Female Humans Machine Learning Cohort Studies Unsupervised Machine Learning Water-Electrolyte Imbalance Aged Male Middle Aged
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Beyond SEP-1 Compliance: Assessing the Impact of Antibiotic Overtreatment and Fluid Overload in Suspected Septic Patients.

The Journal of emergency medicine Sep 15, 2023
BACKGROUND: The Centers for Medicare and Medicaid Services (CMS) developed the Severe Sepsis and Septic Shock Performance Measure bundle (SEP-1) metric to improve sepsis care, but evidence supporting this bundle is limited and harms secondary to comp...
Sepsis Patient Care Bundles Emergency Service, Hospital United States Water-Electrolyte Imbalance Humans Retrospective Studies Pulmonary Edema Shock, Septic Anti-Bacterial Agents Reproducibility of Results Medicare Aged
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Artificial intelligence for detecting electrolyte imbalance using electrocardiography.

Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc Mar 15, 2021
INTRODUCTION: The detection and monitoring of electrolyte imbalance is essential for appropriate management of many metabolic diseases; however, there is no tool that detects such imbalances reliably and noninvasively. In this study, we developed a d...
Water-Electrolyte Imbalance Female Humans Middle Aged Reproducibility of Results Artificial Intelligence Cohort Studies Male Retrospective Studies Electrocardiography
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Vasopressin antagonist efficacy and safety in volume-overloaded critically ill patients: a new therapeutic alternative.

European journal of hospital pharmacy : science and practice Nov 10, 2018
OBJECTIVES: To assess tolvaptan's efficacy and safety in critical care patients with volume overload.
Tolvaptan Diuresis Diuretics Humans Prospective Studies Critical Illness Treatment Outcome Female Water-Electrolyte Imbalance Male Antidiuretic Hormone Receptor Antagonists Middle Aged
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Using support vector machines on photoplethysmographic signals to discriminate between hypovolemia and euvolemia.

PloS one Mar 29, 2018
Identifying trauma patients at risk of imminent hemorrhagic shock is a challenging task in intraoperative and battlefield settings given the variability of traditional vital signs, such as heart rate and blood pressure, and their inability to detect ...
Hypovolemia Blood Volume Female Water-Electrolyte Imbalance Case-Control Studies Humans Hemorrhage Adult Photoplethysmography Algorithms Wounds and Injuries Male Support Vector Machine
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Low Predictability of Readmissions and Death Using Machine Learning in Cirrhosis.

The American journal of gastroenterology Feb 1, 2021
INTRODUCTION: Readmission and death in cirrhosis are common, expensive, and difficult to predict. Our aim was to evaluate the abilities of multiple artificial intelligence (AI) techniques to predict clinical outcomes based on variables collected at a...
Proton Pump Inhibitors Infections Hepatic Encephalopathy Water-Electrolyte Imbalance Patient Readmission Gastrointestinal Hemorrhage beta-Lactams Adrenergic beta-Antagonists Clinical Decision Rules Paracentesis Mortality Lactulose Liver Cirrhosis Support Vector Machine Kidney Diseases Hydrothorax Ascites Gastrointestinal Agents Machine Learning Cohort Studies Anti-Bacterial Agents ROC Curve Female Humans Logistic Models End Stage Liver Disease Reproducibility of Results Rifaximin Aged Middle Aged Male Severity of Illness Index
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