AIMC Topic: Creatinine

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Early Prediction of Acute Kidney Injury in the Emergency Department With Machine-Learning Methods Applied to Electronic Health Record Data.

Annals of emergency medicine Jul 24, 2020
STUDY OBJECTIVE: Acute kidney injury occurs commonly and is a leading cause of prolonged hospitalization, development and progression of chronic kidney disease, and death. Early acute kidney injury treatment can improve outcomes. However, current dec...
Humans Machine Learning Retrospective Studies Acute Kidney Injury Male Middle Aged Adolescent Emergency Service, Hospital Creatinine Clinical Decision Rules Electronic Health Records Female Aged Aged, 80 and over Adult Cross-Sectional Studies
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Pulmonary Embolism in Acute Asthma Exacerbation: Clinical Characteristics, Prediction Model and Hospital Outcomes.

Lung May 18, 2020
PURPOSE: Little is known about the characteristics and impact of acute pulmonary embolism (PE) during episodes of asthma exacerbation. We aimed to characterize patients diagnosed with acute PE in the setting of asthma exacerbation, develop a predicti...
Computed Tomography Angiography Clinical Decision Rules Creatinine Hospitals, University Heart Rate Natriuretic Peptide, Brain Fibrin Fibrinogen Degradation Products Humans Case-Control Studies Machine Learning Asthma Length of Stay Intensive Care Units Body Mass Index Male Female Oxygen Middle Aged Aged International Normalized Ratio Disease Progression Adult Pulmonary Embolism Comorbidity
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Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone.

BMC medical informatics and decision making Feb 3, 2020
BACKGROUND: Cardiovascular diseases kill approximately 17 million people globally every year, and they mainly exhibit as myocardial infarctions and heart failures. Heart failure (HF) occurs when the heart cannot pump enough blood to meet the needs of...
Female Risk Factors Aged Aged, 80 and over Adult Male Humans Machine Learning Algorithms Forecasting Databases, Factual Electronic Health Records Stroke Volume Middle Aged Creatinine Heart Failure Survival Analysis
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Early Recognition of Burn- and Trauma-Related Acute Kidney Injury: A Pilot Comparison of Machine Learning Techniques.

Scientific reports Jan 14, 2020
Severely burned and non-burned trauma patients are at risk for acute kidney injury (AKI). The study objective was to assess the theoretical performance of artificial intelligence (AI)/machine learning (ML) algorithms to augment AKI recognition using ...
Peptide Fragments Lipocalin-2 Burns Creatinine Natriuretic Peptide, Brain Wounds and Injuries Adult Male Pilot Projects Kidney Function Tests Acute-Phase Proteins Humans Artificial Intelligence Machine Learning Algorithms Biomarkers Acute Kidney Injury Female
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Machine learning distilled metabolite biomarkers for early stage renal injury.

Metabolomics : Official journal of the Metabolomic Society Dec 5, 2019
INTRODUCTION: With chronic kidney disease (CKD), kidney becomes damaged overtime and fails to clean blood. Around 15% of US adults have CKD and nine in ten adults with CKD do not know they have it.
Glomerular Filtration Rate Mass Spectrometry Creatinine Chromatography, High Pressure Liquid Adult Male Middle Aged Severity of Illness Index Case-Control Studies Renal Insufficiency, Chronic Humans Machine Learning Biomarkers Female Aged
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EXTraction of EMR numerical data: an efficient and generalizable tool to EXTEND clinical research.

BMC medical informatics and decision making Nov 15, 2019
BACKGROUND: Electronic medical records (EMR) contain numerical data important for clinical outcomes research, such as vital signs and cardiac ejection fractions (EF), which tend to be embedded in narrative clinical notes. In current practice, this da...
Humans Algorithms Electronic Health Records Sensitivity and Specificity Stroke Volume Natural Language Processing Glycated Hemoglobin Creatinine Information Storage and Retrieval Vital Signs
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[Renal graft survival in patients transplanted from organs of deceased donors].

Revista medica del Instituto Mexicano del Seguro Social Jul 1, 2019
BACKGROUND: In Mexico, out of the total number of transplants it was reported, in 2014, a frequency of 29% of deceased donor renal transplantation (DDRT). The use of kidneys from deceased elderly donors is increasing over the years. Currently, some a...
Tissue Donors Graft Survival Glomerular Filtration Rate Creatinine Cadaver Young Adult Adult Male Middle Aged Postoperative Complications Time Factors Humans Kidney Transplantation Retrospective Studies Female Aged
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Artificial intelligence and machine learning for predicting acute kidney injury in severely burned patients: A proof of concept.

Burns : journal of the International Society for Burn Injuries Jun 21, 2019
BACKGROUND: Burn critical care represents a high impact population that may benefit from artificial intelligence and machine learning (ML). Acute kidney injury (AKI) recognition in burn patients could be enhanced by ML. The goal of this study was to ...
Humans Artificial Intelligence Machine Learning Urine Middle Aged Proof of Concept Study Acute Kidney Injury Peptide Fragments Female Lipocalin-2 Young Adult Burns Adult Creatinine Male Natriuretic Peptide, Brain
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Machine Learning-based Development and Validation of a Scoring System for Screening High-Risk Esophageal Varices.

Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association Jan 29, 2019
BACKGROUND & AIMS: Many patients with cirrhosis who undergo esophagogastroduodenoscopy (EGD) screening for esophageal varices (EVs) are found to have no or only small EVs. Endoscopic screening for EVs is therefore a potentially deferrable procedure t...
Endoscopy, Digestive System Thrombocytopenia International Normalized Ratio Esophageal and Gastric Varices Ascites Humans Bilirubin Middle Aged Creatinine Sodium Machine Learning Risk Assessment Non-alcoholic Fatty Liver Disease Liver Cirrhosis, Alcoholic Prospective Studies Platelet Count Severity of Illness Index Gastrointestinal Hemorrhage Hemoglobins Female Hepatitis C, Chronic Liver Cirrhosis Hepatic Encephalopathy Aged Mass Screening Alanine Transaminase Serum Albumin Male Aspartate Aminotransferases Blood Urea Nitrogen
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A clinical, proteomics, and artificial intelligence-driven model to predict acute kidney injury in patients undergoing coronary angiography.

Clinical cardiology Jan 8, 2019
BACKGROUND: Standard measures of kidney function are only modestly useful for accurate prediction of risk for acute kidney injury (AKI).
Incidence ROC Curve Proteomics Contrast Media Predictive Value of Tests Coronary Angiography Coronary Artery Disease Creatinine Biomarkers Acute Kidney Injury Female Aged Male Risk Assessment Humans Artificial Intelligence Prospective Studies
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