AIMC Topic: Myocardial Infarction

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Association of Multiorgan Computed Tomographic Phenomap With Adverse Cardiovascular Health Outcomes: The Framingham Heart Study.

JAMA cardiology Nov 1, 2017
IMPORTANCE: Increased ability to quantify anatomical phenotypes across multiple organs provides the opportunity to assess their cumulative ability to identify individuals at greatest susceptibility for adverse outcomes.
Muscle, Skeletal Unsupervised Machine Learning Adipose Tissue Principal Component Analysis Cause of Death Cohort Studies United States Longitudinal Studies Liver Phenotype Tomography, X-Ray Computed Female Aged Adult Male Cardiovascular Diseases Middle Aged Risk Assessment Intra-Abdominal Fat Humans Mortality Stroke Aorta Myocardial Infarction Coronary Vessels Vascular Calcification Proof of Concept Study Heart Valves
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Using Machine Learning Models to Predict In-Hospital Mortality for ST-Elevation Myocardial Infarction Patients.

Studies in health technology and informatics Jan 1, 2017
Acute myocardial infarction is a major cause of hospitalization and mortality in China, where ST-elevation myocardial infarction (STEMI) is more severe and has a higher mortality rate. Accurate and interpretable prediction of in-hospital mortality is...
Hospital Mortality Humans Machine Learning Bayes Theorem Forecasting Myocardial Infarction China
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[Development, identification and application of 33 monoclonal antibodies against cardiac troponin T].

Sheng wu gong cheng xue bao = Chinese journal of biotechnology Dec 25, 2016
The aim of this study is to prepare and characterize cardiac troponin T (cTnT) monoclonal antibodies (mAb), and further develop a chemiluminescence quantitative detection assay for cTnT. BALB/c mice were immunized with recombinant cTnT antigen, and s...
Sensitivity and Specificity Peptide Fragments Enzyme-Linked Immunosorbent Assay Humans Epitopes Antibodies, Monoclonal Myocardial Infarction Luminescent Measurements Troponin T Hybridomas
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Length of Hospital Stay Prediction at the Admission Stage for Cardiology Patients Using Artificial Neural Network.

Journal of healthcare engineering Jan 1, 2016
For hospitals' admission management, the ability to predict length of stay (LOS) as early as in the preadmission stage might be helpful to monitor the quality of inpatient care. This study is to develop artificial neural network (ANN) models to predi...
Young Adult Adult Male Middle Aged Length of Stay Humans Neural Networks, Computer Aged Aged, 80 and over Myocardial Infarction Heart Failure Patient Admission Treatment Outcome Taiwan Predictive Value of Tests Coronary Artery Disease
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[Effects of Exogenous Nerve Growth Factor on Late Reperfusion after Myocardial Infarction].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Dec 1, 2015
This study demonstrates that nerve growth factor (NGF) plays a protective role in myocardial infarction and early reperfusion by reducing the myocardial cell apoptosis and by improving ventricular remodeling and seeks to assess the effects and mechan...
Reperfusion Injury Myocardium Myocardial Infarction Echocardiography Nerve Growth Factor Animals Myocytes, Cardiac Rats Genetic Therapy Disease Models, Animal Adenoviridae Apoptosis
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[Comparison Study of Left Ventricular Function Assessment by 18F-FDG PET, Gated SPECT and 2D-Echocardiography in Patients with Myocardial Infarction].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Oct 1, 2015
The aim of this study is to analyze the concordance between EDV, ESV and LVEF values derived from 18F-FDG PET, GSPECT and ECHO in patients with myocardial infarction. Sixty-four patients with coronary artery disease (CAD) and myocardial infarction we...
Humans Ventricular Function, Left Myocardial Infarction Stroke Volume Positron-Emission Tomography Echocardiography Linear Models Regression Analysis Fluorodeoxyglucose F18 Coronary Artery Disease Tomography, Emission-Computed, Single-Photon
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[In vivo Pharmacokinetics of Notoginsenoside R1 in Ischemia Rats After Acute Myocardial Infarction].

Zhong yao cai = Zhongyaocai = Journal of Chinese medicinal materials Sep 1, 2015
OBJECTIVE: To establish an HPLC-UV method for determining pharmacokinetic difference of notoginsenoside R1 between normal rats and ischemic rats.
Animals Male Rats Rats, Sprague-Dawley Disease Models, Animal Myocardial Infarction Ginsenosides
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[GENES ALLELE STATUS OF ANGIOTENSINCONVERTING ENZYME (I/D) AND ENDOTHELIAL NITRIC OXIDE SYNTHASE (894 G > T) IN PATIENTS WITH ACUTE CORONARY SYNDROME].

Likars'ka sprava Jan 1, 2015
The association of genes polymorphism of angiotensin-converting enzyme ACE (I/D) and endothelial nitric oxide synthase eNOS (894 G > T) with acute myocardial infarction (MI) among residents of North Bukovina region was evaluated. II/GG and ID/GG hapl...
Aged Peptidyl-Dipeptidase A Aged, 80 and over Nitric Oxide Synthase Type III Adult INDEL Mutation Male Alleles Middle Aged Case-Control Studies Humans Haplotypes Polymorphism, Single Nucleotide Prospective Studies Acute Coronary Syndrome Gene Expression Female Coronary Vessels Myocardial Infarction Risk Factors Gene Frequency
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Vitamin D Deficiency in Patients with Acute Myocardial Infarction: An Italian Single-Center Study.

International journal for vitamin and nutrition research. Internationale Zeitschrift fur Vitamin- und Ernahrungsforschung. Journal international de vitaminologie et de nutrition Jan 1, 2015
BACKGROUND: Hypovitaminosis D is a vitamin deficiency that has been increasing in developed countries; it was also suggested as an emerging risk factor for developing of atherosclerosis and acute myocardial infarction. The primary source of vitamin D...
Age Factors Italy Myocardial Infarction Seasons Sex Factors Sunlight Middle Aged Body Mass Index Vitamin D Vitamin D Deficiency Female Risk Factors Aged Male Humans Prospective Studies
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Prediction of Heart Attack Risk Using GA-ANFIS Expert System Prototype.

Studies in health technology and informatics Jan 1, 2015
The aim of this research is to develop a novel GA-ANFIS expert system prototype for classifying heart disease degree of a patient by using heart diseases attributes (features) and diagnoses taken in the real conditions. Thirteen attributes have been ...
Decision Support Systems, Clinical Fuzzy Logic Myocardial Infarction Technology Assessment, Biomedical Expert Systems Algorithms Reproducibility of Results Sensitivity and Specificity Diagnosis, Computer-Assisted Humans Machine Learning Software
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