AIMC Topic: Acute Coronary Syndrome

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Machine learning-based prediction of adverse events following an acute coronary syndrome (PRAISE): a modelling study of pooled datasets.

Lancet (London, England) Jan 16, 2021
BACKGROUND: The accuracy of current prediction tools for ischaemic and bleeding events after an acute coronary syndrome (ACS) remains insufficient for individualised patient management strategies. We developed a machine learning-based risk stratifica...
Humans Machine Learning Postoperative Complications Hemorrhage Acute Coronary Syndrome Clinical Decision-Making Datasets as Topic Female Mortality Adult Male
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Treatment of individual predictors with neural network algorithms improves Global Registry of Acute Coronary Events score discrimination.

Archivos de cardiologia de Mexico Jan 1, 2021
OBJECTIVE: The aim of this study was to develop, train, and test different neural network (NN) algorithm-based models to improve the Global Registry of Acute Coronary Events (GRACE) score performance to predict in-hospital mortality after an acute co...
Humans Registries Neural Networks, Computer Acute Coronary Syndrome Algorithms Databases, Factual Prognosis Female Aged Male Middle Aged Hospital Mortality
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Concerns for management of STEMI patients in the COVID-19 era: a paradox phenomenon.

Journal of thrombosis and thrombolysis Nov 1, 2020
The pandemic of coronavirus disease 2019 (COVID-19) has become a public health emergency of international concern. During this time, the management of people with acute coronary syndromes (ACS) and COVID-19 has become a global issue, especially since...
Risk Factors Infection Control Occupational Exposure Treatment Outcome Humans Pandemics COVID-19 Infectious Disease Transmission, Patient-to-Professional Coronavirus Infections Personal Protective Equipment Robotics Acute Coronary Syndrome Thrombolytic Therapy Motor Activity ST Elevation Myocardial Infarction Pneumonia, Viral Percutaneous Coronary Intervention
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Machine learning versus traditional risk stratification methods in acute coronary syndrome: a pooled randomized clinical trial analysis.

Journal of thrombosis and thrombolysis Jan 1, 2020
Traditional statistical models allow population based inferences and comparisons. Machine learning (ML) explores datasets to develop algorithms that do not assume linear relationships between variables and outcomes and that may account for higher ord...
Randomized Controlled Trials as Topic Fibrinolytic Agents Hemorrhage Acute Coronary Syndrome Aged Male Middle Aged Risk Assessment Models, Cardiovascular Humans Machine Learning Female
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Proton pump inhibitors receiving and prognosis of patients after scheduled percutaneous coronary interventions.

Terapevticheskii arkhiv Sep 20, 2018
AIM: The urgency of the study is determined by the lack of data necessary in order to assess the safety of prolonged use of proton pump inhibitors (PPI) in patients with IHD combined with anti-aggregant therapy. The aim of the study was to study the ...
Platelet Aggregation Inhibitors Proton Pump Inhibitors Percutaneous Coronary Intervention Risk Adjustment Coronary Restenosis Gastrointestinal Hemorrhage Humans Aged Acute Coronary Syndrome Prospective Studies Male Russia Drug Therapy, Combination Prognosis Middle Aged Long Term Adverse Effects Female Registries Myocardial Ischemia
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Machine learning for prediction of 30-day mortality after ST elevation myocardial infraction: An Acute Coronary Syndrome Israeli Survey data mining study.

International journal of cardiology Nov 1, 2017
BACKGROUND: Risk scores for prediction of mortality 30-days following a ST-segment elevation myocardial infarction (STEMI) have been developed using a conventional statistical approach.
ST Elevation Myocardial Infarction Registries Data Mining Israel Acute Coronary Syndrome Humans Machine Learning Risk Assessment Surveys and Questionnaires Hospital Mortality ROC Curve Aged Survival Rate Male Middle Aged Retrospective Studies Algorithms Female Prognosis Risk Factors
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Acute Coronary Syndrome Risk Prediction Based on GRACE Risk Score.

Studies in health technology and informatics Jan 1, 2017
Clinical risk prediction of acute coronary syndrome (ACS) plays a critical role for clinical decision support, treatment management and quality of care assessment in ACS patients. Admission records contain a wealth of patient information in the early...
Algorithms Prognosis Risk Factors Risk Assessment Hospitalization Acute Coronary Syndrome Humans
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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...
Haplotypes Acute Coronary Syndrome Coronary Vessels Gene Frequency Peptidyl-Dipeptidase A Nitric Oxide Synthase Type III INDEL Mutation Polymorphism, Single Nucleotide Gene Expression Myocardial Infarction Alleles Adult Male Middle Aged Case-Control Studies Female Risk Factors Humans Aged Prospective Studies Aged, 80 and over
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EFFECTS OF PREOPERATIVE ENOXAPARIN ON BLEEDING AFTER CORONARY ARTERY BYPASS SURGERY.

Le Journal medical libanais. The Lebanese medical journal Jan 1, 2015
BACKGROUND: Low molecular weight heparins are replacing unfractionated heparin in practice prior to cardiac surgery. This study examines postoperative (post-op) bleeding indicators in patients who received enoxaparin and underwent elective isolated f...
Humans Preoperative Period Coronary Artery Bypass Anticoagulants Retrospective Studies Postoperative Hemorrhage Enoxaparin Female Acute Coronary Syndrome Aged Male
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