Myocardial Infarction
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Last Posted: Jun 20, 2024
- CYP2C19 Genotype Is Associated With Adverse Cardiovascular Outcomes in Black Patients Treated With Clopidogrel Undergoing Percutaneous Coronary Intervention.
Kayla R Tunehag et al. J Am Heart Assoc 2024 e033791 - Development and validation of a machine learning-based readmission risk prediction model for non-ST elevation myocardial infarction patients after percutaneous coronary intervention.
Yanxu Liu et al. Sci Rep 2024 14(1) 13393 - Polygenic risk score adds to a clinical risk score in the prediction of cardiovascular disease in a clinical setting.
Nilesh J Samani et al. Eur Heart J 2024 - The potential of virtual triage AI to improve early detection, care acuity alignment, and emergent care referral of life-threatening conditions.
George A Gellert et al. Front Public Health 2024 121362246 - Development and validation of risk prediction model for recurrent cardiovascular events among Chinese: the Personalized CARdiovascular DIsease risk Assessment for Chinese model.
Yekai Zhou et al. Eur Heart J Digit Health 2024 5(3) 363-370 - Cardiovascular outcomes in patients with homozygous familial hypercholesterolaemia on lipoprotein apheresis initiated during childhood: long-term follow-up of an international cohort from two registries.
M Doortje Reijman et al. Lancet Child Adolesc Health 2024 - Physical performance strongly predicts all-cause mortality risk in a real-world population of older diabetic patients: machine learning approach for mortality risk stratification.
Alberto Montesanto et al. Front Endocrinol (Lausanne) 2024 151359482 - The use of artificial intelligence for predicting postinfarction myocardial viability in echocardiographic images.
Blazej Michalski et al. Cardiol J 2024 - Genome-wide association studies reveal differences in genetic susceptibility between single events vs. recurrent events of atrial fibrillation and myocardial infarction: the HUNT study.
Martina Hall et al. Front Cardiovasc Med 2024 111372107 - 1-Year Mortality Prediction through Artificial Intelligence Using Hemodynamic Trace Analysis among Patients with ST Elevation Myocardial Infarction.
Seyed Reza Razavi et al. Medicina (Kaunas) 2024 60(4) - Prevalence of elevated lipoprotein(a) in cardiac rehabilitation patients - results from a large-scale multicentre registry in Germany.
Christoph Altmann et al. Clin Res Cardiol 2024 - Machine learning to identify a composite indicator to predict cardiac death in ischemic heart disease.
Alessandro Pingitore et al. Int J Cardiol 2024 131981 - Using the Super Learner algorithm to predict risk of major adverse cardiovascular events after percutaneous coronary intervention in patients with myocardial infarction.
Xiang Zhu et al. BMC Med Res Methodol 2024 24(1) 59 - Novel Polygenic Risk Score and Established Clinical Risk Factors for Risk Estimation of Aortic Stenosis.
Aeron M Small et al. JAMA Cardiol 2024 2 - Sex Differences in Diagnosis, Treatment, and Cardiovascular Outcomes in Homozygous Familial Hypercholesterolemia.
Janneke W C M Mulder et al. JAMA Cardiol 2024 - Digital Health for Myocardial Infarction: Research Topics and Trends.
Melissa Pelly et al. Stud Health Technol Inform 2024 310429-433 - Machine Learning for Early Prediction of Major Adverse Cardiovascular Events After First Percutaneous Coronary Intervention in Patients With Acute Myocardial Infarction: Retrospective Cohort Study.
Pin Zhang et al. JMIR Form Res 2024 8e48487 - Prevalent Variants in the LDLR Gene Impair Responsiveness to Rosuvastatin among Family Members of Patients with Premature Myocardial Infarction.
Nguyen Trung Kien et al. J Pers Med 2023 13(12) - Application of machine learning algorithms to construct and validate a prediction model for coronary heart disease risk in patients with periodontitis: a population-based study.
Yicheng Wang et al. Front Cardiovasc Med 2023 101296405 - Identification and risk stratification of coronary disease by artificial intelligence-enabled ECG.
Samir Awasthi et al. EClinicalMedicine 2023 65102259 - Familial risk of vasospastic angina: a nationwide family study in Sweden.
Fabrizio Ricci et al. Open Heart 2023 10(2) - Single-lead ECG AI model with risk factors detects Atrial Fibrillation during Sinus Rhythm.
Stijn Dupulthys et al. Europace 2023 - Machine learning for predicting intrahospital mortality in ST-elevation myocardial infarction patients with type 2 diabetes mellitus.
Panke Chen et al. BMC Cardiovasc Disord 2023 23(1) 585 - Deep learning-based NT-proBNP prediction from the ECG for risk assessment in the community.
Meraj Neyazi et al. Clin Chem Lab Med 2023 - Familial hypercholesterolemia is related to cardiovascular disease, heart failure and atrial fibrillation. Results from a population-based study.
Hayato Tada et al. Eur J Clin Invest 2023 e14119 - Genetic and Nongenetic Components of Stroke Family History: A Population Study of Adopted and Nonadopted Individuals.
Ernst Mayerhofer et al. J Am Heart Assoc 2023 12(20) e031566 - Predicting Major Adverse Cardiovascular Events Following Carotid Endarterectomy Using Machine Learning.
Ben Li et al. J Am Heart Assoc 2023 e030508 - Predictive capacity of a genetic risk score for coronary artery disease in assessing recurrences and cardiovascular mortality among patients with myocardial infarction.
Luis Miguel Rincón et al. Front Cardiovasc Med 2023 101254066 - Comparison of machine-learning models for the prediction of 1-year adverse outcomes of patients undergoing primary percutaneous coronary intervention for acute ST-elevation myocardial infarction.
Saeed Tofighi et al. Clin Cardiol 2023 - A Systematic Review: Do the Use of Machine Learning, Deep Learning, and Artificial Intelligence Improve Patient Outcomes in Acute Myocardial Ischemia Compared to Clinician-Only Approaches?
Binay K Panjiyar et al. Cureus 2023 15(8) e43003 - Combinatorial Use of Machine Learning and Logistic Regression for Predicting Carotid Plaque Risk Among 5.4 Million Adults With Fatty Liver Disease Receiving Health Check-Ups: Population-Based Cross-Sectional Study.
Yuhan Deng et al. JMIR Public Health Surveill 2023 9e47095 - A foundation model for generalizable disease detection from retinal images.
Yukun Zhou et al. Nature 2023 - Explainable SHAP-XGBoost models for in-hospital mortality after myocardial infarction.
Constantine Tarabanis et al. Cardiovasc Digit Health J 2023 4(4) 126-132 - Screening for Lipid Disorders in Children and Adolescents: US Preventive Services Task Force Recommendation Statement.
et al. JAMA 2023 330(3) 253-260 - Lipid Disorders in Children and Adolescents: Screening
USPSTF recommendation, July 18, 2023 - Acute Myocardial Infarction in Patients with Hereditary Thrombophilia-A Focus on Factor V Leiden and Prothrombin G20210A.
Minerva Codruta Badescu et al. Life (Basel) 2023 13(6) - Genetic and non-genetic components of family history of stroke and heart disease: a population-based study among adopted and non-adopted individuals.
Ernst Mayerhofer et al. medRxiv 2023 - Machine learning for ECG diagnosis and risk stratification of occlusion myocardial infarction.
Salah S Al-Zaiti et al. Nat Med 2023 6 - Mendelian randomization evidence for the causal effects of socio-economic inequality on human longevity among Europeans.
Chao-Jie Ye et al. Nat Hum Behav 2023 - Assessing statins use in a real-world primary care digital strategy: a cross-sectional analysis of a population-wide digital health approach
MJM Carrion et al, Lancet Regional Health, June 22, 2023 - Cardiovascular disease (CVD) outcomes and associated risk factors in a medicare population without prior CVD history: an analysis using statistical and machine learning algorithms.
Gregory Yoke Hong Lip et al. Intern Emerg Med 2023 1-11 - Electrocardiogram-based deep learning algorithm for the screening of obstructive coronary artery disease.
Seong Huan Choi et al. BMC Cardiovasc Disord 2023 23(1) 287 - A novel breakthrough in wrist-worn transdermal troponin-I-sensor assessment for acute myocardial infarction.
Shantanu Sengupta et al. Eur Heart J Digit Health 2023 4(3) 145-154 - Coronary artery calcium among patients with heterozygous familial hypercholesterolaemia.
Hayato Tada et al. Eur Heart J Open 2023 3(3) oead046 - Machine learning for diagnosis of myocardial infarction using cardiac troponin concentrations.
Dimitrios Doudesis et al. Nat Med 2023 5 - Tumor Genomic Profile Is Associated With Arterial Thromboembolism Risk in Patients With Solid Cancer.
Stephanie Feldman et al. JACC CardioOncol 2023 5(2) 246-255 - Personalized diagnosis in suspected myocardial infarction.
Johannes Tobias Neumann et al. Clin Res Cardiol 2023 - Cardiovascular Disease Risk Assessment Using Traditional Risk Factors and Polygenic Risk Scores in the Million Veteran Program.
Jason L Vassy et al. JAMA Cardiol 2023 5 - Pompe disease ascertained through The Lantern Project, 2018-2021: Next-generation sequencing and enzymatic testing to overcome obstacles to diagnosis.
Lisa Sniderman King et al. Mol Genet Metab 139(1) 107565 - Machine learning prediction of mortality in Acute Myocardial Infarction.
Mariana Oliveira et al. BMC Med Inform Decis Mak 23(1) 70 - Stroke, Myocardial Infarction, and Pulmonary Embolism after Bivalent Booster.
Marie-Joelle Jabagi et al. N Engl J Med 2023 3 (15) 1431-1432 - Integrating multimodal information in machine learning for classifying acute myocardial infarction.
Ran Xiao et al. Physiological measurement 2023 - Assessing the performance of genetic risk score for stratifying risk of post-sepsis cardiovascular complications.
Brian McElligott et al. Frontiers in cardiovascular medicine 2023 101076745 - Artificial intelligence for secondary prevention of myocardial infarction: A qualitative study of patient and health professional perspectives.
Melissa Pelly et al. International journal of medical informatics 2023 173105041 - SERS spectroscopy with machine learning to analyze human plasma derived sEVs for coronary artery disease diagnosis and prognosis.
Xi Huang et al. Bioengineering & translational medicine 2023 8(2) e10420 - Association of Joint Genetic and Social Environmental Risks With Incident Myocardial Infarction: Results From the Health and Retirement Study.
Junhan Tang et al. Journal of the American Heart Association 2023 e028200 - Machine learning for prediction of bleeding in acute myocardial infarction patients after percutaneous coronary intervention.
Xueyan Zhao et al. Therapeutic advances in chronic disease 2023 1420406223231158561 - The artificial sweetener erythritol and cardiovascular event risk.
Marco Witkowski et al. Nature medicine 2023 2 - Life's Essential 8 and 10-Year and Lifetime Risk of Atherosclerotic Cardiovascular Disease in China.
Cheng Jin et al. American journal of preventive medicine 2023 - Social Determinants, Cardiovascular Disease, and Health Care Cost: A Nationwide Study in the United States Using Machine Learning.
Feinuo Sun et al. Journal of the American Heart Association 2023 e027919 - Burden of cardiovascular disease in a large contemporary cohort of patients with heterozygous familial hypercholesterolemia.
Ferrières Jean et al. Atherosclerosis plus 2023 5017-24 - Identification of Coronary Culprit Lesion in ST Elevation Myocardial Infarction by Using Deep Learning.
Tseng Li-Ming et al. IEEE journal of translational engineering in health and medicine 2023 1170-79 - An interpretable machine learning approach to estimate the influence of inflammation biomarkers on cardiovascular risk assessment.
Roseiro M et al. Computer methods and programs in biomedicine 2023 230107347 - Use of Family History of cardiovascular disease or chronic hypertension to better identify who needs postpartum cardiovascular risk screening.
Ackerman-Banks Christina M et al. American journal of obstetrics & gynecology MFM 2023 100850 - Predictive Utility of a Coronary Artery Disease Polygenic Risk Score in Primary Prevention.
Marston Nicholas A et al. JAMA cardiology 2022 - Qualitative and quantitative effects of PCSK9 inhibitors in familial hypercholesterolemia: a synthetic review.
Shakir Aamina et al. Current problems in cardiology 2022 101550 - Answering Clinical Questions Using Machine Learning: Should We Look at Diastolic Blood Pressure When Tailoring Blood Pressure Control?
Sinski Maciej et al. Journal of clinical medicine 2022 11(24) - Development of Prediction Models for Acute Myocardial Infarction at Prehospital Stage with Machine Learning Based on a Nationwide Database.
Choi Arom et al. Journal of cardiovascular development and disease 2022 9(12) - Machine learning-based marker for coronary artery disease: derivation and validation in two longitudinal cohorts.
Forrest Iain S et al. Lancet (London, England) 2022 - Personalized prediction of incident hospitalization for cardiovascular disease in patients with hypertension using machine learning.
Feng Yuanchao et al. BMC medical research methodology 2022 22(1) 325 - Prediction of incident cardiovascular events using machine learning and CMR radiomics.
Pujadas Esmeralda Ruiz et al. European radiology 2022 - Recurrence risk prediction of acute coronary syndrome per patient as a personalized ACS recurrence risk: a retrospective study.
Kong Vungsovanreach et al. PeerJ 2022 10e14348 - Equivalent Impact of Elevated Lipoprotein(a) and Familial Hypercholesterolemia in Patients With Atherosclerotic Cardiovascular Disease.
Hedegaard Berit Storgaard et al. Journal of the American College of Cardiology 2022 80(21) 1998-2010 - Comparison of conventional scoring systems to machine learning models for the prediction of major adverse cardiovascular events in patients undergoing coronary computed tomography angiography.
Ghorashi Seyyed Mojtaba et al. Frontiers in cardiovascular medicine 2022 9994483 - Implementation of an All-Day Artificial Intelligence-Based Triage System to Accelerate Door-to-Balloon Times.
Wang Yu-Chen et al. Mayo Clinic proceedings 2022 - The Impact of Time Horizon on Classification Accuracy: Application of Machine Learning to Prediction of Incident Coronary Heart Disease.
Simon Steven et al. JMIR cardio 2022 6(2) e38040 - Perioperative Management and Clinical Outcomes of Liver Transplantation for Children with Homozygous Familial Hypercholesterolemia.
Qiu Huan-Rong et al. Medicina (Kaunas, Lithuania) 2022 58(10) - A Machine Learning Model to Predict Cardiovascular Events during Exercise Evaluation in Patients with Coronary Heart Disease.
Shen Tao et al. Journal of clinical medicine 2022 11(20) - Individualising intensive systolic blood pressure reduction in hypertension using computational trial phenomaps and machine learning: a post-hoc analysis of randomised clinical trials.
Oikonomou Evangelos K et al. The Lancet. Digital health 2022 4(11) e796-e805 - Support vector machine deep mining of electronic medical records to predict the prognosis of severe acute myocardial infarction.
Zhou Xingyu et al. Frontiers in physiology 2022 13991990 - Familial Hypercholesterolemia Screening in Children and Adolescents in the United States: Where Are We Heading?
M Clyne et al, CDC Blog Post, October 14, 2022 - Artificial intelligence-enabled retinal vasculometry for prediction of circulatory mortality, myocardial infarction and stroke.
Rudnicka Alicja Regina et al. The British journal of ophthalmology 2022 - Prevalence of genetically defined familial hypercholesterolemia and the impact on acute myocardial infarction in Taiwanese population: A hospital-based study.
Chen Yen-Ju et al. Frontiers in cardiovascular medicine 2022 9994662 - Predicting acute kidney injury risk in acute myocardial infarction patients: An artificial intelligence model using medical information mart for intensive care databases.
Cai Dabei et al. Frontiers in cardiovascular medicine 2022 9964894 - From evidence-based medicine to digital twin technology for predicting ventricular tachycardia in ischaemic cardiomyopathy.
de Lepper Anouk G W et al. Journal of the Royal Society, Interface 2022 19(194) 20220317 - A Robustness Evaluation of Machine Learning Algorithms for ECG Myocardial Infarction Detection.
Sraitih Mohamed et al. Journal of clinical medicine 2022 11(17) - TERT and TET2 Genetic Variants Affect Leukocyte Telomere Length and Clinical Outcome in Coronary Artery Disease Patients-A Possible Link to Clonal Hematopoiesis.
Opstad Trine B et al. Biomedicines 2022 10(8) - Time-resolved trajectory of glucose lowering medications and cardiovascular outcomes in type 2 diabetes: a recurrent neural network analysis.
Longato Enrico et al. Cardiovascular diabetology 2022 21(1) 159 - Application Value of Remote ECG Monitoring in Early Diagnosis of PCI for Acute Myocardial Infarction.
Zhou Jian et al. BioMed research international 2022 20228552358 - Assessing the external validity of the SAFEHEART risk prediction model in patients with familial hypercholesterolaemia in an English routine care cohort.
McKay Ailsa J et al. Atherosclerosis 2022 - Pharmacogenetics-guided dalcetrapib therapy after an acute coronary syndrome: the dal-GenE trial.
Tardif Jean Claude et al. European heart journal 2022 - Artificial intelligence fully automated myocardial strain quantification for risk stratification following acute myocardial infarction.
Backhaus Sören J et al. Scientific reports 2022 12(1) 12220 - Association of Familial History of Diabetes, Hypertension, Dyslipidemia, Stroke, or Myocardial Infarction With Risk of Kawasaki Disease.
Kwak Ji Hee et al. Journal of the American Heart Association 2022 e023840 - Polymorphisms of LPA gene, rs1801693 and rs7765781, are not associated with premature myocardial infarction in the Iranian population.
Rahimi Mahsa et al. ARYA atherosclerosis 2022 17(5) 1-8 - Diagnostic Model of In-Hospital Mortality in Patients with Acute ST-Segment Elevation Myocardial Infarction Used Artificial Intelligence Methods.
Li Yong et al. Cardiology research and practice 2022 20228758617 - Usefullness of MicroRNAs in Predicting the Clinical Outcome of Patients with Acute Myocardial Infarction During Follow-Up: A Systematic Review.
Venugopal Priyanka et al. Genetic testing and molecular biomarkers 2022 26(5) 277-289 - Predicting the Prognosis of Patients in the Coronary Care Unit: A Novel Multi-Category Machine Learning Model Using XGBoost.
Wang Xingchen et al. Frontiers in cardiovascular medicine 2022 9764629 - A Selective Screening Strategy Performed in Pre-School Children and Siblings to Detect Familial Hypercholesterolemia.
Thajer Alexandra et al. Children (Basel, Switzerland) 2022 9(5) - Important Risk Factors in Patients with Nonvalvular Atrial Fibrillation Taking Dabigatran Using Integrated Machine Learning Scheme-A Post Hoc Analysis.
Huang Yung-Chuan et al. Journal of personalized medicine 2022 12(5) - Explainable detection of myocardial infarction using deep learning models with Grad-CAM technique on ECG signals.
Jahmunah V et al. Computers in biology and medicine 2022 146105550 - PCSK9 inhibitors and ezetimibe for the reduction of cardiovascular events: a clinical practice guideline with risk-stratified recommendations.
Hao Qiukui et al. BMJ (Clinical research ed.) 2022 377e069066 - Machine learning approaches to predict the 1-year-after-initial-AMI survival of elderly patients.
Lee Jisoo et al. BMC medical informatics and decision making 2022 22(1) 115 - Machine learning to predict no reflow and in-hospital mortality in patients with ST-segment elevation myocardial infarction that underwent primary percutaneous coronary intervention.
Deng Lianxiang et al. BMC medical informatics and decision making 2022 22(1) 109 - Validation of the myocardial-ischaemic-injury-index machine learning algorithm to guide the diagnosis of myocardial infarction in a heterogenous population: a prespecified exploratory analysis.
Doudesis Dimitrios et al. The Lancet. Digital health 2022 4(5) e300-e308 - Preconception leisure-time physical activity and family history of stroke and myocardial infarction associate with preterm delivery: findings from a Norwegian cohort.
Engen Tone et al. BMC pregnancy and childbirth 2022 22(1) 341 - Implementation of a machine learning application in preoperative risk assessment for hip repair surgery.
Li Yu-Yu et al. BMC anesthesiology 2022 22(1) 116 - Impact of the ABCD-GENE Score on Clopidogrel Clinical Effectiveness after PCI: A Multi-site, Real-world Investigation.
Thomas Cameron D et al. Clinical pharmacology and therapeutics 2022 - Deep Learning for Detecting and Locating Myocardial Infarction by Electrocardiogram: A Literature Review.
Xiong Ping et al. Frontiers in cardiovascular medicine 2022 9860032 - A visually interpretable detection method combines 3-D ECG with a multi-VGG neural network for myocardial infarction identification.
Fang Rui et al. Computer methods and programs in biomedicine 2022 219106762 - Incident and recurrent myocardial infarction (MI) in relation to comorbidities: Prediction of outcomes using machine learning algorithms.
Lip Gregory Y H et al. European journal of clinical investigation 2022 e13777
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HLBS-PopOmics is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other materials that address the translation of genomic and other precision health discoveries into improved health care and prevention related to Heart and Vascular Diseases(H), Lung Diseases(L), Blood Diseases(B), and Sleep Disorders(S)...more
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Mensah GA, Yu W, Barfield WL, Clyne M, Engelgau MM, Khoury MJ. HLBS-PopOmics: an online knowledge base to accelerate dissemination and implementation of research advances in population genomics to reduce the burden of heart, lung, blood, and sleep disorders. Genet Med. 2018 Sep 10. doi: 10.1038/s41436-018-0118-1
Disclaimer: Articles listed in the Public Health Knowledge Base are selected by Public Health Genomics Branch to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
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