Arya Aminorroaya, MD/MPH
About
Titles
Postdoctoral Associate
Biography
Arya Aminorroaya is a Postdoctoral Associate in the Cardiovascular Data Science Lab. He is an MD-MPH graduate from Tehran University of Medical Sciences in Iran, where he was an Avicenna awardee for Excellence in Research and Education. During medical school, he joined the research department of Tehran Heart Center and Non-Communicable Diseases Research Center at Tehran University of Medical Sciences, and the Institute for Health Metrics and Evaluation at the University of Washington to pursue his interest in medical research. He was involved in implementing clinical and epidemiological studies in the field of cardiovascular medicine, through which he established a solid foundation in research methodology and statistical analysis. His research has been published in The Lancet, European Heart Journal, American Heart Journal, and European Journal of Preventive Cardiology. Also, he is a reviewer at European Heart Journal, European Journal of Preventive Cardiology, and BMC Cardiovascular Disorders. He was selected as the Reviewer of the Year by the European Journal of Preventive Cardiology in 2022.
At Cardiovascular Data Science (CarDS) Lab, Arya's research focuses on improving the quality of care for patients with cardiovascular disease using data science and machine learning strategies.
Education & Training
- Postdoctoral Research Fellow
- Tehran University of Medical Sciences (2022)
- MD/MPH
- Tehran University of Medical Sciences (2021)
Research
Publications
Performance of contemporary cardiovascular risk stratification scores in Brazil: an evaluation in the ELSA-Brasil study
Camargos A, Barreto S, Brant L, Ribeiro A, Dhingra L, Aminorroaya A, Bittencourt M, Figueiredo R, Khera R. Performance of contemporary cardiovascular risk stratification scores in Brazil: an evaluation in the ELSA-Brasil study. Open Heart 2024, 11: e002762. PMID: 38862252, PMCID: PMC11168182, DOI: 10.1136/openhrt-2024-002762.Peer-Reviewed Original ResearchConceptsPooled Cohort EquationsELSA-BrasilRisk scoreCardiovascular diseaseCVD eventsCommunity-based cohort studyArea under the receiver operating characteristic curveCVD risk scoreELSA-Brasil studyIncident CVD eventsMiddle-income countriesAdjudicated CVD eventsCardiovascular disease riskCVD scoreCohort EquationsNational guidelinesRisk stratification scoresWhite womenAge/sex groupsCohort studyProspective cohortLMICsSex/race groupsHigher incomeRisk discriminationDevelopment and multinational validation of an algorithmic strategy for high Lp(a) screening
Aminorroaya A, Dhingra L, Oikonomou E, Saadatagah S, Thangaraj P, Vasisht Shankar S, Spatz E, Khera R. Development and multinational validation of an algorithmic strategy for high Lp(a) screening. Nature Cardiovascular Research 2024, 3: 558-566. DOI: 10.1038/s44161-024-00469-1.Peer-Reviewed Original ResearchElectronic health recordsAssociated with premature atherosclerotic cardiovascular diseaseElevated Lp(aHealth recordsUK BiobankPremature atherosclerotic cardiovascular diseaseMachine learning modelsAtherosclerotic cardiovascular diseaseCohort studyReal-world settingsTargeted screeningCardiovascular diseaseLearning modelsNovel targeted therapeuticsAlgorithmic strategiesCohortProbability thresholdScreeningClinical featuresValidation cohortElevated lipoproteinRisk inspectionARICLp(aReal-world evaluation of an algorithmic machine-learning-guided testing approach in stable chest pain: a multinational, multicohort study
Oikonomou E, Aminorroaya A, Dhingra L, Partridge C, Velazquez E, Desai N, Krumholz H, Miller E, Khera R. Real-world evaluation of an algorithmic machine-learning-guided testing approach in stable chest pain: a multinational, multicohort study. European Heart Journal - Digital Health 2024, 5: 303-313. PMID: 38774380, PMCID: PMC11104476, DOI: 10.1093/ehjdh/ztae023.Peer-Reviewed Original ResearchRisk of acute myocardial infarctionAssociated with lower oddsHospital health systemCoronary artery diseaseCardiac testingRisk of adverse outcomesUK BiobankHealth systemProvider-drivenLower oddsAssociated with better outcomesAcute myocardial infarctionBlack raceStable chest painFemale sexReal world evaluationDiabetes historyMulticohort studyFunction testsSuspected coronary artery diseaseYounger ageRisk profileAdverse outcomesMultinational cohortPost hoc analysisCOMPARATIVE CARDIOVASCULAR EFFECTIVENESS OF ANTI-HYPERGLYCEMIC AGENTS INITIATED AS SECOND-LINE THERAPY IN TYPE 2 DIABETES: A LARGE-SCALE, MULTINATIONAL, FEDERATED TARGET TRIAL EMULATION IN THE LEGEND-T2DM STUDY
Khera R, Aminorroaya A, Dhingra L, Bu F, Camargos A, Falconer T, Zhou J, Dorr D, French T, Lau W, Lu Y, Blacketer C, Reyes C, Minty E, Li K, Man K, Ostropolets A, Nishimura A, Matheny M, Yang J, Ryan P, Y.F. W, Krumholz H, Hripcsak G, Suchard M. COMPARATIVE CARDIOVASCULAR EFFECTIVENESS OF ANTI-HYPERGLYCEMIC AGENTS INITIATED AS SECOND-LINE THERAPY IN TYPE 2 DIABETES: A LARGE-SCALE, MULTINATIONAL, FEDERATED TARGET TRIAL EMULATION IN THE LEGEND-T2DM STUDY. Journal Of The American College Of Cardiology 2024, 83: 1977. DOI: 10.1016/s0735-1097(24)03967-6.Peer-Reviewed Original ResearchTRENDS IN KNOWLEDGE OF RISK FACTOR TARGETS AMONG PATIENTS WITH DIABETES MELLITUS IN THE UNITED STATES: A NATIONALLY REPRESENTATIVE STUDY
Bansal B, Aminorroaya A, Dhingra L, Oikonomou E, Khera R. TRENDS IN KNOWLEDGE OF RISK FACTOR TARGETS AMONG PATIENTS WITH DIABETES MELLITUS IN THE UNITED STATES: A NATIONALLY REPRESENTATIVE STUDY. Journal Of The American College Of Cardiology 2024, 83: 1882. DOI: 10.1016/s0735-1097(24)03872-5.Peer-Reviewed Original ResearchWEARABLE DEVICE USE PATTERNS AMONG THOSE WITH CARDIOVASCULAR RISK IN ALL OF US RESEARCH PROGRAM: AN EVALUATION AGAINST A NATIONALLY REPRESENTATIVE DATABASE
Feliciano K, Aminorroaya A, Dhingra L, Thangaraj P, Adejumo P, Khera R. WEARABLE DEVICE USE PATTERNS AMONG THOSE WITH CARDIOVASCULAR RISK IN ALL OF US RESEARCH PROGRAM: AN EVALUATION AGAINST A NATIONALLY REPRESENTATIVE DATABASE. Journal Of The American College Of Cardiology 2024, 83: 2045. DOI: 10.1016/s0735-1097(24)04035-x.Peer-Reviewed Original ResearchA NOVEL DEEP LEARNING APPROACH FOR AUTOMATED EXTRACTION OF FUNCTIONAL STATUS AND NEW YORK HEART ASSOCIATION CLASS FOR HEART FAILURE PATIENTS DURING OUTPATIENT ENCOUNTERS
Adejumo P, Dhingra L, Aminorroaya A, Khera R. A NOVEL DEEP LEARNING APPROACH FOR AUTOMATED EXTRACTION OF FUNCTIONAL STATUS AND NEW YORK HEART ASSOCIATION CLASS FOR HEART FAILURE PATIENTS DURING OUTPATIENT ENCOUNTERS. Journal Of The American College Of Cardiology 2024, 83: 313. DOI: 10.1016/s0735-1097(24)02303-9.Peer-Reviewed Original ResearchHEART FAILURE RISK PREDICTION USING ARTIFICIAL INTELLIGENCE ON ECG PHOTOS IN LARGE CONTEMPORARY COHORT
Dhingra L, Sangha V, Aminorroaya A, Camargos A, Oikonomou E, Khera R. HEART FAILURE RISK PREDICTION USING ARTIFICIAL INTELLIGENCE ON ECG PHOTOS IN LARGE CONTEMPORARY COHORT. Journal Of The American College Of Cardiology 2024, 83: 277. DOI: 10.1016/s0735-1097(24)02267-8.Peer-Reviewed Original ResearchMULTINATIONAL REAL-WORLD EVALUATION OF A MACHINE LEARNING-DERIVED TOOL FOR ANATOMICAL VERSUS FUNCTIONAL TESTING IN SUSPECTED CORONARY ARTERY DISEASE
Oikonomou E, Aminorroaya A, Dhingra L, Khera R. MULTINATIONAL REAL-WORLD EVALUATION OF A MACHINE LEARNING-DERIVED TOOL FOR ANATOMICAL VERSUS FUNCTIONAL TESTING IN SUSPECTED CORONARY ARTERY DISEASE. Journal Of The American College Of Cardiology 2024, 83: 1357. DOI: 10.1016/s0735-1097(24)03347-3.Peer-Reviewed Original ResearchCORRELATION BETWEEN HOSPITAL RATES OF SURVIVAL TO DISCHARGE AND LONG-TERM SURVIVAL FOR IN-HOSPITAL CARDIAC ARREST: INSIGHTS FROM GET WITH THE GUIDELINES®RESUSCITATION
Aminorroaya A, Chan P, Kennedy K, Khera R. CORRELATION BETWEEN HOSPITAL RATES OF SURVIVAL TO DISCHARGE AND LONG-TERM SURVIVAL FOR IN-HOSPITAL CARDIAC ARREST: INSIGHTS FROM GET WITH THE GUIDELINES®RESUSCITATION. Journal Of The American College Of Cardiology 2024, 83: 2557. DOI: 10.1016/s0735-1097(24)04547-9.Peer-Reviewed Original Research
Academic Achievements and Community Involvement
Links & Media
News
- June 27, 2024
What to Know about Lipoprotein(a)
- April 01, 2024
Yale Faculty Present Groundbreaking Clinical Research at the 2024 American College of Cardiology Scientific Sessions
- September 04, 2023
Analysis: most cited cardiovascular medicine research, summer 2023
- August 16, 2023
CarDS Lab Members Selected as Finalists for 2023 AHA Young Investigator Awards