Arya Aminorroaya, MD/MPH

2024

• Artificial intelligence applied to electrocardiographic images for the risk stratification of cancer therapeutics-related cardiac dysfunction

  Oikonomou E, Sangha V, Dhingra L, Aminorroaya A, Coppi A, Krumholz H, Baldassarre L, Khera R. Artificial intelligence applied to electrocardiographic images for the risk stratification of cancer therapeutics-related cardiac dysfunction. European Heart Journal 2024, 45: ehae666.3190. DOI: 10.1093/eurheartj/ehae666.3190.

  Peer-Reviewed Original Research

  Concepts

• Artificial Intelligence-Enhanced Risk Stratification of Cancer Therapeutics-Related Cardiac Dysfunction Using Electrocardiographic Images.

  Oikonomou E, Sangha V, Dhingra L, Aminorroaya A, Coppi A, Krumholz H, Baldassarre L, Khera R. Artificial Intelligence-Enhanced Risk Stratification of Cancer Therapeutics-Related Cardiac Dysfunction Using Electrocardiographic Images. Circulation Cardiovascular Quality And Outcomes 2024 PMID: 39221857, DOI: 10.1161/circoutcomes.124.011504.

  Peer-Reviewed Original Research

  Citations

  Altmetric

  Concepts

• Comparative Effectiveness of Second-Line Antihyperglycemic Agents for Cardiovascular Outcomes A Multinational, Federated Analysis of LEGEND-T2DM

  Khera R, Aminorroaya A, Dhingra L, Thangaraj P, Pedroso Camargos A, Bu F, Ding X, Nishimura A, Anand T, Arshad F, Blacketer C, Chai Y, Chattopadhyay S, Cook M, Dorr D, Duarte-Salles T, DuVall S, Falconer T, French T, Hanchrow E, Kaur G, Lau W, Li J, Li K, Liu Y, Lu Y, Man K, Matheny M, Mathioudakis N, McLeggon J, McLemore M, Minty E, Morales D, Nagy P, Ostropolets A, Pistillo A, Phan T, Pratt N, Reyes C, Richter L, Ross J, Ruan E, Seager S, Simon K, Viernes B, Yang J, Yin C, You S, Zhou J, Ryan P, Schuemie M, Krumholz H, Hripcsak G, Suchard M. Comparative Effectiveness of Second-Line Antihyperglycemic Agents for Cardiovascular Outcomes A Multinational, Federated Analysis of LEGEND-T2DM. Journal Of The American College Of Cardiology 2024, 84: 904-917. PMID: 39197980, DOI: 10.1016/j.jacc.2024.05.069.

  Peer-Reviewed Original Research

  Citations

  Altmetric

  MeSH Keywords and Concepts

• Correlation between hospital rates of survival to discharge and long-term survival for in-hospital cardiac arrest: Insights from Get With The Guidelines®-Resuscitation registry

  Khera R, Aminorroaya A, Kennedy K, Chan P, Investigators A, Grossestreuer A, Moskowitz A, Ornato J, Churpek M, Starks M, Girotra S, Perman S. Correlation between hospital rates of survival to discharge and long-term survival for in-hospital cardiac arrest: Insights from Get With The Guidelines®-Resuscitation registry. Resuscitation 2024, 202: 110322. PMID: 39029583, PMCID: PMC11390317, DOI: 10.1016/j.resuscitation.2024.110322.

  Peer-Reviewed Original Research

  Concepts

• 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 Research

  Citations

  Altmetric

  MeSH Keywords and Concepts

• Development 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. PMID: 39195936, DOI: 10.1038/s44161-024-00469-1.

  Peer-Reviewed Original Research

  Citations

  Altmetric

  Concepts

• Real-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 Research

  Citations

  Altmetric

  Concepts

• A WEARABLE-ADAPTED ARTIFICIAL INTELLIGENCE ALGORITHM FOR HEART FAILURE PREDICTION FROM SINGLE-LEAD ELECTROCARDIOGRAMS IN A LARGE NATIONWIDE COHORT STUDY

  Dhingra L, Aminorroaya A, Oikonomou E, Sangha V, Khunte A, Khera R. A WEARABLE-ADAPTED ARTIFICIAL INTELLIGENCE ALGORITHM FOR HEART FAILURE PREDICTION FROM SINGLE-LEAD ELECTROCARDIOGRAMS IN A LARGE NATIONWIDE COHORT STUDY. Journal Of The American College Of Cardiology 2024, 83: 2341. DOI: 10.1016/s0735-1097(24)04331-6.

  Peer-Reviewed Original Research

  Concepts

• 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

  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 Research

• TRENDS 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 Research

  Concepts