Symposia: Thrombosis and Anticoagulation: Clinical and Epidemiological
Oral and Poster Abstracts
Oral
Research, Bleeding and Clotting, Adult, Artificial intelligence (AI), Epidemiology, Clinical Practice (Health Services and Quality), Clinical Research, Health outcomes research, Bioinformatics, Thromboembolism, Pediatric, Diseases, Real-world evidence, Registries, Adverse Events, Emerging technologies, Technology and Procedures, Study Population, Human, Machine learning
Room 28 A-D
(San Diego Convention Center)
Moderator:
and
Tzu-Fei Wang, MD, MPH,
Disclosures:
No relevant conflicts of interest to declare.
Understanding thrombosis risk and outcomes, whether overall through models of risk, or for specific risk factors is key to understanding how to better care for people. These abstracts focus on assess risk of thrombosis and risk of adverse outcomes in people with thrombosis.
2:45 PM
Damon E. Houghton, MD, MS1, Kan Liu, PhD2*, Francisco Lopez-Jimenez, MD3*, Ryan Meverden, PA-C4*, Robert D. McBane, MD4*, Stan Henkin, MD2*, Ana I. Casanegra, MD4* and Waldemar Wysokinski2*
1Department of Cardiovascular Diseases, Division of Vascular Medicine & Dept of Medicine, Division of Hematology, Mayo Clinic, Rochester, MN
2Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN
3Mayo Clinic Rochester, Rochester, MN
4Gonda Vascular Center, Mayo Clinic, Rochester, MN
3:00 PM
Ang Li, MD, MS1, Rockbum Kim, MD, PhD2, Omid Jafari, PhD1*, Shengling Ma, MD, PhD3, Jun Yang Jiang, MD2*, Nathanael R. Fillmore, PhD4,5*, Jennifer La5* and Christopher I Amos1*
1Baylor College of Medicine, Houston, TX
2Section of Hematology-Oncology, Department of Medicine, Baylor College of Medicine, Houston, TX
3Section of Hematology-Oncology, Baylor College of Medicine, HOUSTON, TX
4Harvard Medical School, Boston, MA
5VA Boston Healthcare System, Boston, MA
3:15 PM
Denis O'Keeffe, MD1, Thomas O'Halloran, MD2*, Fionnuala Ni Ainle3*, Bibi Bassa, MD4*, Michael Watts, MD2* and Siobhan Egan, RN5*
1University hospital limerick, Limerick, Ireland
2University hospital limerick, limerick, Ireland
3University College Dublin, Dublin, IRL
4Mater Hospital, Dublin, Ireland
5CRSU University of Limerick, Limerick, Ireland
3:30 PM
Kristen M. Sanfilippo, MD1,2, Yan Yan, MD, PhD3*, Suhong Luo, MS3,4*, Su-Hsin Chang, PhD5,6*, Martin William Schoen, MD, MPH5,7*, Amber Afzal, MD, MSc6, Kenneth R. Carson, MD, PhD8 and Brian F. Gage, MD, MSc3*
1Washington University School of Medicine St Louis, Chesterfield, MO
2St Louis Veterans Affairs Medical Center, Saint Louis, MO
3Washington University School of Medicine St Louis, St Louis, MO
4St Louis Veterans Affairs Medical Center, St Louis, MO
5Research Service, St. Louis Veterans Affairs Medical Center, St. Louis, MO
6Washington University School of Medicine St Louis, Saint Louis, MO
7Department of Internal Medicine, Saint Louis University School of Medicine, St. Louis, MO
8Robert H Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago
3:45 PM
Cameron Brown1,2*, Marc Carrier, MD, MSc1,2, Ranjeeta Mallick, PhD, MSc3*, Amanda Pecarskie1*, Joseph R. Shaw, MD1,2 and Gregoire Le Gal, MD, PhD1,2
1Ottawa Blood Disease Centre, Ottawa Hospital Research Institute, Ottawa, ON, Canada
2Department of Medicine, University of Ottawa, Ottawa, ON, Canada
3Ottawa Methods Center, Ottawa Hospital Research Institute, Ottawa, ON, Canada
4:00 PM
Sirui Ma, MD1, Rushad Patell, MD2,3, Robert A. Redd, MS4*, Jeffrey I. Zwicker, MD5,6 and Avi Leader, MD7
1Division of Hematology and Oncology, University of California, San Francisco, San Francisco, CA
2Division of Hematology/Oncology, Beth Israel Deaconess Medical Center, Boston, MA
3Division of Hematology/Oncology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
4Department of Data Science, Dana-Farber Cancer Institute, Boston, MA
5Department of Medicine, Weill Cornell Medical College, New York, NY
6Memorial Sloan Kettering Cancer Center, New York, NY
7Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
*signifies non-member of ASH
denotes an abstract that is clinically relevant.
denotes that this is a recommended PHD Trainee Session.
denotes that this is a ticketed session.