Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Douglas P. Lee"'
Autor:
Jessalyn K. Holodinsky, PhD, Mukesh Kumar, PhD, Candace D. McNaughton, MD, PhD, MPH, Peter C. Austin, PhD, Anna Chu, MHSc, Michael D. Hill, MD, MSc, Colleen Norris, PhD, MScN, RN, Thalia S. Field, MD, MHSc, Douglas S. Lee, MD, PhD, Moira K. Kapral, MD, MSc, Noreen Kamal, PhD, PEng, Amy Y.X. Yu, MD, MSc
Publikováno v:
CJC Open, Vol 6, Iss 8, Pp 959-966 (2024)
Background: COVID-19 infection is associated with a pro-coagulable state, thrombosis, and cardiovascular events. However, its impact on population-based rates of vascular events is less well understood. We studied temporal trends in hospitalizations
Externí odkaz:
https://doaj.org/article/8fa4a1be239c417297b9dd395c59ba91
Autor:
Amy R. Johnson, Yuanyuan Qin, Alyssa J. Cozzo, Alex J. Freemerman, Megan J. Huang, Liyang Zhao, Brante P. Sampey, J. Justin Milner, Melinda A. Beck, Blossom Damania, Naim Rashid, Joseph A. Galanko, Douglas P. Lee, Matthew L. Edin, Darryl C. Zeldin, Patrick T. Fueger, Brittney Dietz, Andreas Stahl, Ying Wu, Karen L. Mohlke, Liza Makowski
Publikováno v:
Molecular Metabolism, Vol 5, Iss 7, Pp 506-526 (2016)
Objective: A novel approach to regulate obesity-associated adipose inflammation may be through metabolic reprogramming of macrophages (MΦs). Broadly speaking, MΦs dependent on glucose are pro-inflammatory, classically activated MΦs (CAM), which co
Externí odkaz:
https://doaj.org/article/3500912ba36c44dabe717f2ead379674
Autor:
Ben Li, Naomi Eisenberg, Derek Beaton, Douglas S. Lee, Leen Al‐Omran, Duminda N. Wijeysundera, Mohamad A. Hussain, Ori D. Rotstein, Charles de Mestral, Muhammad Mamdani, Graham Roche‐Nagle, Mohammed Al‐Omran
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 17 (2024)
Background Transfemoral carotid artery stenting (TFCAS) carries important perioperative risks. Outcome prediction tools may help guide clinical decision‐making but remain limited. We developed machine learning algorithms that predict 1‐year strok
Externí odkaz:
https://doaj.org/article/a397c931857b4a9ea46f68b740f07f3d
Autor:
Angela Jerath, Christopher J. D. Wallis, Stephen Fremes, Vivek Rao, Terrence M. Yau, Kiyan Heybati, Douglas S. Lee, Harindra C. Wijeysundera, Jason Sutherland, Peter C. Austin, Duminda N. Wijeysundera, Dennis T. Ko
Publikováno v:
BMC Cardiovascular Disorders, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background Research shows women experience higher mortality than men after cardiac surgery but information on sex-differences during postoperative recovery is limited. Days alive and out of hospital (DAH) combines death, readmission and leng
Externí odkaz:
https://doaj.org/article/b91ca03466f94189a6bce18b33fd725d
Autor:
Ben Li, Raj Verma, Derek Beaton, Hani Tamim, Mohamad A. Hussain, Jamal J. Hoballah, Douglas S. Lee, Duminda N. Wijeysundera, Charles de Mestral, Muhammad Mamdani, Mohammed Al-Omran
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Lower extremity open revascularization is a treatment option for peripheral artery disease that carries significant peri-operative risks; however, outcome prediction tools remain limited. Using machine learning (ML), we developed automated a
Externí odkaz:
https://doaj.org/article/ba4eb44b6da0438f9456f9c8a0d30306
Autor:
Douglas P. Lee, Andrew S. Deonarine, Martin Kienetz, Quansheng Zhu, Monika Skrzypczak, Monroe Chan, Patrick C. Choy
Publikováno v:
Journal of Lipid Research, Vol 42, Iss 12, Pp 1979-1986 (2001)
The acylation of glycerol-3-phosphate by acyl-CoA is regarded as the first committed step for the synthesis of the lipoidal moiety in glycerolipids. The direct acylation of glycerol in mammalian tissues has not been demonstrated. In this study, lipid
Externí odkaz:
https://doaj.org/article/ff6ec23320ff40ca904e9c4516bec299
Autor:
Ben Li, Badr Aljabri, Raj Verma, Derek Beaton, Mohamad A. Hussain, Douglas S. Lee, Duminda N. Wijeysundera, Charles de Mestral, Muhammad Mamdani, Mohammed Al‐Omran
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 9 (2024)
Background Lower extremity endovascular revascularization for peripheral artery disease carries nonnegligible perioperative risks; however, outcome prediction tools remain limited. Using machine learning, we developed automated algorithms that predic
Externí odkaz:
https://doaj.org/article/5c489d75b760482c9ccbdb9b29d8184d
Autor:
Angela Jerath, Christopher J. D. Wallis, Stephen Fremes, Vivek Rao, Terrence M. Yau, Kiyan Heybati, Douglas S. Lee, Harindra C. Wijeysundera, Jason Sutherland, Peter C. Austin, Duminda N. Wijeysundera, Dennis T. Ko
Publikováno v:
BMC Cardiovascular Disorders, Vol 24, Iss 1, Pp 1-2 (2024)
Externí odkaz:
https://doaj.org/article/a1cba4a76246464d8707c7c68ec528f1
Autor:
Chaitanya Bhatt, Ethan Lin, Laura E. Ferreira‐Legere, Cynthia A. Jackevicius, Dennis T. Ko, Douglas S. Lee, Kathryn Schade, Sharon Johnston, Todd J. Anderson, Jacob A. Udell
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 8 (2024)
Background Dyslipidemia management is a cornerstone in cardiovascular disease prevention and relies heavily on patient adherence to lifestyle modifications and medications. Numerous cholesterol patient education materials are available online, but it
Externí odkaz:
https://doaj.org/article/e9307eaccbae48fa8f6a6ceddd6f17a3
Autor:
Amy Y. X. Yu, Peter C. Austin, Cynthia A. Jackevicius, Anna Chu, Jessalyn K. Holodinsky, Michael D. Hill, Noreen Kamal, Mukesh Kumar, Douglas S. Lee, Manav V. Vyas, Raed A. Joundi, Nadia A. Khan, Moira K. Kapral, Candace D. McNaughton
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 8 (2024)
Background In the wake of pandemic‐related health decline and health care disruptions, there are concerns that previous gains for cardiovascular risk factors may have stalled or reversed. Population‐level excess burden of drug‐treated diabetes
Externí odkaz:
https://doaj.org/article/c480dfae27a549958dc438e7479579d7