Ashraf Abugrounمشاهده پروفایل
استادیار
Ashraf Abugroun is an Assistant Clinical Professor in the Division of Hospital Medicine at the University of California, San Francisco (UCSF) School of Medicine. He holds a MBBS from the University of Khartoum (2009), an MPH in Quantitative Methods from Harvard T.H. Chan School of Public Health (2023), and completed a geriatrics fellowship at Wayne State University (2020). His research focuses on cardiovascular epidemiology and clinical outcomes in geriatric populations, aiming to tailor clinical guidelines using risk-benefit analysis and cost-effectiveness. Education: MBBS, Bachelor of Medicine and Surgery, University of Khartoum (2009) Internal Medicine Residency, Advocate Illinois Masonic Medical Center (2019) Geriatrics Fellowship, Wayne State University (2020) MPH in Quantitative Methods, Harvard T.H. Chan School of Public Health (2023) Research Interests: Dr. Abugroun’s work emphasizes optimizing cardiovascular care for older adults by analyzing treatment modalities, frailty prediction, and tailoring guidelines to clinical-functional profiles. Key areas include transcatheter aortic valve replacement outcomes, atrial fibrillation management, and social determinants of health in geriatrics. Recent Publications: His recent work explores social engagement and mortality in older adults, biological aging’s impact on hypertension, and triage tools for emergency department care. He also investigates gender disparities in cardiovascular interventions and outcomes of peripheral artery disease treatments. Awards: John A. Watson Faculty Scholar, UCSF School of Medicine (2022–2025) John N Sheagren Legacy Award, Advocate Illinois Masonic Medical Center (2019) Research Recognition Award, Advocate Illinois Masonic Medical Center (2019) Advising/Grants: While no formal advisees are listed, his research aligns with UCSF’s focus on geriatric care innovation and has received institutional support via faculty scholarships. His work contributes to national databases like the National Inpatient Sample for outcome analysis.











