S
Sandra Kong
Researcher at Stanford University
Publications - 8
Citations - 56
Sandra Kong is an academic researcher from Stanford University. The author has contributed to research in topics: Medicine & Aorta. The author has an hindex of 2, co-authored 7 publications receiving 13 citations.
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Journal ArticleDOI
Patient experiences and perceptions of chronic disease care during the COVID-19 pandemic in India: a qualitative study.
Kavita Singh,Aprajita Kaushik,Leslie Johnson,Suganthi Jaganathan,Prashant Jarhyan,Mohan Deepa,Sandra Kong,Nikhil Srinivasapura Venkateshmurthy,Dimple Kondal,Sailesh Mohan,Ranjit Mohan Anjana,Mohammed K. Ali,Nikhil Tandon,K.M. Venkat Narayan,Viswanathan Mohan,Karen Eggleston,Dorairaj Prabhakaran +16 more
TL;DR: In this article, the authors conducted a qualitative study using a syndemic framework to understand the patients' experiences of chronic disease care, challenges faced during the lockdown, their coping strategies and mitigators during the COVID-19 pandemic in the context of socioecological and biological factors.
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Use of patient-specific computational models for optimization of aortic insufficiency after implantation of left ventricular assist device.
Patpilai Kasinpila,Sandra Kong,Robyn Fong,Rohan Shad,Alexander D. Kaiser,Alison L. Marsden,Y. Joseph Woo,William Hiesinger +7 more
TL;DR: It is demonstrated that patients who developed de novo AI have greater rWSS at the aortic root, and their outflow grafts were placed closer to theAortic roots than those patients without de noVO AI.
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Patient-Specific Computational Fluid Dynamics Reveal Localized Flow Patterns Predictive of Post-Left Ventricular Assist Device Aortic Incompetence.
Rohan Shad,Alexander D. Kaiser,Sandra Kong,Robyn Fong,Nicolas Quach,Cayley Bowles,Patpilai Kasinpila,Yasuhiro Shudo,Jeffrey J. Teuteberg,Y. Joseph Woo,Alison L. Marsden,William Hiesinger +11 more
TL;DR: Aortic valve disease has remained a persistent cause of concern in patients with left ventricular assist devices as mentioned in this paper, and aortic incompetence is a known predictor of both morta...
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Computational Fluid Dynamics Simulations to Predict False Lumen Enlargement After Surgical Repair of Type-A Aortic Dissection.
Rohan Shad,Sandra Kong,Robyn Fong,Nicolas Quach,Patpilai Kasinpila,Cayley Bowles,Anson M. Lee,William Hiesinger +7 more
TL;DR: In this paper, the authors used computational fluid dynamics to investigate the hemodynamic conditions that may predispose to false lumen enlargement in aortic dissections in this patient population.
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The Impact of Catastrophic Medical Insurance in China: A five-year patient-level panel study
Min Yu,Jieming Zhong,Ruying Hu,Xiangyu Chen,Chunmei Wang,Kaixu Xie,Merrell Guzman,Xiaotong Gui,Sandra Kong,Tingting Qu,Karen Eggleston +10 more
TL;DR: Li et al. as mentioned in this paper studied the effect of the 2014 introduction of catastrophic medical insurance (CMI) for resident insurance beneficiaries in Tongxiang, a rural county in Zhejiang province, China, has had CMI since 2000 for their employee insurance scheme, and since 2014 for their resident insurance scheme.