Neuroscience Research Program
Stroke Outcomes Research Centre
Dr. Gustavo Saposnik is an Associate Professor of Medicine (Neurology) at the University of Toronto, Canada. He is a staff Neurologist at St. Michael's Hospital and Director of the Stroke Outcomes Research Centre at the Li Ka Shing Knowledge Institute. Dr. Saposnik holds a cross appointments at the Institute of Clinical Evaluative Sciences (ICES), and at Institute of Health Policy, Management and Evaluation.
The primary focus of Dr. Saposnik’s research is Stroke Outcomes Research, including 3 levels of intervention: 1) acute stroke care; 2) stroke prevention; and, 3) stroke rehabilitation. Dr. Saposnik is the principal investigator of several stroke outcome research projects and grants, and published over 130 peer-reviewed articles. Dr. Saposnik has established a successful research program on Stroke Outcomes Research www.sorcan.ca and is currently working with the American Heart Association in developing guidelines for stroke care.
The goal of iHOME is to examine the feasibility of an interactive software application, using a tablet PC (the iPad), to enhance attention and fine motor function of the upper extremity and remediate visual neglect in stroke patients, relative to the standard of care.
iSCORE is a predictive model of stroke mortality may be useful for clinicians to improve communication with and care of hospitalized patients. Our aim was to identify predictors of mortality and to develop and validate a risk score model using information available at hospital presentation
The Clinician Judgment vs. Risk Score to predict Stroke outComes (JURaSSiC) study randomized 111 Clinicians with expertise in acute stroke care to predict clinical outcomes of 5 assigned case-based ischemic stroke scenarios. Participants were enrolled in the study if they were practicing clinicians who provided stroke care in Ontario and were directly involved in medical decision making during the initial presentation or hospitalization. To reflect actual clinical practice, ischemic stroke cases for scenario development were selected to be representative of the 10 most common clinical presentations (n=1,415). This was possible by creating a patient profile matrix matched by age, sex, stroke severity, stroke subtype, the presence of vascular risk factors, glucose on admission, pre-admission status and risk stratum.