The current proposal seeks to develop an infrastructure for resource, tool and data sharing in the field of stroke in India, modeled after te existing NIH funded stroke infrastructure in USA. Our goal is to lay the foundation for Indo-U.S. research collaborations for comparative studies on stroke risk factors, outcomes, future genetic and imaging studies, and stroke clinical trials. Over the past decade the U.S. NIH has recognized the importance of pooling advanced clinical, imaging, laboratory and genetic data from multiple centers in order to address major questions in the field of stroke. NIH funding has helped to create several large stroke databases that have stimulated collaborative research. Examples include the Stroke Genetics Network (SiGN), the Stroke Imaging Repository (STIR), and the Specialized Program of Translational Research in Acute Stroke (SPOTRIAS). The Massachusetts General Hospital (MGH, the U.S. site of this proposal), has been contributing data to each of these registries and networks. In fact, the PI and co-investigators on this proposal have played key roles in their development. We have gained experience in critical database framework issues such as definitions, queries and logic checks, data storage/retrieval, and have developed tools for stroke phenotypic, genetic and imaging data analysis, and stroke subtyping. The advantages of collaborative databases have also been recognized in India. Our Indian Co-PIs from 5 high-volume geographically diverse centers have created local registries and contributed data towards national and international efforts, e.g. the hospital-based stroke registry at SreeChitra Institute Kerala, the population- based Ludhiana stroke registry, and the ICMR and SITS-SEARS registries. Currently, these databases lack multi-ethnic data, and are limited by issues such as varying data definitions and non-standardized methodology. These shortcomings, and the potential to uncover new biological insights, were highlighted in our recent study comparing young stroke at MGH versus two Indian sites (AIIMS, Nizam). We now propose a comprehensive Indian stroke registry, with data definitions and data fields consistent with existing NIH registries (e.g. SiGN). Training a group of research associates and fellows on methods of data acquisition and entry is a key component and will allow this initial effort to be sustained. The user-driven web-based platform will allow research teams to share and compare multi-ethnic data, and accelerate the pace of stroke clinical, genetic and imaging research around the world.

Public Health Relevance

Stroke is a leading cause of death and disability and a major socio-economic burden in virtually every country. This Indo-US collaborative proposal seeks to leverage existing U.S. NIH-funded stroke database efforts, to develop a parallel user-driven web-based registry for stroke patients in 5 high-volume centers in India. Ultimately this platform will enable researchers in both countries to share and compare multi-ethnic data, and accelerate the pace of stroke clinical, genetic and imaging research around the world.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Exploratory/Developmental Grants (R21)
Project #
1R21NS077442-01
Application #
8242941
Study Section
Special Emphasis Panel (ZRG1-BDCN-L (52))
Program Officer
Janis, Scott
Project Start
2011-09-30
Project End
2014-08-31
Budget Start
2011-09-30
Budget End
2013-08-31
Support Year
1
Fiscal Year
2011
Total Cost
$306,541
Indirect Cost
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
02199
Sylaja, P N; Pandian, Jeyaraj Durai; Kaul, Subhash et al. (2018) Ischemic Stroke Profile, Risk Factors, and Outcomes in India: The Indo-US Collaborative Stroke Project. Stroke 49:219-222
Hirai, Kelsi K; Groisser, Benjamin N; Copen, William A et al. (2016) Comparing prognostic strength of acute corticospinal tract injury measured by a new diffusion tensor imaging based template approach versus common approaches. J Neurosci Methods 257:204-13
Lima, Fabricio O; Silva, Gisele S; Furie, Karen L et al. (2016) Field Assessment Stroke Triage for Emergency Destination: A Simple and Accurate Prehospital Scale to Detect Large Vessel Occlusion Strokes. Stroke 47:1997-2002
Battey, Thomas W K; Karki, Mahima; Singhal, Aneesh B et al. (2014) Brain edema predicts outcome after nonlacunar ischemic stroke. Stroke 45:3643-8
Singhal, Aneesh B; Lo, Warren (2014) Life after stroke: Beyond medications. Neurology 83:1128-9
Groisser, Benjamin N; Copen, William A; Singhal, Aneesh B et al. (2014) Corticospinal tract diffusion abnormalities early after stroke predict motor outcome. Neurorehabil Neural Repair 28:751-60
Ali, Syed F; Singhal, Aneesh B; Viswanathan, Anand et al. (2013) Characteristics and outcomes among patients transferred to a regional comprehensive stroke center for tertiary care. Stroke 44:3148-53
Ji, Ruijun; Schwamm, Lee H; Pervez, Muhammad A et al. (2013) Ischemic stroke and transient ischemic attack in young adults: risk factors, diagnostic yield, neuroimaging, and thrombolysis. JAMA Neurol 70:51-7