Transforming Research and Clinical Knowledge in Spinal Cord Injury (TRACK-SCI): an overview of initial enrollment and demographics

Author:

Tsolinas Rachel E.1,Burke John F.12,DiGiorgio Anthony M.12,Thomas Leigh H.123,Duong-Fernandez Xuan123,Harris Mark H.123,Yue John K.12,Winkler Ethan A.12,Suen Catherine G.12,Pascual Lisa U.45,Ferguson Adam R.1236,Huie J. Russell123,Pan Jonathan Z.17,Hemmerle Debra D.123,Singh Vineeta138,Torres-Espin Abel12,Omondi Cleopa123,Kyritsis Nikos123,Haefeli Jenny12,Weinstein Philip R.239,de Almeida Neto Carlos A.123,Kuo Yu-Hung10,Taggard Derek10,Talbott Jason F.111,Whetstone William D.12,Manley Geoffrey T.12,Bresnahan Jacqueline C.123,Beattie Michael S.123,Dhall Sanjay S.12

Affiliation:

1. Brain and Spinal Injury Center, Zuckerberg San Francisco General Hospital; Departments of

2. Neurological Surgery,

3. Weill Institutes for Neuroscience;

4. Orthopaedic Surgery and Orthopedic Trauma Institute, Zuckerberg San Francisco General Hospital;

5. Orthopedic Surgery,

6. San Francisco Veterans Affairs Healthcare System;

7. Anesthesia and Perioperative Care,

8. Neurology, and

9. Institute for Neurodegenerative Diseases, Spine Center, University of California San Francisco;

10. Department of Neurological Surgery, University of California San Francisco–Fresno, Fresno, California

11. Department of Radiology and Biomedical Imaging, Zuckerberg San Francisco General Hospital, San Francisco; and

12. Emergency Medicine, University of California San Francisco;

Abstract

OBJECTIVETraumatic spinal cord injury (SCI) is a dreaded condition that can lead to paralysis and severe disability. With few treatment options available for patients who have suffered from SCI, it is important to develop prospective databases to standardize data collection in order to develop new therapeutic approaches and guidelines. Here, the authors present an overview of their multicenter, prospective, observational patient registry, Transforming Research and Clinical Knowledge in SCI (TRACK-SCI).METHODSData were collected using the National Institute of Neurological Disorders and Stroke (NINDS) common data elements (CDEs). Highly granular clinical information, in addition to standardized imaging, biospecimen, and follow-up data, were included in the registry. Surgical approaches were determined by the surgeon treating each patient; however, they were carefully documented and compared within and across study sites. Follow-up visits were scheduled for 6 and 12 months after injury.RESULTSOne hundred sixty patients were enrolled in the TRACK-SCI study. In this overview, basic clinical, imaging, neurological severity, and follow-up data on these patients are presented. Overall, 78.8% of the patients were determined to be surgical candidates and underwent spinal decompression and/or stabilization. Follow-up rates to date at 6 and 12 months are 45% and 36.3%, respectively. Overall resources required for clinical research coordination are also discussed.CONCLUSIONSThe authors established the feasibility of SCI CDE implementation in a multicenter, prospective observational study. Through the application of standardized SCI CDEs and expansion of future multicenter collaborations, they hope to advance SCI research and improve treatment.

Publisher

Journal of Neurosurgery Publishing Group (JNSPG)

Subject

Neurology (clinical),General Medicine,Surgery

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