UMMS-Brazil collaboration featured at Meetings of the International Spinal Cord Society

Dr. Tate and Dr. Yamauti at the annual ISCoS meeting in London

Collaborators from U-M Medical School and the School of Medicine at the University of Sao Paulo (USP) have recently returned from London where they presented at the 51st Annual Scientific Meeting of the International Spinal Cord Society  (ISCoS) meeting.

Dr. Denise Tate, Professor of Physical Medicine and Rehabilitation and Co-Director of the U-M SCI Model System Program, and her colleague, Dr. Rafael Yamauti, Chief Resident for Physical Medicine and Rehabilitation at USP School of Medicine, reported on their teams’ work on developing a standardized dataset to allow for comparisons of clinical and research SCI (Spinal Cord Injury) data between Brazil and the US. Their specific presentation focused on the reliability of the English to Portuguese translation of the International Bowel Function Basic International Spinal Cord Injury Dataset. The presentation was well received and co-authors, which include Dr. Julia Greve, Associate Professor , Department of Orthopedics and Trauma from USP, have been invited to submit a corresponding manuscript.

The number of international SCI clinical trials seeking recovery has tripled recently, yet there are no standard methods to compare clinical trials outcome data across countries.  In the US, the incidence is SCI is about 12,000 cases a year and will continue to increase as a large number of persons are growing older will acquire an SCI due to falls and motor vehicle accidents.  In Brazil, the numbers are largely unknown but researchers report high numbers in Sao Paulo, related not only to falls and motor vehicle accidents, but also to violence. Regardless of the cause, SCI is a very costly condition to treat successfully given the need for comprehensive services.

Results generated from this reliability study showed an encouraging consistency of ratings and provided specific areas for improvement, both of which will help in standardizing the dataset and aid in clinician training.  Researchers plan to translate and validate additional data sets to be used by both countries in collaborative research projects in the near future.