• Khuzaima Rangwalla, Anna Filley, Ashraf El Naga, David Gendelberg, Avionna Baldwin, Ali Maziad, Ayush Arora, Aboubacar Wague, Jennifer O'Donnell, Timothy Chryssikos, Rafid Kasir, Jay Shah, Alekos Theologis, Lee Tan, Praveen Mummaneni, Todd Alamin, and Sigurd H Berven.
• School of Medicine, University of California, San Francisco, San Francisco, CA, USA.
• Eur Spine J. 2024 May 1; 33 (5): 176217721762-1772.

PurposeTo review existing classification systems for degenerative spondylolisthesis (DS), propose a novel classification designed to better address clinically relevant radiographic and clinical features of disease, and determine the inter- and intraobserver reliability of this new system for classifying DS.MethodsThe proposed classification system includes four components: 1) segmental dynamic instability, 2) location of spinal stenosis, 3) sagittal alignment, and 4) primary clinical presentation. To establish the reliability of this system, 12 observers graded 10 premarked test cases twice each. Kappa values were calculated to assess the inter- and intraobserver reliability for each of the four components separately.ResultsInterobserver reliability for dynamic instability, location of stenosis, sagittal alignment, and clinical presentation was 0.94, 0.80, 0.87, and 1.00, respectively. Intraobserver reliability for dynamic instability, location of stenosis, sagittal alignment, and clinical presentation were 0.91, 0.88, 0.87, and 0.97, respectively.ConclusionThe UCSF DS classification system provides a novel framework for assessing DS based on radiographic and clinical parameters with established implications for surgical treatment. The almost perfect interobserver and intraobserver reliability observed for all components of this system demonstrates that it is simple and easy to use. In clinical practice, this classification may allow subclassification of similar patients into groups that may benefit from distinct treatment strategies, leading to the development of algorithms to help guide selection of an optimal surgical approach. Future work will focus on the clinical validation of this system, with the goal of providing for more evidence-based, standardized approaches to treatment and improved outcomes for patients with DS.© 2023. The Author(s).

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