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Published on: May 7, 2019
Risk Factors for the Development of Neurological Deficits in Metastatic Spinal Disease: An International, Multicenter
Eline H Huele1, Roxanne Gal1, Wietse S C Eppinga2
1Division of Imaging and Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Study Design:
Delphi study.
Objective:
The objective of this study was to identify risk factors associated with the development and/or progression of neurological deficits in patients with metastatic spinal disease.
Methods:
A three-round Delphi study was conducted between January-May 2023 including AO Spine members, comprising mainly neurosurgeons and orthopedic surgeons. In round 1, participants listed radiological factors, patient characteristics, tumor characteristics, previous cancer-related treatment factors and additional factors. In round 2, participants ranked the factors on importance per category and selected a top 9 from all factors. Kendall's W coefficient of concordance was calculated as a measure of consensus. In the final round, participants provided feedback on the rankings resulting from round 2. Lastly, the highest-ranking factors were more clearly defined and operationalized by an expert panel.
Results:
Over two hundred physicians and researchers participated in each round. The factors listed in the first round were collapsed into 12 radiological factors, 14 patient characteristics, 6 tumor characteristics and 12 previous cancer-related treatment factors. High agreement was found in round 3 on the top-half lists in each category and the overall top 9, originating from round 2. Kendall's W indicated strong agreement between the participants. 'Epidural spinal cord compression', 'aggressive tumor behavior' and 'mechanical instability' were deemed most influential for the development of neurological deficits.
Conclusion:
This study provides factors that may be related to the development and/or progression of neurological deficits in patients with metastatic spinal disease. This list can serve as a basis for future directions in prognostication research.
