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Georg schmorl prize of the German spine society (DWG) 2021: Spinal Instability Spondylodiscitis Score (SISS)-a novel classification system for spinal instability in spontaneous spondylodiscitis.
Schömig, Friederike; Li, Zhao; Perka, Lena; Vu-Han, Tu-Lan; Diekhoff, Torsten; Fisher, Charles G; Pumberger, Matthias.
Affiliation
  • Schömig F; Centrum Für Muskuloskeletale Chirurgie, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany. friederike.schoemig@charite.de.
  • Li Z; Centrum Für Muskuloskeletale Chirurgie, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.
  • Perka L; Salzburg - Universitätsklinikum der Paracelsus Medizinischen Privatuniversität, Müllner Hauptstraße 48, 5020, Salzburg, Austria.
  • Vu-Han TL; Centrum Für Muskuloskeletale Chirurgie, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.
  • Diekhoff T; Klinik Für Radiologie, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.
  • Fisher CG; Division of Spine Surgery, University of British Columbia and Vancouver General Hospital, 818 West 10th Avenue, Vancouver, BC, Canada.
  • Pumberger M; Centrum Für Muskuloskeletale Chirurgie, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.
Eur Spine J ; 31(5): 1099-1106, 2022 05.
Article in En | MEDLINE | ID: mdl-35257237
PURPOSE: Even though spinal infections are associated with high mortality and morbidity, their therapy remains challenging due to a lack of established classification systems and widely accepted guidelines for surgical treatment. This study's aim therefore was to propose a comprehensive classification system for spinal instability based on the Spinal Instability Neoplastic Score (SINS) aiding spine surgeons in choosing optimal treatment for spontaneous spondylodiscitis. METHODS: Patients who were treated for spontaneous spondylodiscitis and received computed tomography (CT) imaging were included retrospectively. The Spinal Instability Spondylodiscitis Score (SISS) was developed by expert consensus. SINS and SISS were scored in CT-images by four readers. Intraclass correlation coefficients (ICCs) and Fleiss' Kappa were calculated to determine interrater reliabilities. Predictive validity was analyzed by cross-tabulation analysis. RESULTS: A total of 127 patients were included, 94 (74.0%) of which were treated surgically. Mean SINS was 8.3 ± 3.2, mean SISS 8.1 ± 2.4. ICCs were 0.961 (95%-CI: 0.949-0.971) for total SINS and 0.960 (95%-CI: 0.946-0.970) for total SISS. SINS yielded false positive and negative rates of 12.5% and 67.6%, SISS of 15.2% and 40.0%, respectively. CONCLUSION: We show high reliability and validity of the newly developed SISS in detecting unstable spinal lesions in spontaneous spondylodiscitis. Therefore, we recommend its use in evaluating treatment choices based on spinal biomechanics. It is, however, important to note that stability is merely one of multiple components in making surgical treatment decisions.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Spinal Neoplasms / Awards and Prizes / Discitis / Joint Instability Type of study: Guideline / Observational_studies / Prognostic_studies Limits: Humans Language: En Journal: Eur Spine J Journal subject: ORTOPEDIA Year: 2022 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Spinal Neoplasms / Awards and Prizes / Discitis / Joint Instability Type of study: Guideline / Observational_studies / Prognostic_studies Limits: Humans Language: En Journal: Eur Spine J Journal subject: ORTOPEDIA Year: 2022 Document type: Article Affiliation country: Country of publication: