AO Spine-DGOU Osteoporotic Fracture Classification System: Internal Validation by the AO Spine Knowledge Forum Trauma
Year: 2024
Type: article
Abstract: STUDY DESIGN Cross-sectional survey. OBJECTIVES Injury classifications are important tools to identify fracture patterns, guide treatment-decisions and aid to identify optimal treatment plans. The AO Spine-DGOU Osteoporotic Fracture (OF) classification system was developed, and the aim of this study was to assess the reliability of this new classification system. METHODS 23 Members of the AO Spine Knowledge Forum Trauma participated in the validation process. Participants were asked to rate 33 cases according to the OF classification at 2 time points, 4 weeks apart (assessment 1 and 2). The kappa statistic (κ) was calculated to assess inter-observer reliability and intra-rater reproducibility. The gold master key for each case was determined by approval of at least 5 out of 7 members of the DGOU. RESULTS A total of 1386 ratings (21 raters) were performed. The overall inter-rater agreement was moderate with a combined kappa statistic for the OF classification of 0.496 in assessment 1 and 0.482 in assessment 2. The combined percentage of correct ratings (compared to gold-standard) in assessment 1 was 71.4% and 67.4% in assessment 2. The average intra-rater reproducibility was substantial (κ = 0.74, median 0.76, range 0.55 to 1.00, SD 0.13) for the assessed fracture types. CONCLUSIONS The assessed overall inter-rater reliability was moderate and substantial in some instances. The average intra-rater reproducibility is substantial. It seems that appropriate training of the classification system can enhance inter- and intra-rater reliability.
DOI: 10.5167/uzh-262771
Authors: Scherer, Julian, Joaquim, Andrei, Vaccaro, Alex, Kanna, Rishi, El-Sharkawi, Mohammad, Takahata, Masahiko, Aly, Mohamed M, Camino-Willhuber, Gaston, Spiegl, Ulrich, Oner, Cumhur, Canseco, Jose A, Yurac, Ratko, Benneker, Lorin Michael, Popescu, Eugen Cezar, Bransford, Richard, Chhabra, Harvinder Singh, Kandziora, Frank, Neva, Marko H, Schnake, Klaus John
Language: English
Subfield: Surgery
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W6967734343
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