Abstract
Purpose
The Non-Union Scoring System (NUSS) aims to classify non-unions according to their severity and relate them to four treatment categories. The main purpose of this study was to evaluate the reliability of the NUSS. In addition we assessed its clinical validity.
Methods
Forty-four Patients with a tibia non-union between 2005 and 2015 were included in this study. Data from all included patients were scored independently by three observers according to the NUSS criteria. The interobserver agreement was evaluated using the intraclass correlation coefficient (ICC). The interobserver agreement of the Weber–Cech system was assessed using Fleiss’ kappa. Finally, the clinical validity of the NUSS was analysed by comparing outcomes of the actual treatment groups to the proposed treatment groups following from the NUSS scores.
Results
Forty-four patients were included. The comparison of NUSS scores between observers showed substantial agreement [ICC; 0.78 (0.67–0.86)]. The comparison of the Weber–Cech classification between observers showed only fair agreement [Fleiss κ; 0.30 (0.17–0.42)]. The χ2 test for the treatment groups according to the NUSS and the treatments at index procedure showed an independent relation (χ2 = 5.794, 6 degrees of freedom, p: 0.447). In contrast, the proposed treatment strategy corresponds well to the definitive treatment (χ2 = 29.963, 9 degrees of freedom, p < 0.001).
Conclusion
We conclude that the NUSS is both a reliable and valid system to classify non-unions.
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References
Antonova E, Le TK, Burge R, Mershon J. Tibia shaft fractures: costly burden of nonunions. BMC Musculoskelet Disord. 2013;26(14):42.
Patil S, Montgomery R. Management of complex tibial and femoral nonunion using the Ilizarov technique, and its cost implications. J Bone Joint Surg Br. 2006;88(7):928–32.
Santolini E, West R, Giannoudis PV. Risk factors for long bone fracture non-union: a stratification approach based on the level of the existing scientific evidence. Injury. 2015;46(Suppl 8):S8–19.
Harwood PJ, Newman JB, Michael ALR. (ii) An update on fracture healing and non-union. Orthop Trauma. 2010;24(1):9–23.
Calori GM, Phillips M, Jeetle S, Tagliabue L, Giannoudis PV. Classification of non-union: need for a new scoring system? Injury. 2008;39(Suppl 2):S59–63.
Weber BG, Cech O. Pseudarthrosis. New York: Grune and Stratton; 1976.
Reed AA, Joyner CJ, Brownlow HC, Simpson AH. Human atrophic fracture non-unions are not avascular. J Orthop Res. 2002;20(3):593–9.
Brownlow HC, Reed A, Simpson AH. The vascularity of atrophic non-unions. Injury. 2002;33(2):145–50.
Panteli M, Pountos I, Jones E, Giannoudis PV. Biological and molecular profile of fracture non-union tissue: current insights. J Cell Mol Med. 2015;19(4):685–713.
Catagni MA, Bianci-Maiocchi A. Treatment of fractures, non-unions, and bone loss of the tibia with the Ilizarov method. Milan: Medicalplastic; 1998.
Paley D, Catagni MA, Argnani F, Villa A, Benedetti GB, Cattaneo R. Ilizarov treatment of tibial nonunions with bone loss. Clin Orthop Relat Res. 1989;241(241):146–65.
Giannoudis PV, Einhorn TA, Marsh D. Fracture healing: the diamond concept. Injury. 2007;38(Suppl 4):S3–6.
Calori GM, Colombo M, Mazza EL, Mazzola S, Malagoli E, Marelli N, et al. Validation of the Non-Union Scoring System in 300 long bone non-unions. Injury. 2014;45(Suppl 6):S93–7.
Kooistra BW, Sprague S, Bhandari M, Schemitsch EH. Outcomes assessment in fracture healing trials: a primer. J Orthop Trauma. 2010;24(Suppl 1):S71–5.
Jackowski D, Guyatt G. A guide to health measurement. Clin Orthop Relat Res. 2003;413(413):80–9.
Abumunaser LA, Al-Sayyad MJ. Evaluation of the calori et Al nonunion scoring system in a retrospective case series. Orthopedics. 2011;34(5):359.
Whelan DB, Bhandari M, Stephen D, Kreder H, McKee MD, Zdero R, et al. Development of the radiographic union score for tibial fractures for the assessment of tibial fracture healing after intramedullary fixation. J Trauma. 2010;68(3):629–32.
Walter SD, Eliasziw M, Donner A. Sample size and optimal designs for reliability studies. Stat Med. 1998;17(1):101–10.
Fleiss JL, Cohen J. The equivalence of weighted kappa and the intraclass correlation coefficient as measures of reliability. Educ Psychol Meas. 1973;33:613–9.
Fleiss JL. Measuring nominal scale agreement among many raters. Psychol Bull. 1971;76(5):378–82.
Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33(1):159–74.
Bhandari M, Fong K, Sprague S, Williams D, Petrisor B. Variability in the definition and perceived causes of delayed unions and nonunions: a cross-sectional, multinational survey of orthopaedic surgeons. J Bone Joint Surg Am. 2012;94(15):e1091–6.
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M. van Basten Batenburg, I. B. Houben and T.J. Blokhuis declare that they have no conflict of interest.
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Since this study solely used retrospective data, neither humans nor animals participated actively in the study.
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The retrieval of data was covered by the general institutional review board (IRB) approval for data analysis in our institution.
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van Basten Batenburg, M., Houben, I.B. & Blokhuis, T.J. The Non-Union Scoring System: an interobserver reliability study. Eur J Trauma Emerg Surg 45, 13–19 (2019). https://doi.org/10.1007/s00068-017-0796-4
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DOI: https://doi.org/10.1007/s00068-017-0796-4