TY - JOUR
T1 - An international validation of the AO spine subaxial injury classification system
AU - AO Spine Subaxial Classification Group Members
AU - Karamian, Brian A.
AU - Schroeder, Gregory D.
AU - Lambrechts, Mark J.
AU - Canseco, Jose A.
AU - Oner, Cumhur
AU - Vialle, Emiliano
AU - Rajasekaran, Shanmuganathan
AU - Dvorak, Marcel R.
AU - Benneker, Lorin M.
AU - Kandziora, Frank
AU - Schnake, Klaus
AU - Kepler, Christopher K.
AU - Vaccaro, Alexander R.
AU - Costa, Bruno Lourenco
AU - Estefan, Martin
AU - Dawoud, Ahmed
AU - Kaen, Ariel
AU - Yuh, Sung Joo
AU - Fuego, Segundo
AU - Mannara, Francisco
AU - Ponnusamy, Gunaseelan
AU - Suri, Tarun
AU - Jayakumar, Subiiah
AU - Rodriguez, Luis Cuchen
AU - Cawley, Derek
AU - Godinho, Amauri
AU - Duerinck, Johnny
AU - Montemurro, Nicola
AU - Ozdener, Kubilay
AU - Hickman, Zachary
AU - Wael, Alsammak
AU - Gopalakrishnan, Dilip
AU - Santos, Bruno
AU - Morillo, Olga
AU - Sorimachi, Yasunori
AU - Miyakoshi, Naohisa
AU - Alkharsawi, Mahmoud
AU - Rahamimov, Nimrod
AU - Loya, Vijay
AU - Loughenbury, Peter
AU - Rodrigues, Jose
AU - Ankur, Nanda
AU - Alarcon, Olger
AU - Ampar, Nishanth
AU - Sprengel, Kai
AU - Subramaniam, Macherla
AU - Linn, Kyaw
AU - Subramanian, Panchu
AU - Osterhoff, Georg
AU - Margetis, Konstantinos
N1 - Funding Information:
The AO Spine Injury Classification Systems were developed and funded by AO Spine through the AO Spine Knowledge Forum Trauma, a focused group of international spine trauma experts. AO Spine is a clinical division of the AO Foundation, which is an independent medically guided not-for-profit organization. Study support was provided directly through the AO Spine Research Department.
Funding Information:
The authors of the manuscript would like to thank Olesja Hazenbiller for her assistance in developing the methodology and providing support during the validation. We would also like to thank Christian Knoll and Janik Hilse from the AO Innovation Translation Center for their support with the statistical analysis, developing the methodology, and database structure. Bruno Lourenco Costa, Martin Estefan, Ahmed Dawoud, Ariel Kaen, Sung-Joo Yuh, Segundo Fuego, Francisco Mannara, Gunaseelan Ponnusamy, Tarun Suri, Subiiah Jayakumar, Luis Cuchen Rodriguez, Derek Cawley, Amauri Godinho, Johnny Duerinck, Nicola Montemurro, Kubilay Ozdener, Zachary Hickman, Alsammak Wael, Dilip Gopalakrishnan, Bruno Santos, Olga Morillo, Yasunori Sorimachi, Naohisa Miyakoshi, Mahmoud Alkharsawi, Nimrod Rahamimov, Vijay Loya, Peter Loughenbury, Jose Rodrigues, Nanda Ankur, Olger Alarcon, Nishanth Ampar, Kai Sprengel, Macherla Subramaniam, Kyaw Linn, Panchu Subramanian, Georg Osterhoff, Sergey Mlyavykh, Elias Javier Martinez, Uri Hadelsberg, Alvaro Silva, Parmenion Tsitsopoulos, Satyashiva Munjal, Selim Ayhan, Nigel Gummerson, Anna Rienmuller, Joachim Vahl, Gonzalo Perez, Eugene Park, Alvin Pun, Kartigeyan Madhivanan, Andrey Pershin, Bernhard Ullrich, Nasser Khan, Olver Lermen, Hisco Robijn, Nicolas Gonzalez Masanes, Ali Abdel Aziz, Takeshi Aoyama, Norberto Fernandez, Aaron HJills, Hector Roldan, Alessandro Longo, Furuya Takeo, Tomi Kunej, Jain Vaibhav, Juan Delgado-Fernandez, Guillermo Espinosa Hernandez, Alessandro Ramieri, Lingjie Fu, Andrea Redaelli, Jibin Francis, Bernucci Claudio, Ankit Desai, Pedro Bazan, Rui Manilha, Maximo-Alberto Diez-Ulloa, Lady Lozano, Thami Benzakour, John Koerner, Fabricio Medina, Rian Vieira, O. Clark West, Mohammad El-Sharkawi, Christina Cheng, Rodolfo Paez, Sofien Benzarti, Tarek Elhewala, Stipe Corluka, Ahmad Atan, Bruno Santiago, Jamie Wilson, Raghuraj Kundangar, Pragnesh Bhatt, Amit Bhandutia, Slavisa Zagorac, Shyamasunder Nerrkaje, Anton Denisov, Daniela Linhares, Guillermo Ricciardi, Eugen Cezar Popescu, Dave Bharat, Stacey Darwish, Ricky Rasschaert, Arne Mehrkens, Mohammed Faizan, Sunao Tanaka, Aaron Hockley, Aydinli Ufuk, Michel Triffaux, Oleksandr Garashchuk, Dave Dizon, Rory Murphy, Ahmed Alqatub, Kiran Gurung, Martin Tejeda, Rajesh Lakhey, Arun Viswanadha, Oliver Riesenbeck, Daniel Rapetti, Rakesh Singh, Naveenreddy Vallapureddy, Triki Amine, Osmar Moraes, Dalia Ali, Alberto Balestrino, Luis Luna, Lukas Grassner, Eduardo Laos, Rajendra Rao Ramalu, Sara Lener, Gerardo Zambito, Andrew Patterson, Christian Konrads, Mario Ganau, Mahmoud Shoaib, Konstantinos Paterakis, Zaki Amin, Garg Bhavuk, Adetunji Toluse, Zdenek Klezl, Federico Sartor, Ribakd Rioja, Konstantinos Margetis, Paulo Pereira, Nuno Neves, Darko Perovic, Ratko Yurak, Karmacharya Balgopal, Joost Rutges, Jeronimo Milano, Alfredo Figueiredo, Juan Lourido, Salvatore Russo, Chadi Tannoury, David Orosco Falcone, Matias Pereria Duarte, Sathish Muthu, Hector Aceituno, Devi Tokala, Jose Ballesteros Plaza, Luiz dal Oglio da Rocha, Rodrigo Riera, Shah Gyanendra, Zhang Jun, David Suarez-Fernandez, Ali Oner, Geoffrey Tipper, Ahmad Osundina, Waeel Hamouda, Zacharia Silk, Ignacio Fernandez Bances, Aida Faruk Senan Nur, Anuj Gupta, Saul Murrieta, Francesco Tamburrelli, Miltiadis Georgiopoulos, Amrit Goyal, Sergio Zylbersztejn, Paloma Bas, Deep Sharma, Janardhana Aithala, Sebastian Kornfeld, Sebastian Cruz-Morande, Rehan Hussain, Maria Garcia Pallero, Hideki Nagashima, Hossein Elgafy, Om Patil, Joana Guasque, Ng Bing Wui, Triantafyllos Bouras, Kumar Naresh, Fon-Yih Tsuang, Andreas Morakis, Sebastian Hartmann, Pierre-Pascal Girod, Thomas Reihtmeier, Welege Wimalachandra.
Publisher Copyright:
© 2022, The Author(s).
PY - 2023/1
Y1 - 2023/1
N2 - Purpose: To validate the AO Spine Subaxial Injury Classification System with participants of various experience levels, subspecialties, and geographic regions. Methods: A live webinar was organized in 2020 for validation of the AO Spine Subaxial Injury Classification System. The validation consisted of 41 unique subaxial cervical spine injuries with associated computed tomography scans and key images. Intraobserver reproducibility and interobserver reliability of the AO Spine Subaxial Injury Classification System were calculated for injury morphology, injury subtype, and facet injury. The reliability and reproducibility of the classification system were categorized as slight (ƙ = 0–0.20), fair (ƙ = 0.21–0.40), moderate (ƙ = 0.41–0.60), substantial (ƙ = 0.61–0.80), or excellent (ƙ = > 0.80) as determined by the Landis and Koch classification. Results: A total of 203 AO Spine members participated in the AO Spine Subaxial Injury Classification System validation. The percent of participants accurately classifying each injury was over 90% for fracture morphology and fracture subtype on both assessments. The interobserver reliability for fracture morphology was excellent (ƙ = 0.87), while fracture subtype (ƙ = 0.80) and facet injury were substantial (ƙ = 0.74). The intraobserver reproducibility for fracture morphology and subtype were excellent (ƙ = 0.85, 0.88, respectively), while reproducibility for facet injuries was substantial (ƙ = 0.76). Conclusion: The AO Spine Subaxial Injury Classification System demonstrated excellent interobserver reliability and intraobserver reproducibility for fracture morphology, substantial reliability and reproducibility for facet injuries, and excellent reproducibility with substantial reliability for injury subtype.
AB - Purpose: To validate the AO Spine Subaxial Injury Classification System with participants of various experience levels, subspecialties, and geographic regions. Methods: A live webinar was organized in 2020 for validation of the AO Spine Subaxial Injury Classification System. The validation consisted of 41 unique subaxial cervical spine injuries with associated computed tomography scans and key images. Intraobserver reproducibility and interobserver reliability of the AO Spine Subaxial Injury Classification System were calculated for injury morphology, injury subtype, and facet injury. The reliability and reproducibility of the classification system were categorized as slight (ƙ = 0–0.20), fair (ƙ = 0.21–0.40), moderate (ƙ = 0.41–0.60), substantial (ƙ = 0.61–0.80), or excellent (ƙ = > 0.80) as determined by the Landis and Koch classification. Results: A total of 203 AO Spine members participated in the AO Spine Subaxial Injury Classification System validation. The percent of participants accurately classifying each injury was over 90% for fracture morphology and fracture subtype on both assessments. The interobserver reliability for fracture morphology was excellent (ƙ = 0.87), while fracture subtype (ƙ = 0.80) and facet injury were substantial (ƙ = 0.74). The intraobserver reproducibility for fracture morphology and subtype were excellent (ƙ = 0.85, 0.88, respectively), while reproducibility for facet injuries was substantial (ƙ = 0.76). Conclusion: The AO Spine Subaxial Injury Classification System demonstrated excellent interobserver reliability and intraobserver reproducibility for fracture morphology, substantial reliability and reproducibility for facet injuries, and excellent reproducibility with substantial reliability for injury subtype.
KW - AO spine
KW - AO trauma
KW - Cervical spine
KW - Classification
KW - Validation
UR - http://www.scopus.com/inward/record.url?scp=85143208456&partnerID=8YFLogxK
U2 - 10.1007/s00586-022-07467-6
DO - 10.1007/s00586-022-07467-6
M3 - Article
C2 - 36449081
AN - SCOPUS:85143208456
SN - 0940-6719
VL - 32
SP - 46
EP - 54
JO - European Spine Journal
JF - European Spine Journal
IS - 1
ER -