Takashi Fujishiro, Louis Boissière, Derek Thomas Cawley, Daniel Larrieu, Olivier Gille, Jean-Marc Vital, Ferran Pellisé, Francisco Javier Sanchez Pérez-Grueso, Frank Kleinstück, Emre Acaroglu, Ahmet Alanay, Ibrahim Obeid
March 2019, pp 1 - 9 Original Article Read Full Article 10.1007/s00586-019-05932-3
First Online: 07 March 2019
We aimed to develop and internally validate a simple scoring system: the adult spinal deformity (ASD) surgical decision-making (ASD-SDM) score, which is specific to the decision-making process for ASD patients aged below 40 years.
A multicentre prospective ASD database was retrospectively reviewed. The scoring system was developed using data from a derivation cohort and was internally validated in a validation cohort. The accuracy of the ASD-SDM score was assessed using the area under the receiver operating characteristic curve (AUC).
A total of 316 patients were randomly divided into derivation (253 patients, 80%) and validation (63 patients, 20%) cohorts. A 10-point scoring system was created from four variables: self-image score in the Scoliosis Research Society-22 score, coronal Cobb angle, pelvic incidence minus lumbar lordosis mismatch, and relative spinopelvic alignment, and the surgical indication was graded into low (score 0–4), moderate (score 5–7), and high (score 8–10) surgical indication groups. In the validation cohort, the AUC for selecting surgical management according to the ASD-SDM score was 0.789 (SE 0.057, P
The ASD-SDM score, to the best of our knowledge, is the first algorithm to guide the decision-making process for the ASD population and could be one of the indices for aiding the selection of treatment for ASD.
These slides can be retrieved under Electronic Supplementary Material.[Figure not available: see fulltext.]
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