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The purpose of our study is to evaluate whether Roussouly classification or global alignment and proportion (GAP) score is more appropriate in the prediction of mechanical complications after surgical treatment of ADS.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Methods<\/jats:title>\n                <jats:p>ADS patients who received long segmental fusion in the treatment during the period from December 2016 to December 2018 were evaluated in this study. Basic information and radiologic measurements were collected for analysis. Patients were divided into two groups according to occurrence or absence of mechanical complications for comparison. Mechanical complications included proximal junctional kyphosis (PJK), proximal junctional failure (PJF). GAP categories divided GAP score into proportioned spinopelvic position, moderately disproportioned position, and severely disproportioned position according to the cut-off values. The correlation between evaluation systems and mechanical complications was analyzed through a logistic regression model via stepwise backward elimination based on the Wald statistics. Receiver operator characteristic (ROC) curve was used to determine the predictability of the evaluation systems in the occurrence of mechanical complications and calculate their cut-off value. Area under the curve (AUC) was used to evaluate the validity of the thresholds.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>A total of 80 patients were included in this study. There were 41 patients in mechanical complication group and 39 patients in no mechanical complication group. GAP score (<jats:italic>P<\/jats:italic>\u2009=\u20090.008) and GAP categories (<jats:italic>P<\/jats:italic>\u2009=\u20090.007) were positively correlated with mechanical complications; Roussouly score was negatively correlated with mechanical complications (<jats:italic>P<\/jats:italic>\u2009=\u20090.034); GAP score was positively correlated with PJK (<jats:italic>P<\/jats:italic>\u2009=\u20090.021); Roussouly score was negatively correlated with implant-related complications (<jats:italic>P<\/jats:italic>\u2009=\u20090.018); GAP categories were correlated with implant loosening (<jats:italic>P<\/jats:italic>\u2009=\u20090.023). Results of ROC showed that GAP score was more effective in predicting PJK (AUC\u2009=\u20090.863) and PJF (AUC\u2009=\u20090.724) than Roussouly score; GAP categories (AUC\u2009=\u20090.561) was more effective than GAP score (AUC\u2009=\u20090.555) in predicting implant-related complications.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusions<\/jats:title>\n                <jats:p>Roussouly classification could only be a rough estimate of optimal spinopelvic alignment. Quantitative parameters in GAP score made it more effective in predicting mechanical complications, PJK and PJF than Roussouly classification.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/s13018-021-02786-8","type":"journal-article","created":{"date-parts":[[2021,10,26]],"date-time":"2021-10-26T16:03:20Z","timestamp":1635264200000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Which sagittal evaluation system can effectively predict mechanical complications in the treatment of elderly patients with adult degenerative scoliosis? Roussouly classification or Global Alignment and Proportion (GAP) Score"],"prefix":"10.1186","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9385-2402","authenticated-orcid":false,"given":"Xiangyao","family":"Sun","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenzhi","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Siyuan","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hailiang","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sitao","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chao","family":"Kong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shibao","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,10,26]]},"reference":[{"issue":"1","key":"2786_CR1","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1007\/s00586-019-06176-x","volume":"29","author":"J Pizones","year":"2020","unstructured":"Pizones J, Moreno-Manzanaro L, Sanchez PF, Vila-Casademunt A, Yilgor C, Obeid I, Alanay A, Kleinstuck F, Acaroglu ER, Pellise F. 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