Predictive model for achieving good clinical and radiographic outcomes at one-year following surgical correction of adult cervical deformity.

dc.contributor.author

Passias, Peter Gust

dc.contributor.author

Horn, Samantha R

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Oh, Cheongeun

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Poorman, Gregory W

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Bortz, Cole

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Segreto, Frank

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Lafage, Renaud

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Diebo, Bassel

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Scheer, Justin K

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Smith, Justin S

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Shaffrey, Christopher I

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Eastlack, Robert

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Sciubba, Daniel M

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Protopsaltis, Themistocles

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Kim, Han Jo

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Hart, Robert A

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Lafage, Virginie

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Ames, Christopher P

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International Spine Study Group

dc.date.accessioned

2023-06-16T16:51:34Z

dc.date.available

2023-06-16T16:51:34Z

dc.date.issued

2021-07

dc.date.updated

2023-06-16T16:51:33Z

dc.description.abstract

Background

For cervical deformity (CD) surgery, goals include realignment, improved patient quality of life, and improved clinical outcomes. There is limited research identifying patients most likely to achieve all three.

Objective

The objective is to create a model predicting good 1-year postoperative realignment, quality of life, and clinical outcomes following CD surgery using baseline demographic, clinical, and radiographic factors.

Methods

Retrospective review of a multicenter CD database. CD patients were defined as having one of the following radiographic criteria: Cervical sagittal vertical axis (cSVA) >4 cm, cervical kyphosis/scoliosis >10°° or chin-brow vertical angle >25°. The outcome assessed was whether a patient achieved both a good radiographic and clinical outcome. The primary analysis was stepwise regression models which generated a dataset-specific prediction model for achieving a good radiographic and clinical outcome. Model internal validation was achieved by bootstrapping and calculating the area under the curve (AUC) of the final model with 95% confidence intervals.

Results

Seventy-three CD patients were included (61.8 years, 58.9% F). The final model predicting the achievement of a good overall outcome (radiographic and clinical) yielded an AUC of 73.5% and included the following baseline demographic, clinical, and radiographic factors: mild-moderate myelopathy (Modified Japanese Orthopedic Association >12), no pedicle subtraction osteotomy, no prior cervical spine surgery, posterior lowest instrumented vertebra (LIV) at T1 or above, thoracic kyphosis >33°°, T1 slope <16 and cSVA <20 mm.

Conclusions

Achievement of a positive outcome in radiographic and clinical outcomes following surgical correction of CD can be predicted with high accuracy using a combination of demographic, clinical, radiographic, and surgical factors, with the top factors being baseline cSVA <20 mm, no prior cervical surgery, and posterior LIV at T1 or above.
dc.identifier

JCVJS-12-228

dc.identifier.issn

0974-8237

dc.identifier.issn

0976-9285

dc.identifier.uri

https://hdl.handle.net/10161/28090

dc.language

eng

dc.publisher

Medknow

dc.relation.ispartof

Journal of craniovertebral junction & spine

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10.4103/jcvjs.jcvjs_40_21

dc.subject

International Spine Study Group

dc.title

Predictive model for achieving good clinical and radiographic outcomes at one-year following surgical correction of adult cervical deformity.

dc.type

Journal article

duke.contributor.orcid

Passias, Peter Gust|0000-0002-1479-4070|0000-0003-2635-2226

duke.contributor.orcid

Shaffrey, Christopher I|0000-0001-9760-8386

pubs.begin-page

228

pubs.end-page

235

pubs.issue

3

pubs.organisational-group

Duke

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School of Medicine

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Clinical Science Departments

pubs.organisational-group

Orthopaedic Surgery

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Neurosurgery

pubs.publication-status

Published

pubs.volume

12

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