166 Predictive Modeling of Length of Hospital Stay Following Adult Spinal Deformity Correction: Analysis of 653 Patients With an Accuracy of 75% Within 2 Days

dc.contributor.author

Scheer, JK

dc.contributor.author

Ailon, TT

dc.contributor.author

Smith, JS

dc.contributor.author

Hart, R

dc.contributor.author

Burton, DC

dc.contributor.author

Bess, S

dc.contributor.author

Neuman, BJ

dc.contributor.author

Passias, PG

dc.contributor.author

Miller, E

dc.contributor.author

Shaffrey, CI

dc.contributor.author

Schwab, F

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Lafage, V

dc.contributor.author

Klineberg, E

dc.contributor.author

Ames, CP

dc.date.accessioned

2023-07-20T13:56:51Z

dc.date.available

2023-07-20T13:56:51Z

dc.date.issued

2016-08-01

dc.date.updated

2023-07-20T13:56:51Z

dc.description.abstract

INTRODUCTION: The length of stay (LOS) following adult spinal deformity (ASD) surgery is a critical time period allowing for recovery to levels safe enough to return home or to rehabilitation. Thus, the goal is to minimize it for conserving hospital resources and third-party payer pressure. Factors related to LOS have not been studied nor has a predictive model been created. The goal of this study was to construct a preadmission predictive model based on patients' baseline variables and modifiable surgical parameters.

dc.identifier.issn

0148-396X

dc.identifier.issn

1524-4040

dc.identifier.uri

https://hdl.handle.net/10161/28459

dc.language

en

dc.publisher

Ovid Technologies (Wolters Kluwer Health)

dc.relation.ispartof

Neurosurgery

dc.relation.isversionof

10.1227/01.neu.0000489735.46846.2b

dc.title

166 Predictive Modeling of Length of Hospital Stay Following Adult Spinal Deformity Correction: Analysis of 653 Patients With an Accuracy of 75% Within 2 Days

dc.type

Journal article

duke.contributor.orcid

Passias, PG|0000-0002-1479-4070|0000-0003-2635-2226

duke.contributor.orcid

Shaffrey, CI|0000-0001-9760-8386

pubs.begin-page

166

pubs.end-page

167

pubs.issue

Supplement 1

pubs.organisational-group

Duke

pubs.organisational-group

School of Medicine

pubs.organisational-group

Clinical Science Departments

pubs.organisational-group

Orthopaedic Surgery

pubs.organisational-group

Neurosurgery

pubs.publication-status

Published

pubs.volume

63

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