Classifying Patients Operated for Spondylolisthesis: A K-Means Clustering Analysis of Clinical Presentation Phenotypes.

dc.contributor.author

Chan, Andrew K

dc.contributor.author

Wozny, Thomas A

dc.contributor.author

Bisson, Erica F

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Pennicooke, Brenton H

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Bydon, Mohamad

dc.contributor.author

Glassman, Steven D

dc.contributor.author

Foley, Kevin T

dc.contributor.author

Shaffrey, Christopher I

dc.contributor.author

Potts, Eric A

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Shaffrey, Mark E

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Coric, Domagoj

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Knightly, John J

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Park, Paul

dc.contributor.author

Wang, Michael Y

dc.contributor.author

Fu, Kai-Ming

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Slotkin, Jonathan R

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Asher, Anthony L

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Virk, Michael S

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Kerezoudis, Panagiotis

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Alvi, Mohammed A

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Guan, Jian

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Haid, Regis W

dc.contributor.author

Mummaneni, Praveen V

dc.date.accessioned

2023-06-16T16:07:13Z

dc.date.available

2023-06-16T16:07:13Z

dc.date.issued

2021-11

dc.date.updated

2023-06-16T16:07:12Z

dc.description.abstract

Background

Trials of lumbar spondylolisthesis are difficult to compare because of the heterogeneity in the populations studied.

Objective

To define patterns of clinical presentation.

Methods

This is a study of the prospective Quality Outcomes Database spondylolisthesis registry, including patients who underwent single-segment surgery for grade 1 degenerative lumbar spondylolisthesis. Twenty-four-month patient-reported outcomes (PROs) were collected. A k-means clustering analysis-an unsupervised machine learning algorithm-was used to identify clinical presentation phenotypes.

Results

Overall, 608 patients were identified, of which 507 (83.4%) had 24-mo follow-up. Clustering revealed 2 distinct cohorts. Cluster 1 (high disease burden) was younger, had higher body mass index (BMI) and American Society of Anesthesiologist (ASA) grades, and globally worse baseline PROs. Cluster 2 (intermediate disease burden) was older and had lower BMI and ASA grades, and intermediate baseline PROs. Baseline radiographic parameters were similar (P > .05). Both clusters improved clinically (P < .001 all 24-mo PROs). In multivariable adjusted analyses, mean 24-mo Oswestry Disability Index (ODI), Numeric Rating Scale Back Pain (NRS-BP), Numeric Rating Scale Leg Pain, and EuroQol-5D (EQ-5D) were markedly worse for the high-disease-burden cluster (adjusted-P < .001). However, the high-disease-burden cluster demonstrated greater 24-mo improvements for ODI, NRS-BP, and EQ-5D (adjusted-P < .05) and a higher proportion reaching ODI minimal clinically important difference (MCID) (adjusted-P = .001). High-disease-burden cluster had lower satisfaction (adjusted-P = .02).

Conclusion

We define 2 distinct phenotypes-those with high vs intermediate disease burden-operated for lumbar spondylolisthesis. Those with high disease burden were less satisfied, had a lower quality of life, and more disability, more back pain, and more leg pain than those with intermediate disease burden, but had greater magnitudes of improvement in disability, back pain, quality of life, and more often reached ODI MCID.
dc.identifier

6389652

dc.identifier.issn

0148-396X

dc.identifier.issn

1524-4040

dc.identifier.uri

https://hdl.handle.net/10161/28062

dc.language

eng

dc.publisher

Ovid Technologies (Wolters Kluwer Health)

dc.relation.ispartof

Neurosurgery

dc.relation.isversionof

10.1093/neuros/nyab355

dc.subject

Lumbar Vertebrae

dc.subject

Humans

dc.subject

Spondylolisthesis

dc.subject

Treatment Outcome

dc.subject

Cluster Analysis

dc.subject

Prospective Studies

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Phenotype

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Quality of Life

dc.title

Classifying Patients Operated for Spondylolisthesis: A K-Means Clustering Analysis of Clinical Presentation Phenotypes.

dc.type

Journal article

duke.contributor.orcid

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

pubs.begin-page

1033

pubs.end-page

1041

pubs.issue

6

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

89

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