Defining cervical spondylotic myelopathy surgical endotypes using comorbidity clustering: a Quality Outcomes Database cervical spondylotic myelopathy study.

dc.contributor.author

Yang, Eunice

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Howell, Harrison

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Mummaneni, Praveen V

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Chou, Dean

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Bydon, Mohamad

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Bisson, Erica F

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Shaffrey, Christopher I

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Gottfried, Oren N

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Asher, Anthony L

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Coric, Domagoj

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Potts, Eric A

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Foley, Kevin T

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Wang, Michael Y

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Fu, Kai-Ming

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Virk, Michael S

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Knightly, John J

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Meyer, Scott

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Park, Paul

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Upadhyaya, Cheerag D

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Yen, Chun-Po

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Uribe, Juan S

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Tumialán, Luis M

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Turner, Jay D

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Haid, Regis W

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Chan, Andrew K

dc.date.accessioned

2025-07-08T14:19:44Z

dc.date.available

2025-07-08T14:19:44Z

dc.date.issued

2025-07

dc.description.abstract

Coexisting medical conditions are increasingly prevalent in surgical populations. The impact of multiple comorbidities on patient-reported outcomes (PROs) and endotypes of frequently co-occurring conditions for cervical spondylotic myelopathy (CSM) remain unclear. This study explores whether CSM patients with multimorbidity have worse baseline and postoperative PROs and less functional improvement after surgery compared to those with few or no comorbidities. The authors also investigated whether distinct comorbidity endotypes exist among CSM surgical patients and whether they influence postoperative outcomes. The prospective Quality Outcomes Database (QOD) was used to assess patients undergoing surgery for CSM. Multimorbidity was defined as ≥ 2 chronic conditions, including diabetes, coronary artery disease, peripheral vascular disease, arthritis, chronic renal disease, chronic obstructive pulmonary disease, Parkinson's disease, multiple sclerosis, depression, and anxiety. Baseline characteristics and 24-month PROs were assessed across multiple-comorbidity status, including modified Japanese Orthopaedic Association (mJOA), Neck Disability Index (NDI), visual analog scale for neck and arm pain, EQ-5D, and patient satisfaction scores. Clusters were identified from the full cohort using k-medoids, revealing subgroups with similar comorbidity endotypes. The final cohort included 1141 CSM patients (83.1% reaching 24-month follow-up), with 761 (66.7%) having 0 or 1 comorbidity and 380 (33.3%) ≥ 2 comorbidities. The multimorbidity cohort was older (mean age 62.6 ± 11.2 vs 59.5 ± 12.0 years, p < 0.001), more likely to be female (52.9% vs 44.7%, p = 0.011), and had a higher BMI (mean 31.1 ± 6.7 vs 29.7 ± 6.2 kg/m2, p < 0.001). Multimorbidity patients exhibited worse mJOA, NDI, and EQ-5D scores at baseline and 24 months (p < 0.05). On multivariable analysis, the total number of comorbidities was not significantly associated with any PRO measures. Four comorbidity clusters were identified: low burden, arthritis, diabetes, and high burden. On one-way ANOVA, the baseline mJOA score was significantly different across clusters (p = 0.003). At 24 months, the mJOA score was significantly lower in the diabetes and high-burden endotypes. Twenty-four-month score change and minimal clinically important difference (MCID) achievement of all PROs remained similar across clusters (p > 0.05). While patients with multimorbidity have worse baseline and postoperative PROs, they achieve similar functional and pain-related improvements following CSM surgery. Similarly, the comorbidity endotypes identified in this QOD cohort suggest that certain patterns of coexisting chronic conditions, such as overlapping diabetes and arthritis, are associated with different levels of disability but may not diminish the effectiveness of surgical intervention.

dc.identifier.issn

1092-0684

dc.identifier.issn

1092-0684

dc.identifier.uri

https://hdl.handle.net/10161/32993

dc.language

eng

dc.publisher

Journal of Neurosurgery Publishing Group (JNSPG)

dc.relation.ispartof

Neurosurgical focus

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10.3171/2025.4.focus25207

dc.rights.uri

https://creativecommons.org/licenses/by-nc/4.0

dc.subject

Cervical Vertebrae

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Humans

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Spinal Cord Diseases

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Treatment Outcome

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Cluster Analysis

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Prospective Studies

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Comorbidity

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Databases, Factual

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Aged

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Middle Aged

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Female

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Male

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Spondylosis

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Patient Reported Outcome Measures

dc.title

Defining cervical spondylotic myelopathy surgical endotypes using comorbidity clustering: a Quality Outcomes Database cervical spondylotic myelopathy study.

dc.type

Journal article

duke.contributor.orcid

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

pubs.begin-page

E4

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1

pubs.organisational-group

Duke

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School of Medicine

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Clinical Science Departments

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Orthopaedic Surgery

pubs.organisational-group

Neurosurgery

pubs.publication-status

Published

pubs.volume

59

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