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A predictive model and nomogram for predicting return to work at 3 months after cervical spine surgery: an analysis from the Quality Outcomes Database.

Publication ,  Journal Article
Devin, CJ; Bydon, M; Alvi, MA; Kerezoudis, P; Khan, I; Sivaganesan, A; McGirt, MJ; Archer, KR; Foley, KT; Mummaneni, PV; Bisson, EF; Asher, AL ...
Published in: Neurosurg Focus
November 1, 2018

OBJECTIVEBack pain and neck pain are two of the most common causes of work loss due to disability, which poses an economic burden on society. Due to recent changes in healthcare policies, patient-centered outcomes including return to work have been increasingly prioritized by physicians and hospitals to optimize healthcare delivery. In this study, the authors used a national spine registry to identify clinical factors associated with return to work at 3 months among patients undergoing a cervical spine surgery.METHODSThe authors queried the Quality Outcomes Database registry for information collected from April 2013 through March 2017 for preoperatively employed patients undergoing cervical spine surgery for degenerative spine disease. Covariates included demographic, clinical, and operative variables, and baseline patient-reported outcomes. Multiple imputations were used for missing values and multivariable logistic regression analysis was used to identify factors associated with higher odds of returning to work. Bootstrap resampling (200 iterations) was used to assess the validity of the model. A nomogram was constructed using the results of the multivariable model.RESULTSA total of 4689 patients were analyzed, of whom 82.2% (n = 3854) returned to work at 3 months postoperatively. Among previously employed and working patients, 89.3% (n = 3443) returned to work compared to 52.3% (n = 411) among those who were employed but not working (e.g., were on a leave) at the time of surgery (p < 0.001). On multivariable logistic regression the authors found that patients who were less likely to return to work were older (age > 56-65 years: OR 0.69, 95% CI 0.57-0.85, p < 0.001; age > 65 years: OR 0.65, 95% CI 0.43-0.97, p = 0.02); were employed but not working (OR 0.24, 95% CI 0.20-0.29, p < 0.001); were employed part time (OR 0.56, 95% CI 0.42-0.76, p < 0.001); had a heavy-intensity (OR 0.42, 95% CI 0.32-0.54, p < 0.001) or medium-intensity (OR 0.59, 95% CI 0.46-0.76, p < 0.001) occupation compared to a sedentary occupation type; had workers' compensation (OR 0.38, 95% CI 0.28-0.53, p < 0.001); had a higher Neck Disability Index score at baseline (OR 0.60, 95% CI 0.51-0.70, p = 0.017); were more likely to present with myelopathy (OR 0.52, 95% CI 0.42-0.63, p < 0.001); and had more levels fused (3-5 levels: OR 0.46, 95% CI 0.35-0.61, p < 0.001). Using the multivariable analysis, the authors then constructed a nomogram to predict return to work, which was found to have an area under the curve of 0.812 and good validity.CONCLUSIONSReturn to work is a crucial outcome that is being increasingly prioritized for employed patients undergoing spine surgery. The results from this study could help surgeons identify at-risk patients so that preoperative expectations could be discussed more comprehensively.

Duke Scholars

Published In

Neurosurg Focus

DOI

EISSN

1092-0684

Publication Date

November 1, 2018

Volume

45

Issue

5

Start / End Page

E9

Location

United States

Related Subject Headings

  • Treatment Outcome
  • Time Factors
  • Return to Work
  • Registries
  • Quality Indicators, Health Care
  • Prospective Studies
  • Predictive Value of Tests
  • Nomograms
  • Neurology & Neurosurgery
  • Neck Pain
 

Citation

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Devin, C. J., Bydon, M., Alvi, M. A., Kerezoudis, P., Khan, I., Sivaganesan, A., … Asher, A. L. (2018). A predictive model and nomogram for predicting return to work at 3 months after cervical spine surgery: an analysis from the Quality Outcomes Database. Neurosurg Focus, 45(5), E9. https://doi.org/10.3171/2018.8.FOCUS18326
Devin, Clinton J., Mohamad Bydon, Mohammed Ali Alvi, Panagiotis Kerezoudis, Inamullah Khan, Ahilan Sivaganesan, Matthew J. McGirt, et al. “A predictive model and nomogram for predicting return to work at 3 months after cervical spine surgery: an analysis from the Quality Outcomes Database.Neurosurg Focus 45, no. 5 (November 1, 2018): E9. https://doi.org/10.3171/2018.8.FOCUS18326.
Devin CJ, Bydon M, Alvi MA, Kerezoudis P, Khan I, Sivaganesan A, et al. A predictive model and nomogram for predicting return to work at 3 months after cervical spine surgery: an analysis from the Quality Outcomes Database. Neurosurg Focus. 2018 Nov 1;45(5):E9.
Devin, Clinton J., et al. “A predictive model and nomogram for predicting return to work at 3 months after cervical spine surgery: an analysis from the Quality Outcomes Database.Neurosurg Focus, vol. 45, no. 5, Nov. 2018, p. E9. Pubmed, doi:10.3171/2018.8.FOCUS18326.
Devin CJ, Bydon M, Alvi MA, Kerezoudis P, Khan I, Sivaganesan A, McGirt MJ, Archer KR, Foley KT, Mummaneni PV, Bisson EF, Knightly JJ, Shaffrey CI, Asher AL. A predictive model and nomogram for predicting return to work at 3 months after cervical spine surgery: an analysis from the Quality Outcomes Database. Neurosurg Focus. 2018 Nov 1;45(5):E9.

Published In

Neurosurg Focus

DOI

EISSN

1092-0684

Publication Date

November 1, 2018

Volume

45

Issue

5

Start / End Page

E9

Location

United States

Related Subject Headings

  • Treatment Outcome
  • Time Factors
  • Return to Work
  • Registries
  • Quality Indicators, Health Care
  • Prospective Studies
  • Predictive Value of Tests
  • Nomograms
  • Neurology & Neurosurgery
  • Neck Pain