Skip to main content

Advertisement

Log in

Predictive model for major complications 2 years after corrective spine surgery for adult spinal deformity

  • Original Article
  • Published:
European Spine Journal Aims and scope Submit manuscript

Abstract

Purpose

ASD surgery improves a patient’s health-related quality of life, but it has a high complication rate. The aim of this study was to create a predictive model for complications after surgical treatment for adult spinal deformity (ASD), using spinal alignment, demographic data, and surgical invasiveness.

Methods

This study included 195 surgically treated ASD patients who were > 50 years old and had 2-year follow-up from multicenter database. Variables which included age, gender, BMI, BMD, frailty, fusion level, UIV and LIV, primary or revision surgery, pedicle subtraction osteotomy, spinal alignment, Schwab-SRS type, surgical time, and blood loss were recorded and analyzed at least 2 years after surgery. Decision-making trees for 2-year postoperative complications were constructed and validated by a 7:3 data split for training and testing. External validation was performed for 25 ASD patients who had surgery at a different hospital.

Results

Complications developed in 48% of the training samples. Almost half of the complications developed in late post-op period, and implant-related complications were the most common complication at 2 years after surgery. Univariate analyses showed that BMD, frailty, PSO, LIV, PI-LL, and EBL were risk factors for complications. Multivariate analysis showed that low BMD, PI-LL > 30°, and frailty were independent risk factors for complications. In the testing samples, our predictive model was 92% accurate with an area under the receiver operating characteristic curve of 0.963 and 84% accurate in the external validation.

Conclusion

A successful model was developed for predicting surgical complications. Our model could inform physicians about the risk of complications in ASD patients in the 2-year postoperative period.

Graphical abstract

These slides can be retrieved under Electronic Supplementary Material.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  1. Schwab F, Ungar B, Blondel B et al (2012) Scoliosis Research Society—Schwab adult spinal deformity classification: a validation study. Spine 37:1077–1082

    Article  PubMed  Google Scholar 

  2. Soroceanu A, Burton DC, Oren JH et al (2016) Medical complications after adult spinal deformity surgery: incidence, risk factors, and clinical impact. Spine 41:1718–1723

    Article  PubMed  Google Scholar 

  3. Terran J, Schwab F, Shaffrey CI et al (2013) The SRS-Schwab adult spinal deformity classification: assessment and clinical correlations based on a prospective operative and nonoperative cohort. Neurosurgery 73:559–568

    Article  PubMed  Google Scholar 

  4. Poorman GW, Passias PG, Buckland AJ et al (2017) Comparative analysis of peri-operative outcomes using nationally derived hospital discharge data relative to a prospective multi-center surgical database of adult spinal deformity surgery. Spine 42(15):1165–1171

    Article  PubMed  Google Scholar 

  5. Smith JS, Lafage V, Shaffrey CI et al (2016) Outcomes of operative and nonoperative treatment for adult spinal deformity: a prospective, multicenter, propensity-matched cohort assessment with minimum 2-year follow-up. Neurosurgery 78(6):851–856

    Article  PubMed  Google Scholar 

  6. DeWald CJ, Stanley T (2006) Instrumentation-related complications of multilevel fusions for adult spinal deformity patients over age 65: surgical considerations and treatment options in patients with poor bone quality. Spine 31:S144–S151

    Article  PubMed  Google Scholar 

  7. Yagi M, Hosogane N, Okada E et al (2014) Factors affecting the post operative progression of thoracic kyphosis in surgically treated adult patient with lumbar degenerative scoliosis. Spine 39:E521–E528

    Article  PubMed  Google Scholar 

  8. Yagi M, Rahm M, Gaines R et al (2014) Characterization and surgical outcomes of proximal junctional failure (PJF) in surgically treated adult spine deformity patients. Spine 39:E607–E614

    Article  PubMed  Google Scholar 

  9. Yagi M, King AB, Boachie-Adjei O (2012) Incidence, risk factors, and natural course of proximal junctional kyphosis: surgical outcomes review of adult idiopathic scoliosis. Minimum 5 years of follow-up. Spine 37(17):1479–1489

    Article  PubMed  Google Scholar 

  10. Cho SK, Bridwell KH, Lenke LG et al (2010) Major complication in revision adult deformity surgery: risk factors and clinical outcomes with 2- to 7-year follow-up. Spine 37:489–500

    Article  Google Scholar 

  11. Simon MJK, Halm HFH, Quante M (2018) Perioperative complications after surgical treatment in degenerative adult de novo scoliosis. BMC Musculoskelet Disord 19(1):10

    Article  PubMed  PubMed Central  Google Scholar 

  12. Schwab FJ, Lafage V, Farcy JP et al (2008) Predicting outcome and complications in the surgical treatment of adult scoliosis. Spine 33(20):2243–2247

    Article  PubMed  Google Scholar 

  13. Lebude B, Yadla S, Albert T et al (2010) Defining “complications” in spine surgery: neurosurgery and orthopedic spine surgeons’ survey. J Spinal Disord Tech 23(8):493–500

    Article  PubMed  Google Scholar 

  14. Yagi M, Cunningham E, King A et al (2013) Long term clinical and radiographic outcomes of pedicle subtraction osteotomy for fixed sagittal imbalance: Does level of proximal fusion affect the outcome?—minimum 5 years follow-up. Spine Deform 1:123–131

    Article  PubMed  Google Scholar 

  15. Veeravagu A, Li A, Swinney C, Tian L et al (2017) Predicting complication risk in spine surgery: a prospective analysis of a novel risk assessment tool. J Neurosurg Spine 27(1):81–91

    Article  PubMed  Google Scholar 

  16. Mirza SK, Deyo RA, Heagerty PJ et al (2006) Towards standardized measurement of adverse events in spine surgery: conceptual model and pilot evaluation. BMC Musculoskelet Disord 7:53

    Article  PubMed  PubMed Central  Google Scholar 

  17. Glassman SD, Bridwell K, Dimar JR et al (2005) The impact of positive sagittal balance in adult spinal deformity. Spine 30(18):2024–2029

    Article  PubMed  Google Scholar 

  18. Leven DM, Lee NJ, Kothari P et al (2017) Frailty index is a significant predictor of complications and mortality after surgery for adult spinal deformity. Spine 41(23):E1394–E1401

    Article  Google Scholar 

  19. Cepeda MS, Boston R, Farrar JT et al (2003) Comparison of logistic regression versus propensity score when the number of events is low and there are multiple confounders. Am J Epidemiol 158(3):280–287

    Article  PubMed  Google Scholar 

  20. Charlson ME, Pompei P, Ales KL et al (1987) A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis 40(5):373–383

    Article  CAS  PubMed  Google Scholar 

  21. Adams P, Ghanem T, Stachler R et al (2013) Frailty as a predictor of morbidity and mortality in inpatient head and neck surgery. JAMA Otolaryngol Head Neck Surg 139(8):783–789

    Article  PubMed  Google Scholar 

  22. Karam J, Tsiouris A, Shepard A et al (2013) Simplified frailty index to predict adverse outcomes and mortality in vascular surgery patients. Ann Vasc Surg 27(7):904–908

    Article  PubMed  Google Scholar 

  23. Scheer JK, Smith JS, Schwab F et al (2017) Development of a preoperative predictive model for major complications following adult spinal deformity surgery. J Neurosurg Spine 26(6):736–743

    Article  PubMed  Google Scholar 

  24. Abbott D (2014) Applied predictive analytics: principles and techniques for the professional data analyst, 1st edn. Wiley, Indianapolis

    Google Scholar 

  25. Yagi M, Fujita N, Okada E et al (2017) Fine-tuning the predictive model for proximal junctional failure in surgically treated patients with adult spinal deformity. Spine 43(11):767–773

    Article  Google Scholar 

  26. Diebo BG, Gammal I, Ha Y et al (2018) Role of ethnicity in alignment compensation: propensity matched analysis of differential compensatory mechanism recruitment patterns for sagittal malalignment in 288 ASD patients from Japan, Korea, and United States. Spine 42(4):E234–E240

    Article  Google Scholar 

  27. Glassman SD, Hamill CL, Bridwell KH et al (2007) The impact of perioperative complications on clinical outcome in adult deformity surgery. Spine 32:2764–2770

    Article  PubMed  Google Scholar 

  28. Pellisé F, Vila-Casademunt A, Núñez-Pereira S et al (2018) The Adult Deformity Surgery Complexity Index (ADSCI): a valid tool to quantify the complexity of posterior adult spinal deformity surgery and predict postoperative complications. Spine J 18(2):216–225

    Article  PubMed  Google Scholar 

  29. Buchlak QD, Yanamadala V, Leveque JC et al (2017) The Seattle spine score: predicting 30-day complication risk in adult spinal deformity surgery. J Clin Neurosci 43:247–255

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

This study was approved by the appropriate institutional review board.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kota Watanabe.

Ethics declarations

Conflict of interest

The authors report no conflict of interest.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (PPTX 21467 kb)

Supplementary material 2 (PPTX 146 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yagi, M., Hosogane, N., Fujita, N. et al. Predictive model for major complications 2 years after corrective spine surgery for adult spinal deformity. Eur Spine J 28, 180–187 (2019). https://doi.org/10.1007/s00586-018-5816-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00586-018-5816-5

Keywords

Navigation