Skip to main content

Advertisement

Log in

Surgical correction of Adult Spinal Deformity in accordance to the Roussouly classification: effect on postoperative mechanical complications

  • Case Series
  • Published:
Spine Deformity Aims and scope Submit manuscript

Abstract

Study design

Single-center, retrospective.

Objectives

To assess the restoration of ideal sagittal spine shape in accordance to the Roussouly classification and the effect on postoperative mechanical complications.

Summary of background data

Surgical correction of Adult Spinal Deformity is both challenging and complex. The risk of postoperative complications is considerable, especially mechanical complications requiring revision surgery. Attention has been directed toward defining alignment targets in attempts to minimize these risks, and the Roussouly classification has been proposed as a potential surgical aim.

Methods

All patients undergoing ASD surgery from 2013–2016 were included at a single, quaternary institute. Successful restoration of Roussouly spine shape was retrospectively assessed, and patients were classified as either “restored” or “non-restored”. Cumulative incidence of revision surgery due to mechanical failure was estimated using the Aalen–Johansen estimator, with death as the competing risk. A multivariable proportional odds model was used to estimate the effect of the Roussouly algorithm on revision surgery due to mechanical failure.

Results

We identified a complete and consecutive cohort of 233 patients who were followed for a mean period of 36 (± 14) months. The 2-year cumulative incidence of revision surgery was 28%. Comparing the “restored” to the “non-restored” group, the overall revision rates were high in both groups. However, when adjusting for known cofounders in a multivariable proportional odds analysis, there was an almost fivefold increased odds of revision due to mechanical failure in the “non-restored” group (p = 0.036).

Conclusion

Surgical correction of ASD in accordance to the ideal Roussouly spine shape was correlated to a marked and significant decrease in risk of revision surgery due to mechanical failure. Nonetheless, the overall revision risk was elevated in both groups.

Level of evidence

Therapeutic III.

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
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Good CR, Auerbach JD, O’Leary PT et al (2011) Adult spine deformity. Curr Rev Musculoskelet Med 4:159–167

    PubMed  PubMed Central  Google Scholar 

  2. Pellisé F, Vila-Casademunt A, Ferrer M et al (2014) Impact on health related quality of life of adult spinal deformity (ASD) compared with other chronic conditions. Eur Spine J 24:3–11

    PubMed  Google Scholar 

  3. Diebo BG, Shah NV, Boachie-Adjei O et al (2019) Adult spinal deformity. Lancet 394:160–172

    PubMed  Google Scholar 

  4. Ames CP, Scheer JK, Lafage V et al (2016) Adult spinal deformity: epidemiology, health impact, evaluation, and management. Spine Deform 4:310–322

    PubMed  Google Scholar 

  5. Carter OD, Haynes SG (1987) Prevalence rates for scoliosis in US adults: results from the first National Health and Nutrition Examination Survey. Int J Epidemiol 16:537–544

    CAS  PubMed  Google Scholar 

  6. Francis RS (1988) Scoliosis screening of 3,000 college-aged women. The Utah Study–phase 2. Phys Ther 68:1513–1516

    CAS  PubMed  Google Scholar 

  7. Kebaish KM, Neubauer PR, Voros GD et al (2011) Scoliosis in adults aged forty years and older: prevalence and relationship to age, race, and gender. Spine (Phila Pa 1976) 36:731–736

    Google Scholar 

  8. Pérennou D, Marcelli C, Hérisson C et al (1994) Adult lumbar scoliosis. Epidemiologic aspects in a low-back pain population. Spine (Phila Pa 1976) 19:123–128

    Google Scholar 

  9. Schwab F, Dubey A, Gamez L et al (2005) Adult scoliosis: prevalence, SF-36, and nutritional parameters in an elderly volunteer population. Spine (Phila Pa 1976) 30:1082–1085

    Google Scholar 

  10. Lutz W, Sanderson W, Scherbov S (2008) The coming acceleration of global population ageing. Nature 451:716–719

    CAS  PubMed  Google Scholar 

  11. Jacobsen LA, Kent M, Lee M et al (2011) America´s aging population. Popul Bull 66:1–16

    Google Scholar 

  12. Fehlings MG, Tetreault L, Nater A et al (2015) The aging of the global population. Neurosurgery 77:S1–5

    PubMed  Google Scholar 

  13. Smith JS, Shaffrey CI, Bess S et al (2017) Recent and emerging advances in spinal deformity. Neurosurgery 80:S70–85

    PubMed  Google Scholar 

  14. Youssef JA, Orndorff DO, Patty CA et al (2013) Current status of adult spinal deformity. Glob Spine J 3:051–62

    CAS  Google Scholar 

  15. Passias PG, Jalai CM, Line BG et al (2018) Patient profiling can identify patients with adult spinal deformity (ASD) at risk for conversion from nonoperative to surgical treatment: initial steps to reduce ineffective ASD management. Spine J 18:234–244

    PubMed  Google Scholar 

  16. Teles AR, Mattei TA, Righesso O et al (2017) Effectiveness of operative and nonoperative care for adult spinal deformity: systematic review of the literature. Glob Spine J 7:170–178

    Google Scholar 

  17. Yadla S, Maltenfort MG, Ratliff JK et al (2010) Adult scoliosis surgery outcomes: a systematic review. Neurosurg Focus 28:E3

    PubMed  Google Scholar 

  18. Charosky S, Guigui P, Blamoutier A et al (2012) Complications and risk factors of primary adult scoliosis surgery. Spine (Phila Pa 1976) 37:693–700

    Google Scholar 

  19. Sciubba DM, Yurter A, Smith JS et al (2015) A comprehensive review of complication rates after surgery for adult deformity: a reference for informed consent. Spine Deform 3:575–594

    PubMed  Google Scholar 

  20. Bari TJ, Karstensen S, Sørensen MD, et al. (2019) Readmission following complex spine surgery in a prospective cohort of 679 patients—2-years follow-up using the Spine AdVerse Event Severity (SAVES) system. Spine J. https://doi.org/10.1016/j.spinee.2019.12.004

  21. Daubs MD, Lenke LG, Cheh G et al (2007) Adult spinal deformity surgery: Complications and outcomes in patients over age 60. Spine (Phila Pa 1976) 32:2238–2244

    Google Scholar 

  22. Lau D, Clark AJ, Scheer JK et al (2014) Proximal junctional kyphosis and failure after spinal deformity surgery: a systematic review of the literature as a background to classification development. Spine (Phila Pa 1976) 39:2093–2102

    Google Scholar 

  23. Smith JS, Klineberg E, Lafage V et al (2016) Prospective multicenter assessment of perioperative and minimum 2-year postoperative complication rates associated with adult spinal deformity surgery. J Neurosurg Spine 25:1–14

    PubMed  Google Scholar 

  24. Hallager DW, Karstensen S, Bukhari N et al (2017) Radiographic predictors for mechanical failure after adult spinal deformity surgery. Spine (Phila Pa 1976) 42:E855–E863

    Google Scholar 

  25. Jacobs E, van Royen BJ, van Kuijk SMJ et al (2019) Prediction of mechanical complications in adult spinal deformity surgery—the GAP score versus the Schwab classification. Spine J 19:781–788

    PubMed  Google Scholar 

  26. Legaye J, Duval-Beaupère G, Hecquet J et al (1998) Pelvic incidence: a fundamental pelvic parameter for three-dimensional regulation of spinal sagittal curves. Eur Spine J 7:99–103

    CAS  PubMed  PubMed Central  Google Scholar 

  27. Scheer JK, Keefe M, Lafage V et al (2017) Importance of patient-reported individualized goals when assessing outcomes for adult spinal deformity (ASD): initial experience with a Patient Generated Index (PGI). Spine J 17:1397–1405

    PubMed  Google Scholar 

  28. Schwab F, Patel A, Ungar B et al (2010) Adult spinal deformity—postoperative standing imbalance. Spine (Phila Pa 1976) 35:2224–2231

    Google Scholar 

  29. Schwab FJ, Blondel B, Bess S et al (2013) Radiographical spinopelvic parameters and disability in the setting of adult spinal deformity: a prospective multicenter analysis. Spine (Phila Pa 1976) 38:E803–E812

    Google Scholar 

  30. Boulay C, Tardieu C, Hecquet J et al (2006) Sagittal alignment of spine and pelvis regulated by pelvic incidence: standard values and prediction of lordosis. Eur Spine J 15:415–422

    CAS  PubMed  Google Scholar 

  31. Roussouly P, Gollogly S, Berthonnaud E et al (2005) Classification of the normal variation in the sagittal alignment of the human lumbar spine and pelvis in the standing position. Spine (Phila Pa 1976) 30:346–353

    Google Scholar 

  32. Laouissat F, Sebaaly A, Gehrchen M et al (2018) Classification of normal sagittal spine alignment: refounding the Roussouly classification. Eur Spine J 27:2002–2011

    PubMed  Google Scholar 

  33. Sebaaly A, Grobost P, Mallam L et al (2018) Description of the sagittal alignment of the degenerative human spine. Eur Spine J 27:489–496

    PubMed  Google Scholar 

  34. Bari TJ, Hallager DW, Tøndevold N et al (2019) Moderate interrater and substantial intrarater reproducibility of the Roussouly classification system in patients with adult spinal deformity. Spine Deform 7:312–318

    PubMed  Google Scholar 

  35. Ohrt-Nissen S, Bari T, Dahl B et al (2018) Sagittal alignment after surgical treatment of adolescent idiopathic scoliosis—application of the Roussouly classification. Spine Deform 6:537–544

    PubMed  Google Scholar 

  36. Kharrat K, Sebaaly A, Assi A et al (2016) Is there a correlation between the apical vertebral rotation and the pelvic incidence in adolescent idiopathic scoliosis? Glob Spine J 6:s-0036

    Google Scholar 

  37. Maillot C, Ferrero E, Fort D et al (2015) Reproducibility and repeatability of a new computerized software for sagittal spinopelvic and scoliosis curvature radiologic measurements: Keops?? Eur Spine J 24:1574–1581

    CAS  PubMed  Google Scholar 

  38. Frenkel MB, Frey CD, Renfrow JJ et al (2018) A call for consistent radiographic definition of lumbar lordosis. J Neurosurg Spine 29:231–234

    PubMed  Google Scholar 

  39. Yilgor C, Sogunmez N, Boissiere L et al (2017) Global alignment and proportion (GAP) score. J Bone Jt Surg Am 99A:1661–1672

    Google Scholar 

  40. R Core Team (2019) R: A language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.Rproject.org/

  41. Scheike TH, Zhang M-J (2011) Analyzing competing risk data using the R timereg package. J Stat Softw 38:i02

    PubMed  PubMed Central  Google Scholar 

  42. Scheike TH, Martinussen T (2006) Timereg: dynamic regression models for survival data. Springer, New-York

    Google Scholar 

  43. Therneau TM, Grambsch PM (2015) A package for survival analysis in R. version 2.38. https://CRAN.R-project.org/package=survival

  44. Gerds TA (2017) Prodlim: product-limit estimation for censored event history analysis. R package version 1.6.1. https://CRAN.R-project.org/package=prodlim

  45. Aalen OO, Johansen S (1978) An Empirical transition matrix for non-homogeneous Markov chains based on censored observations. Scand J Stat 5:141–150

    Google Scholar 

  46. Fine JP (2001) Regression modeling of competing crude failure probabilities. Biostatistics 2:85–97

    CAS  PubMed  Google Scholar 

  47. Gray RJ (1988) A class of K-sample tests for comparing the cumulative incidence of a competing risk. Ann Stat 16:1141–1154

    Google Scholar 

  48. Varadhan R, Weiss CO, Segal JB et al (2010) Evaluating health outcomes in the presence of competing risks: a review of statistical methods and clinical applications. Med Care 48:S96–105

    PubMed  Google Scholar 

  49. Scrucca L, Santucci A, Aversa F (2010) Regression modeling of competing risk using R: an in depth guide for clinicians. Bone Marrow Transplant 45:1388–1395

    CAS  PubMed  Google Scholar 

  50. Eriksson F, Li J, Scheike T et al (2015) The proportional odds cumulative incidence model for competing risks. Biometrics 71:687–695

    PubMed  PubMed Central  Google Scholar 

  51. Nicholls FH, Bae J, Theologis AA et al (2017) Factors associated with the development of and revision for proximal junctional kyphosis in 440 consecutive adult spinal deformity patients. Spine (Phila Pa 1976) 42:1693–1698

    Google Scholar 

  52. Passias PG, Soroceanu A, Yang S et al (2016) Predictors of revision surgical procedure excluding wound complications in adult spinal deformity and impact on patient-reported outcomes and satisfaction: a two-year follow-up. J Bone Joint Surg Am 98:536–543

    PubMed  Google Scholar 

  53. Kim YJ, Bridwell KH, Lenke LG et al (2008) Proximal junctional kyphosis in adult spinal deformity after segmental posterior spinal instrumentation and fusion. Spine (Phila Pa 1976) 33:2179–2184

    Google Scholar 

  54. Kim YJ, Bridwell KH, Lenke LG et al (2006) Pseudarthrosis in adult spinal deformity following multisegmental instrumentation and arthrodesis. J Bone Jt Surg 88:721–728

    Google Scholar 

  55. Inoue S, Khashan M, Fujimori T, et al. (2015) Analysis of mechanical failure associated with reoperation in spinal fusion to the sacrum in adult spinal deformity. J Orthop Sci 20(4):609–616

    PubMed  Google Scholar 

  56. Lertudomphonwanit T, Kelly MP, Bridwell KH et al (2018) Rod fracture in adult spinal deformity surgery fused to the sacrum: prevalence, risk factors, and impact on health-related quality of life in 526 patients. Spine J 18:1612–1624

    PubMed  Google Scholar 

  57. Park SJ, Lee CS, Chung SS et al (2016) Different risk factors of proximal junctional kyphosis and proximal junctional failure following long instrumented fusion to the sacrum for adult spinal deformity: survivorship analysis of 160 patients. Neurosurgery 80:279–286

    Google Scholar 

  58. Smith JS, Shaffrey E, Klineberg E et al (2014) Prospective multicenter assessment of risk factors for rod fracture following surgery for adult spinal deformity. J Neurosurg Spine 21:994–1003

    PubMed  Google Scholar 

  59. Ames CP, Smith JS, Scheer JK et al (2012) Impact of spinopelvic alignment on decision making in deformity surgery in adults: a review. J Neurosurg Spine 16:547–564

    PubMed  Google Scholar 

  60. Rothenfluh DA, Mueller DA, Rothenfluh E et al (2015) Pelvic incidence-lumbar lordosis mismatch predisposes to adjacent segment disease after lumbar spinal fusion. Eur Spine J 24:1251–1258

    PubMed  Google Scholar 

  61. Schwab F, Ungar B, Blondel B et al (2012) Scoliosis research society—Schwab adult spinal deformity classification. Spine (Phila Pa 1976) 37:1077–1082

    Google Scholar 

  62. Kim HJ, Bridwell KH, Lenke LG et al (2014) Patients with proximal junctional kyphosis requiring revision surgery have higher postoperative lumbar lordosis and larger sagittal balance corrections. Spine (Phila Pa 1976) 39:576–580

    Google Scholar 

  63. Maruo K, Ha Y, Inoue S et al (2013) Predictive factors for proximal junctional kyphosis in long fusions to the sacrum in adult spinal deformity. Spine (Phila Pa 1976) 38:14–20

    Google Scholar 

  64. Bridwell KH, Lenke LG, Cho SK et al (2013) Proximal junctional kyphosis in primary adult deformity surgery: evaluation of 20 degrees as a critical angle. Neurosurgery 72:899–906

    PubMed  Google Scholar 

  65. 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 (Phila Pa 1976) 37:1479–1489

    Google Scholar 

  66. Kim HJ, Yagi M, Nyugen J et al (2012) Combined anterior-posterior surgery is the most important risk factor for developing proximal junctional kyphosis in idiopathic scoliosis. Clin Orthop Relat Res 470:1633–1639

    PubMed  Google Scholar 

  67. Lonner BS, Newton P, Betz R et al (2007) Operative management of Scheuermannʼs kyphosis in 78 patients. Spine (Phila Pa 1976) 32:2644–2652

    Google Scholar 

  68. Kim YJ, Lenke LG, Bridwell KH et al (2007) Proximal junctional kyphosis in adolescent idiopathic scoliosis after 3 different types of posterior segmental spinal instrumentation and fusions: incidence and risk factor analysis of 410 cases. Spine (Phila Pa 1976) 32:2731–2738

    Google Scholar 

  69. Sánchez-Mariscal F, Gomez-Rice A, Izquierdo E et al (2014) Survivorship analysis after primary fusion for adult scoliosis. Prognostic factors for reoperation. Spine J 14:1629–1634

    PubMed  Google Scholar 

  70. Barrey C, Jund J, Noseda O et al (2007) Sagittal balance of the pelvis-spine complex and lumbar degenerative diseases. A comparative study about 85 cases. Eur Spine J 16:1459–1467

    PubMed  PubMed Central  Google Scholar 

  71. Schwab F, Lafage V, Patel A et al (2009) Sagittal plane considerations and the pelvis in the adult patient. Spine J 34:1828–1833

    Google Scholar 

  72. Barrey C, Roussouly P, Perrin G et al (2011) Sagittal balance disorders in severe degenerative spine. Can we identify the compensatory mechanisms? Eur Spine J 20:626–633

    PubMed  PubMed Central  Google Scholar 

  73. Lafage V, Schwab F, Patel A et al (2009) Pelvic tilt and truncal inclination. Spine (Phila Pa 1976) 34:E599–606

    Google Scholar 

  74. Lazennec J-Y, Brusson A, Rousseau M-A (2011) Hip–spine relations and sagittal balance clinical consequences. Eur Spine J 20:686–698

    PubMed  PubMed Central  Google Scholar 

  75. Smith JS, Klineberg E, Schwab F et al (2013) Change in classification grade by the SRS-Schwab adult spinal deformity classification predicts impact on health-related quality of life measures. Spine (Phila Pa 1976) 38:1663–1671

    Google Scholar 

  76. Bari TJ, Ohrt-Nissen S, Hansen LV et al (2019) Ability of the global alignment and proportion score to predict mechanical failure following adult spinal deformity surgery—validation in 149 patients with two-year follow-up. Spine Deform 7:331–337

    PubMed  Google Scholar 

  77. Barrey C (2015) Current strategies for the restoration of adequate lordosis during lumbar fusion. World J Orthop 6:117

    PubMed  PubMed Central  Google Scholar 

  78. Sebaaly A, Riouallon G, Obeid I et al (2018) Proximal junctional kyphosis in adult scoliosis: comparison of four radiological predictor models. Eur Spine J 27:613–621

    PubMed  Google Scholar 

  79. Massier JRA, Ogink PT, Schlösser TPC et al (2019) Sagittal spinal parameters after en bloc resection of mobile spine tumors. Spine J 19:1606–1612

    PubMed  Google Scholar 

  80. Sebaaly A, Kharrat K, Kreichati G et al (2016) Influence of the level of pedicle subtraction osteotomy on pelvic tilt change in adult spinal deformity. Glob Spine J 6:s-0036

    Google Scholar 

Download references

Funding

No external funding was received.

Author information

Authors and Affiliations

Authors

Contributions

TJB: substantial contributions to the conception or design of the work, substantial contributions to the acquisition, analysis and interpretation of data, revising the work critically for important intellectual content, final approval of the version to be published; LVH and MG: substantial contributions to the conception or design of the work, revising the work critically for important intellectual content, final approval of the version to be published.

Corresponding author

Correspondence to Tanvir Johanning Bari.

Ethics declarations

Conflict of interest

MG (institutional grants from K2M and Medtronic outside of the submitted work), the remaining authors report no conflicts of interest.

Ethical approval

This study was approved by the National Health and Medical authority and The National Data Protection Agency.

Informed consent

This study includes no experimental investigation.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary file1 (PPTX 5356 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bari, T.J., Hansen, L.V. & Gehrchen, M. Surgical correction of Adult Spinal Deformity in accordance to the Roussouly classification: effect on postoperative mechanical complications. Spine Deform 8, 1027–1037 (2020). https://doi.org/10.1007/s43390-020-00112-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s43390-020-00112-6

Keywords

Navigation